57 20 2150 Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Conference Papers Conference Paper Faculty Publications- Conference Papers Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource A Comprehensive Study on E-learning Environments for Deaf or Hard of Hearing Learners Subject The topic of the resource adaptive e-learning; d/DHH; e-learning; machine learning; personalization Description An account of the resource Quality education is the fundamental right of every individual regardless of the disabilities they have. For the Deaf or Hard of Hearing (d/DHH) people, e-learning is the most promising way to access the educational materials referred to as digital learning objects (LO) at any time and space which increase their autonomous learning skills. This form of instruction delivery was widely accepted during the outbreak of Covid-19. Hence a background study has been conducted to investigate the challenges in teaching the d/DHH learners during the pandemic. This research work aims at providing a personalized e-learning environment to the d/DHH student community belonging to St. Clare Oral Higher Secondary School for The Deaf, situated in Kerala. To build personalized systems, the primary step is to review the existing e-learning solutions available in the literature and the adaptation techniques implemented by them to offer personalization in line with the components of traditional adaptive e-learning systems. The study carried out in this paper illuminates the need of personalized e-learning platforms that adapt the basic needs, abilities and disabilities of deaf learners which will find the 'best learning solutions' in the form of learning objects. 2023 IEEE. Creator An entity primarily responsible for making the resource Poly A.; Nizar Banu P.K. Source A related resource from which the described resource is derived Proceedings of the ACCTHPA 2023 - Conference on Advanced Computing and Communication Technologies for High Performance Applications Publisher An entity responsible for making the resource available Institute of Electrical and Electronics Engineers Inc. Date A point or period of time associated with an event in the lifecycle of the resource 2023-01-01 Identifier An unambiguous reference to the resource within a given context <a href="https://doi.org/10.1109/ACCTHPA57160.2023.10083367" target="_blank" rel="noreferrer noopener">https://doi.org/10.1109/ACCTHPA57160.2023.10083367</a> <a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85156233522&doi=10.1109%2FACCTHPA57160.2023.10083367&partnerID=40&md5=ece2103b9d3e9b5e40117f23bfa24660" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85156233522&doi=10.1109%2fACCTHPA57160.2023.10083367&partnerID=40&md5=ece2103b9d3e9b5e40117f23bfa24660</a> Rights Information about rights held in and over the resource Restricted Access Relation A related resource ISBN: 979-835039844-1 Format The file format, physical medium, or dimensions of the resource Online Language A language of the resource English Type The nature or genre of the resource Conference paper Coverage The spatial or temporal topic of the resource, the spatial applicability of the resource, or the jurisdiction under which the resource is relevant Poly A., CHRIST(Deemed to Be University), Department of Computer Science, Bangalore, India; Nizar Banu P.K., CHRIST(Deemed to Be University), Department of Computer Science, Bangalore, India Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Conference Papers Conference Paper Faculty Publications- Conference Papers Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource ByWalk: Unriddling Blind Overtake Scenario with Frugal Safety System Subject The topic of the resource Contour growth rate algorithm; SSD: single-shot detector; Temporal smoothing; V2V: Vehicle to VehicleCommunication Description An account of the resource Safety is crucial, and the truth is ineluctable with its practicality. We strive forward to rev up the safety protocols even more in the field of Road Safety in particular. Countries like India face around 5,00,000 accidents, which lead to 1,80,000 demises each year. The two-lane one-way roads present a risk of the overtaking vehicle crashing onto an incoming car (from the opposite direction) that the overtaking vehicle is unaware of. We seek to achieve two equivocal milestones with our idea in the blind overtake issue, namely, technological aid and economic feasibility. This makes our concept equally impactful in all situations. The technological precision and advancement will help anyone with enough resources to use them tangibly, and economic feasibility ensures a threshold of safety levels that must be put into action. In fact, we are slightly inclined toward the frugality of the architecture paradigm of our idea because safety is everyones right. On the economic side, we propose an LED board-based solution that presents enough information about the incoming vehicle with which a blind overtake condition can be avoided. Besides, we put forward the idea of vehicle-to-vehicle communication for streaming the video content to the trailing cars with smarter selection and added ease to the drivers. 2023, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. Creator An entity primarily responsible for making the resource Shaw S.; Siddharth S.; Ramnath S.; Nithin S.K.; Kulanthaivelu S.; Gnana Prakasi O.S. Source A related resource from which the described resource is derived Lecture Notes in Electrical Engineering, Vol-966 LNEE, pp. 141-153. Publisher An entity responsible for making the resource available Springer Science and Business Media Deutschland GmbH Date A point or period of time associated with an event in the lifecycle of the resource 2023-01-01 Identifier An unambiguous reference to the resource within a given context <a href="https://doi.org/10.1007/978-981-19-8338-2_11" target="_blank" rel="noreferrer noopener">https://doi.org/10.1007/978-981-19-8338-2_11</a> <a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85161188458&doi=10.1007%2F978-981-19-8338-2_11&partnerID=40&md5=8d78cd6f11d98558fd8466c3a3cdf8f9" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85161188458&doi=10.1007%2f978-981-19-8338-2_11&partnerID=40&md5=8d78cd6f11d98558fd8466c3a3cdf8f9</a> Rights Information about rights held in and over the resource Restricted Access Relation A related resource ISSN: 18761100; ISBN: 978-981198337-5 Format The file format, physical medium, or dimensions of the resource Online Language A language of the resource English Type The nature or genre of the resource Conference paper Coverage The spatial or temporal topic of the resource, the spatial applicability of the resource, or the jurisdiction under which the resource is relevant Shaw S., School of Electronics Engineering, Vellore Institute of Technology, Chennai, India; Siddharth S., School of Electronics Engineering, Vellore Institute of Technology, Chennai, India; Ramnath S., School of Electronics Engineering, Vellore Institute of Technology, Chennai, India; Nithin S.K., School of Electronics Engineering, Vellore Institute of Technology, Chennai, India; Kulanthaivelu S., School of Electronics Engineering, Vellore Institute of Technology, Chennai, India; Gnana Prakasi O.S., CHRIST (Deemed to be University), Bangalore, India Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Conference Papers Conference Paper Faculty Publications- Conference Papers Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Systematic Review on Decentralised Artificial Intelligence and Its Applications Subject The topic of the resource Artificial Intelligence; Blockchain; Data Privacy; Decentralised; Federated Learning; Machine Learning Description An account of the resource Initially, Artificial Intelligence (AI) models were centralized. This resulted in various challenges. To overcome this challenge, the decentralized or distributed frameworks were developed. Recent advancements in blockchain technology and cryptography have accelerated the decentralization process. Decentralized Artificial Intelligence (DAI) is gaining a significant research attention in recent times. This study reviews various DAI techniques such as Decentralized machine learning frameworks, Federated Learning and Distributed AI marketplaces. In particular, this study focuses on reviewing the recent developments in DAI by analyzing its potential advantages and challenges. 2023 IEEE. Creator An entity primarily responsible for making the resource Vincent M.; George A.E.; Christa T.S.; Jayapandian N. Source A related resource from which the described resource is derived International Conference on Innovative Data Communication Technologies and Application, ICIDCA 2023 - Proceedings, pp. 241-246. Publisher An entity responsible for making the resource available Institute of Electrical and Electronics Engineers Inc. Date A point or period of time associated with an event in the lifecycle of the resource 2023-01-01 Identifier An unambiguous reference to the resource within a given context <a href="https://doi.org/10.1109/ICIDCA56705.2023.10100017" target="_blank" rel="noreferrer noopener">https://doi.org/10.1109/ICIDCA56705.2023.10100017</a> <a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85159081131&doi=10.1109%2FICIDCA56705.2023.10100017&partnerID=40&md5=fc54eb211df68578b0ce00e71af94b5d" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85159081131&doi=10.1109%2fICIDCA56705.2023.10100017&partnerID=40&md5=fc54eb211df68578b0ce00e71af94b5d</a> Rights Information about rights held in and over the resource Restricted Access Relation A related resource ISBN: 979-835039720-8 Format The file format, physical medium, or dimensions of the resource Online Language A language of the resource English Type The nature or genre of the resource Conference paper Coverage The spatial or temporal topic of the resource, the spatial applicability of the resource, or the jurisdiction under which the resource is relevant Vincent M., Christ University, Department of Cse, Bangalore, India; George A.E., Christ University, Department of Cse, Bangalore, India; Christa T.S., Christ University, Department of Cse, Bangalore, India; Jayapandian N., Christ University, Department of Cse, Bangalore, India Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Conference Papers Conference Paper Faculty Publications- Conference Papers Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Identification of Driver Drowsiness Detection using a Regularized Extreme Learning Machine Subject The topic of the resource Convolutional Neural Network (CNN); Extreme Learning Machine (ELM).; Regularized Extreme Learning Machine (RELM) Description An account of the resource In the field of accident avoidance systems, figuring out how to keep drivers from getting sleepy is a major challenge. The only way to prevent dozing off behind the wheel is to have a system in place that can accurately detect when a driver's attention has drifted and then alert and revive them. This paper presents a method for detection that makes use of image processing software to examine video camera stills of the driver's face. Driver inattention is measured by how much the eyes are open or closed. This paper introduces Regularized Extreme Learning Machine, a novel approach based on the structural risk reduction principle and weighted least squares, which is applied following preprocessing, binarization, and noise removal. Generalization performance was significantly improved in most cases using the proposed algorithm without requiring additional training time. This approach outperforms both the CNN and ELM models, with an accuracy of around 99% being achieved. 2023 IEEE. Creator An entity primarily responsible for making the resource Mohan R.; Chalasani S.; Suma Christal Mary S.; Chauhan A.; Parte S.A.; Anusuya S. Source A related resource from which the described resource is derived Proceedings of the 2023 2nd International Conference on Electronics and Renewable Systems, ICEARS 2023, pp. 1233-1238. Publisher An entity responsible for making the resource available Institute of Electrical and Electronics Engineers Inc. Date A point or period of time associated with an event in the lifecycle of the resource 2023-01-01 Identifier An unambiguous reference to the resource within a given context <a href="https://doi.org/10.1109/ICEARS56392.2023.10085032" target="_blank" rel="noreferrer noopener">https://doi.org/10.1109/ICEARS56392.2023.10085032</a> <a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85153343063&doi=10.1109%2FICEARS56392.2023.10085032&partnerID=40&md5=b3bd2dd6b27b357c5f67e9587f586a21" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85153343063&doi=10.1109%2fICEARS56392.2023.10085032&partnerID=40&md5=b3bd2dd6b27b357c5f67e9587f586a21</a> Rights Information about rights held in and over the resource Restricted Access Relation A related resource ISBN: 979-835034664-0 Format The file format, physical medium, or dimensions of the resource Online Language A language of the resource English Type The nature or genre of the resource Conference paper Coverage The spatial or temporal topic of the resource, the spatial applicability of the resource, or the jurisdiction under which the resource is relevant Mohan R., Shri Ram Institute of Technology, Ece, Department, Madya Pradesh, Jabalpur, India; Chalasani S., Eluru Vatluru, Department of Computer Science and Engineering, Andhra Pradesh, India; Suma Christal Mary S., Panimalar Engineering College, Department of Information Technology, Tamilnadu, Chennai, India; Chauhan A., Deemed to Be University, Christ, Department of Life Sciences, Karnataka, Bengaluru, India; Parte S.A., Mits Gwalior, Department of Computer Science and Engineering, Madhya Pradesh, India; Anusuya S., K.Ramakrishnan College of Engineering, Department of Electronics and Communication Engineering, Tamilnadu, India Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Conference Papers Conference Paper Faculty Publications- Conference Papers Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Towards Computation Offloading Approaches in IoT-Fog-Cloud Environment: Survey on Concepts, Architectures, Tools and Methodologies Subject The topic of the resource Computational offloading; Internet of Things (IoT); IoT-Fog-Cloud architecture; Offloading algorithms Description An account of the resource The Internet of Things (IoT) provides communication and processing power to different entities connected to it, thereby redefining the way objects interact with one another. IoT has evolved as a promising platform within short duration of time due to its less complexity and wide applicability. IoT applications generally rely on cloud for extended storage, processing and analytics. Cloud computing increased the acceptance of IoT applications due to enhanced storage and processing. However, the integration does not offer support for latency-sensitive IoT applications. The latency-sensitive IoT applications had greatly benefited with the introduction of fog/edge layer to the existing IoT-Cloud architecture. The fog layer lies close to the edge of the network making the response time better and reducing the delay considerably. The three-tier architecture is still in its earlier phase and needs to be researched further. This paper addresses the offloading issues in IoT-Fog-Cloud architecture which helps to evenly distribute the incoming workload to available fog nodes. Offloading algorithms have to be carefully chosen to improve the performance of application. The different algorithms available in literature, the methodologies and simulation environments used for the implementation, the benefits of each approach and future research trends for offloading are surveyed in this paper. The survey shows that the offloading algorithms are an active research area where more explorations have to be done. 2023, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. Creator An entity primarily responsible for making the resource Thomas P.; Jose D.V. Source A related resource from which the described resource is derived Lecture Notes in Networks and Systems, Vol-613 LNNS, pp. 37-52. Publisher An entity responsible for making the resource available Springer Science and Business Media Deutschland GmbH Date A point or period of time associated with an event in the lifecycle of the resource 2023-01-01 Identifier An unambiguous reference to the resource within a given context <a href="https://doi.org/10.1007/978-981-19-9379-4_4" target="_blank" rel="noreferrer noopener">https://doi.org/10.1007/978-981-19-9379-4_4</a> <a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85161166260&doi=10.1007%2F978-981-19-9379-4_4&partnerID=40&md5=3edd1c4631a48244b0d22cb8d363d1be" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85161166260&doi=10.1007%2f978-981-19-9379-4_4&partnerID=40&md5=3edd1c4631a48244b0d22cb8d363d1be</a> Rights Information about rights held in and over the resource Restricted Access Relation A related resource ISSN: 23673370; ISBN: 978-981199378-7 Format The file format, physical medium, or dimensions of the resource Online Language A language of the resource English Type The nature or genre of the resource Conference paper Coverage The spatial or temporal topic of the resource, the spatial applicability of the resource, or the jurisdiction under which the resource is relevant Thomas P., CHRIST (Deemed to be University), Bangalore, India; Jose D.V., CHRIST (Deemed to be University), Bangalore, India Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Conference Papers Conference Paper Faculty Publications- Conference Papers Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource A Hybrid Machine Learning Model (NB-SVM) for Cardiovascular Disease Prediction Subject The topic of the resource Cardiovascular Disease; Machine Learning (ML); Prediction; SVM Description An account of the resource One of the leading causes of death is heart disease. The prediction of cardiovascular disease remains as a significant challenge in the clinical data analysis domain. Although predicting cardiac disease with a high degree of accuracy is highly challenging, it is possible with Machine Learning (ML) approaches. The implementation of an effective ML system can minimize the need for additional medical testing, minimize human intervention, and predict cardiovascular diseases with high accuracy. This type of assessment can reduce the disease's severity and mortality rate. Only a few studies show how machine learning techniques might forecast cardiac disease. This study presents a method for improving cardiovascular disease prediction accuracy using Machine Learning (ML) technologies. Various feature combinations and many known classification techniques are used to develop various cardio vascular disease prediction models. The proposed hybrid Machine Learning (ML) prediction model for heart disease leverages a higher degree of performance and accuracy. 2023 IEEE. Creator An entity primarily responsible for making the resource Srinadh V.; Maram B.; Mandala J.; Maram R.R. Source A related resource from which the described resource is derived 2nd International Conference on Sustainable Computing and Data Communication Systems, ICSCDS 2023 - Proceedings, pp. 7-13. Publisher An entity responsible for making the resource available Institute of Electrical and Electronics Engineers Inc. Date A point or period of time associated with an event in the lifecycle of the resource 2023-01-01 Identifier An unambiguous reference to the resource within a given context <a href="https://doi.org/10.1109/ICSCDS56580.2023.10104808" target="_blank" rel="noreferrer noopener">https://doi.org/10.1109/ICSCDS56580.2023.10104808</a> <a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85159090134&doi=10.1109%2FICSCDS56580.2023.10104808&partnerID=40&md5=207f9b16b2cdd1e56c5341c0c146c13c" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85159090134&doi=10.1109%2fICSCDS56580.2023.10104808&partnerID=40&md5=207f9b16b2cdd1e56c5341c0c146c13c</a> Rights Information about rights held in and over the resource Restricted Access Relation A related resource ISBN: 978-166549199-0 Format The file format, physical medium, or dimensions of the resource Online Language A language of the resource English Type The nature or genre of the resource Conference paper Coverage The spatial or temporal topic of the resource, the spatial applicability of the resource, or the jurisdiction under which the resource is relevant Srinadh V., Gmr Institute of Technology, Department of CSE, AP, Rajam, India; Maram B., University Centre for Research and Development, Chandigarh University, Apex Institute Technology-Computer Science and Engineering, Mohali, Punjab, Gharuan, 140413, India; Mandala J., Christ(Deemed to Be) University, Department of Computer Science and Engineering, Banglore, India; Maram R.R., Cse, Chitkara University, HP, Baddi, India Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Conference Papers Conference Paper Faculty Publications- Conference Papers Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Machine Learning Techniques for Resource-Constrained Devices in IoT Applications with CP-ABE Scheme Subject The topic of the resource CP-ABE; Encryption; IoT; Machine learning; Security Description An account of the resource Ciphertext-policy attribute-based encryption (CP-ABE) is one of the promising schemes which provides security and fine-grain access control for outsourced data. The emergence of cloud computing allows many organizations to store their data, even sensitive data, in cloud storage. This raises the concern of security and access control of stored data in a third-party service provider. To solve this problem, CP-ABE can be used. CP-ABE cannot only be used in cloud computing but can also be used in other areas such as machine learning (ML) and the Internet of things (IoT). In this paper, the main focus is discussing the use of the CP-ABE scheme in different areas mainly ML and IoT. In ML, data sets are trained, and they can be used for decision-making in the CP-ABE scheme in several scenarios. IoT devices are mostly resource-constrained and has to process huge amounts of data so these kinds of resource-constrained devices cannot use the CP-ABE scheme. So, some solutions for these problems are discussed in this paper. Two security schemes used in resource-constrained devices are discussed. 2023, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. Creator An entity primarily responsible for making the resource Ancy P.R.; Krishna A.V.N. Source A related resource from which the described resource is derived Lecture Notes in Networks and Systems, Vol-613 LNNS, pp. 557-566. Publisher An entity responsible for making the resource available Springer Science and Business Media Deutschland GmbH Date A point or period of time associated with an event in the lifecycle of the resource 2023-01-01 Identifier An unambiguous reference to the resource within a given context <a href="https://doi.org/10.1007/978-981-19-9379-4_40" target="_blank" rel="noreferrer noopener">https://doi.org/10.1007/978-981-19-9379-4_40</a> <a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85161209754&doi=10.1007%2F978-981-19-9379-4_40&partnerID=40&md5=0de2aa554104c6fce9d962e444f5ac18" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85161209754&doi=10.1007%2f978-981-19-9379-4_40&partnerID=40&md5=0de2aa554104c6fce9d962e444f5ac18</a> Rights Information about rights held in and over the resource Restricted Access Relation A related resource ISSN: 23673370; ISBN: 978-981199378-7 Format The file format, physical medium, or dimensions of the resource Online Language A language of the resource English Type The nature or genre of the resource Conference paper Coverage The spatial or temporal topic of the resource, the spatial applicability of the resource, or the jurisdiction under which the resource is relevant Ancy P.R., Computer Science and Engineering Department, School of Engineering and Technology, CHRIST (Deemed to be University), Bangalore, India; Krishna A.V.N., Computer Science and Engineering Department, School of Engineering and Technology, CHRIST (Deemed to be University), Bangalore, India Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Conference Papers Conference Paper Faculty Publications- Conference Papers Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource A Deep Learning Method for Classification in Brain-Computer Interface Subject The topic of the resource Adaboost; Brain-Computer Interfaces (BCI); Deep Learning; Electroencephalogram (EEG) signals; Inception Network; Residual Network (ResNet); Visual Geometry Group Network (VGGNet) Description An account of the resource Neural activity is the controlling signal used in enabling BCI to have direct communication with a computer. An array of EEG signals aid in the selection of the neural signal. The feature extractors and classifiers have a specific pattern of EEG control for a given BCI protocol, which is tailor-made and limited to that specific signal. Although a single protocol is applied in the deep neural networks used in EEG-based brain-computer interfaces, which are being used in the feature extraction and classification of speech recognition and computer vision, it is unclear how these architectures find themselves generalized in other area and prototypes. The deep learning approach used in transferring knowledge acquired from the source tasks to the target tasks is called transfer learning. Conventional machine learning algorithms have been surpassed by deep neural networks while solving problems concerning the real world. However, the best deep neural networks were identified by considering the knowledge of the problem domain. A significant amount of time and computational resources have to be spent to validate this approach. This work presents a deep learning neural network architecture based on Visual Geometry Group Network (VGGNet), Residual Network (ResNet), and inception network methods. Experimental results show that the proposed method achieves better performance than other methods. 2023 IEEE. Creator An entity primarily responsible for making the resource Subramanian S.C.; Daniel D. Source A related resource from which the described resource is derived 2023 2nd International Conference on Electrical, Electronics, Information and Communication Technologies, ICEEICT 2023 Publisher An entity responsible for making the resource available Institute of Electrical and Electronics Engineers Inc. Date A point or period of time associated with an event in the lifecycle of the resource 2023-01-01 Identifier An unambiguous reference to the resource within a given context <a href="https://doi.org/10.1109/ICEEICT56924.2023.10157910" target="_blank" rel="noreferrer noopener">https://doi.org/10.1109/ICEEICT56924.2023.10157910</a> <a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85165776412&doi=10.1109%2FICEEICT56924.2023.10157910&partnerID=40&md5=987bb7d1e5a44a877bdf2af0e868d4a6" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85165776412&doi=10.1109%2fICEEICT56924.2023.10157910&partnerID=40&md5=987bb7d1e5a44a877bdf2af0e868d4a6</a> Rights Information about rights held in and over the resource Restricted Access Relation A related resource ISBN: 979-835039763-5 Format The file format, physical medium, or dimensions of the resource Online Language A language of the resource English Type The nature or genre of the resource Conference paper Coverage The spatial or temporal topic of the resource, the spatial applicability of the resource, or the jurisdiction under which the resource is relevant Subramanian S.C., CHRIST(Deemed to Be University), Departement of Computer Science and Engineering, Karnataka, Bangalore, India; Daniel D., CHRIST(Deemed to Be University), Departement of Computer Science and Engineering, Karnataka, Bangalore, India Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Conference Papers Conference Paper Faculty Publications- Conference Papers Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource CNN-Bidirectional LSTM based Approach for Financial Fraud Detection and Prevention System Subject The topic of the resource Bidirectional Long Short-Term Memory (BiLSTM); Kernel Principal Component Analysis (KPCA); Normalization Description An account of the resource Detecting fraudulent activity has become a pressing issue in the ever-expanding realm of financial services, which is vital to ensuring a positive ecosystem for everyone involved. Traditional approaches to fraud detection typically rely on rule-based algorithms or manually pick a subset of attributes to perform prediction. Yet, users have complex interactions and always display a wealth of information when using financial services. These data provide a sizable Multiview network that is underutilized by standard approaches. The proposed method solves this problem by first cleaning and normalizing the data, then using Kernel principal component analysis to extract features, and finally using these features to train a model with CNN-BiLS TM, a neural network architecture that combines the best parts of the Bidirectional Long Short-Term Memory (BiLS TM) network and the Convolution Neural Network (CNN). BiLSTM makes better use of how text fits into time by looking at both the historical context and the context of what came after. 2023 IEEE. Creator An entity primarily responsible for making the resource Madhusudhana Reddy N.; Sharada K.A.; Pilli D.; Paranthaman R.N.; Reddy K.S.; Chauhan A. Source A related resource from which the described resource is derived International Conference on Sustainable Computing and Smart Systems, ICSCSS 2023 - Proceedings, pp. 541-546. Publisher An entity responsible for making the resource available Institute of Electrical and Electronics Engineers Inc. Date A point or period of time associated with an event in the lifecycle of the resource 2023-01-01 Identifier An unambiguous reference to the resource within a given context <a href="https://doi.org/10.1109/ICSCSS57650.2023.10169800" target="_blank" rel="noreferrer noopener">https://doi.org/10.1109/ICSCSS57650.2023.10169800</a> <a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85166224899&doi=10.1109%2FICSCSS57650.2023.10169800&partnerID=40&md5=58cbecb947c0841a86df0ef6db8ec87a" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85166224899&doi=10.1109%2fICSCSS57650.2023.10169800&partnerID=40&md5=58cbecb947c0841a86df0ef6db8ec87a</a> Rights Information about rights held in and over the resource Restricted Access Relation A related resource ISBN: 979-835033360-2 Format The file format, physical medium, or dimensions of the resource Online Language A language of the resource English Type The nature or genre of the resource Conference paper Coverage The spatial or temporal topic of the resource, the spatial applicability of the resource, or the jurisdiction under which the resource is relevant Madhusudhana Reddy N., Rajeev Gandhi Memorial College of Engineering and Technology, Department of Cse, Andhra Pradesh, Nandyal, India; Sharada K.A., Hkbk College of Engineering, Department of Cse, Karnataka, Bangalore, India; Pilli D., Koneru Lakshmaiah Educational Foundation, Mba Department, Andhra Pradesh, India; Paranthaman R.N., School of Computing, College of Engineering and Technology, Srm Institute of Science and Technology, Department of Networking and Communications, Tamilnadu, India; Reddy K.S., Prakasam Engineering College, Department of Computer Science and Engineering, Andhra Pradesh, Kandukur, India; Chauhan A., Christ (Deemed to Be University), Department of Life Sciences, Karnataka, Bengaluru, India Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Conference Papers Conference Paper Faculty Publications- Conference Papers Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Applications of Classification and Recommendation Techniques to Analyze Soil Data and Water Using IOT Subject The topic of the resource Data analytics; IoT; Soil fertility Description An account of the resource As we are moving to a computerized and scientific world, data becomes an intrinsic part of our life. Agriculture sector is still unorganized with regard to automation and data analytics. This task is accomplished through sensors, data mining and analysis. In this paper, we propose real-time sensors to detect the soil features and predict the suitable crop cultivation using trained dataset. This would help the farmers to predict the type of cultivation to be done depending on the soil features. Today, the farmer can understand what type of cultivation will be prepared in the soil. Also, people of the upcoming generation will be using that sensor, different plant can be make. The cost of cultivation can be improved. Water level of the soil can be easily predicted. Which type of plant will be produced in the different soil can be predicted. So, this new type of cultivation followed by the next generation also. This paper has presented an improved by the pH sensor, water level sensor. 2023, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. Creator An entity primarily responsible for making the resource Thaiyalnayaki S.; Sambandam R.K.; Reddy T.H.S.; Reddy A.H.V.; Sai K.N.; Srinivas V. Source A related resource from which the described resource is derived Smart Innovation, Systems and Technologies, Vol-334, pp. 215-223. Publisher An entity responsible for making the resource available Springer Science and Business Media Deutschland GmbH Date A point or period of time associated with an event in the lifecycle of the resource 2023-01-01 Identifier An unambiguous reference to the resource within a given context <a href="https://doi.org/10.1007/978-981-19-8497-6_22" target="_blank" rel="noreferrer noopener">https://doi.org/10.1007/978-981-19-8497-6_22</a> <a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85164934297&doi=10.1007%2F978-981-19-8497-6_22&partnerID=40&md5=39148412a457f824cf2e95481ef9a06d" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85164934297&doi=10.1007%2f978-981-19-8497-6_22&partnerID=40&md5=39148412a457f824cf2e95481ef9a06d</a> Rights Information about rights held in and over the resource Restricted Access Relation A related resource ISSN: 21903018; ISBN: 978-981198496-9 Format The file format, physical medium, or dimensions of the resource Online Language A language of the resource English Type The nature or genre of the resource Conference paper Coverage The spatial or temporal topic of the resource, the spatial applicability of the resource, or the jurisdiction under which the resource is relevant Thaiyalnayaki S., Department of Computer Science and Engineering, School of Computing, Bharath Institute of Higher Education and Research (Deemed to be University), Selaiyur, Chennai, India; Sambandam R.K., Department of Computer Science and Engineering, School of Engineering and Technology, CHRIST (Deemed to be University), Kengeri Campus, Karnataka, Bangalore, India; Reddy T.H.S., Department of Computer Science and Engineering, School of Computing, Bharath Institute of Higher Education and Research (Deemed to be University), Selaiyur, Chennai, India; Reddy A.H.V., Department of Computer Science and Engineering, School of Computing, Bharath Institute of Higher Education and Research (Deemed to be University), Selaiyur, Chennai, India; Sai K.N., Department of Computer Science and Engineering, School of Computing, Bharath Institute of Higher Education and Research (Deemed to be University), Selaiyur, Chennai, India; Srinivas V., Department of Computer Science and Engineering, School of Computing, Bharath Institute of Higher Education and Research (Deemed to be University), Selaiyur, Chennai, India Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Conference Papers Conference Paper Faculty Publications- Conference Papers Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Structured text programming to visualize the distribution of packages on a conveyor Subject The topic of the resource Automation; Conveyor; OPC-UA; Sensors Description An account of the resource Automation is a process of increasing production and reducing the downtime of any industry. With the integration of sensor data to the cloud using an OPC-VA communication protocol, the automation becomes more prominent and interesting. However, many existing industrial controllers do not support open platform communication unified architecture (OPC-VA) and it needs an IIoT device to connect the cloud. The existing programmable logic controller in any industry have to be connected to an IIoT device through Ethernet. Sensors connected to the controller will transmit the data to the IIoT device. The transmission can also be bidirectional. In this paper, a conveyor which distributes packages is simulated in Codesys and it is visualized in a human-machine interface (HMI) screen which is in-built in the software. The hardware set-up is made with the industrial controller to execute the same. A methodology to send the data from the controller to the cloud using open platform communication unified architecture (OPC-UA) is proposed 2023 IEEE. Creator An entity primarily responsible for making the resource Pounraj M.; Lonappan L.; Ali V.S.R.; D'Couto A.L.; Deepak D.L.; Krishnan R.R. Source A related resource from which the described resource is derived 2023 2nd International Conference on Electrical, Electronics, Information and Communication Technologies, ICEEICT 2023 Publisher An entity responsible for making the resource available Institute of Electrical and Electronics Engineers Inc. Date A point or period of time associated with an event in the lifecycle of the resource 2023-01-01 Identifier An unambiguous reference to the resource within a given context <a href="https://doi.org/10.1109/ICEEICT56924.2023.10157818" target="_blank" rel="noreferrer noopener">https://doi.org/10.1109/ICEEICT56924.2023.10157818</a> <a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85165755581&doi=10.1109%2FICEEICT56924.2023.10157818&partnerID=40&md5=5b3789d79f6c9f28d1a064de21d8e67d" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85165755581&doi=10.1109%2fICEEICT56924.2023.10157818&partnerID=40&md5=5b3789d79f6c9f28d1a064de21d8e67d</a> Rights Information about rights held in and over the resource Restricted Access Relation A related resource ISBN: 979-835039763-5 Format The file format, physical medium, or dimensions of the resource Online Language A language of the resource English Type The nature or genre of the resource Conference paper Coverage The spatial or temporal topic of the resource, the spatial applicability of the resource, or the jurisdiction under which the resource is relevant Pounraj M., Centre of Excellence in Automation, CHRIST (Deemed to Be University), Karnataka, Bengaluru, India; Lonappan L., CHRIST (Deemed to Be University), Department of EEE, Karnataka, Bengaluru, India; Ali V.S.R., CHRIST (Deemed to Be University), Department of EEE, Karnataka, Bengaluru, India; D'Couto A.L., CHRIST (Deemed to Be University), Department of EEE, Karnataka, Bengaluru, India; Deepak D.L., CHRIST (Deemed to Be University), Department of EEE, Karnataka, Bengaluru, India; Krishnan R.R., CHRIST (Deemed to Be University), Department of EEE, Karnataka, Bengaluru, India Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Conference Papers Conference Paper Faculty Publications- Conference Papers Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Leaf Disease Detection in Crops based on Single-Hidden Layer Feed-Forward Neural Network and Hierarchal Temporary Memory Subject The topic of the resource Extreme Learning Machine (ELM); Grey Level Co-occurrence Matrix (GLCM); Hierarchical Temporal Memory (HTM); Leaf Disease Detection (LDD) Description An account of the resource Insects, mites, and fungi are common causes in plant disease, which can significantly reduce yields if not addressed promptly. Farmers are losing money as a result of crop illnesses. As the average under cultivation increases, it becomes more of a burden for farmers to keep an eye on everything. In this study, the median filter is used as a preprocessing step to transform the input image into a grayscale representation which used YCbCr color space. Otsu's segmentation is used to divide photographs that contain bright items on a dark background. Feature extraction using Grey Level Co-occurrence Matrix (GLCM). The proposed technique, known as ELM-HTM combines a simple yet adaptable extreme learning machine (ELM) with a Hierarchical Temporal Memory (HTM). This approach outperforms the ELM and HTM model with an accuracy of about 98.8%. 2023 IEEE. Creator An entity primarily responsible for making the resource Ambashtha K.L.; Awasthi D.K.; Shukla A.K.; Ragamayi S.; Kathiravan M.N.; Chauhan A. Source A related resource from which the described resource is derived Proceedings of the 2nd International Conference on Applied Artificial Intelligence and Computing, ICAAIC 2023, pp. 28-34. Publisher An entity responsible for making the resource available Institute of Electrical and Electronics Engineers Inc. Date A point or period of time associated with an event in the lifecycle of the resource 2023-01-01 Identifier An unambiguous reference to the resource within a given context <a href="https://doi.org/10.1109/ICAAIC56838.2023.10140322" target="_blank" rel="noreferrer noopener">https://doi.org/10.1109/ICAAIC56838.2023.10140322</a> <a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85163590157&doi=10.1109%2FICAAIC56838.2023.10140322&partnerID=40&md5=0443e811b53678ba74c077171ad0b5ad" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85163590157&doi=10.1109%2fICAAIC56838.2023.10140322&partnerID=40&md5=0443e811b53678ba74c077171ad0b5ad</a> Rights Information about rights held in and over the resource Restricted Access Relation A related resource ISBN: 978-166545630-2 Format The file format, physical medium, or dimensions of the resource Online Language A language of the resource English Type The nature or genre of the resource Conference paper Coverage The spatial or temporal topic of the resource, the spatial applicability of the resource, or the jurisdiction under which the resource is relevant Ambashtha K.L., Gopal Narayan Singh University, Sasaram, Faculty of Information Technology, Bihar, India; Awasthi D.K., Iftm University, Department of Computer Applications, Uttar Pradesh, Moradabad, India; Shukla A.K., Iftm University, Department of Computer Applications, Uttar Pradesh, Moradabad, India; Ragamayi S., College of Engineering, KoneruLakshmaiah Education Foundation, Vaddeswaram, Department of Engineering Mathematics, Andhra Pradesh, Guntur, India; Kathiravan M.N., Dr. N. G. P Arts and Science College, Department of Biotechnology, Tamil Nadu, Coimbatore, India; Chauhan A., Christ (Deemed to Be University), Department of Life Sciences, Karnataka, Bengaluru, India Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Conference Papers Conference Paper Faculty Publications- Conference Papers Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Enhancing IoT Security Through Deep Learning-Based Intrusion Detection Subject The topic of the resource Adaptive Moment Estimation; Edge Computing; Gated Recurrent Units; Intrusion Detection; IoT-23 Description An account of the resource The Internet of Things (IoT) has revolutionized the way we interact with technology by connecting everyday devices to the internet. However, this increased connectivity also poses new security challenges, as IoT devices are often vulnerable to intrusion and malicious attacks. In this paper, we propose a deep learning-based intrusion detection system for enhancing IoT security. The proposed work has been experimented on IoT-23 dataset taken from Zenodo. The proposed work has been tested with 10 machine learning classifiers and two deep learning models without feature selection and with feature selection. From the results it can be inferred that the proposed work performs well with feature selection and in deep learning model named as Gated Recurrent Units (GRU) and the GRU is tested with various optimizers namely Follow-the-Regularized-Leader (Ftrl), Adaptive Delta (Adadelta), Adaptive Gradient Algorithm (Adagrad), Root Mean Squared Propagation (RmsProp), Stochastic Gradient Descent (SGD), Nesterov-Accelerated Adaptive Moment Estimation (Nadam), Adaptive Moment Estimation (Adam). Each evaluation is done with the consideration of highest performance metric with low running time. 2023, The Author(s), under exclusive license to Springer Nature Switzerland AG. Creator An entity primarily responsible for making the resource Jyotsna A.; Mary Anita E.A. Source A related resource from which the described resource is derived Communications in Computer and Information Science, Vol-1823 CCIS, pp. 95-105. Publisher An entity responsible for making the resource available Springer Science and Business Media Deutschland GmbH Date A point or period of time associated with an event in the lifecycle of the resource 2023-01-01 Identifier An unambiguous reference to the resource within a given context <a href="https://doi.org/10.1007/978-3-031-35299-7_8" target="_blank" rel="noreferrer noopener">https://doi.org/10.1007/978-3-031-35299-7_8</a> <a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85164746190&doi=10.1007%2F978-3-031-35299-7_8&partnerID=40&md5=4705a6cd1f3506cfa37fb0f16af5bb5f" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85164746190&doi=10.1007%2f978-3-031-35299-7_8&partnerID=40&md5=4705a6cd1f3506cfa37fb0f16af5bb5f</a> Rights Information about rights held in and over the resource Restricted Access Relation A related resource ISSN: 18650929; ISBN: 978-303135298-0 Format The file format, physical medium, or dimensions of the resource Online Language A language of the resource English Type The nature or genre of the resource Conference paper Coverage The spatial or temporal topic of the resource, the spatial applicability of the resource, or the jurisdiction under which the resource is relevant Jyotsna A., Department of Computer Science and Engineering, Christ (Deemed to Be University), Bangalore, India; Mary Anita E.A., Department of Computer Science and Engineering, Christ (Deemed to Be University), Bangalore, India Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Conference Papers Conference Paper Faculty Publications- Conference Papers Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Hyperspectral Image Classification Using Denoised Stacked Auto Encoder-Based Restricted Boltzmann Machine Classifier Subject The topic of the resource Hyperspectral images; Noise; PyTorch; Restricted Boltzmann Machine; Stacked Auto Encoder Description An account of the resource This paper proposes a novel solution using an improved Stacked Auto Encoder (SAE) to deal with the problem of parametric instability associated with the classification of hyperspectral images from an extensive training set. The improved SAE reduces classification errors and discrepancies present within the individual classes. The data augmentation process resolves such constraints, where several images are produced during training by adding noises with various noise levels over an input HSI image. Further, this helps in increasing the difference between multiple classes of a training set. The improved SAE classifies HSI images using the principle of Denoising via Restricted Boltzmann Machine (RBM). This model ambiguously operates on selected bands through various band selection models. Such pre-processing, i.e., band selection, enables the classifier to eliminate noise from these bands to produce higher accuracy results. The simulation is conducted in PyTorch to validate the proposed deep DSAE-RBM under different noisy environments with various noise levels. The simulation results show that the proposed deep DSAE-RBM achieves a maximal classification rate of 92.62% without noise and 77.47% in the presence of noise. 2023, The Author(s), under exclusive license to Springer Nature Switzerland AG. Creator An entity primarily responsible for making the resource Yuvaraj N.; Praghash K.; Arshath Raja R.; Chidambaram S.; Shreecharan D. Source A related resource from which the described resource is derived Lecture Notes in Networks and Systems, Vol-647 LNNS, pp. 213-221. Publisher An entity responsible for making the resource available Springer Science and Business Media Deutschland GmbH Date A point or period of time associated with an event in the lifecycle of the resource 2023-01-01 Identifier An unambiguous reference to the resource within a given context <a href="https://doi.org/10.1007/978-3-031-27409-1_19" target="_blank" rel="noreferrer noopener">https://doi.org/10.1007/978-3-031-27409-1_19</a> <a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85163373120&doi=10.1007%2F978-3-031-27409-1_19&partnerID=40&md5=d42d9a7616a39e7fb0ec6c5ccf499c4e" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85163373120&doi=10.1007%2f978-3-031-27409-1_19&partnerID=40&md5=d42d9a7616a39e7fb0ec6c5ccf499c4e</a> Rights Information about rights held in and over the resource Restricted Access Relation A related resource ISSN: 23673370; ISBN: 978-303127408-4 Format The file format, physical medium, or dimensions of the resource Online Language A language of the resource English Type The nature or genre of the resource Conference paper Coverage The spatial or temporal topic of the resource, the spatial applicability of the resource, or the jurisdiction under which the resource is relevant Yuvaraj N., Research and Publications, ICT Academy, IIT Madras Research Park, Chennai, India; Praghash K., Department of Electronics and Communication Engineering, CHRIST University, Bengaluru, India; Arshath Raja R., Research and Publications, ICT Academy, IIT Madras Research Park, Chennai, India; Chidambaram S., Department of Electronics and Communication Engineering, CHRIST University, Bengaluru, India; Shreecharan D., Department of Electronics and Communication Engineering, CHRIST University, Bengaluru, India Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Conference Papers Conference Paper Faculty Publications- Conference Papers Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Front-End Security Analysis forCloud-Based Data Backup Application Using Cybersecurity Tools Subject The topic of the resource Cloud computing; Cyber security; Data backup application; Front-end security analysis Description An account of the resource In this challenging, demanding, daunting, and competitive business world, the rise, and growth of cybercrimes are very high. With the proliferation of Cloud Computing techniques, usually in industrial arenas, business information and important clients data are stored and managed using cloud platforms. Application programs are developed to handle such valuable information assets of the organizations. Cloud backups are provided for these client data where security is the most concerning aspect. There are many vulnerabilities in the current scenario where intruders can cause havoc. Destruction of the product can happen by exploiting vulnerabilities that can put the company and the product in jeopardy. It may create a bad impression about the organization among the customers, competitors, and the public world. This paper shows the work done by a cyber security team whose main objective is to run vulnerability analysis and mitigate threats on an application that backs up the clients data to the cloud. Cyber Security is an important aspect in all types of businesses because it protects all categories of data such as fragile data, private information, intellectual property data, and other data including governmental and industrial information systems from theft and damage which concludes in huge financial loss and loss of client data. 2023, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. Creator An entity primarily responsible for making the resource Affan Ahamed S.M.K.N.U.; Mathew Wilson V.; Elappila M.; Malayath Jose S. Source A related resource from which the described resource is derived Lecture Notes in Networks and Systems, Vol-660 LNNS, pp. 187-196. Publisher An entity responsible for making the resource available Springer Science and Business Media Deutschland GmbH Date A point or period of time associated with an event in the lifecycle of the resource 2023-01-01 Identifier An unambiguous reference to the resource within a given context <a href="https://doi.org/10.1007/978-981-99-1203-2_16" target="_blank" rel="noreferrer noopener">https://doi.org/10.1007/978-981-99-1203-2_16</a> <a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85164966132&doi=10.1007%2F978-981-99-1203-2_16&partnerID=40&md5=0c4440fd87177c619bbea935a58ab532" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85164966132&doi=10.1007%2f978-981-99-1203-2_16&partnerID=40&md5=0c4440fd87177c619bbea935a58ab532</a> Rights Information about rights held in and over the resource Restricted Access Relation A related resource ISSN: 23673370; ISBN: 978-981991202-5 Format The file format, physical medium, or dimensions of the resource Online Language A language of the resource English Type The nature or genre of the resource Conference paper Coverage The spatial or temporal topic of the resource, the spatial applicability of the resource, or the jurisdiction under which the resource is relevant Affan Ahamed S.M.K.N.U., CHRIST (Deemed to be University), Bengaluru, India; Mathew Wilson V., CHRIST (Deemed to be University), Bengaluru, India; Elappila M., CHRIST (Deemed to be University), Bengaluru, India; Malayath Jose S., University of Liverpool, Liverpool, L69 3BX, United Kingdom Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Conference Papers Conference Paper Faculty Publications- Conference Papers Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Optimal Sizing and Placement of Distributed Generation in Eastern Grid of Bhutan Using Genetic Algorithm Subject The topic of the resource Active Power Loss; Distributed Generation; Genetic Algorithm; Optimization; Voltage Profile Description An account of the resource Power system has to be stable and reliable for its users. Nevertheless, due to the aging and ignorance, it tends to be unreliable and unstable. Distributed Generation (DG) is a small-scale energy production which are usually connected towards the load. It helps in the reduction of power losses and improvement of profile of voltage in a distribution network. However, if a DG is not optimally placed and sized, it will rather lead to an increase in a power loss and also deteriorates the voltage profile. This report exhibits the importance of DG placement and sizing in a distribution network using Genetic Algorithm (GA). Apart from the optimum DG placement and sizing, different scenarios with numbers of DGs is also being analyzed in this report. On eastern grid of Bhutan, a detailed analysis for its performance is carried out through MATLAB platform to demonstrate and study the effectiveness and reliability of a methodology that is being proposed. 2023, The Author(s), under exclusive license to Springer Nature Switzerland AG. Creator An entity primarily responsible for making the resource Rai R.; Dahal R.; Wangchuk K.; Dorji S.; Praghash K.; Chidambaram S. Source A related resource from which the described resource is derived Lecture Notes in Networks and Systems, Vol-647 LNNS, pp. 831-840. Publisher An entity responsible for making the resource available Springer Science and Business Media Deutschland GmbH Date A point or period of time associated with an event in the lifecycle of the resource 2023-01-01 Identifier An unambiguous reference to the resource within a given context <a href="https://doi.org/10.1007/978-3-031-27409-1_76" target="_blank" rel="noreferrer noopener">https://doi.org/10.1007/978-3-031-27409-1_76</a> <a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85163400563&doi=10.1007%2F978-3-031-27409-1_76&partnerID=40&md5=f864a235411bc72d489556b2d0dc38df" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85163400563&doi=10.1007%2f978-3-031-27409-1_76&partnerID=40&md5=f864a235411bc72d489556b2d0dc38df</a> Rights Information about rights held in and over the resource Restricted Access Relation A related resource ISSN: 23673370; ISBN: 978-303127408-4 Format The file format, physical medium, or dimensions of the resource Online Language A language of the resource English Type The nature or genre of the resource Conference paper Coverage The spatial or temporal topic of the resource, the spatial applicability of the resource, or the jurisdiction under which the resource is relevant Rai R., Department of Electrical Engineering, Jigme Namgyel Engineering College, Dewathang, Bhutan; Dahal R., Department of Electrical Engineering, Jigme Namgyel Engineering College, Dewathang, Bhutan; Wangchuk K., Department of Electrical Engineering, Jigme Namgyel Engineering College, Dewathang, Bhutan; Dorji S., Department of Electrical Engineering, Jigme Namgyel Engineering College, Dewathang, Bhutan; Praghash K., Department of Electronics and Communication Engineering, Christ University, Bengaluru, India; Chidambaram S., Department of Electronics and Communication Engineering, Christ University, Bengaluru, India Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Conference Papers Conference Paper Faculty Publications- Conference Papers Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Blockchain Scalability: Solutions, Challenges and Future Possibilities Subject The topic of the resource Blockchain; First layer solutions; Scalability; Second layer solutions; Sharding Description An account of the resource In recent years, blockchain has received a lot of interest and has also been widely adopted. Yet, blockchain scalability is proving to be a difficult problem. To create a new node in platforms like Bitcoin takes few days of time. This scalability problem has few proposed solutions. The present alternatives to blockchain scalability are divided into two groups in this paper: first layer and second layer techniques. Second layer solutions suggest procedures that are deployed outside of the blockchain, while first layer methods propose adjustments to the blockchain (i.e., altering the blockchain design, such as block size). We concentrate on sharding as a viable first-layer solution to the scalability problem. The thought behind sharding is to split the blockchain network into numerous groups, each processing a different set of transactions. Furthermore, we compare few of the already available sharding-based blockchain solutions and present a performance-based comparative analysis in form of the benefits and drawbacks of the existing solutions. 2023, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. Creator An entity primarily responsible for making the resource Roy M.; Singh M.; Radhakrishnan B. Source A related resource from which the described resource is derived Lecture Notes in Electrical Engineering, Vol-1026 LNEE, pp. 133-149. Publisher An entity responsible for making the resource available Springer Science and Business Media Deutschland GmbH Date A point or period of time associated with an event in the lifecycle of the resource 2023-01-01 Identifier An unambiguous reference to the resource within a given context <a href="https://doi.org/10.1007/978-981-99-1410-4_12" target="_blank" rel="noreferrer noopener">https://doi.org/10.1007/978-981-99-1410-4_12</a> <a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85164905257&doi=10.1007%2F978-981-99-1410-4_12&partnerID=40&md5=078872339c94989bdd2f324536b40df2" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85164905257&doi=10.1007%2f978-981-99-1410-4_12&partnerID=40&md5=078872339c94989bdd2f324536b40df2</a> Rights Information about rights held in and over the resource Restricted Access Relation A related resource ISSN: 18761100; ISBN: 978-981991409-8 Format The file format, physical medium, or dimensions of the resource Online Language A language of the resource English Type The nature or genre of the resource Conference paper Coverage The spatial or temporal topic of the resource, the spatial applicability of the resource, or the jurisdiction under which the resource is relevant Roy M., Computer Science Department, Christ (Deemed to Be) University, Bengaluru, India, Department of Computer Applications, CMR Institute of Technology, Bengaluru, India; Singh M., Computer Science Department, Christ (Deemed to Be) University, Bengaluru, India; Radhakrishnan B., JPMorgan Chase & Co., New York, 10017, NY, United States Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Conference Papers Conference Paper Faculty Publications- Conference Papers Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Evolution, Trends, and Future Developments of Business Intelligence Subject The topic of the resource Artificial intelligence; Business intelligence; Machine learning; Strategic revolution Description An account of the resource A decision-making process backed by the integration and evaluation of an organization's data resources is referred to as business intelligence. Since information has been recognized as a business's most valuable asset, it is a crucial resource for its growth and plays an increasingly important role in a variety of organization kinds. This research article examines the history of business intelligence technologies, their relevance in current times, and all the future developments that seem possible. Organizations are transforming into various approaches based on the information and networking in the twenty-first century in response to a chaotic and ambiguous environment marked by hazy organizational boundaries and rapid change. Knowledge-based assets become apparent to be the core of long-term strategic edge and the cornerstone of success in the twenty-first century in such situations. The primary characteristics of business intelligence are determined by data analysis, processing, and visualization. Relational tables are used by business intelligence technologies to store and display a lot of organized and unstructured data. They utilize specialized tools and mathematics to produce intricate visual reports. This research has been aggravated to focus on the upcoming strategic revolution in the market with numerous cutting-edge business intelligence technologies. 2023, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. Creator An entity primarily responsible for making the resource Vinay V.; Mathew A.; Siby A. Source A related resource from which the described resource is derived Lecture Notes in Networks and Systems, Vol-645 LNNS, pp. 9-18. Publisher An entity responsible for making the resource available Springer Science and Business Media Deutschland GmbH Date A point or period of time associated with an event in the lifecycle of the resource 2023-01-01 Identifier An unambiguous reference to the resource within a given context <a href="https://doi.org/10.1007/978-981-99-0769-4_2" target="_blank" rel="noreferrer noopener">https://doi.org/10.1007/978-981-99-0769-4_2</a> <a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85164926030&doi=10.1007%2F978-981-99-0769-4_2&partnerID=40&md5=486f8a7f2b0b033dcb9c1788a506a163" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85164926030&doi=10.1007%2f978-981-99-0769-4_2&partnerID=40&md5=486f8a7f2b0b033dcb9c1788a506a163</a> Rights Information about rights held in and over the resource Restricted Access Relation A related resource ISSN: 23673370; ISBN: 978-981990768-7 Format The file format, physical medium, or dimensions of the resource Online Language A language of the resource English Type The nature or genre of the resource Conference paper Coverage The spatial or temporal topic of the resource, the spatial applicability of the resource, or the jurisdiction under which the resource is relevant Vinay V., CHRIST (Deemed to be University), Bangalore, India; Mathew A., CHRIST (Deemed to be University), Bangalore, India; Siby A., CHRIST (Deemed to be University), Bangalore, India Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Conference Papers Conference Paper Faculty Publications- Conference Papers Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Hybrid Model Using Interacted-ARIMA andANN Models forEfficient Forecasting Subject The topic of the resource INTARIMA; Interacted lagged variables; Interaction; Time series Description An account of the resource When two models applied to the same dataset produce two different sets of forecasts, it is a good practice to combine the forecasts rather than using the better one and discarding the other. Alternatively, the models can also be combined to have a hybrid model to obtain better forecasts than the individual forecasts. In this paper, an efficient hybrid model with interacted ARIMA (INTARIMA) and ANN models is proposed for forecasting. Whenever interactions among the lagged variables exist, the INTARIMA model performs better than the traditional ARIMA model. This is validated through simulation studies. The proposed hybrid model combines forecasts obtained through the INTARIMA model from the dataset, and those through the ANN model from the residuals of INTARIMA, and produces better forecasts than the individual models. The quality of the forecasts is evaluated using three error metrics viz., Root Mean Square Error (RMSE), Mean Absolute Error (MAE) and Mean Absolute Percentage Error (MAPE). Empirical results from the application of the proposed model on the real dataset - lynx - suggest that the proposed hybrid model gives superior forecasts than either of the individual models when applied separately. The methodology is replicable to any dataset having interactions among the lagged variables.. 2023, The Author(s), under exclusive license to Springer Nature Switzerland AG. Creator An entity primarily responsible for making the resource Baskaran T.; John N.; Dhandra B.V. Source A related resource from which the described resource is derived Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), Vol-14078 LNAI, pp. 747-756. Publisher An entity responsible for making the resource available Springer Science and Business Media Deutschland GmbH Date A point or period of time associated with an event in the lifecycle of the resource 2023-01-01 Identifier An unambiguous reference to the resource within a given context <a href="https://doi.org/10.1007/978-3-031-36402-0_69" target="_blank" rel="noreferrer noopener">https://doi.org/10.1007/978-3-031-36402-0_69</a> <a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85164954546&doi=10.1007%2F978-3-031-36402-0_69&partnerID=40&md5=b298399f8f7e51b3f4a2b4cfd11b4d6f" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85164954546&doi=10.1007%2f978-3-031-36402-0_69&partnerID=40&md5=b298399f8f7e51b3f4a2b4cfd11b4d6f</a> Rights Information about rights held in and over the resource Restricted Access Relation A related resource ISSN: 3029743; ISBN: 978-303136401-3 Format The file format, physical medium, or dimensions of the resource Online Language A language of the resource English Type The nature or genre of the resource Conference paper Coverage The spatial or temporal topic of the resource, the spatial applicability of the resource, or the jurisdiction under which the resource is relevant Baskaran T., CHRIST (Deemed to be University), Hosur Road, Karnataka, Bengaluru, 560029, India; John N., CHRIST (Deemed to be University), Hosur Road, Karnataka, Bengaluru, 560029, India; Dhandra B.V., CHRIST (Deemed to be University), Hosur Road, Karnataka, Bengaluru, 560029, India Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Conference Papers Conference Paper Faculty Publications- Conference Papers Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Earlier Stage Identification of Bone Cancer with Regularized ELM Subject The topic of the resource Canny Edge Detection; Improved Harris Corner Detection; Regularized Extreme Learning Machine (RELM) Description An account of the resource A major focus of current research in the field of image processing is the application of such methods to the field of medical imaging. While dealing with biological issues like fractures, canoers, ulcers, etc., image processing facilitated pinpointing the precise cause and tailoring a remedy. In the field of tumor identification, medical imaging has set a new standard by overcoming a number of challenges. Medical imaging is the practice of generating images of the human body for diagnostic or exploratory purposes. Because of its high image quality, MRI is the method of choice for detecting tumors. This research study proposes the integration of RLM to detect tumors and presents an automatic bone cancer detection system to assist oncologists in making early diagnosis of bone malignancies, which in turn allows patients to receive treatment as soon as possible. This research work also proposes to detect bone tumors by using a combination of the RELM based M3 filtering, Canny Edge segmentation, and the Enhanced Harris corner approach. When compared to other models like CNN, ELM, and RNN, the suggested technique achieves an accuracy of around 97.55%. 2023 IEEE. Creator An entity primarily responsible for making the resource Murugesan S.; Sharma N.; Jayalakshmi N.; Pant K.; Chauhan A.; Acharjee P.B. Source A related resource from which the described resource is derived Proceedings of the 7th International Conference on Intelligent Computing and Control Systems, ICICCS 2023, pp. 1849-1854. Publisher An entity responsible for making the resource available Institute of Electrical and Electronics Engineers Inc. Date A point or period of time associated with an event in the lifecycle of the resource 2023-01-01 Identifier An unambiguous reference to the resource within a given context <a href="https://doi.org/10.1109/ICICCS56967.2023.10142670" target="_blank" rel="noreferrer noopener">https://doi.org/10.1109/ICICCS56967.2023.10142670</a> <a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85163833300&doi=10.1109%2FICICCS56967.2023.10142670&partnerID=40&md5=a3f783e2dac007237fe41c784bf6838c" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85163833300&doi=10.1109%2fICICCS56967.2023.10142670&partnerID=40&md5=a3f783e2dac007237fe41c784bf6838c</a> Rights Information about rights held in and over the resource Restricted Access Relation A related resource ISBN: 979-835039725-3 Format The file format, physical medium, or dimensions of the resource Online Language A language of the resource English Type The nature or genre of the resource Conference paper Coverage The spatial or temporal topic of the resource, the spatial applicability of the resource, or the jurisdiction under which the resource is relevant Murugesan S., R.M.D Engineering College, Kavaraipettai, Tamilnadu, Tiruvallur, India; Sharma N., Lovely Professional University, Department of Physical Education, Punjab, India; Jayalakshmi N., PSNA College of Engineering and Technology, Tamilnadu, Dindigul, India; Pant K., Graphic Era Deemed to Be University, Department of Biotechnology, Uttrakhand, Dehradun, India; Chauhan A., CHRIST (Deemed to Be University), Department of Life Sciences, Karnataka, Bengaluru, India; Acharjee P.B., CHRIST University, Computer Science, Maharashtra, Pune, India