61 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 Assessing Academic Performance Using Ensemble Machine Learning Models Subject The topic of the resource Academic Assessment; Ensemble Model; Forecasting; Machine Learning; Prediction Description An account of the resource Artificial Intelligence (AI) shall play a vital role in forecasting and predicting the academic performance of students. Societal factors such as family size, education and occupation of parents, and students' health, along with the details of their behavioral absenteeism are used as independent variables for the analysis. To perform this study, a standardized dataset is used with data instances of 1044 entries and a total of 33 unique variables constituting the feature matrix. Machine learning (ML) algorithms such as Support Vector Machine (SVM), Random Forest (RF), Multilayer Perceptron (MLP), LightGBM, and Ensemble Stacking (ES) are used to assess the specified dataset. Finally, an ES model is developed and used for assessment. Comparatively, the ES model outclassed other ML models with a test accuracy of 99.3%. Apart from accuracy, other parameters of metrics are used to evaluate the performance of the algorithms. 2023 IEEE. Creator An entity primarily responsible for making the resource Siva Balan R.V.; Senthilnathan T.; Gobinath R.; Gondkar R.R. Source A related resource from which the described resource is derived Proceedings of the International Conference on Circuit Power and Computing Technologies, ICCPCT 2023, pp. 917-924. 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/ICCPCT58313.2023.10245216" target="_blank" rel="noreferrer noopener">https://doi.org/10.1109/ICCPCT58313.2023.10245216</a> <a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85173863491&doi=10.1109%2FICCPCT58313.2023.10245216&partnerID=40&md5=6bff54ba6ce7ab745bfd0818fb1d2254" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85173863491&doi=10.1109%2fICCPCT58313.2023.10245216&partnerID=40&md5=6bff54ba6ce7ab745bfd0818fb1d2254</a> Rights Information about rights held in and over the resource Restricted Access Relation A related resource ISBN: 979-835033324-4 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 Siva Balan R.V., CHRIST (Deemed-to-be University), Department of Computer Science, Karnataka, Bangalore, India; Senthilnathan T., CHRIST (Deemed-to-be University), Department of Computer Science, Karnataka, Bangalore, India; Gobinath R., CHRIST (Deemed-to-be University), Department of Computer Science, Karnataka, Bangalore, India; Gondkar R.R., CHRIST (Deemed-to-be University), Department of Computer Science, 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 User Sentiment Analysis of Blockchain-Enabled Peer-to-Peer Energy Trading Subject The topic of the resource Blockchain; Latent Dirichlet Allocation; Peer-to-Peer energy trading; Sentiment analysis Description An account of the resource A new way for the general public to consume and trade green energy has emerged with the introduction of peer-to-peer (P2P) energy trading platforms. Thus, how the peer-to-peer energy trading platform is designed is crucial to facilitating the trading experience for users. The data mining method will be used in this study to assess the elements affecting the P2P energy trading experience. The Natural Language Processing (NLP) approach will also be used in this study to evaluate the variables that affect the P2P energy trading experience and look at the role of topic modeling in the topic extraction using LDA. The findings show that the general public was more interested in the new technology and how the energy coin payment system operated during the trade process. This explanation of energy as a CC is an outlier that fits well with the conventional literature. The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2023. Creator An entity primarily responsible for making the resource Jain P.; Saxena A.; Mahajan J.; Sing V.P. Source A related resource from which the described resource is derived Lecture Notes in Networks and Systems, Vol-726 LNNS, pp. 791-800. 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/10.1007/978-981-99-3716-5_63" target="_blank" rel="noreferrer noopener">https://doi.org/10.1007/978-981-99-3716-5_63</a> <a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85174448035&doi=10.1007%2F978-981-99-3716-5_63&partnerID=40&md5=890b6eb8176eb5926e49e0e3f4851e1d" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85174448035&doi=10.1007%2f978-981-99-3716-5_63&partnerID=40&md5=890b6eb8176eb5926e49e0e3f4851e1d</a> Rights Information about rights held in and over the resource Restricted Access Relation A related resource ISSN: 23673370; ISBN: 978-981993715-8 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 Jain P., Christ University, Pune, India; Saxena A., Christ University, Pune, India; Mahajan J., Christ University, Pune, India; Sing V.P., Energy Exemplar, Pune, 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 Probing the Role of Information and Communication Technology (ICT) in Enhancing Research: An Epilogue of Accessible Research Tools Subject The topic of the resource Database tool; ICT; Literature review tool; Research; Search engine; Tools Description An account of the resource Information and Communication Technology (ICT) has revolutionized the way researchers conduct their work. It has enabled them to access a wealth of information through online databases, collaborate with colleagues across the globe, and analyze vast amounts of data quickly and accurately. This paper explores the role of ICT in enhancing research tools, highlighting the benefits it provides to researchers in terms of increased efficiency, improved accuracy, and greater access to resources. It also discusses some of the challenges associated with using ICT in research, such as data security and privacy concerns, and offers potential solutions. Overall, the paper concludes that ICT is an essential tool for researchers and will continue to play an increasingly important role in advancing scientific knowledge and innovation. The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd 2023. Creator An entity primarily responsible for making the resource Vinay M.; Jayapriya J. Source A related resource from which the described resource is derived Lecture Notes in Networks and Systems, Vol-754 LNNS, pp. 519-526. 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/10.1007/978-981-99-4932-8_47" target="_blank" rel="noreferrer noopener">https://doi.org/10.1007/978-981-99-4932-8_47</a> <a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85174444105&doi=10.1007%2F978-981-99-4932-8_47&partnerID=40&md5=3665636f6babafb835ff4a347e8d7fa4" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85174444105&doi=10.1007%2f978-981-99-4932-8_47&partnerID=40&md5=3665636f6babafb835ff4a347e8d7fa4</a> Rights Information about rights held in and over the resource Restricted Access Relation A related resource ISSN: 23673370; ISBN: 978-981994931-1 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 Vinay M., Christ University, Karnataka, Bangalore, India; Jayapriya J., Christ University, 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 A Scoping review of Deep Reinforcement Learning methods in Visual Navigation Subject The topic of the resource Artificial Intelligence; Deep Learning; Neural Network; Reinforcement Learning Description An account of the resource Reinforcement Learning (RL) is a subset of Machine Learning that trains an agent to make a series of decisions and take action by interacting directly with the environment. In this approach, the agent learns to attain the goal by the response from its action as rewards or punishment. Recent advances in reinforcement learning combined with deep learning methods have led to breakthrough research in solving many complex problems in the field of Artificial Intelligence. This paper presents recent literature on autonomous visual navigation of robots using Deep Reinforcement Learning (DRL) algorithms and methods. It also describes the algorithms evaluated, the environment used for implementation, and the policy applied to maximize the rewards earned by the agent. The paper concludes with a discussion of the new models created by various authors, their merits over the existing methods, and a briefing on further research. 2023 IEEE. Creator An entity primarily responsible for making the resource Dafni Rose J.; Suganthi J.; Prabhakarran V.S.; Muthumari S. Source A related resource from which the described resource is derived Proceedings of IEEE InC4 2023 - 2023 IEEE International Conference on Contemporary Computing and Communications 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/InC457730.2023.10263189" target="_blank" rel="noreferrer noopener">https://doi.org/10.1109/InC457730.2023.10263189</a> <a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85174703860&doi=10.1109%2FInC457730.2023.10263189&partnerID=40&md5=f8489719b039808781cf0c5fa405cc82" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85174703860&doi=10.1109%2fInC457730.2023.10263189&partnerID=40&md5=f8489719b039808781cf0c5fa405cc82</a> Rights Information about rights held in and over the resource Restricted Access Relation A related resource ISBN: 979-835033577-4 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 Dafni Rose J., Computer Science and Engineering St. Joseph's Institute of Technology, Chennai, India; Suganthi J., Christ (Deemed to Be) University, School of Sciences, Bengaluru, India; Prabhakarran V.S., K.R.College of Arts and Science, Department of Computer Science, Kovilpatti, India; Muthumari S., S.S.Duraisamy Nadar Mariammal College, Department of CS and IT, Kovilpatti, 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 Compendium of Qubit Technologies inQuantum Computing Subject The topic of the resource Charge-phase qubits; Dots and donors; NMR; Photonic qubits; Quantum computing; Qubit; Solid-state qubits; Topology; Trapped ion Description An account of the resource Quantum computing is information processing based on the principles of quantum mechanics. Qubits are at the core of quantum computing. A qubit is a quantum state where information can be encoded, processed, and readout. Any particle, sub-particle, or quasi-particle having a quantum phenomenon is a possible qubit candidate. Ascendancy in algorithms and coding demands knowledge of the specificities of the inherent hardware. This paper envisages qubits from an information processing perspective and analyses core qubit technologies. 2023, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. Creator An entity primarily responsible for making the resource Sebastian E.; Poonia R.C. Source A related resource from which the described resource is derived Lecture Notes in Networks and Systems, Vol-686 LNNS, pp. 91-100. 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/10.1007/978-981-99-2100-3_8" target="_blank" rel="noreferrer noopener">https://doi.org/10.1007/978-981-99-2100-3_8</a> <a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85172231552&doi=10.1007%2F978-981-99-2100-3_8&partnerID=40&md5=091b8c21d9ee5b6c775154f4904f2823" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85172231552&doi=10.1007%2f978-981-99-2100-3_8&partnerID=40&md5=091b8c21d9ee5b6c775154f4904f2823</a> Rights Information about rights held in and over the resource Restricted Access Relation A related resource ISSN: 23673370; ISBN: 978-981992099-0 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 Sebastian E., Department of Computer Science, Assumption College, Kerala, Changanassery, 686101, India; Poonia R.C., Department of Computer Science, CHRIST (Deemed to be University), Karnataka, Bangalore, 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 Fake News Detection and Classify the Category Subject The topic of the resource Artificial Intelligence Algorithm; Distillbert; Fake news; Identification; Multinomial Nae Bayes; Natural Language Processing Description An account of the resource A new type of disinformation has emerged: fake news, or untrue stories that have been presented as actual occurrences. We can no longer tell whether the information is true from fraudulent since so much information is published on social media these days. Artificial intelligence algorithms are helpful in resolving the fake news identification issue. In the field of natural language processing, fake news identification is a crucial yet difficult issue (NLP). In this article, we discuss similar duties as well as the difficulties associated with finding bogus news. Based on these findings, we suggest intriguing avenues for future study, such as developing more accurate, thorough, fair, and useful detection models. The average public's life is impacted by mass media since it happens regularly. Because of this, news stories are written that are somewhat true or even entirely untrue. Using online social networking sites, people deliberately promote these fake goods. It is crucial to decide whether the news is false owing to its potential to have detrimental social and national effects. The false news identification process made use of many criteria, including the headline and body content of the news piece. The suggested method works effectively in terms of producing results with excellent accuracy, precision, and memory. Comparing all the models employed in this study, it was discovered that Distillbert and multinomial nae bayes models perform better than Logistic and others ml models. The credibility of the story may be evaluated using a larger dataset for better results and additional variables like the author and publisher of the news. Grenze Scientific Society, 2023. Creator An entity primarily responsible for making the resource Mitra P.; Jacob L. Source A related resource from which the described resource is derived 14th International Conference on Advances in Computing, Control, and Telecommunication Technologies, ACT 2023, Vol-2023-June, pp. 2053-2065. Publisher An entity responsible for making the resource available Grenze Scientific Society 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="" target="_blank" rel="noreferrer noopener"></a> <a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85174225258&partnerID=40&md5=b7a6298ff981f1c0b761da29a55e9bc7" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85174225258&partnerID=40&md5=b7a6298ff981f1c0b761da29a55e9bc7</a> Rights Information about rights held in and over the resource Restricted Access Relation A related resource 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 Mitra P., Department of Data Science, Christ University, Pune, Lavasa Campus, Pune, India; Jacob L., Department of Data Science, Christ University, Pune, Lavasa Campus, Pune, 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 Brain Tumor Detection using Hyper Parameter Tuning and Transfer Learning Subject The topic of the resource Brain Tumor; Deep Learning; EffcientNetB7; EfficientNetV2; MobileNetv3 Description An account of the resource Brain Tumor is the development of abnormal cells in our brain. There are cancerous and noncancerous brain tumors. Because they can press against healthy brain tissue or spread there, brain tumors are harmful. The early diagnosis of brain tumors is a highly challenging assignment for radiologists. The typical size of a brain tumor doubles in just twenty-five days due to its rapid growth. If not properly cared for, the patient's survival rate typically does not exceed six months. It may quickly result in death. For the purpose of early brain tumor identification, an automatic method is necessary. In this study, an automated strategy is suggested for quickly distinguishing between malignant and non-cancerous brain images. Most of the time, it can be treated if caught during the early stages. Hence the need for more and improved brain tumor detection. The most crucial part here is image processing. The medical images obtained during the test have to be appropriately analysed. Various methods such as MobileNet, EfficientNetB7, and EfficientNetV2 have been used and their efficiency has been analysed. Here we classify the dataset containing 300 images into two. The suggested system will offer improved clinical support for the field of medicine. 2023 IEEE. Creator An entity primarily responsible for making the resource Nasar N.; Thiruthuvanathan M.M.; Pauls A. Source A related resource from which the described resource is derived Proceedings of IEEE InC4 2023 - 2023 IEEE International Conference on Contemporary Computing and Communications 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/InC457730.2023.10263136" target="_blank" rel="noreferrer noopener">https://doi.org/10.1109/InC457730.2023.10263136</a> <a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85174682639&doi=10.1109%2FInC457730.2023.10263136&partnerID=40&md5=5e8f5d005c0187582e071558fdd04608" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85174682639&doi=10.1109%2fInC457730.2023.10263136&partnerID=40&md5=5e8f5d005c0187582e071558fdd04608</a> Rights Information about rights held in and over the resource Restricted Access Relation A related resource ISBN: 979-835033577-4 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 Nasar N., CHRIST(Deemed to Be University), Computer Science and Engineering, Bengaluru, India; Thiruthuvanathan M.M., CHRIST(Deemed to Be University), Computer Science and Engineering, Bengaluru, India; Pauls A., CHRIST(Deemed to Be University), Computer Science and Engineering, 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 Artificial Intelligence and Deep Learning Based Brain Tumor Detection Using Image Processing Subject The topic of the resource Artificial Intelligence; Brain Tumor; Convolutional Neural Network; Deep Learning; MRI (Magnetic Resonance Imaging) Scanning; Support Vector Machine Description An account of the resource In the field of medical science, applications that are particularly used for diagnostic purposes, are used in the detection of brain tumors since detecting an error in MRI scanning is becoming a major task for radiologists and requires a lot of their focus. Flaws that are prevalent during tumor detection must be taken care of to avoid further complications. MRI scanning is one of the most recently developing technologies. The radiologist is a key player in the identification of the brain tumor. Radiologists have to check every image perfectly to avoid the errors in identifying the brain tumor. There is a probability that sometimes cerebral fluid may also appear as mass tissue during the MRI scan. The model that is proposed in this research uses a machine learning algorithm which helps to improve the validity of the classification of the images that are taken in MRI scans. The study focuses on having an automated system that carries out an essential role in determining whether a lump is present in the brain or not. The study tries to resolve the primary flaws in detection necessary to evade further complications in MRI images in brain detection. The main aim of this study is to train the algorithm in a more extensive dataset and to check the patient-level validity with the help of various new datasets. 2023 IEEE. Creator An entity primarily responsible for making the resource Rajesh S.M.; Chiranmai I.; Jayapandian N. Source A related resource from which the described resource is derived Proceedings of the 5th International Conference on Inventive Research in Computing Applications, ICIRCA 2023, pp. 244-248. 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/ICIRCA57980.2023.10220659" target="_blank" rel="noreferrer noopener">https://doi.org/10.1109/ICIRCA57980.2023.10220659</a> <a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85172182485&doi=10.1109%2FICIRCA57980.2023.10220659&partnerID=40&md5=dffe8b0fde9c34a36994a6eb4d78ac96" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85172182485&doi=10.1109%2fICIRCA57980.2023.10220659&partnerID=40&md5=dffe8b0fde9c34a36994a6eb4d78ac96</a> Rights Information about rights held in and over the resource Restricted Access Relation A related resource ISBN: 979-835032142-5 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 Rajesh S.M., Christ (Deemed to Be University), Department of Cse, India; Chiranmai I., Christ (Deemed to Be University), Department of Cse, India; Jayapandian N., Christ (Deemed to Be University), Department of Cse, 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 Automatic Weld Features Identification and Weld Quality Improvement in Laser Sensor Integrated Robotic Arc Welding Subject The topic of the resource Laser sensor; Positional accuracy; Robotic arc welding; Weld seam Description An account of the resource In this study, an integration of point laser sensor in robotic arc welding has been performed for achieving robotic positional accuracy automatically in every welding cycle. With the help of defined focal length of laser sensor, weld seam positions as well as weld gap have been found automatically for any newly positioned work-piece. If there is any change in robot positioning compared to the master job, the shift in every axis is sent as signal to the robot controller so that robot end effector will adjust the shift amount automatically. The welding process parameters are set at optimal values. Taguchi approach so that maximum values of weld quality in terms of depth of penetration, yield strength and ultimate strength can be achieved in every welding cycle. Overall, with the proposed approach, a smart and productive way of operating industrial welding robot has been proposed which can be implemented in any medium to large scale industries for obtaining welding joints with minimum defects. 2023, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. Creator An entity primarily responsible for making the resource Rout A.; Mahanta G.B.; Deepak B.; Renin Francy T. Source A related resource from which the described resource is derived Lecture Notes in Mechanical Engineering, pp. 303-313. 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/10.1007/978-981-99-2349-6_28" target="_blank" rel="noreferrer noopener">https://doi.org/10.1007/978-981-99-2349-6_28</a> <a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85172270483&doi=10.1007%2F978-981-99-2349-6_28&partnerID=40&md5=cc70040fbcf74ba8440e93a50a37f650" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85172270483&doi=10.1007%2f978-981-99-2349-6_28&partnerID=40&md5=cc70040fbcf74ba8440e93a50a37f650</a> Rights Information about rights held in and over the resource Restricted Access Relation A related resource ISSN: 21954356; ISBN: 978-981992348-9 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 Rout A., CHRIST (Deemed to be University), Bangalore, India; Mahanta G.B., Amrita Viswa Vidyapeetham, Chennai Campus, India; Deepak B., National Institute of Technology, Rourkela, India; Renin Francy T., 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 Deploying NLP techniques in Twitch application to comprehend online user behaviour Subject The topic of the resource livestream; sentiment analysis; twitter; user behavior; visualization Description An account of the resource Sentiment analysis of emotion entails identifying and analyzing subjective information from language, such as views and attitudes, and helps to improve data visualization by employing a variety of strategies, tactics, and tools. New media channels have significantly changed how people interact, exchange ideas, and share information. Numerous businesses have begun to mine this data, concentrating on social media since it is a popular platform for customers to voice their ideas about various brands or goods and because it gives users an audience, enhancing the visibility and potential effect of this input. So far, as the internet expands and modern technology advances, new avenues have emerged with a higher ability to offer businesses pertinent feedback on their goods. The goal of this study is to investigate the many forms of online behaviour by analyzing chat interactions from the well-known streaming service Twitch. Emotes were occasionally employed in place of letters, to get attention, or to communicate emotions. We propose a system that may take in chat logs from a certain stream, use a sentiment analysis algorithm to classify each message, and then display the data in a way that might permit users to analyze the results according to its polarity (positive message, negative message, or neutral message). This application must be sufficiently versatile to be used with any platform broadcast type and to handle the datasets at very huge level. 2023 IEEE. Creator An entity primarily responsible for making the resource Sethurajan M.R.; Natarajan K. Source A related resource from which the described resource is derived Proceedings of IEEE InC4 2023 - 2023 IEEE International Conference on Contemporary Computing and Communications 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/InC457730.2023.10263085" target="_blank" rel="noreferrer noopener">https://doi.org/10.1109/InC457730.2023.10263085</a> <a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85174691433&doi=10.1109%2FInC457730.2023.10263085&partnerID=40&md5=aac08c3dc04b975e52550bb0efe08eba" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85174691433&doi=10.1109%2fInC457730.2023.10263085&partnerID=40&md5=aac08c3dc04b975e52550bb0efe08eba</a> Rights Information about rights held in and over the resource Restricted Access Relation A related resource ISBN: 979-835033577-4 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 Sethurajan M.R., CHRIST (Deemed to Be University), Dept. of Computer Science and Engineering, Bangalore, India; Natarajan K., CHRIST (Deemed to Be University), Dept. of Computer Science and Engineering, 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 Intelligent Course Recommendation for Higher Education based on Learner Proficiency Subject The topic of the resource Artificial Intelligence; Course recommendation; framework; Higher education Guide; Robotic System Description An account of the resource A course recommendation provides valuable guidance and support to learners navigating their educational and career journeys. Artificial Intelligence paves the way for recommending higher education courses. In this article, a framework is proposed that uses different features like learners' interest, their past performance and mainly their family talent history. This framework emphasizes the Intelligence Robotic Course Recommendation System. The system is very helpful for the learner who don't have that much of an explorer of the current trends happening in the world. When the learners similarity knowledge interest is known with respect to real-world needs, the perfect higher education is suggested for them. This paper shows that the framework gives better results when using with artificial intelligence algorithms. 2023 IEEE. Creator An entity primarily responsible for making the resource Vinay M.; Jayapriya J. Source A related resource from which the described resource is derived 2023 International Conference on Computer, Electronics and Electrical Engineering and their Applications, IC2E3 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/IC2E357697.2023.10262655" target="_blank" rel="noreferrer noopener">https://doi.org/10.1109/IC2E357697.2023.10262655</a> <a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85174497421&doi=10.1109%2FIC2E357697.2023.10262655&partnerID=40&md5=a1f7e5aae0d3ca1a1a7fb3a6bd8f2014" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85174497421&doi=10.1109%2fIC2E357697.2023.10262655&partnerID=40&md5=a1f7e5aae0d3ca1a1a7fb3a6bd8f2014</a> Rights Information about rights held in and over the resource Restricted Access Relation A related resource ISBN: 979-835033800-3 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 Vinay M., Christ (Deemed to Be University), Department of Computer Science, Karnataka, Bangalore, India; Jayapriya J., Christ (Deemed to Be University), Department of Computer Science, 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 Sustainability Indicators and Ten Smart Cities Review Subject The topic of the resource AI (Artificial intelligence); Geospatial Technology; IOT; Smart City; Sustainable Description An account of the resource The motivation of smart cities is to improve the standard of living of citizens and enhance the use of technology in sustainable city services. A city's sustainability can be measured using various sets of smart indicators. This study will analyse urban sustainability indicators as a research problem for ten smart cities. The review of smart cities will focus on the Internet of things (IoT), Mobile devices, and Artificial intelligence technologies (Sensors in street lights, smart homes) that help our citizens transform from rural to urban areas towards sustainability. This research uses a qualitative framework for the taxonomy of the literature for the terms 'smart city' and 'sustainability' Further, the characteristics, critical technology, and IOT application for mobility are elaborated upon. Finally, we discuss ten smart city review proposals reports, based on their sustainability indicators around the world. Concluding and Future studies could focus on using sustainable indicators for developing smart cities in India. 2023 IEEE. Creator An entity primarily responsible for making the resource Sao A.; Gupta J. Source A related resource from which the described resource is derived Proceedings of IEEE InC4 2023 - 2023 IEEE International Conference on Contemporary Computing and Communications 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/InC457730.2023.10263236" target="_blank" rel="noreferrer noopener">https://doi.org/10.1109/InC457730.2023.10263236</a> <a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85174686374&doi=10.1109%2FInC457730.2023.10263236&partnerID=40&md5=42292e08103ca39d8b48124a35c513eb" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85174686374&doi=10.1109%2fInC457730.2023.10263236&partnerID=40&md5=42292e08103ca39d8b48124a35c513eb</a> Rights Information about rights held in and over the resource Restricted Access Relation A related resource ISBN: 979-835033577-4 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 Sao A., CHRIST (Deemed to Be University), School of Architecture, Bangalore, India; Gupta J., CHRIST (Deemed to Be University), School of Architecture, 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 LCLC Based AC-DC Single-Stage Resonant Converter with Natural Power Factor Correction Subject The topic of the resource AC-DC converters; LCLC resonant converter; Power factor correction Description An account of the resource LLC-based AC-DC resonant converters make excellent EV chargers because of their high efficiency, high power density, and soft switching properties. Efficiency is increased and the need for a larger series inductor is lowered by connecting a capacitor across the magnetising inductance of the LLC resonant architecture (LCLC configuration). Switching frequency control is commonly used to regulate the converter's output DC voltage. However, there is a significant relationship between the converter's power factor and switching frequency. As a result, any changes in load may result in a lower power factor for the converter. This paper suggests a single-stage topology based on the LCLC resonant structure. The LCLC resonant configuration ensures zero voltage switching (ZVS) of the IGBTs used in the converter. Converters have a power factor correction (PFC) stage on the front of the converter to achieve natural power factor correction. Since the PFC stage and the resonant stage are controlled by the same switches, the converter is smaller and less expensive. A bridgeless rectification method is applied in the proposed topology to reduce the number of switching devices. MATLAB/Simulink simulations are used to validate the topology. 2023 IEEE. Creator An entity primarily responsible for making the resource Hrudhya Kurian C.; Parag Jose C. Source A related resource from which the described resource is derived 2023 IEEE 3rd International Conference on Sustainable Energy and Future Electric Transportation, SeFet 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/SeFeT57834.2023.10244780" target="_blank" rel="noreferrer noopener">https://doi.org/10.1109/SeFeT57834.2023.10244780</a> <a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85173627227&doi=10.1109%2FSeFeT57834.2023.10244780&partnerID=40&md5=74f13f59b0c1986ae4dcdcb9f34096e6" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85173627227&doi=10.1109%2fSeFeT57834.2023.10244780&partnerID=40&md5=74f13f59b0c1986ae4dcdcb9f34096e6</a> Rights Information about rights held in and over the resource Restricted Access Relation A related resource ISBN: 979-835031997-2 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 Hrudhya Kurian C., Christ (Deemed to Be University), Eee Dept., Bangalore, India; Parag Jose C., Christ (Deemed to Be University), Eee Dept., 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 Twitter Sentiment Analysis using Machine Learning Techniques: A Case Study of ChatGPT Subject The topic of the resource chatGPT; NLP and ML Techniques); Sentiment analysis; Twitter Data Analysis Description An account of the resource ChatGPT is a powerful AI bot developed by OpenAI. This technology has the potential to generate a humanlike response. ChatGPT is a pre-trained system capable of generating chat and understanding human speech. This paper identified the responses of ChatGPT users through related tweets with the help of natural language processing and machine learning techniques. This paper uses textBlob, VADER and human annotation to find the sentiment of each tweet; countvectorizer is used for feature extraction and different machine learning algorithms to classify them into different classes. LeXmo is used to identify the various sentiment analyses, and it is observed that positive and trust emotions are higher than other sentiments. SVM with 10-fold cross-validation shows better results than other techniques. 2023 IEEE. Creator An entity primarily responsible for making the resource Kumari R.; Kumar S. Source A related resource from which the described resource is derived Proceedings of IEEE InC4 2023 - 2023 IEEE International Conference on Contemporary Computing and Communications 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/InC457730.2023.10262961" target="_blank" rel="noreferrer noopener">https://doi.org/10.1109/InC457730.2023.10262961</a> <a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85174706225&doi=10.1109%2FInC457730.2023.10262961&partnerID=40&md5=fb0c26950ae77605c354ecf080a9f81d" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85174706225&doi=10.1109%2fInC457730.2023.10262961&partnerID=40&md5=fb0c26950ae77605c354ecf080a9f81d</a> Rights Information about rights held in and over the resource Restricted Access Relation A related resource ISBN: 979-835033577-4 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 Kumari R., (IFHE) University, ICFAI Business School (IBS) Bangalore Off-Campus Center of ICFAI Foundation for Higher Education, Bangalore, India; Kumar S., CHRIST (Deemed to Be University), Department of Computer Science and Engineering, 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 Log-Base2 of Gaussian Kernel for Nuclei Segmentation from Colorectal Cancer H and E-Stained Histopathology Images Subject The topic of the resource Canny edge detection; Gaussian filter; Histopathology Images; Laplacian of Gaussian (LoG); Logarithm Base-2 of Gaussian (Log-Base2-G) Kernel; Nuclei Segmentation Description An account of the resource Nuclei Segmentation is a very essential and intermediate step for automatic cancer detection from H and E stained histopathology images. In the recent advent, the rise of Convolutional Neural Network (CNN), has enabled researchers to detect nuclei automatically from histopathology images with higher accuracy. However, the performance of automatic nuclei segmentation by CNN is fraught with overfitting, due to very less number of annotated segmented images available. Indeed, we find that the problem of nuclei segmentation is an unsupervised problem, because still now there is no automatic tool available which can make annotated images (nuclei segmented images) accurately, to the best of our knowledge. In this research article, we present a Logarithmic-Base2 of Gaussian (Log-Base2-G) Kernel which has the ability to track only the nuclei portions automatically from Colorectal Cancer H and E stained histopathology images. First, Log-Base2-G Kernel is applied to the input images. Thereafter, we apply an adaptive Canny Edge detector, in order to segment only the nuclei edges from H and E stained histopathology images. Experimental results revealed that our proposed method achieved higher accuracy and F1 score, without the help of any annotated data which is a significant improvement. We have used two different datasets (Con-SeP dataset, and Glass-contest dataset, both contains Colorectal Cancer histopathology images) to check the effectiveness and validity of our proposed method. These results have shown that our proposed method outperformed other image processing or unsupervised methods both qualitatively and quantitatively. 2023 SPIE. Creator An entity primarily responsible for making the resource Roy S.; Khurana R.; Jain V. Source A related resource from which the described resource is derived Proceedings of SPIE - The International Society for Optical Engineering, Vol-12701 Publisher An entity responsible for making the resource available SPIE 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/10.1117/12.2679250" target="_blank" rel="noreferrer noopener">https://doi.org/10.1117/12.2679250</a> <a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85172915740&doi=10.1117%2F12.2679250&partnerID=40&md5=fdaaf59ef50507eb4cfe77cfb8821833" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85172915740&doi=10.1117%2f12.2679250&partnerID=40&md5=fdaaf59ef50507eb4cfe77cfb8821833</a> Rights Information about rights held in and over the resource Restricted Access Relation A related resource ISSN: 0277786X; ISBN: 978-151066618-4; CODEN: PSISD 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 S., School of Engineering and Technology, Christ (Deemed to be University), Bangalore, India; Khurana R., Department of Computer Science and Engineering, Bharati Vidyapeeths College of Engineering, New Delhi, India; Jain V., School of Computer Science, Engineering and Technology, Bennett University, Greater Noida, 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 Cryptocurrencies: An Epitome of Technological Populism Subject The topic of the resource Bitcoin; Blockchain; Cryptocurrency; Populist; Volatility Description An account of the resource From a global perspective, which holds significant cryptocurrencies, this study discusses the volatility and spillover effect between the whales cryptocurrencies. Volatility in cryptocurrency markets has always been a time-varying concept that changes over time. As opposed to the stock market, which has historically and recently, the cryptocurrency market is much more volatile. The markets have evidenced many fluctuations in the prices of cryptos. As a result, countries are transforming their policies to suit financial technologies in their economic practices. Blockchain technology allows people to obtain more benefits in a financial transaction and breaks hurdles in the financial system. The study has found no ARCH effect in BinanceCoin, BT Cash, Bitcoin, Vechain, and Zcash. It is discovered that there is an ARCH effect in the case of Ethereum, Tether, Tezos, and XRP. Whale cryptocurrencies have an ARCH effect. Daily closing prices of ten cryptocurrencies, including bitcoin, from January 1, 2019, to December 31, 2020, to determine the price volatility where the bitcoin whales hold significant cryptocurrency values. It has given significant results in case of volatility since we also found that Bitcoin's largest cryptocurrencies among the sample taken for the study have less volatility than other currencies. 2023, The Author(s), under exclusive license to Springer Nature Switzerland AG. Creator An entity primarily responsible for making the resource Arumugam S.K.; Dhaku C.R.; Toms B. Source A related resource from which the described resource is derived Lecture Notes in Networks and Systems, Vol-717 LNNS, pp. 477-486. 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/10.1007/978-3-031-35510-3_45" target="_blank" rel="noreferrer noopener">https://doi.org/10.1007/978-3-031-35510-3_45</a> <a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85173568201&doi=10.1007%2F978-3-031-35510-3_45&partnerID=40&md5=89f039cf60b3535e46887dc881931d0d" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85173568201&doi=10.1007%2f978-3-031-35510-3_45&partnerID=40&md5=89f039cf60b3535e46887dc881931d0d</a> Rights Information about rights held in and over the resource Restricted Access Relation A related resource ISSN: 23673370; ISBN: 978-303135509-7 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 Arumugam S.K., Department of Professional Studies, CHRIST (Deemed to be University), Karnataka, Bangalore, India; Dhaku C.R., School of Commerce, Finance and Accountancy, CHRIST (Deemed to be University), Karnataka, Bangalore, India; Toms B., School of Commerce, Finance and Accountancy, CHRIST (Deemed to be University), 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 Non-Contact Vital Prediction Using rPPG Signals Subject The topic of the resource Convolutional neural networks; Deep learning; Facial expression recognition; Machine learning; Remote photoplethysmography Description An account of the resource In this paper, we present the clinical significance of various cardiac symptoms with the use of heart rate detection, ongoing monitoring and present emotions. The development of algorithms for remote photoplethysmography has drawn a lot of interest during the past decade (rPPG). As a result, using data gathered from the video feed, we can now precisely follow the heart rate of individuals who are still seated. rPPG algorithms have also been developed, in addition to technique based on hand-crafted characteristics. Deep learning techniques often need a lot of data to train on, but biomedical data frequently lacks real-world examples. The experiment described in this work, we looked at how illumination affected the rPPG signals' SNR. The findings show that the SNR in each RGB channel varies depending on the colour of the light source. Paper describes development in video filtering for recognising the comprehending human face emotions. In our method, emotions are deduced by identifying facial landmarks and analysing their placement. 2023 IEEE. Creator An entity primarily responsible for making the resource Madhu M.; Gurudas V.R.; Manjunath C.; Naik P.; Kulkarni P. Source A related resource from which the described resource is derived Proceedings of IEEE InC4 2023 - 2023 IEEE International Conference on Contemporary Computing and Communications 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/InC457730.2023.10263027" target="_blank" rel="noreferrer noopener">https://doi.org/10.1109/InC457730.2023.10263027</a> <a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85174676842&doi=10.1109%2FInC457730.2023.10263027&partnerID=40&md5=1cce7af802d499de9ed7ebf73fb153f7" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85174676842&doi=10.1109%2fInC457730.2023.10263027&partnerID=40&md5=1cce7af802d499de9ed7ebf73fb153f7</a> Rights Information about rights held in and over the resource Restricted Access Relation A related resource ISBN: 979-835033577-4 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 Madhu M., CHRIST(Deemed to Be University), School of Engineering and Technology, Department of Computer Science and Engineering, Bangalore, India; Gurudas V.R., CHRIST(Deemed to Be University), School of Engineering and Technology, Department of Computer Science and Engineering, Bangalore, India; Manjunath C., CHRIST(Deemed to Be University), School of Engineering and Technology, Department of Computer Science and Engineering, Bangalore, India; Naik P.; Kulkarni P., Dayananda Sagar University, Department of Computer Science and Engineering, 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 Contemplate Paradigm on Diabetes Mellitus using different Machine Learning Predictive Techniques Subject The topic of the resource data set; Diabetes Mellitus; Machine Learning; Supervised; support vector machine; Unsupervised Description An account of the resource As the foodies love fast food, from micro to combined families across the world the ratio of family members 1:4 is affected with silent killer named as diabetes. A very high blood glucose levels, metabolism, improper carbohydrate, damaged hormone insulin alleviating a human body disability leading to the silent killer of the body parts is the diabetes. An estimated 425 million of people around the globe suffering with diabetes up to 108 million to 1.7 trillion will be affected with diabetes. Therefore millennium, the universe ubiquity suffering with diabetes has next to quadrupled, growing from 9 percent and above among the people. As the eating habits of people in this trendy 21st century is dramatically devastating to the risk of overweight or obese. The silent killer diabetes consequences include kidney failure, Diabetic retinopathy, Heart attack, Stiffness of body muscles, Nerves stroke and lower limb amputation leads to type I and type II diabetes. As the researchers across the globe are using the machine learning algorithms as the reliable problem solver, The complications still continue. The purpose of this percu is to help with the apt selection of features garnishing with machine learning paradigm techniques in selecting the accurate attributes for each person to be properly diagnosed. In this archetype survey paper, we have done a systematic review chronologically a decade research which will help the researchers to explore and get the contemplate on various tangible and intangible data sets they can adopt in diagnosing the mellitus diabetes. Grenze Scientific Society, 2023. Creator An entity primarily responsible for making the resource Padmaja K.; Mukhopadhyay D. Source A related resource from which the described resource is derived 14th International Conference on Advances in Computing, Control, and Telecommunication Technologies, ACT 2023, Vol-2023-June, pp. 1768-1775. Publisher An entity responsible for making the resource available Grenze Scientific Society 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="" target="_blank" rel="noreferrer noopener"></a> <a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85174401839&partnerID=40&md5=1d81b6aed8b44e953177760b4ca071bb" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85174401839&partnerID=40&md5=1d81b6aed8b44e953177760b4ca071bb</a> Rights Information about rights held in and over the resource Restricted Access Relation A related resource 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 Padmaja K., CHRIST (Deemed to be University), Department of CSE, Bangalore, India; Mukhopadhyay D., CHRIST (Deemed to be 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 Pertaining analysis of fracture risk in Osteoporotic patients using Machine Learning Techniques Subject The topic of the resource Classify; Detect; Fracture Risk; Machine Learning; Osteoporosis; Predict Description An account of the resource Bone fractures in the spine or hip are the most severe complications of Osteoporosis. Older subjects with Osteoporosis are vulnerable to falls. This paper aims to review the breakthrough in machine learning methods over the past four years in assessing fracture risk in osteoporotic patients. Machine learning is applied in the healthcare and medical field. Machine learning professionals can accurately predict disease onset by analyzing a large amount of data. Osteoporosis is one of the healthcare domains in which new Machine learning and Artificial Intelligence techniques can be implemented. The objective of this research is to give an overview of the recent advancements in machine learning methods in finding out the risk factors for fractures or predicting the onset of disease. A systematic search was conducted in PubMed to get research papers published on Machine learning methods to detect, classify, or predict osteoporosis-related fracture risk. The articles belonging to Fracture prediction and risks (n=14), Osteoporosis classification(n=3), Diagnosis of fracture(n=3), and Predicting length of stay (n=1) were identified. The quality of the articles is assessed. Most articles described the efforts to create the model and showcased excellent results in predicting the risks. Significant limitations were in the form of inadequate data splitting and data validations. More validation studies are needed in various large groups to improve the model. Most of the participants in significant studies were in their initial stage of the disease, and the reproducibility analysis was done with major disease issues. 2023 IEEE. Creator An entity primarily responsible for making the resource Neeta T.R.; Poonia R.C. Source A related resource from which the described resource is derived Proceedings of IEEE InC4 2023 - 2023 IEEE International Conference on Contemporary Computing and Communications 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/InC457730.2023.10262867" target="_blank" rel="noreferrer noopener">https://doi.org/10.1109/InC457730.2023.10262867</a> <a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85174675097&doi=10.1109%2FInC457730.2023.10262867&partnerID=40&md5=1e84fb9f6ab8172d92d7fb6fe02ca25e" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85174675097&doi=10.1109%2fInC457730.2023.10262867&partnerID=40&md5=1e84fb9f6ab8172d92d7fb6fe02ca25e</a> Rights Information about rights held in and over the resource Restricted Access Relation A related resource ISBN: 979-835033577-4 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 Neeta T.R., CHRIST (Deemed to Be University), Department of Computer Science, Bengaluru, 560029, India; Poonia R.C., CHRIST (Deemed to Be University), Department of Computer Science, 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 Calibration of Optimal Trigonometric Probability for Asynchronous Differential Evolution Subject The topic of the resource Asynchronous differential evolution; Evolutionary algorithms; Optimization; Trigonometric mutation Description An account of the resource Parallel optimization and strong exploration are the main features of asynchronous differential evolution (ADE). The population is updated instantly in ADE by replacing the target vector if a better vector is found during the selection operation. This feature of ADE makes it different from differential evolution (DE). With this feature, ADE works asynchronously. In this work, ADE and trigonometric mutation are embedded together to raise the performance of an algorithm. The work finds out the best trigonometric probability value for asynchronous differential evolution. Two values of trigonometric mutation probability (PTMO) are tested to obtain the optimum setting of PTMO. The work presented in this paper is tested over a number of benchmark functions. The benchmark functions results are compared for two values of PTMO and discussed in detail. The proposed work outperforms the competitive algorithms. A nonparametric statistical analysis is also performed to validate the results. 2023, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. Creator An entity primarily responsible for making the resource Yadav V.; Yadav A.K.; Sharma S.; Kumar S. Source A related resource from which the described resource is derived Lecture Notes in Networks and Systems, Vol-698, pp. 807-818. 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/10.1007/978-981-99-3250-4_61" target="_blank" rel="noreferrer noopener">https://doi.org/10.1007/978-981-99-3250-4_61</a> <a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85172173095&doi=10.1007%2F978-981-99-3250-4_61&partnerID=40&md5=eed9b6556762cf8e237f5978729e4fea" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85172173095&doi=10.1007%2f978-981-99-3250-4_61&partnerID=40&md5=eed9b6556762cf8e237f5978729e4fea</a> Rights Information about rights held in and over the resource Restricted Access Relation A related resource ISSN: 23673370; ISBN: 978-981993249-8 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 Yadav V., Manipal University Jaipur, Rajasthan, Jaipur, India; Yadav A.K., ASET, Amity University Rajasthan, Rajasthan, Jaipur, India; Sharma S., Manipal University Jaipur, Rajasthan, Jaipur, India; Kumar S., Department of Computer Science and Engineering, CHRIST (Deemed to be University), Bangalore, 560074, India