447 20 11858 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 Articles Article Faculty Publications -Articles 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 Improved Security of the Data Communication in VANET Environment Using ASCII-ECC Algorithm Subject The topic of the resource American standard code for information interchange based elliptic curve cryptography (ASCII-ECC); Authentication; Cluster head (CH); Median based K-means (MKM); Modified cockroach swarm optimization (MCSO); On-board unit (OBU); Road side units (RSUs); Trusted authority (TA); Vehicular ad-hoc network (VANET) Description An account of the resource Now-a-days, with the augmenting accident statistics, the Vehicular Ad-hoc Networks (VANET) are turning out to be more popular, helping in prevention of accidents in addition to damage to the vehicles together with populace. In VANET, message can well be transmitted within a pre-stated region to attain systems safety and also improveits efficacy. Ensuring authenticity of messages is a challenge in such dynamic environment. Though few researchers worked on this, security level is very less. Hence enhanced communicationsecurity on the VANET environment utilizing the American Standard Code for Information Interchange centred Elliptic Curve Cryptography (ASCII-ECC) is proposedin this paper. The network design is definedinitially. Subsequently, the entire vehicles get registered to the Trusted Authority (TA); similarly, all vehicle users areregistered with their On-Board Unit (OBU). This is followed byMedian-centred K-Means (MKM) performs the cluster formation together with Cluster Head Selection (CHS). Next, TA takes care of the verification procedure. Modified Cockroach Swarm Optimization (MCSO) calculates the shortest path and the ASCII-ECC carries out the secure data communication if the vehicle is an authorized one. If not, TA sends the alert message for discarding the request. The system renders better performance when it was weighed against the top-notch methods. 2022, The Author(s), under exclusive licence to Springer Science+Business Media, LLC, part of Springer Nature. Creator An entity primarily responsible for making the resource Sajini S.; Anita E.A.M.; Janet J. Source A related resource from which the described resource is derived Wireless Personal Communications, Vol-128, No. 2, pp. 759-776. Publisher An entity responsible for making the resource available Springer 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/s11277-022-09974-7" target="_blank" rel="noreferrer noopener">https://doi.org/10.1007/s11277-022-09974-7</a> <a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85139456385&doi=10.1007%2Fs11277-022-09974-7&partnerID=40&md5=34bb562853d35ff9b8352ad96aebb534" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85139456385&doi=10.1007%2fs11277-022-09974-7&partnerID=40&md5=34bb562853d35ff9b8352ad96aebb534</a> Rights Information about rights held in and over the resource Restricted Access Relation A related resource ISSN: 9296212; CODEN: WPCOF 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 Article Coverage The spatial or temporal topic of the resource, the spatial applicability of the resource, or the jurisdiction under which the resource is relevant Sajini S., Anna University, Chennai, India, SRM Institute of Science and Technology, Ramapuram, India; Anita E.A.M., Department of Computer Science and Engineering, School of Engineering and Technology, Christ University, Bengaluru, India; Janet J., Department of Computer Science and Engineering, Sri Krishna College of Engineering and Technology, Coimbatore, 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 Comprehensive Review of Small Building Detection in Collapsed Images: Advancements and Applications of Machine Learning Algorithms Subject The topic of the resource Collapsed images; Machine learning; Small building detection Description An account of the resource Accurately identifying small buildings in images of collapses is essential for disaster assessment and urban planning. In the context of collapsed images, this study provides an extensive overview of the methods and approaches used for small building detection. The investigation covers developments in machine learning algorithms, their uses, and the consequences for urban development and disaster management. This work attempts to give a brief grasp of the difficulties, approaches, and potential paths in the field of small building detection from collapsed imaging through a thorough investigation of the body of existing literature. The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2024. Creator An entity primarily responsible for making the resource Sajitha I.; Sambandam R.K.; John S.P. Source A related resource from which the described resource is derived Lecture Notes in Networks and Systems, Vol-1121 LNNS, pp. 429-438. 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 2024-01-01 Identifier An unambiguous reference to the resource within a given context <a href="https://doi.org/10.1007/978-981-97-7423-4_33" target="_blank" rel="noreferrer noopener">https://doi.org/10.1007/978-981-97-7423-4_33</a> <a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85213067290&doi=10.1007%2F978-981-97-7423-4_33&partnerID=40&md5=fc032ce88e90a4bb7ea3bb935b9d0783" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85213067290&doi=10.1007%2f978-981-97-7423-4_33&partnerID=40&md5=fc032ce88e90a4bb7ea3bb935b9d0783</a> Rights Information about rights held in and over the resource Restricted Access Relation A related resource ISSN: 23673370; ISBN: 978-981977422-7 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 Sajitha I., Department of Computer Science and Engineering, CHRIST (Deemed to Be University), Karnataka, Bangalore, India; Sambandam R.K., Department of Computer Science and Engineering, CHRIST (Deemed to Be University), Karnataka, Bangalore, India; John S.P., Department of Computer Science and Engineering, Jyothi Engineering College, Cheruthuruthy, Kerala, Thrissur, 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 Review on Image Processing-Based Building Damage Assessment Techniques Subject The topic of the resource Classification; Image enhancement; Image segmentation; Remote sensing; Satellite sensors Description An account of the resource Quick damage assessment is essential for starting efficient emergency response operations following natural calamities or any other kind of disasters. After a disaster, it is crucial for rescue departments to produce judgments and distribute the resources based on a fast retrieval of precise building damage status. A ground survey is used to implement traditional building assessment, and this is labor-intensive, dangerous, and time-consuming. Studies on building damage extraction over the past few decades have generally concentrated on localizing and evaluating the destructed structures, analyzing the ratio of damaged constructions, and determining the sort of destruction each construction has sustained. Recent research trends are mainly concentrated on the utilization of data collected from multiple sensors for the damage assessments of buildings. Each stage of digital image processing can be carried out in multiple ways and several novel ideas are emerging every single day. This paper reviews the various damage assessment techniques in the different steps of digital image processing. The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2023. Creator An entity primarily responsible for making the resource Sajitha I.; Sambandam R.K.; John S.P. Source A related resource from which the described resource is derived Lecture Notes in Networks and Systems, Vol-726 LNNS, pp. 863-882. 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_69" target="_blank" rel="noreferrer noopener">https://doi.org/10.1007/978-981-99-3716-5_69</a> <a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85174437393&doi=10.1007%2F978-981-99-3716-5_69&partnerID=40&md5=3f85dc0cdca122041f5272327cf09bac" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85174437393&doi=10.1007%2f978-981-99-3716-5_69&partnerID=40&md5=3f85dc0cdca122041f5272327cf09bac</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 Sajitha I., Department of Computer Science and Engineering, CHRIST (Deemed to be University), Karnataka, Bangalore, India; Sambandam R.K., Department of Computer Science and Engineering, CHRIST (Deemed to be University), Karnataka, Bangalore, India; John S.P., Department of Computer Science and Engineering, Jyothi Engineering College, Kerala, Cheruthuruthy, Thrissur, 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 Controlling the Accuracy and Efficiency of Collision Detection in 2d Games using Hitboxes Subject The topic of the resource 2d games; accuracy; automated hitboxes; Collision detection; efficiency; hitboxes Description An account of the resource Collision detection is a process in game development that involves checking if two or more objects have intersected or collided with each other. It is a fundamental aspect of game mechanics that cannot be overlooked. Games invloves assets/sprites, which tend to be drawn digitally with the help of a computer program. This paper discusses controlling and detecting collisions in games that make use of PNG images as game assets. The conventional way to detect collision in a game is to check if the object is within the bounding box of another object or asset. However, such a method lacks realism and doesn't work well with much complex shapes as the game might register a hit when another object collides with the transparent part of the object being checked for collision. In order to overcome these limitations, the proposed algorithm divides the entire image into smaller rectangles and stores its coordinates in an array. The array is then pruned by removing coordinates with no translucent or opaque elements. Collision is detected by checking if any of the points of the collision object is inside the image array. 2023 IEEE. Creator An entity primarily responsible for making the resource Sajo P.; Gokulapriya R.; Mithun B.N. 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/InC457730.2023.10263197" target="_blank" rel="noreferrer noopener">https://doi.org/10.1109/InC457730.2023.10263197</a> <a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85174727616&doi=10.1109%2FInC457730.2023.10263197&partnerID=40&md5=e4b4eefd7e16554f1673d518a6e5e52f" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85174727616&doi=10.1109%2fInC457730.2023.10263197&partnerID=40&md5=e4b4eefd7e16554f1673d518a6e5e52f</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 Sajo P., CHRIST(Deemed) University, Dept. of Computer Science, Bengaluru, India; Gokulapriya R., CHRIST(Deemed) University, Dept. of Computer Science, Bengaluru, India; Mithun B.N., CHRIST(Deemed) University, Dept. of Computer Science, 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 Comprehensive Study on Sentiment Analysis: Types, Approaches, Recent Applications, Tools and APIs Subject The topic of the resource API; NLP; Sentiment Analysis Description An account of the resource Sentiment analysis can be considered a major application of machine learning, more particularly natural language processing (NLP). As there are varieties of applications, Sentiment analysis has gained a lot of attention and is one among the fastest growing research area in computer science. It is a type of data analysis which is observed from news reports, user reviews, feedbacks, social media updates etc. Responses are collected and analyzed by researchers. All sentiments can be classified into three categories-Positive, Negative and Neutral. The paper gives a detailed study of sentiment analysis. It explains the basics of sentiment analysis, its types, and different approaches of sentiment analysis. The recent tools and APIs along with various real world applications of sentiment analysis in various areas are also described briefly. 2020 IEEE. Creator An entity primarily responsible for making the resource Saju B.; Jose S.; Antony A. Source A related resource from which the described resource is derived Proceedings - 2020 Advanced Computing and Communication Technologies for High Performance Applications, ACCTHPA 2020, pp. 186-193. 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 2020-01-01 Identifier An unambiguous reference to the resource within a given context <a href="https://doi.org/10.1109/ACCTHPA49271.2020.9213209" target="_blank" rel="noreferrer noopener">https://doi.org/10.1109/ACCTHPA49271.2020.9213209</a> <a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85094605917&doi=10.1109%2FACCTHPA49271.2020.9213209&partnerID=40&md5=240391f4353f92c7e074e5a1876ee670" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85094605917&doi=10.1109%2fACCTHPA49271.2020.9213209&partnerID=40&md5=240391f4353f92c7e074e5a1876ee670</a> Rights Information about rights held in and over the resource Restricted Access Relation A related resource ISBN: 978-172816453-3 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 Saju B., Christ(Deemed to be University), Bangalore, India, NIMIT, Computer Science Department, Pongam, India; Jose S., NIMIT, Computer Science Department, Pongam, India; Antony A., NIMIT, Computer Science Department, Pongam, 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 Articles Article Faculty Publications -Articles 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 An Image Quality Selection and Effective Denoising on Retinal Images Using Hybrid Approaches Subject The topic of the resource Green Channel; Image Quality; Noise Filtering; Pre-Processing; Quality Score; Retinal Image Description An account of the resource Retinal image analysis has remained an essential topic of research in the last decades. Several algorithms and techniques have been developed for the analysis of retinal images. Most of these techniques use benchmark retinal image datasets to evaluate performance without first exploring the quality of the retinal image. Hence, the performance metrics evaluated by these approaches are uncertain. In this paper, the quality of the images is selected by utilizing the hybrid naturalness image quality evaluator and the perception-based image quality evaluator (hybrid NIQE-PIQE) approach. Here, the raw input image quality score is evaluated using the Hybrid NIQE-PIQE approach. Based on the quality score value, the deep learning convolutional neural network (DCNN) categorizes the images into low quality, medium quality and high quality images. Then the selected quality images are again pre-processed to remove the noise present in the images. The individual green channel (G-channel) is extracted from the selected quality RGB images for noise filtering. Moreover, hybrid modified histogram equalization and homomorphic filtering (Hybrid G-MHE-HF) are utilized for enhanced noise filtering. The implementation of proposed scheme is implemented on MATLAB 2021a. The performance of the implemented method is compared with the other approaches to the accuracy, sensitivity, specificity, precision and F-score on DRIMDB and DRIVE datasets. The proposed schemes accuracy is 0.9774, sensitivity is 0.9562, precision is 0.99, specificity is 0.99, and F-measure is 0.9776 on the DRIMDB dataset, respectively. 2023 Baqiyatallah University of Medical Sciences. All rights reserved. Creator An entity primarily responsible for making the resource Saju B.; Rajesh R. Source A related resource from which the described resource is derived International Journal on Recent and Innovation Trends in Computing and Communication, Vol-11, No. 5, pp. 170-180. Publisher An entity responsible for making the resource available Auricle Global Society of Education and Research 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/10.17762/ijritcc.v11i5.6603" target="_blank" rel="noreferrer noopener">https://doi.org/10.17762/ijritcc.v11i5.6603</a> <a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85164580442&doi=10.17762%2Fijritcc.v11i5.6603&partnerID=40&md5=ff7951e87b79733fa46c450fd1c339a5" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85164580442&doi=10.17762%2fijritcc.v11i5.6603&partnerID=40&md5=ff7951e87b79733fa46c450fd1c339a5</a> Rights Information about rights held in and over the resource All Open Access; Gold Open Access Relation A related resource ISSN: 23218169 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 Article Coverage The spatial or temporal topic of the resource, the spatial applicability of the resource, or the jurisdiction under which the resource is relevant Saju B., Department of Computer Science, Christ (Deemed to be University), Karnataka, Bengaluru, 560029, India; Rajesh R., Department of Computer Science, Christ (Deemed to be University), 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 Articles Article Faculty Publications -Articles 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 Eye-Vision Net: Cataract Detection and Classification in Retinal and Slit Lamp Images using Deep Network Subject The topic of the resource Aquila optimization; Be-resnet101; Cataract detection; Crnn; Dense cnn; Grade classification Description An account of the resource In the modern world, cataracts are the predominant cause of blindness. Early treatment and detection can reduce the number of cataract patients and prevent surgery. However, cataract grade classification is necessary to control risk and avoid blindness. Previously, various studies focused on developing a system to detect cataract type and grade. However, the existing works on cataract detection does not provide optimal results because of high detection error, lack of learning ability, computational complexity issues, etc. Therefore, the proposed work aims to develop an effective deep learning techniques for detecting and classifying cataracts from the given input samples. Here, the cataract detection and classification are performed using two phases. In order to provide an accurate cataract detection, the proposed study introduced Deep Optimized Convolutional Recurrent Network_Improved Aquila Optimization (Deep OCRN_IAO) model in phase I. Here, both retinal and slit lamp images are utilized for cataract detection. Then, the performance of these two image datasets are analysed, and the best one is chosen for cataract type and grade classification. By analysing the performance, the slit lamp images attain higher results. Therefore, phase II uses slit lamp images and detects the type and grade of cataracts through the proposed Batch Equivalence ResNet-101 (BE_ResNet101) model. The proposed classification model is highly efficient to classify the type and grades of cataracts. The experimental setup is done using MATLAB software, and the datasets used for simulation purposes are DRIMDB (Diabetic Retinopathy Images Database) and real-time slit lamp images. The proposed type and grade detection model has an accuracy of 98.87%, specificity of 99.66%, the sensitivity of 98.28%, Youden index of 95.04%, Kappa of 97.83%, and F1-score is 95.68%. The obtained results and comparative analysis proves that the proposed model is highly suitable for cataract detection and classification. 2022, International Journal of Advanced Computer Science and Applications. All Rights Reserved. Creator An entity primarily responsible for making the resource Saju B.; Rajesh R. Source A related resource from which the described resource is derived International Journal of Advanced Computer Science and Applications, Vol-13, No. 12, pp. 211-221. Publisher An entity responsible for making the resource available Science and Information Organization Date A point or period of time associated with an event in the lifecycle of the resource 2022-01-01 Identifier An unambiguous reference to the resource within a given context <a href="https://doi.org/10.14569/IJACSA.2022.0131227" target="_blank" rel="noreferrer noopener">https://doi.org/10.14569/IJACSA.2022.0131227</a> <a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85146731265&doi=10.14569%2FIJACSA.2022.0131227&partnerID=40&md5=7c95894ce47bf102e9301d0825940910" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85146731265&doi=10.14569%2fIJACSA.2022.0131227&partnerID=40&md5=7c95894ce47bf102e9301d0825940910</a> Rights Information about rights held in and over the resource All Open Access; Gold Open Access Relation A related resource ISSN: 2158107X 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 Article Coverage The spatial or temporal topic of the resource, the spatial applicability of the resource, or the jurisdiction under which the resource is relevant Saju B., Department of Computer Science, Christ (Deemed to be University), Karnataka, Bengaluru, 560029, India; Rajesh R., Department of Computer Science, Christ (Deemed to be University), 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 Book Chapter Book Chapter Faculty Publications- Book Chapter 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 Computer-Aided Cataract Detection, Classification, and Management Using Artificial Intelligence Subject The topic of the resource Artificial intelligence; Cataract; Machine learning Description An account of the resource The day-to-day popularity of computer-aided detection is increasing medical field. Cataract is a main cause of blindness in the entire world. Compared with the other eye diseases, computer-aided development in the area of cataract is remaining underexplored. Several researches are done for automated detection of cataract. Many study groups have proposed many computer-aided systems for detecting cataract, classifying the different type, identification of stages, and calculation of lens power selection prior to cataract surgery. With the advancement in the artificial intelligence and machine learning, future cataract-related research work can undergo very useful achievements in the coming days. The paper studies various recent researches done related to cataract detection, classification, and grading using various artificial intelligence techniques. Various comparisons are done based on the methodology used, type of dataset, and the accuracy of various methodologies. Based on the comparative study, research gap is identified, and a new method is proposed which can overcome the disadvantages and gaps of the studied work. 2022, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. Creator An entity primarily responsible for making the resource Saju B.; Rajesh R. Source A related resource from which the described resource is derived Lecture Notes on Data Engineering and Communications Technologies, Vol-114, pp. 355-366. 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 2022-01-01 Identifier An unambiguous reference to the resource within a given context <a href="https://doi.org/10.1007/978-981-16-9416-5_25" target="_blank" rel="noreferrer noopener">https://doi.org/10.1007/978-981-16-9416-5_25</a> <a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85133650119&doi=10.1007%2F978-981-16-9416-5_25&partnerID=40&md5=eb0aa4068a7687f66ba7652834a6bf00" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85133650119&doi=10.1007%2f978-981-16-9416-5_25&partnerID=40&md5=eb0aa4068a7687f66ba7652834a6bf00</a> Rights Information about rights held in and over the resource Restricted Access Relation A related resource ISSN: 23674512 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 Book chapter Coverage The spatial or temporal topic of the resource, the spatial applicability of the resource, or the jurisdiction under which the resource is relevant Saju B., CHIST (Deemed to be University), Bangalore, India, New Horizon College of Engineering, Karnataka, Bangalore, India; Rajesh R., CHIST (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 Certificate Generation and Validation Using Blockchain Subject The topic of the resource Anti-forgery mechanism; Digital certificate; Public key infrastructure; Remix Ethereum IDE; Smart contracts Description An account of the resource Verifying academic credentials is a standard procedure for employers when making job offers. After the interview procedure is complete, the employer takes a long time to supply the offer letter. The employer must have the certificate authenticated by the organization that issued it to confirm its originality. While confirming the authenticity of a certificate, the employer takes a long time. The selection procedure takes longer overall because of the long process involved in certificate verification. Blockchain offers a verified distributed ledger with a cryptography technique to combat academic certificate forgery to address this issue. The blockchain also offers a standard platform for document storage, access, and minimization of verification time. The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2024. Creator An entity primarily responsible for making the resource Saju S.; Sabu I.R.; Mary Anita E.A. Source A related resource from which the described resource is derived Lecture Notes in Networks and Systems, Vol-865, pp. 275-282. 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 2024-01-01 Identifier An unambiguous reference to the resource within a given context <a href="https://doi.org/10.1007/978-981-99-9043-6_23" target="_blank" rel="noreferrer noopener">https://doi.org/10.1007/978-981-99-9043-6_23</a> <a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85190370643&doi=10.1007%2F978-981-99-9043-6_23&partnerID=40&md5=15587643e396510ebf0b128a686ddf14" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85190370643&doi=10.1007%2f978-981-99-9043-6_23&partnerID=40&md5=15587643e396510ebf0b128a686ddf14</a> Rights Information about rights held in and over the resource Restricted Access Relation A related resource ISSN: 23673370; ISBN: 978-981999042-9 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 Saju S., Department of Computer Science and Engineering, Christ University, Karnataka, Kengeri, Bengaluru, 560074, India; Sabu I.R., Department of Computer Science and Engineering, Christ University, Karnataka, Kengeri, Bengaluru, 560074, India; Mary Anita E.A., Department of Computer Science and Engineering, Christ University, Karnataka, Kengeri, Bengaluru, 560074, India https://archives.christuniversity.in/files/original/77d75a8752de8964e5a1c9c3ff396146.pdf 565c6f34a8652db05bc2fb2d7aa19dc9 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 MPHIL Mphil Mphil Thesis 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 Use of language games in teaching and learning english in middle school Creator An entity primarily responsible for making the resource Saju Selan Mable Date A point or period of time associated with an event in the lifecycle of the resource 2016 Source A related resource from which the described resource is derived English 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 PHD PhD PhD Thesis 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/. Relation A related resource 61000291 Title A name given to the resource Risk Factor Based Stage Advancement Prediction of Cataract Using Deep Learning Techniques Subject The topic of the resource Computer Science Description An account of the resource In modern world, Cataract is the predominant causative of blindness. Treatment and detection at the early stage can reduce the number of cataract sufferers and prevent surgery. Two types of images are generally used for cataract related studies- Retinal Images an Slit lamp Images. The quality of Retinal images is selected by utilizing the hybrid naturalness image quality evaluator (hybrid NIQE-PIQE) approach. Here, the raw input image quality score is and Deep newlinelearning convolutional neural network (DCNN) categorizes the images based on quality newlinescore. Then the selected quality images are again pre-processed to remove the noise present in the images. The individual green channel (G-channel) is extracted for noise filtering. Moreover, hybrid modified histogram equalization and homomorphic filtering (Hybrid GMHE-HF) is utilized for enhanced noise filtering. The Slit lamp image quality selection is done using Blind/Referenceless Image Spatial Quality Evaluator (BRISQUE) model. Further a new algorithm Normalization based Contrast limited adaptive histogram equalization (NCLAHE) is used for image enhancement. Images are pre-processed utilizing the wiener filtering (WF) with Convolutional neural network (CNN) with adaptive atom search optimization (CNN-AASO) for removing the noise. Further, the denoised image is enhanced by Gaussian mixture based contrast enhancement (GMCE) for contrast enhancement. The cataract detection and classification is performed using two phases. In phase I, the cataract is detected using Deep Optimized Convolutional Recurrent Network_Improved Aquila Optimization (Deep OCRN_IAO) model. Phase II uses slit lamp images and detects the type and grade of cataracts through proposed Batch Equivalence ResNet-101 (BE_ResNet101) model.This work also proposes the risk factors for cataracts and classify the cataracts risk using deep learning models. The dataset is pre-processed by missing values and the string values are converted into numeric values. Creator An entity primarily responsible for making the resource Saju, Binju Source A related resource from which the described resource is derived Author's Submission Publisher An entity responsible for making the resource available Christ(Deemed to be University) Date A point or period of time associated with an event in the lifecycle of the resource 2024-01-01 Contributor An entity responsible for making contributions to the resource R, Rajesh Rights Information about rights held in and over the resource Open Access Format The file format, physical medium, or dimensions of the resource PDF Language A language of the resource English Type The nature or genre of the resource PhD Identifier An unambiguous reference to the resource within a given context <a href="http://hdl.handle.net/10603/547683" target="_blank" rel="noreferrer noopener">http://hdl.handle.net/10603/547683</a> 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 Articles Article Faculty Publications -Articles 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 Di-cationic ionic liquid catalyzed synthesis of 1,5-benzothiazepines Subject The topic of the resource 1,5-Benzodiazepines; 1,5-Benzothiazepines; Cyclo-condensation reaction; gem-Dicationic ionic liquids; Reusability Description An account of the resource A simple and elegant method for the synthesis of 1,5-benzothiazepines has been developed using di-cationic liquid as a solvent cum catalyst by the reaction of o-aminothiophenol with a variety of chalcones under mild reaction conditions. Furthermore the reusability of the catalyst has also been studied for three cycles. All the reactions are proposed to proceed through a 1,4-conjugate Michael addition followed by a cyclo-condensation reaction. 2018, Chemical Publishing Co. All rights reserved. Creator An entity primarily responsible for making the resource Sakirolla R.; Tadiparthi K.; Yaeghoobi M.; Rahman N.Abd. Source A related resource from which the described resource is derived Asian Journal of Chemistry, Vol-30, No. 1, pp. 107-115. Publisher An entity responsible for making the resource available Chemical Publishing Co. Date A point or period of time associated with an event in the lifecycle of the resource 2018-01-01 Identifier An unambiguous reference to the resource within a given context <a href="https://doi.org/10.14233/ajchem.2018.20920" target="_blank" rel="noreferrer noopener">https://doi.org/10.14233/ajchem.2018.20920</a> <a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85037991750&doi=10.14233%2Fajchem.2018.20920&partnerID=40&md5=366f01fb197ddd17e1910cc13f7c3497" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85037991750&doi=10.14233%2fajchem.2018.20920&partnerID=40&md5=366f01fb197ddd17e1910cc13f7c3497</a> Rights Information about rights held in and over the resource All Open Access; Bronze Open Access Relation A related resource ISSN: 9707077; CODEN: AJCHE 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 Article Coverage The spatial or temporal topic of the resource, the spatial applicability of the resource, or the jurisdiction under which the resource is relevant Sakirolla R., Department of Chemistry, Central University of Karnataka, Kadaganchi, Aland Road, Kalaburagi, 585 367, India; Tadiparthi K., Department of Chemistry, Christ University, Hosur Road, Bangalore, 560 029, India; Yaeghoobi M., Department of Chemistry, University of Malaya, Kuala Lumpur, 50603, Malaysia; Rahman N.Abd., Department of Chemistry, University of Malaya, Kuala Lumpur, 50603, Malaysia 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 Articles Article Faculty Publications -Articles 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 Exploration of the effects of anisotropy and rotation on RayleighBard convection of nanoliquid-saturated porous medium using general boundary conditions Subject The topic of the resource anisotropy; Convection; general boundaries; nanoliquid; porous medium; rotation Description An account of the resource This paper presents an analysis of RayleighBard convection (RBC) of a Newtonian-nanoliquid-saturated anisotropic porous medium in the presence of rotation (RayleighBardTaylor convection). The investigation is performed using non-classical boundary conditions. The effect of various parameters on the onset of convection is presented graphically. The system sees stabilisation due to an increase in the rotation rate and thermal anisotropy parameter whereas the system destabilises due to an increase in the mechanical anisotropy parameter. The results of 82 limiting cases can be extracted from the current work. The results of free-free, rigid-free and rigid-rigid isothermal/adiabatic boundaries are obtained from the present study by considering appropriate limits. The results of the limiting cases of the present study are in excellent agreement with those observed in earlier investigations. 2024 Informa UK Limited, trading as Taylor & Francis Group. Creator An entity primarily responsible for making the resource Sakshath T.N.; Siddheshwar P.G. Source A related resource from which the described resource is derived International Journal of Ambient Energy, Vol-45, No. 1 Publisher An entity responsible for making the resource available Taylor and Francis Ltd. Date A point or period of time associated with an event in the lifecycle of the resource 2024-01-01 Identifier An unambiguous reference to the resource within a given context <a href="https://doi.org/10.1080/01430750.2024.2368103" target="_blank" rel="noreferrer noopener">https://doi.org/10.1080/01430750.2024.2368103</a> <a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85197449415&doi=10.1080%2F01430750.2024.2368103&partnerID=40&md5=65425c89b98fe9535cfba0dd4984d6bc" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85197449415&doi=10.1080%2f01430750.2024.2368103&partnerID=40&md5=65425c89b98fe9535cfba0dd4984d6bc</a> Rights Information about rights held in and over the resource Restricted Access Relation A related resource ISSN: 1430750; CODEN: IJAED 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 Article Coverage The spatial or temporal topic of the resource, the spatial applicability of the resource, or the jurisdiction under which the resource is relevant Sakshath T.N., Department of Mathematics, R V College of Engineering, Bengaluru, 560 059, India; Siddheshwar P.G., Centre for Mathematical Needs, Department of Mathematics, CHRIST (Deemed to be University), Bengaluru, 560 029, 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 Predicting the Stock Markets Using Neural Network with Auxiliary Input Subject The topic of the resource Deep learning; Prediction; Stock market; Text classification Description An account of the resource Predicting the stock market has always been a challenging task and has always had a certain appeal for researchers all around the world. Stock markets are supposed to be quite random and people with experience in the market strongly agree to the fact. Thus, predicting the stock market accurately paves the way for endless money. To date, no such algorithm has been devised that could even predict the stock market with a 90% accuracy rate. The difficulty lies in the randomness of the markets, and the various complexities involved in modeling market dynamics. Nevertheless, there have been algorithms with a decent success rate and researchers around the world have been in a constant attempt to improve over them. Thus, through this paper we attempt at predicting the return of a stock over a period of 10days after a particular news was out regarding the stock using the headlines of the news and certain other features important in determining the direction of a stock. The model was implemented with a sigma score of 0.81. 2021, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. Creator An entity primarily responsible for making the resource Sakshi; Ghosh S. Source A related resource from which the described resource is derived Lecture Notes in Networks and Systems, Vol-190, pp. 743-752. 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 2021-01-01 Identifier An unambiguous reference to the resource within a given context <a href="https://doi.org/10.1007/978-981-16-0882-7_66" target="_blank" rel="noreferrer noopener">https://doi.org/10.1007/978-981-16-0882-7_66</a> <a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85112245198&doi=10.1007%2F978-981-16-0882-7_66&partnerID=40&md5=a27282907642831cc1b0eadea6b85a6a" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85112245198&doi=10.1007%2f978-981-16-0882-7_66&partnerID=40&md5=a27282907642831cc1b0eadea6b85a6a</a> Rights Information about rights held in and over the resource Restricted Access Relation A related resource ISSN: 23673370; ISBN: 978-981160881-0 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 Sakshi, Computer Science and Engineering, Siddaganga Institute of Technology, Tumkur, India; Ghosh S., Computer Science and Engineering, Christ 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 Articles Article Faculty Publications -Articles 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 Malicious Botnet Traffic Detection Using Machine Learning Subject The topic of the resource Bot-IoT; Botnet; Machine learning; TOPSIS Description An account of the resource Detection of incorrect and malign data transfers in the Internet of Things (IoT) network is important for IoT safety to observe an eye on and prevent unwelcomed traffic flow to the network of IoT. For it, Machine Learning (ML) strategic methods are produced by several researchers to prevent malign data flows through the network of IoT. Nonetheless, because of the wrong choice of feature, a few malign Machine Learning models differentiate especially the movement of malign traffic. Still, what matters is the problem that needs to be deliberated in-depth to select the best features for better malign traffic acquisition in the network of IoT. Dealing with the challenge, a new process was proposed. 1st, the metric method of selecting a novel feature called the proposed CorrAUC, and hinged on CorrAUC, a new highlight for choosing the Corrauc algorithm name is also being developed, designed hinged on the system folding filter features precisely and select the active features of the choose ML method using AUC metric. After that, we apply a combined application Order of Preference by Similarity to Ideal Solution Using Shannon Entropy (TOPSIS) built on a bijective set which is soft to verify selected features for identification of malign 1traffic in IoT network. We test our method using data set of Bot-IoT and 4 dissimilar ML classifiers. Practical outcomeanalysis showed that our proposed approach works as well and can achieve greater than 96% results on average. 2022 Wolters Kluwer Medknow Publications. All rights reserved. Creator An entity primarily responsible for making the resource Sakthivel M.; Sivanantham S.; Akshaya V.; Sivakumar D.; Karthikeyan H. Source A related resource from which the described resource is derived Journal of Pharmaceutical Negative Results, Vol-13, No. 4, pp. 968-977. Publisher An entity responsible for making the resource available ResearchTrentz Academy Publishing Education Services Date A point or period of time associated with an event in the lifecycle of the resource 2022-01-01 Identifier An unambiguous reference to the resource within a given context <a href="https://doi.org/10.47750/pnr.2022.13.04.131" target="_blank" rel="noreferrer noopener">https://doi.org/10.47750/pnr.2022.13.04.131</a> <a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85143358107&doi=10.47750%2Fpnr.2022.13.04.131&partnerID=40&md5=c089677658bbb8045492361f9e52b34e" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85143358107&doi=10.47750%2fpnr.2022.13.04.131&partnerID=40&md5=c089677658bbb8045492361f9e52b34e</a> Rights Information about rights held in and over the resource Restricted Access Relation A related resource ISSN: 9769234 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 Article Coverage The spatial or temporal topic of the resource, the spatial applicability of the resource, or the jurisdiction under which the resource is relevant Sakthivel M., Department of CSE, Sree Vidyanikethan Engineering College, Andhra Pradesh, Tirupati, India; Sivanantham S., Department of CSSE, Sree Vidyanikethan Engineering College, Andhra Pradesh, Tirupati, India; Akshaya V., Department of CSE, Sree Vidyanikethan Engineering College, Andhra Pradesh, Tirupati, India; Sivakumar D., Department of CSSE, Sree Vidyanikethan Engineering College, Andhra Pradesh, Tirupati, India; Karthikeyan H., School of Engineering and Technology, CHRIST (Deemed To Be University), 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 AI Healthcare Industry in Life Science Industry: A Perspective View Subject The topic of the resource AI; communication; healthcare; innovation system; life science; policymakers; resources; socio-technical; technology; TIS approach Description An account of the resource The main goal of this study is to look at how well the innovation system for AI healthcare technology is working in the life science business and find things that are getting in the way of progress. A lot of different types of research were used for this study. It combines both quantitative and qualitative data from tertiary studies, business-related written sources, and conversations with 21 experts and 25 life science management leaders to get new ideas. The results make it clear that innovation system performance is being held back by a lack of resources and poor communication from top healthcare experts about what they need to improve healthcare with AI technology innovations. The study says that to deal with these problems, policymakers need to make changes that increase the resources that are available and come up with clear goals and visions for how AI technology can improve healthcare. Using the socio-technical technological advancement System (TIS) approach in the healthcare setting, the study adds to our knowledge of how the innovation system works and how different parts of it affect each other. Overall, this study throws light on the complicated ways that innovation works in the life science field. It gives lawmakers, industry workers, and other interested parties useful information for pushing AI healthcare technology forward in a sociotechnical framework. 2024 IEEE. Creator An entity primarily responsible for making the resource Sakthivel S.; Reddy M.U.; Arunkumar B.; Srisainath R.; Ashok J.; Desai P.M. Source A related resource from which the described resource is derived 2024 4th International Conference on Advance Computing and Innovative Technologies in Engineering, ICACITE 2024, pp. 5-11. 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 2024-01-01 Identifier An unambiguous reference to the resource within a given context <a href="https://doi.org/10.1109/ICACITE60783.2024.10616979" target="_blank" rel="noreferrer noopener">https://doi.org/10.1109/ICACITE60783.2024.10616979</a> <a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85201805988&doi=10.1109%2FICACITE60783.2024.10616979&partnerID=40&md5=60b49bacfad298b489a28f58a2616015" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85201805988&doi=10.1109%2fICACITE60783.2024.10616979&partnerID=40&md5=60b49bacfad298b489a28f58a2616015</a> Rights Information about rights held in and over the resource Restricted Access Relation A related resource ISBN: 979-835036016-5 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 Sakthivel S., Nehru Institute of Engineering and Technology, Department of Electrical and Electronic Engineering, Tamil Nadu, T.M.Palayam, India; Reddy M.U., Ies College of Technology, Department of Computer Science & Engineering, M.P, Bhopal, 462044, India; Arunkumar B., Karpagam Academy of Higher Education, Coimbatore, 641021, India; Srisainath R., Prince Shri Venkateshwara Padmavathy Engineering College, Department of Mechanical Engineering, Chennai, India; Ashok J., Christ University, Bangalore, India; Desai P.M., Cmr Technical Campus, Hyderabad, Medchal, 501401, 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 Articles Article Faculty Publications -Articles 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 Transparency and Trust in Agrifood Supply Chains through Novel Blockchain-based Architecture Subject The topic of the resource Big data; Blockchain; Internet of Things; Monitoring; Security Description An account of the resource At present, the world is witnessing a rapid change in all the fields of human civilization business interests and goals of all the sectors are changing very fast. Global changes are taking place quickly in all fields manufacturing, service, agriculture, and external sectors. There are plenty of hurdles in the emerging technologies in agriculture in the modern days. While adopting such technologies as transparency and trust issues among stakeholders, there arises a pressurized necessity on food suppliers because it has to create sustainable systems not only addressing demandsupply disparities but also ensuring food authenticity. Recent studies have attempted to explore the potential of technologies like blockchain and practices for smart and sustainable agriculture. Besides, this well-researched work investigates how a scientific cum technological blockchain architecture addresses supply chain challenges in Precision Agriculture to take up challenges related to transparency traceability, and security. A robust registration phase, efficient authentication mechanisms, and optimized data management strategies are the key components of the proposed architecture. Through secured key exchange mechanisms and encryption techniques, client's identities are verified with inevitable complexity. The confluence of IoT and blockchain technologies that set up modern farms amplify control within supply chain networks. The practical manifestation of the researchers' novel blockchain architecture that has been executed on the Hyperledger network, exposes a clear validation using corroboration of concept. Through exhaustive experimental analyses that encompass, transaction confirmation time and scalability metrics, the proposed architecture not only demonstrates efficiency but also underscores its usability to meet the demands of contemporary Precision Agriculture systems. However, the scholarly paper based upon a comprehensive overview resolves a solution as a fruitful and impactful contribution to blockchain applications in agriculture supply chains. Copyright 2024 KSII. Creator An entity primarily responsible for making the resource Sakthivel V.; Prakash P.; Lee J.-W.; Prabu P. Source A related resource from which the described resource is derived KSII Transactions on Internet and Information Systems, Vol-18, No. 7, pp. 1968-1985. Publisher An entity responsible for making the resource available Korean Society for Internet Information Date A point or period of time associated with an event in the lifecycle of the resource 2024-01-01 Identifier An unambiguous reference to the resource within a given context <a href="https://doi.org/10.3837/tiis.2024.07.013" target="_blank" rel="noreferrer noopener">https://doi.org/10.3837/tiis.2024.07.013</a> <a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85200211134&doi=10.3837%2Ftiis.2024.07.013&partnerID=40&md5=9723868808ce0a52a48db67170f79a21" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85200211134&doi=10.3837%2ftiis.2024.07.013&partnerID=40&md5=9723868808ce0a52a48db67170f79a21</a> Rights Information about rights held in and over the resource Restricted Access Relation A related resource ISSN: 19767277 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 Article Coverage The spatial or temporal topic of the resource, the spatial applicability of the resource, or the jurisdiction under which the resource is relevant Sakthivel V., School of Computer Science and Engineering, Vellore Institute of Technology, Chennai, India; Prakash P., School of Computer Science and Engineering, Vellore Institute of Technology, Chennai, India; Lee J.-W., Konkuk Aerospace Design-Airworthiness Institute, Konkuk University, Seoul, South Korea; Prabu P., Department of Computer Science, CHRIST (Deemed to be 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 Articles Article Faculty Publications -Articles 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 Mass layoffs at BYJUS founders dilemma Subject The topic of the resource BYJUS; EdTech; Layoffs; Toxic work culture Description An account of the resource Learning outcomes: This case study provides students/managers an opportunity to learn about the following: to infer the challenges involved in the downsizing of employees; to asses and evaluate BYJUS organizational culture; and to determine the impact of workplace toxicity. Case overview/synopsis: The focus of this case is the controversy faced by BYJUS due to its mass layoffs and toxic work culture. This case discusses the CEOs dilemma in resolving the controversy. Two rounds of mass layoffs at BYJUS are discussed in detail. The industrial dispute filed by Employees Union against BYJUS accusing it of denying due compensation to laid-off employees is also discussed. This case consists of a section explaining the toxic work culture at BYJUS, which is supported by employee complaints. The CEOs justification and apology have been illustrated in this case. The case ends with a closing dilemma and challenges faced by the CEO. Complexity academic level: The case is best suited for undergraduate students studying Human Resources Management subjects in Commerce and Business Management streams. The authors suggest that the instructor inform students to read the case before attending the 90-min session. It can be executed in the classroom after discussing the theoretical concepts. Supplementary material: Teaching notes are available for educators only. Subject code: CSS 6: Human Resource Management. 2024, Emerald Publishing Limited. Creator An entity primarily responsible for making the resource Saldanha A.; Aranha R. Source A related resource from which the described resource is derived Emerald Emerging Markets Case Studies, Vol-14, No. 4, pp. 1-12. Publisher An entity responsible for making the resource available Emerald Publishing Date A point or period of time associated with an event in the lifecycle of the resource 2024-01-01 Identifier An unambiguous reference to the resource within a given context <a href="https://doi.org/10.1108/EEMCS-12-2023-0507" target="_blank" rel="noreferrer noopener">https://doi.org/10.1108/EEMCS-12-2023-0507</a> <a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85208532331&doi=10.1108%2FEEMCS-12-2023-0507&partnerID=40&md5=907e3af4a570a4eca54359e2b4c24d02" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85208532331&doi=10.1108%2fEEMCS-12-2023-0507&partnerID=40&md5=907e3af4a570a4eca54359e2b4c24d02</a> Rights Information about rights held in and over the resource Restricted Access Relation A related resource ISSN: 20450621 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 Article Coverage The spatial or temporal topic of the resource, the spatial applicability of the resource, or the jurisdiction under which the resource is relevant Saldanha A., Department of Marketing, St Josephs Institute of Management, Bangalore, India; Aranha R., School of Business and Management, Christ 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 Articles Article Faculty Publications -Articles 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 Coca-Cola product placement strategy backfires a case of celebrity activism Subject The topic of the resource Athlete activism; Branding; Celebrity activism; Celebrity endorsement; Product placement Description An account of the resource Research methodology: A secondary research method was used to collect data for this case. The authors have made use of newspaper articles and published articles written by journalists and experts which are available in the public domain. Case overview/synopsis: Instances of celebrity activism such as athlete activism are rising. Social media has amplified the voice of celebrities and given them a personal channel to directly communicate with their fans without any media censorship. The same is true especially concerning endorsement by sports superstars, who now seem to have a mind of their own, independent of the official line of clubs, tournament organizers or sponsoring companies. This case discusses the embarrassment and financial loss faced by soft drinks giant Coca-Cola due to the public snub by football superstar Cristiano Ronaldo during an official press conference of the EURO 2020 championship. Complexity academic level: Undergraduate and postgraduate students studying marketing management and brand management courses in business management and commerce streams can use this case. This case can also be used for marketing specialization students at the undergraduate and postgraduate levels. 2023, Emerald Publishing Limited. Creator An entity primarily responsible for making the resource Saldanha A.; Aranha R. Source A related resource from which the described resource is derived CASE Journal, Vol-19, No. 5, pp. 737-745. Publisher An entity responsible for making the resource available Emerald Publishing 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/10.1108/TCJ-07-2021-0103" target="_blank" rel="noreferrer noopener">https://doi.org/10.1108/TCJ-07-2021-0103</a> <a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85164479975&doi=10.1108%2FTCJ-07-2021-0103&partnerID=40&md5=42d004aebb16f5d354611200251caafb" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85164479975&doi=10.1108%2fTCJ-07-2021-0103&partnerID=40&md5=42d004aebb16f5d354611200251caafb</a> Rights Information about rights held in and over the resource Restricted Access Relation A related resource ISSN: 15449106 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 Article Coverage The spatial or temporal topic of the resource, the spatial applicability of the resource, or the jurisdiction under which the resource is relevant Saldanha A., Department of Marketing, St. Joseph's Institute of Management, Bangalore, India; Aranha R., Department of HR, School of Business and Management, 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 Articles Article Faculty Publications -Articles 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 Pricing and content Netflixs dilemma in India Subject The topic of the resource Content; Marketing; Marketing strategy; Netflix; OTT; Premium pricing; Price; Pricing; Strategy; Streaming; Subscription Description An account of the resource Learning outcomes: The learning outcomes of this study are as follows:1. Analyze the pricing strategy followed by Netflix in India;2. Examine the challenges faced by media companies, including over-the-top (OTT) service providers, in developing content for target consumers in emerging markets; and3. Evaluate the dynamics of the Indian OTT industry and understand the effect of external and internal factors on the growth of Netflix in India. Case overview/synopsis: This case discusses the dilemma faced by Netflix in India regarding pricing and content. Netflix was accused of hurting the religious and political sentiments of Indians by broadcasting bold shows such as Sacred Games and A Suitable Boy. Netflix is caught in a dilemma between its pursuit to achieve its target of achieving 100 million subscribers from India versus continuing its profitable high pricing strategy. Another key dilemma is regarding the streaming of attractive bold content which may occasionally hurt the religious/political sentiments of some Indians or stream only safe content which may be deemed as boring by its young target audience. Complexity academic level: Undergraduate and postgraduate students studying Marketing courses in Commerce and Business Management streams can use this case. Supplementary materials: Teaching notes are available for educators only. Subject code: CSS 8: Marketing. 2022, Emerald Publishing Limited. Creator An entity primarily responsible for making the resource Saldanha A.; Aranha R. Source A related resource from which the described resource is derived Emerald Emerging Markets Case Studies, Vol-12, No. 4, pp. 1-14. Publisher An entity responsible for making the resource available Emerald Publishing Date A point or period of time associated with an event in the lifecycle of the resource 2022-01-01 Identifier An unambiguous reference to the resource within a given context <a href="https://doi.org/10.1108/EEMCS-12-2021-0411" target="_blank" rel="noreferrer noopener">https://doi.org/10.1108/EEMCS-12-2021-0411</a> <a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85142159028&doi=10.1108%2FEEMCS-12-2021-0411&partnerID=40&md5=0dbc902f1a3039cdcd1323d14841dbed" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85142159028&doi=10.1108%2fEEMCS-12-2021-0411&partnerID=40&md5=0dbc902f1a3039cdcd1323d14841dbed</a> Rights Information about rights held in and over the resource Restricted Access Relation A related resource ISSN: 20450621 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 Article Coverage The spatial or temporal topic of the resource, the spatial applicability of the resource, or the jurisdiction under which the resource is relevant Saldanha A., Marketing Department, St. Josephs Institute of Management, Bangalore, India; Aranha R., School of Business and Management, CHRIST (Deemed to be University), Bangalore, India