472 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 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 Textual Analysis of Panchatantra, Enhanced by Technology from the Psychological Perspective Subject The topic of the resource animal portrayal; anthropomorphism; NLP techniques; stereotype; textual analysis Description An account of the resource This research paper offers a textual analysis of the portrayal of animals in the Panchatantra tales, leveraging technology, Natural Language Processing (NLP) for enhanced insights. The study focuses on the interplay of anthropomorphism and stereotypes within these narratives, delving into the diverse stereotypes associated with specific animals in the stories. This analysis enhances our understanding of animal portrayal in children's literature. Natural Language Processing (NLP) techniques like textual classification and thematic analysis have been employed to examine the underlying archetypes embedded within the tales to comprehend stereotypes. Through a close examination of literary examples employing AntConc, a corpus analysis software, this paper provides readers with a nuanced understanding of how anthropomorphism and stereotypes influence human perceptions of animals and contribute to our understanding of the natural world. 2024 IEEE. Creator An entity primarily responsible for making the resource Samuel C.E.; Srishti R. Source A related resource from which the described resource is derived TQCEBT 2024 - 2nd IEEE International Conference on Trends in Quantum Computing and Emerging Business Technologies 2024 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/TQCEBT59414.2024.10545143" target="_blank" rel="noreferrer noopener">https://doi.org/10.1109/TQCEBT59414.2024.10545143</a> <a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85204423138&doi=10.1109%2FTQCEBT59414.2024.10545143&partnerID=40&md5=109526e31208db711c670f2906dba1f3" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85204423138&doi=10.1109%2fTQCEBT59414.2024.10545143&partnerID=40&md5=109526e31208db711c670f2906dba1f3</a> Rights Information about rights held in and over the resource Restricted Access Relation A related resource ISBN: 979-835038427-7 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 Samuel C.E., Department of English, Christ University, Bengaluru, India; Srishti R., Department of Languages, Christ University, Bengaluru, India Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Conference Papers Conference Paper Faculty Publications- Conference Papers Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Sentiment Analysis of Lenders Motivation to Use a Peer-To-Peer (P2P) Lending Platform: LenDenClub.Com Subject The topic of the resource motivation to use; P2P lending; sentiment analysis; topic modelling Description An account of the resource Peer-To-Peer lending platforms are becoming a good investment avenue for lenders to invest their money in borrowers, who need money for a different purpose. As lending and borrowing of money is facilitated by the P2P lending platform, it becomes necessary for the platform to understand the users and accordingly fine tune the 'User Interface' (UI) and 'User Experience' (UX) of the platform. For lending and borrowing to take place through a platform it is necessary to have an 'n' number of lenders who are ready to lend money to an 'x' number of borrowers. This study is specifically done to understand lenders' motivation to use P2P lending platforms. This is a unique research work as sentiment analysis of lenders' motivation to use these platforms has not been explored earlier. The sentiment analysis technique was used to examine lenders' sentiments towards the use of P2P lending platforms. The research results show that, ~ 70 percent of lenders showed motivation to use P2P lending platforms as an investment avenue in the future. As the P2P lending platforms are relatively new more research can be carried out in future. 2024 IEEE. Creator An entity primarily responsible for making the resource Gupta S.; Mahajan J.; Jain V. Source A related resource from which the described resource is derived TQCEBT 2024 - 2nd IEEE International Conference on Trends in Quantum Computing and Emerging Business Technologies 2024 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/TQCEBT59414.2024.10545135" target="_blank" rel="noreferrer noopener">https://doi.org/10.1109/TQCEBT59414.2024.10545135</a> <a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85204425559&doi=10.1109%2FTQCEBT59414.2024.10545135&partnerID=40&md5=ed7698262a88c6f4c412348744fc678e" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85204425559&doi=10.1109%2fTQCEBT59414.2024.10545135&partnerID=40&md5=ed7698262a88c6f4c412348744fc678e</a> Rights Information about rights held in and over the resource Restricted Access Relation A related resource ISBN: 979-835038427-7 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 Gupta S., Marwadi University, Rajkot, India; Mahajan J., Christ (Deemed to Be University), Lavasa, Pune, India; Jain V., Marwadi University, Rajkot, 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 Economic and Urban Dynamics: Investigating Socioeconomic Status and Urban Density as Moderators of Mobile Wallet Adoption in Smart Cities Subject The topic of the resource etc; Mobile wallet; Smart cities; Socio-economic; Urban density Description An account of the resource This research paper examines the complex correlation between socioeconomic factors, urban density, and the acceptance of mobile wallet technology in smart cities. The study investigates how socioeconomic status and urban density influence the adoption of mobile wallets. Smart cities have experienced a significant increase in the adoption of mobile payment solutions such as Apple Pay, and Google Pay, noted for their technological innovation and ability to enhance living standards. These digital payment platforms provide ease, security, and efficiency, revolutionizing how individuals engage in financial transactions and navigate urban environments. The study examines the many aspects that impact this phenomenon, focusing on the significance of comprehending how socioeconomic status and urban density influence the acceptance of mobile wallets. The study utilizes a meticulous research technique, which involves evaluating the reliability and validity of constructs, analyzing Heterotrait-Monotrait (HTMT) ratios, conducting tests for discriminant validity, and doing variance inflation factor (VIF) analysis. These measures are taken to ensure the strength and reliability of the report's conclusions. The research's importance is further supported by model fit statistics and hypothesis testing conducted through bootstrapping. The results emphasize that the inclusion of mobile wallet functions, the legal framework, and the development of smart city infrastructure have a substantial influence on the acceptance of mobile wallets. However, the impact of urban density on mobile wallet adoption is more intricate and multifaceted. This study provides significant insights into the dynamic field of technology uptake in urban regions, with implications for politicians, entrepreneurs, and urban planners seeking to promote financial inclusion and technological integration in smart cities. 2024 IEEE. Creator An entity primarily responsible for making the resource Kankariya R.; Salunkhe H.A.; Oza K. Source A related resource from which the described resource is derived TQCEBT 2024 - 2nd IEEE International Conference on Trends in Quantum Computing and Emerging Business Technologies 2024 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/TQCEBT59414.2024.10545147" target="_blank" rel="noreferrer noopener">https://doi.org/10.1109/TQCEBT59414.2024.10545147</a> <a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85204422201&doi=10.1109%2FTQCEBT59414.2024.10545147&partnerID=40&md5=bd669f089777b7e18b674a35799daf97" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85204422201&doi=10.1109%2fTQCEBT59414.2024.10545147&partnerID=40&md5=bd669f089777b7e18b674a35799daf97</a> Rights Information about rights held in and over the resource Restricted Access Relation A related resource ISBN: 979-835038427-7 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 Kankariya R., Suryadatta Institute of Business Management and Technology, Pune, India; Salunkhe H.A., School of Business and Management, Christ University, Bangalore, India; Oza K., Information Research and Technology, SEF's Suryadatta College of Management, 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 Enhancing the Recognition of Hand Written Telugu Characters: Natural Language Processing and Machine Learning Approach Subject The topic of the resource Machine Learning; Natural Language processing; Optical Character Recognition (OCR); Telugu Description An account of the resource Handwritten character recognition has wider application in many areas including heritage documents, education, document digitalization, language processing, and assisting the visually handicapped and other related areas. The paper tries to improve the accuracy and efficiency of recognizing handwritten letters of Telugu language scripts, a difficult task for computers. Telugu is most widely spoken language in southern part of India, it has rich cultural heritage. Using the Natural Language Toolkit (NLTK), this study investigates ways to enhance recognition accuracy by analyzing handwritten content and implementing methods such as feature extraction and classification. The purpose is to use NLTK's capabilities to develop handwritten character recognition. 2024 IEEE. Creator An entity primarily responsible for making the resource Reedy B.G.; Meghana G.; Subhadra T.; Mithun B.N.; Yogish D. Source A related resource from which the described resource is derived Proceedings of InC4 2024 - 2024 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 2024-01-01 Identifier An unambiguous reference to the resource within a given context <a href="https://doi.org/10.1109/InC460750.2024.10649114" target="_blank" rel="noreferrer noopener">https://doi.org/10.1109/InC460750.2024.10649114</a> <a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85203834924&doi=10.1109%2FInC460750.2024.10649114&partnerID=40&md5=dce22a3b1383c52b4793320e31c07b19" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85203834924&doi=10.1109%2fInC460750.2024.10649114&partnerID=40&md5=dce22a3b1383c52b4793320e31c07b19</a> Rights Information about rights held in and over the resource Restricted Access Relation A related resource ISBN: 979-835038365-2 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 Reedy B.G., Christ University, Karnataka, Bangalore, India; Meghana G., Christ University, Karnataka, Bangalore, India; Subhadra T., Christ University, Karnataka, Bangalore, India; Mithun B.N., A P S College of Engineering, Dept of CSE, Karnataka, Bangalore, India; Yogish D., Christ University, Dept of CSE, 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 Enhanced Level Brain Tumor Identification Using CNN, VGG16 and ResNet Models Subject The topic of the resource Brain Tumor; CNN; Deep Learning; MRI Classification; RESNET; VGG16 Description An account of the resource The comprehension of brain growths is significantly improved through the identification and categorization of these disorders. Still, their discovery is relatively grueling due to their variability in terms of position, shape, and size. Fortunately, deep literacy has revolutionized the field and significantly improved recognition, prediction, and opinion in various healthcare areas, including brain excrescences. The main goal of this study is to thoroughly review exploration that utilizes CNN, VGG16, and RESNET infrastructures to classify brain excrescences using MRI images. The performance of these models varied significantly, with CNN, VGG16, and RESNET achieving an emotional delicacy of 99.6. Additionally, ResNet and VGG16 achieved rigor of 92.4 and 89.7 independently. Likewise, the visualization of the decision-making processes of these models has provided valuable insight into the features they prioritize. By incorporating these models into their practice, healthcare professionals have the opportunity to enhance their individual capabilities, eventually leading to improved patient outcomes. 2024 IEEE. Creator An entity primarily responsible for making the resource Sambandam R.K.; Jyoshna M. Source A related resource from which the described resource is derived Proceedings of InC4 2024 - 2024 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 2024-01-01 Identifier An unambiguous reference to the resource within a given context <a href="https://doi.org/10.1109/InC460750.2024.10649268" target="_blank" rel="noreferrer noopener">https://doi.org/10.1109/InC460750.2024.10649268</a> <a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85203834803&doi=10.1109%2FInC460750.2024.10649268&partnerID=40&md5=14425dee5f057f56e87c956312c67373" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85203834803&doi=10.1109%2fInC460750.2024.10649268&partnerID=40&md5=14425dee5f057f56e87c956312c67373</a> Rights Information about rights held in and over the resource Restricted Access Relation A related resource ISBN: 979-835038365-2 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 Sambandam R.K., Christ University, Dept. of Computer Science and Engineering, Bengaluru, India; Jyoshna M., Christ University, Dept. of 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 Enhancing Industrial Equipment Reliability: Advanced Predictive Maintenance Strategies Using Data Analytics and Machine Learning Description An account of the resource In today's dynamic industrial landscape, optimizing machinery performance and minimizing downtime are paramount for sustained operational excellence. This paper presents advanced predictive maintenance strategies, with a focus on leveraging machine learning and data analytics to enhance the reliability and efficiency of industrial equipment. The study explores the key components of predictive maintenance, including data collection, condition monitoring, predictive models, failure prediction, optimized maintenance scheduling and the extension of equipment longevity. The paper discusses how predictive maintenance aligns with modern industrial paradigms. The study evaluated the performance of five popular forecasting models like Random Forest, Linear Regression, Exponential Smoothing, ARIMA, and LSTM, to estimate maintenance for industrial equipment. The effectiveness of each model was evaluated using a number of performance metrics. The percentage of the variation in the real data that the model can explain is shown by the R-squared number. The lowest MSE, RMSE, and greatest R-squared values indicate a model's accuracy. The study highlights practical implications across diverse industries, showcasing the transformative impact of predictive maintenance on minimizing unplanned downtime, reducing maintenance costs, and maximizing the lifespan of critical machinery. When it comes to predictive maintenance for industrial machinery, the LSTM model has been shown to be the most accurate and efficient model with the highest R-squared value, indicating a better fit and higher predictive ability. As technology continues to evolve, the paper discusses future directions, including the integration of artificial intelligence and advanced analytics, and emphasizes the importance of continuous improvement in refining predictive maintenance strategies for the evolving needs of industries worldwide. 2024 IEEE. Creator An entity primarily responsible for making the resource Vincent M.; Thomas S.; Suresh S.; Prathap B.R. Source A related resource from which the described resource is derived Proceedings of InC4 2024 - 2024 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 2024-01-01 Identifier An unambiguous reference to the resource within a given context <a href="https://doi.org/10.1109/InC460750.2024.10649212" target="_blank" rel="noreferrer noopener">https://doi.org/10.1109/InC460750.2024.10649212</a> <a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85203790167&doi=10.1109%2FInC460750.2024.10649212&partnerID=40&md5=b55778b9a08a8619d475881f60df35d5" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85203790167&doi=10.1109%2fInC460750.2024.10649212&partnerID=40&md5=b55778b9a08a8619d475881f60df35d5</a> Rights Information about rights held in and over the resource Restricted Access Relation A related resource ISBN: 979-835038365-2 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 Vincent M., CHRIST Deemed to be University, Department of Computer Science and Engineering, Bengaluru, India; Thomas S., CHRIST Deemed to be University, Department of Computer Science and Engineering, Bengaluru, India; Suresh S., CHRIST Deemed to be University, Department of Computer Science and Engineering, Bengaluru, India; Prathap B.R., CHRIST Deemed to be University, Department of 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 Impact of AI Technology Disruption on Turnover Intention of Employees in Digital Marketing Subject The topic of the resource AI technology disruption; digital marketing industry; job insecurity; job mobility; turnover intention Description An account of the resource The rapid integration of AI technology into the digital marketing sector has prompted a need to understand its effects on employee perspectives and behaviors. This study investigates how AI adoption influences job insecurity, turnover intention, and job mobility among digital marketing professionals. Addressing concerns about AI rendering roles obsolete is crucial for fostering a supportive work environment. Turnover intention, influenced by AI adoption and potential job dissatisfaction, offers insights into employees' commitment to the industry. Job mobility, influenced by growth prospects and alignment with AI-driven workplaces, sheds light on career aspirations. Our study involving 303 employees of digital marketing industry in India reveals that AI disruption significantly impacts turnover intention, with job insecurity mediating this effect. Additionally, mistreatment by superiors increases turnover intention. Overall, this research underscores the profound impact of AI technology on employees' attitudes, behaviors, and career decisions in digital marketing, providing valuable insights into their perceptions and engagement 2024 IEEE. Creator An entity primarily responsible for making the resource Premnath H.; Lohani R. Source A related resource from which the described resource is derived TQCEBT 2024 - 2nd IEEE International Conference on Trends in Quantum Computing and Emerging Business Technologies 2024 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/TQCEBT59414.2024.10545233" target="_blank" rel="noreferrer noopener">https://doi.org/10.1109/TQCEBT59414.2024.10545233</a> <a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85204431672&doi=10.1109%2FTQCEBT59414.2024.10545233&partnerID=40&md5=557b2618a63e046c8b917ca93d1e979f" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85204431672&doi=10.1109%2fTQCEBT59414.2024.10545233&partnerID=40&md5=557b2618a63e046c8b917ca93d1e979f</a> Rights Information about rights held in and over the resource Restricted Access Relation A related resource ISBN: 979-835038427-7 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 Premnath H., Christ (Deemed to Be University), Pune, India; Lohani R., Christ (Deemed to Be University), 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 MediCrypt: A Model with Symmetric Encryption for Blockchain Enabled Healthcare Data Protection Subject The topic of the resource AES encryption; Blockchain; Blowfish Encryption; Ethereum; SHA256; Smart Contracts Description An account of the resource In the dynamic field of medicine, combining blockchain technology and data security becomes a vital strategy to solve the problem of protecting sensitive medical data. This study presents a new way to improve the security and privacy of medical data, using MediCrypt as an example of two- way encryption. Doctors initially used algorithms like AES or Blowfish to retrieve medical data. Smart contracts on the Ethereum-based blockchain introduce a layer of protection, combining SHA-256 with symmetric encryption technology. The multi-level transmission model includes encryption time, encryption time, elapsed time, and encryption size. Functionality in this model involves managing patient records (EHR), counterfeit drugs, drug reviews, clinical outcomes, and consent for all care areas. As shown in the methodology, the user ecosystem facilitates the exchange of information by defining the roles and responsibilities of doctors/pharmacists, administrators, and patients. The study shows the deployment of the MediCrypt model in three distinct stages. Distinct comparison of encryption time is done for different encryption algorithms. Also, parameters of MediCrypt model is compared with existing healthcare based blockchain models. 2024 IEEE. Creator An entity primarily responsible for making the resource Shruti S.; Alapatt B.; George J. Source A related resource from which the described resource is derived Proceedings of InC4 2024 - 2024 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 2024-01-01 Identifier An unambiguous reference to the resource within a given context <a href="https://doi.org/10.1109/InC460750.2024.10649142" target="_blank" rel="noreferrer noopener">https://doi.org/10.1109/InC460750.2024.10649142</a> <a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85203827407&doi=10.1109%2FInC460750.2024.10649142&partnerID=40&md5=ef8a86bd789bc3bc9176d8648758fdd9" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85203827407&doi=10.1109%2fInC460750.2024.10649142&partnerID=40&md5=ef8a86bd789bc3bc9176d8648758fdd9</a> Rights Information about rights held in and over the resource Restricted Access Relation A related resource ISBN: 979-835038365-2 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 Shruti S., School of Sciences Christ University, Bengaluru, India; Alapatt B., School of Sciences Christ University, Bengaluru, India; George J., School of Sciences Christ University, Bengaluru, India Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Conference Papers Conference Paper Faculty Publications- Conference Papers Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Flight Arrival Delay Prediction Using Deep Learning Subject The topic of the resource Decision Tree; Deep learning; Dense Neural Network; Lasso; NAS; Random Forest; Regression; Ridge; RMSE (Root Mean Square Error) Description An account of the resource This project is aimed to solve the problem of flight delay prediction. This problem does not only affect airlines but it can cause multiple problems in different sectors i.e., commercial (Cargo aviation), passenger aviation, etc. There are a number of reasons why flights can be delayed, with weather being the main one. Our goal in this study is to forecast flight delays resulting from a variety of reasons, such as inclement weather, delayed aircraft, and other issues. The dataset gives itemized data on flight appearances and postponements for U.S. air terminals, classified via transporters. The information incorporates metrics such as the number of arriving flights, delays over 15 minutes, cancellation and diversion counts, and the breakdown of delays attributed to carriers, weather, NAS (National Airspace System), security, and late aircraft arrivals. For the purpose of predicting flight delays, the outcomes of several machine learning algorithms are examined, including Ridge, Lasso, Random Forest, Decision Tree, and Linear regression. With the lowest RMSE score of 0.0024, the Random Forest regressor performed the best across all scenarios. A deep learning model using a dense neural network is built to check how accurate a deep learning model will be while predicting the delay and the result was an RMSE score of 0.1357. 2024 IEEE. Creator An entity primarily responsible for making the resource Sharma N.; Vijayalakshmi S. Source A related resource from which the described resource is derived TQCEBT 2024 - 2nd IEEE International Conference on Trends in Quantum Computing and Emerging Business Technologies 2024 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/TQCEBT59414.2024.10545034" target="_blank" rel="noreferrer noopener">https://doi.org/10.1109/TQCEBT59414.2024.10545034</a> <a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85204419966&doi=10.1109%2FTQCEBT59414.2024.10545034&partnerID=40&md5=0ab5a292931ecb92a53e30341bd3108c" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85204419966&doi=10.1109%2fTQCEBT59414.2024.10545034&partnerID=40&md5=0ab5a292931ecb92a53e30341bd3108c</a> Rights Information about rights held in and over the resource Restricted Access Relation A related resource ISBN: 979-835038427-7 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 Sharma N., Christ (Deemed to Be University), Department of Data Science, Maharashtra, Pune, India; Vijayalakshmi S., Christ (Deemed to Be University), Department of Data Science, Maharashtra, 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 ArcGAN: Generative Adversarial Networks for 3D Architectural Image Generation Subject The topic of the resource Albedo; BiGAN; Conditional image generation; FineGAN; GAN inversion; Generative adversarial networks; MixNMatch; StyleGAN; Unsupervised 3D shape reconstruction Description An account of the resource Due to advancements in infrastructural modulations, architectural design is one of the most peculiar and tedious processes. As the technology evolves to the next phase, using some latest techniques like generative adversarial networks, creating a hybrid architectural design from old and new models is possible with maximum accuracy. Training the model with appropriate samples makes it evident that the designing phase will be simple for even a layman by including proper parameters such as material description, structural engineering, etc. This research paper suggests a hybrid model for an architectural design using generative adversarial networks. For example, merging Romes architectural style with Italys will accurately and precisely recover the pixel-level structure of 3D forms without needing a 2D viewpoint or 3D annotations from a real 2D-generated image. The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2024. Creator An entity primarily responsible for making the resource Ranpara D.; Raghul V.; Devan A.M.; Shukla S. Source A related resource from which the described resource is derived Lecture Notes in Electrical Engineering, Vol-1189 LNEE, pp. 75-85. 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/10.1007/978-981-97-2451-2_7" target="_blank" rel="noreferrer noopener">https://doi.org/10.1007/978-981-97-2451-2_7</a> <a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85204404824&doi=10.1007%2F978-981-97-2451-2_7&partnerID=40&md5=577496a7dd89c2a6ba12c04e428ba4ed" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85204404824&doi=10.1007%2f978-981-97-2451-2_7&partnerID=40&md5=577496a7dd89c2a6ba12c04e428ba4ed</a> Rights Information about rights held in and over the resource Restricted Access Relation A related resource ISSN: 18761100; ISBN: 978-981972450-5 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 Ranpara D., Christ (Deemed to Be University), Karnataka, Bangalore, India; Raghul V., Christ (Deemed to Be University), Karnataka, Bangalore, India; Devan A.M., Christ (Deemed to Be University), Karnataka, Bangalore, India; Shukla S., 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 Approximate Binary Stacking Counters for Error Tolerant Computing Multipliers Subject The topic of the resource Approximate multipliers; carry propagation; Compressors; Multipliers; Stacking counters Description An account of the resource To increase the power and efficiency of VLSI circuits, a new, creative multiplying methodology is required. Multiplication is a crucial arithmetic operation for many of these applications. As a result, the newly proposed error-tolerant computing multiplier is a crucial component in the design of approximate multipliers that are both power and gate efficient. We have created approximative multipliers for several operand lengths using this suggested method and a 45-nm library. Depending on their probability, the approximation for the accumulation of changing partial products varies. In compared to approximate multipliers that were previously given, the proposed circuit produces better results. When column-wise generate elements are added to the modified partial product matrix using an OR gate, the output is usually accurate. The amount of energy used, and its silicon area have been considerably reduced in the suggested multiplier when compared to traditional multipliers by 41.92% and 18.47%, respectively. One of the platforms that these suggested multipliers are suitable for is the image processing application. 2024 IEEE. Creator An entity primarily responsible for making the resource Balamanikandan A.; Ashokkumar N.; Arunraja A.; James Periyanayagam L.; Pereira A.P.; Lobo J.P. Source A related resource from which the described resource is derived 2024 4th International Conference on Intelligent Technologies, CONIT 2024 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/CONIT61985.2024.10626276" target="_blank" rel="noreferrer noopener">https://doi.org/10.1109/CONIT61985.2024.10626276</a> <a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85202765065&doi=10.1109%2FCONIT61985.2024.10626276&partnerID=40&md5=bc2a7cee99dd91550e3b76cc4e839129" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85202765065&doi=10.1109%2fCONIT61985.2024.10626276&partnerID=40&md5=bc2a7cee99dd91550e3b76cc4e839129</a> Rights Information about rights held in and over the resource Restricted Access Relation A related resource ISBN: 979-835034990-0 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 Balamanikandan A., Mohan Babu University((Erstwhile SreeVidyanikethan Engineering College), Electronics and Communication Engineering, Tirupati, India; Ashokkumar N., Mohan Babu University((Erstwhile SreeVidyanikethan Engineering College), Electronics and Communication Engineering, Tirupati, India; Arunraja A., Christ (Deemed to Be University), Electronics and Communication Engineering, Bangalore, India; James Periyanayagam L., Christ (Deemed to Be University), Electronics and Communication Engineering, Bangalore, India; Pereira A.P., Christ (Deemed to Be University), Electronics and Communication Engineering, Bangalore, India; Lobo J.P., Christ (Deemed to Be University), Electronics and Communication 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 Level Shifted Phase Disposition PWM Control for Quadra Boost Multi Level Inverter Subject The topic of the resource LS-PD; MLI; NBSCI; THD Description An account of the resource This article introduces a novel boost switched capacitor Inverter (NBSCI) that significantly advances existing designs. Many recently developed multilevel voltage source inverters stand out for their ability to reduce the number of DC sources while markedly improving voltage levels with fewer switching devices. Building on these advancements, our work proposes an innovative inverter arrangement that, utilizing 1 DC source, eight switches and 3 capacitors, achieves 9-level output voltage waveforms. The increased range of voltage levels facilitates the generation of high-quality sine wave output signals with minimal Total Harmonic Distortion (THD). Also, this work employs Level shifted - Phase Disposition (LS-PD) pulse width modulation techniques to generate gating signals, ensuring the production of superior output waveforms. The article also presents various simulation results conducted using MATLAB-SIMULINK, providing a comprehensive assessment of the proposed configuration's precise effectiveness under diverse modulation index. 2024 IEEE. Creator An entity primarily responsible for making the resource Peter G.; Arun V.; Stonier A.A.; Praghash K.; Jency Rubia J.; Iderus S. Source A related resource from which the described resource is derived 2024 4th International Conference on Intelligent Technologies, CONIT 2024 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/CONIT61985.2024.10626836" target="_blank" rel="noreferrer noopener">https://doi.org/10.1109/CONIT61985.2024.10626836</a> <a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85202774734&doi=10.1109%2FCONIT61985.2024.10626836&partnerID=40&md5=07d2cdc3261a44b0d3ffc5a209d663f3" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85202774734&doi=10.1109%2fCONIT61985.2024.10626836&partnerID=40&md5=07d2cdc3261a44b0d3ffc5a209d663f3</a> Rights Information about rights held in and over the resource Restricted Access Relation A related resource ISBN: 979-835034990-0 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 Peter G., University of Technology, Crisd, School of Engineering and Technology, Sarawak, Malaysia; Arun V., Mohan Babu University, Department of Electrical and Electronics Engineering, India; Stonier A.A., Vellore Institute of Technology, School of Electrical Engineering, Vellore, India; Praghash K., Christ University, Department of Electronics and Communication Engineering, India; Jency Rubia J., Vel Tech Rangarajan Dr.Sagunthala R&d Institute of Science and Technology, Department of Electronics and Communication Engineering, India; Iderus S., University of Technology, Crisd, School of Engineering and Technology, Sarawak, 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 Conference Papers Conference Paper Faculty Publications- Conference Papers Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Blockchain-Enabled Resume Verification: Architectural Innovations for Secure Credential Authentication in the Digital Era Subject The topic of the resource Blockchain Technology; Credential Verification; Decentralized Ledger; Immediate Access; Tamper-evident Description An account of the resource In the contemporary digital landscape, the verification of resume credentials poses a significant challenge, with the integrity of such information being crucial for job seekers and employers alike. This paper presents an avant-garde architectural framework that utilizes blockchain technology to revolutionize the storage, verification, and sharing of resume information, thus ensuring an unparalleled level of security and reliability. Through the implementation of a decentralized ledger that is both immutable and tamper-evident, this innovative architecture facilitates the permanent recording of academic credentials, employment history, and professional accomplishments, thereby enabling immediate and verifiable access for potential employers and educational institutions 2024 IEEE. Creator An entity primarily responsible for making the resource Gupta S.; Sharma R.K. Source A related resource from which the described resource is derived TQCEBT 2024 - 2nd IEEE International Conference on Trends in Quantum Computing and Emerging Business Technologies 2024 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/TQCEBT59414.2024.10545106" target="_blank" rel="noreferrer noopener">https://doi.org/10.1109/TQCEBT59414.2024.10545106</a> <a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85204422060&doi=10.1109%2FTQCEBT59414.2024.10545106&partnerID=40&md5=c43aaa512ff3e58d13f62fd03476cd4d" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85204422060&doi=10.1109%2fTQCEBT59414.2024.10545106&partnerID=40&md5=c43aaa512ff3e58d13f62fd03476cd4d</a> Rights Information about rights held in and over the resource Restricted Access Relation A related resource ISBN: 979-835038427-7 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 Gupta S., Christ University, Bengaluru, India; Sharma R.K., Christ University, Bengaluru, India Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Conference Papers Conference Paper Faculty Publications- Conference Papers Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Characteristic Mode Analysis of Closed Metal Geometric Ring Shapes Subject The topic of the resource bandwidth; multiband; ring-shaped; theory of characteristic modes Description An account of the resource In this study, the characteristic mode theory is used to better explain the physical behavior of a few simple closedshaped geometries. The bandwidth coverage, resonant behavior, and modal current distributions for several ringshaped geometries are shown and discussed. It has been demonstrated that the triangular, rectangular, and square ring geometries can result in multi-band performance, whereas the hexagonal, circular, square, and triangular rings are promising candidates for circularly polarized antenna designs. 2024 IEEE. Creator An entity primarily responsible for making the resource Kumar N.; Sharma N.; Sharma S.; Khanna R.; Koohestani M. Source A related resource from which the described resource is derived Proceedings of InC4 2024 - 2024 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 2024-01-01 Identifier An unambiguous reference to the resource within a given context <a href="https://doi.org/10.1109/InC460750.2024.10649193" target="_blank" rel="noreferrer noopener">https://doi.org/10.1109/InC460750.2024.10649193</a> <a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85203820969&doi=10.1109%2FInC460750.2024.10649193&partnerID=40&md5=6026bdc3c0fac7e8fca85d2126b99096" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85203820969&doi=10.1109%2fInC460750.2024.10649193&partnerID=40&md5=6026bdc3c0fac7e8fca85d2126b99096</a> Rights Information about rights held in and over the resource Restricted Access Relation A related resource ISBN: 979-835038365-2 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 Kumar N., CHRIST University, ECED, RF and Microwave Research Lab, Bengaluru, India; Sharma N., Presidency University, Electronics and Communication Engineering Department, Bengaluru, India; Sharma S., Presidency University, Electronics and Communication Engineering Department, Bengaluru, India; Khanna R., Thapar Institute of Engineering and Technology, Electronics and Communication Engineering Department, Patiala, India; Koohestani M., ESEO School of Engineering, Department of Electrical and Electronic Engineering, Angers, France 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 Prediction Using CNN Architecture and Augmentation Techniques: Analytical Results Subject The topic of the resource Accuracy; Automated Brain Tumor Classification; Brain Tumor Prediction; Classification; CNN; F1 Score; Machine Learning; MobileNet; Supervised Learning Algorithms; VGG-16; Xception Description An account of the resource The brain, a complex organ central to human functioning, is susceptible to the development of abnormal cell growth leading to a condition known as brain cancer. This devastating disease poses unique challenges due to the intricate nature of brain tissue, making accurate and timely diagnosis critical for effective treatment. This research explores automated brain tumor prediction through Convolutional Neural Networks (CNNs) and augmentation techniques. Utilizing a task reused learning approach with the help of VGG-16, Mobile-Net and Xception architecture, the proposed model achieves exceptional accuracy (99.54%, 99.72%) and robust metrics. This Research explores the Augmentation techniques to enhance the precision and accuracy of the model used. The study surveys related models, emphasizing advancements in automated brain tumor classification. Results demonstrate the efficacy of the model, showcasing its potential for real-world applications in medical image analysis. Future directions involve dataset expansion, alternative architectures, and incorporating explanation techniques. This research contributes to the evolving landscape of artificial intelligence in healthcare, offering a promising avenue for accurate and efficient brain tumor diagnosis. 2024 IEEE. Creator An entity primarily responsible for making the resource Mishra S.; Elappila M.; Yogish D. Source A related resource from which the described resource is derived Proceedings of InC4 2024 - 2024 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 2024-01-01 Identifier An unambiguous reference to the resource within a given context <a href="https://doi.org/10.1109/InC460750.2024.10649368" target="_blank" rel="noreferrer noopener">https://doi.org/10.1109/InC460750.2024.10649368</a> <a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85203844977&doi=10.1109%2FInC460750.2024.10649368&partnerID=40&md5=b1551469cb4807f10cb72add283ee4b7" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85203844977&doi=10.1109%2fInC460750.2024.10649368&partnerID=40&md5=b1551469cb4807f10cb72add283ee4b7</a> Rights Information about rights held in and over the resource Restricted Access Relation A related resource ISBN: 979-835038365-2 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 Mishra S., CHRIST(Deemed to be University), Department of Computer Science and Engineering, Bangalore, India; Elappila M., CHRIST(Deemed to be University), Department of Computer Science and Engineering, Bangalore, India; Yogish D., 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 An Outlook on Sustainable Business Practices through Virtual Reality Marketing Subject The topic of the resource Business Practices; Marketing; Presence; Sustainability; Virtual Reality Description An account of the resource Technologies and businesses blend progressively and work towards creating a sustainable future through the company's marketing strategies. The purpose of the study is to find out the various sustainable outcomes of Virtual Reality Marketing (VRM). The exploratory research identified immersive experience, experiential economy, positive image creation, positive travel decisions, and repeat purchase as the constructs of VRM, and a total of 418 people were surveyed to analyze those constructs. The data were analyzed through statistical tests such as t-test, One-way ANOVA, and Chi-square with the help of SPSS software. The study shows a positive relationship between customers and virtual reality marketing. The results predict that businesses that have incorporated VRM tend to likely have a high-profit margin and more sustainable returns compared to their peer competitors. 2024 IEEE. Creator An entity primarily responsible for making the resource Rina Daline T.; Thomas J. Source A related resource from which the described resource is derived International Conference on Science, Engineering and Business for Driving Sustainable Development Goals, SEB4SDG 2024 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/SEB4SDG60871.2024.10630336" target="_blank" rel="noreferrer noopener">https://doi.org/10.1109/SEB4SDG60871.2024.10630336</a> <a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85202943132&doi=10.1109%2FSEB4SDG60871.2024.10630336&partnerID=40&md5=41c3bb161fa4af44ae7f74d0a33c17de" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85202943132&doi=10.1109%2fSEB4SDG60871.2024.10630336&partnerID=40&md5=41c3bb161fa4af44ae7f74d0a33c17de</a> Rights Information about rights held in and over the resource Restricted Access Relation A related resource ISBN: 979-835035815-5 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 Rina Daline T., CHRIST (Deemed to Be University), Tourism, Bangalore, India; Thomas J., 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 Towards a Model: Examining the Positive Associations of Warmth, Competence, and Familiarity with Musicians' Attitudes Towards AI Subject The topic of the resource Attitudes towards AI; Competence; Familiarity; Importance-Performance Analysis; PLS-SEM; Predictive Validity; Warmth Description An account of the resource This study investigates attitudes towards AI musicians through a Partial Least Squares Structural Equation Modeling (PLS-SEM) approach. Data analysis focuses on the interplay between Anthropomorphism Degree (AD), Listening Type (LT), Warmth (W), Competence (C), Attitude (A), and Familiarity (F). The sample comprises 211 valid responses from college students, exploring perceptions via a questionnaire. Results indicate significant positive associations between attitudes towards AI and Competence, Familiarity, and Warmth. However, predictive validity analysis suggests caution in relying solely on the PLS-SEM model. Importance-Performance Analysis (IPMA) highlights competence as the primary influencer of attitudes towards AI, emphasizing its critical role over Warmth and Familiarity. This study contributes to understanding the nuanced dimensions of human interactions with AI musicians. 2024 IEEE. Creator An entity primarily responsible for making the resource Kunnumpurath B.; Menon V.A.; Ashique Ali K.A.; Paul A. Source A related resource from which the described resource is derived Proceedings of InC4 2024 - 2024 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 2024-01-01 Identifier An unambiguous reference to the resource within a given context <a href="https://doi.org/10.1109/InC460750.2024.10649118" target="_blank" rel="noreferrer noopener">https://doi.org/10.1109/InC460750.2024.10649118</a> <a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85203807488&doi=10.1109%2FInC460750.2024.10649118&partnerID=40&md5=6d0da586f4daaec2a108f18db175bb48" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85203807488&doi=10.1109%2fInC460750.2024.10649118&partnerID=40&md5=6d0da586f4daaec2a108f18db175bb48</a> Rights Information about rights held in and over the resource Restricted Access Relation A related resource ISBN: 979-835038365-2 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 Kunnumpurath B., Christ University, Department of Media Studies, Bengaluru, India; Menon V.A., Kristu Jayanti College (Autonomous), Department of Media Studies, Bengaluru, India; Ashique Ali K.A., Central University of Tamil Nadu, Department of Commerce, Thiruvarur, India; Paul A., Christ University, Department of Media Studies, 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 Real-Time Cyber-Physical Risk Management Leveraging Advanced Security Technologies Subject The topic of the resource Accuracy; IoT security; Machine learning; Performance metrics; Precision Description An account of the resource Conducting an in-depth study on algorithms addressing the interaction problem in the fields of machine learning and IoT security involves a meticulous evaluation of performance measures to ensure global reliability. The study examines key metrics such as accuracy, precision, recall, and F1 scores across ten scenarios. The highly competitive algorithms showcase accuracy rates ranging from 95.5 to 98.2%, demonstrating their ability to perform accurately in various situations. Precision and recall measurements yield similar information about the model's capabilities. The achieved balance between accuracy and recovery, as determined by the F1 tests ranging from 95.2 to 98.0%, emphasizes the practical importance of data transfer in the proposed method. Numerical evaluation, in addition to an analysis of overall performance metrics, provides a comprehensive understanding of the algorithm's performance and identifies potential areas for improvement. This research leads to advancements in the theoretical vision of machine learning for IoT protection. It offers real-world insights into the practical use of robust models in dynamically changing situations. As the Internet of Things environment continues to evolve, the study's results serve as crucial guides, laying the foundation for developing strong and effective security systems in the realm of interaction between virtual and material reality. The Author(s) 2024. Creator An entity primarily responsible for making the resource Poonia R.C.; Upreti K.; Alapatt B.P.; Jafri S. Source A related resource from which the described resource is derived Lecture Notes in Networks and Systems, Vol-1011 LNNS, pp. 339-350. 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/10.1007/978-981-97-4581-4_25" target="_blank" rel="noreferrer noopener">https://doi.org/10.1007/978-981-97-4581-4_25</a> <a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85202602687&doi=10.1007%2F978-981-97-4581-4_25&partnerID=40&md5=8a02527ce7f77d3a15d8c905270c80e8" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85202602687&doi=10.1007%2f978-981-97-4581-4_25&partnerID=40&md5=8a02527ce7f77d3a15d8c905270c80e8</a> Rights Information about rights held in and over the resource Restricted Access Relation A related resource ISSN: 23673370; ISBN: 978-981974580-7 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 Poonia R.C., Department of Computer Science, Christ University, Delhi NCR, Ghaziabad, India; Upreti K., Department of Computer Science, Christ University, Delhi NCR, Ghaziabad, India; Alapatt B.P., Department of Computer Science, Christ University, Delhi NCR, Ghaziabad, India; Jafri S., Administrative Science Department, Imam Abdulrahman Bin Faisal University, Dammam, Saudi Arabia 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 Priority-driven Unbalanced Transportation Problem (PUTP) to obtain better Initial Feasible Solution Subject The topic of the resource PPUTP; Priority-driven Unbalanced Transportation Problem; VAM Description An account of the resource In this paper, we tackle the Priority-driven Unbalanced Transportation Problem (PUTP), a scenario where total demand exceeds total supply. An innovative algorithm, the Penalty-driven Priority-driven Unbalanced Transportation Problem (PPUTP) is introduced to solve this challenge. PPUTP allocates supplies to high-priority demands by computing penalties and sequentially addressing the most penalized demands, thereby ensuring priority demands are met efficiently. A comparative analysis with Vogel's Approximation Method (VAM) across various problem sets ranging from 5x5 to 50x50 dimensions demonstrates the efficiency of our algorithms. PPUTP consistently shows lower percentage increments from the optimal solution, indicating its robustness in providing near-optimal solutions. This study highlights the importance of algorithm selection based on problem set dimensions and complexity in Priority-driven Unbalanced Transportation Problem, with PPUTP emerging as a versatile and robust solution across various scenarios. 2024 IEEE. Creator An entity primarily responsible for making the resource Arif A.S.; Babu M.A.; Khan A.R.; Islam M.N.; Uddin M.S.; Poonia R.C. Source A related resource from which the described resource is derived Proceedings of InC4 2024 - 2024 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 2024-01-01 Identifier An unambiguous reference to the resource within a given context <a href="https://doi.org/10.1109/InC460750.2024.10649090" target="_blank" rel="noreferrer noopener">https://doi.org/10.1109/InC460750.2024.10649090</a> <a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85203814159&doi=10.1109%2FInC460750.2024.10649090&partnerID=40&md5=e630a697e3100f13011f46cbdcc94201" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85203814159&doi=10.1109%2fInC460750.2024.10649090&partnerID=40&md5=e630a697e3100f13011f46cbdcc94201</a> Rights Information about rights held in and over the resource Restricted Access Relation A related resource ISBN: 979-835038365-2 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 Arif A.S., Jahangirnagar University, Department of Mathematics, Dhaka, Savar, Bangladesh; Babu M.A., Independent University Bangladesh, Department of Physical Sciences, Dhaka, 1229, Bangladesh; Khan A.R., Jahangirnagar University, Department of Mathematics, Dhaka, Savar, Bangladesh; Islam M.N., Prince Sattam bin Abdulaziz University, Department of Industrial Engineering, Al Kharj, 11942, Saudi Arabia; Uddin M.S., CHRIST (Deemed to be University), Department of Computer Science, Delhi NCR, 201003, India; Poonia R.C., CHRIST (Deemed to be University), Department of Computer Science, Delhi NCR, 201003, 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 Antecedents of Ethical Goods and Services Tax Culture among young adults - Special Reference to Maharashtra and Karnataka Subject The topic of the resource Acceptance of GST Tax System; GST Evasion; GST Tax Culture; Understanding GST; Unorganised Retail Sector Description An account of the resource Since the implementation of the Goods and Services Tax (GST) in 2017, it has become clear that this new Indian indirect tax system is here to stay. The Indian GST Council is continuously deliberating and making efforts to improve GST revenue collection at the state and central levels. The focus is now on the young adults in the country who will play a vital role in shaping the future of GST compliance. Their tax mentality and behaviour in contributing to GST revenue as daily consumers will determine the ethical tax culture in India. They need to understand how crucial their role is in discouraging evasive practices by sellers in the unorganised retail sector at the point of sale. The study utilized structural equation modelling to test the acceptability of the model. The process was supported by a structured questionnaire, with 324 respondents between the age group of 17-30 years. Understanding GST significantly influences acceptance of GST as a tax system, however, the acceptance of the GST tax system does not significantly lead to young adults discouraging the evasive behaviour of sellers in the unorganised retail sector at the point of sale. And, finally, the discouragement of evasive behaviour by young adults does influence the possibility of an ethical GST tax culture. The respondents majorly represented young adults between 17-20 years of age. The model has not measured the existence of covariance among the variables, nor has any mediating or moderating factors been identified, as GST tax culture in the Indian context is still unexplored and GST in itself is relatively new in the country. 2024 IEEE. Creator An entity primarily responsible for making the resource Monica L.; Parameswaran S. Source A related resource from which the described resource is derived TQCEBT 2024 - 2nd IEEE International Conference on Trends in Quantum Computing and Emerging Business Technologies 2024 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/TQCEBT59414.2024.10545148" target="_blank" rel="noreferrer noopener">https://doi.org/10.1109/TQCEBT59414.2024.10545148</a> <a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85204431452&doi=10.1109%2FTQCEBT59414.2024.10545148&partnerID=40&md5=de292cb00fd07394f326d7105f862e50" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85204431452&doi=10.1109%2fTQCEBT59414.2024.10545148&partnerID=40&md5=de292cb00fd07394f326d7105f862e50</a> Rights Information about rights held in and over the resource Restricted Access Relation A related resource ISBN: 979-835038427-7 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 Monica L., School of Business and Management, Christ (Deemed to Be University), Pune, India; Parameswaran S., School of Business and Management, Christ (Deemed to Be University), Pune, India