82 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 An exploration of the impact of Feature quality versus Feature quantity on the performance of a machine learning model Subject The topic of the resource Deep Learning; Feature engineering; Machine Learning Description An account of the resource About 0.62 trillion bytes of data are generated every hour globally. These figures have been increasing as a result of digitalization and social networks. Some data ecosystems capture, store, and manage this big DATA. The basis is to be able to analyze their information and extract their value. This fact is a gold mine for companies researching and using this data. This leads us to follow how essential and valuable data is in this growing age. For any machine learning model, the selection of data is necessary. In this paper, several experiments have been performed to check the importance of data quality vs. data quantity on model performance. This clearly indicates comparing the data's richness regarding feature quality (e.g., features in images) and the amount of data for any machine learning model. Images are classified into two sets based on features, then removing redundant features from them, then training a machine learning model. Model getting trained with non-redundant data gives highest accuracy (>80%) in all cases versus the one with all features, proving the importance of feature variability and not just the feature count. 2023 IEEE. Creator An entity primarily responsible for making the resource Bhayani K.; Tanna D.; Maan V.; Dhiraj; Kumar S. Source A related resource from which the described resource is derived Proceedings of IEEE InC4 2023 - 2023 IEEE International Conference on Contemporary Computing and Communications Publisher An entity responsible for making the resource available Institute of Electrical and Electronics Engineers Inc. Date A point or period of time associated with an event in the lifecycle of the resource 2023-01-01 Identifier An unambiguous reference to the resource within a given context <a href="https://doi.org/10.1109/InC457730.2023.10262824" target="_blank" rel="noreferrer noopener">https://doi.org/10.1109/InC457730.2023.10262824</a> <a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85174689535&doi=10.1109%2FInC457730.2023.10262824&partnerID=40&md5=5c0038dfc9cb8bb2900a8db5696bfb81" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85174689535&doi=10.1109%2fInC457730.2023.10262824&partnerID=40&md5=5c0038dfc9cb8bb2900a8db5696bfb81</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 Bhayani K., Birla Institute of Technology and Science, Rajasthan, Pilani, India; Tanna D., Birla Institute of Technology and Science, Rajasthan, Pilani, India; Maan V., Mody University, Department of Computer Science, Rajasthan, Sikar, India; Dhiraj, CSIR-CEERI, Rajasthan, Pilani, India; Kumar S., CHRIST (Deemed to Be University), Department of Computer Science and Engineering, Bangalore, India Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource 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 An exploratory study of Python's role in the advancement of cryptocurrency and blockchain ecosystems Description An account of the resource Blockchain is the foundation of cryptocurrency and enables decentralized transactions through its immutable ledger. The technology uses hashing to ensure secure transactions and is becoming increasingly popular due to its wide range of applications. Python is a performant, secure, scalable language well-suited for blockchain applications. It provides developers free tools for faster code writing and simplifies crypto analysis. Python allows developers to code blockchains quickly and efficiently as it is a completely scripted language that does not require compilation. Different models such as SVR, ARIMA, and LSTM can be used to predict cryptocurrency prices, and many Python packages are available for seamlessly pulling cryptocurrency data. Python can also create one's cryptocurrency version, as seen with Facebook's proposed cryptocurrency, Libra. Finally, a versatile and speedy language is needed for blockchain applications that enable chain addition without parallel processing, so Python is a suitable choice. 2023, IGI Global. All rights reserved. Creator An entity primarily responsible for making the resource Gupta A.; Arulkumar N. Source A related resource from which the described resource is derived Advanced Applications of Python Data Structures and Algorithms, pp. 236-252. Publisher An entity responsible for making the resource available IGI Global 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/10.4018/978-1-6684-7100-5.ch012" target="_blank" rel="noreferrer noopener">https://doi.org/10.4018/978-1-6684-7100-5.ch012</a> <a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85167767725&doi=10.4018%2F978-1-6684-7100-5.ch012&partnerID=40&md5=1185b5903d3f122f48fc7675ac14f199" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85167767725&doi=10.4018%2f978-1-6684-7100-5.ch012&partnerID=40&md5=1185b5903d3f122f48fc7675ac14f199</a> Rights Information about rights held in and over the resource Restricted Access Relation A related resource ISBN: 978-166847102-9; 978-166847100-5 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 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 Gupta A., CHRIST University (Deemed), India; Arulkumar N., CHRIST University (Deemed), India https://archives.christuniversity.in/files/original/cbb5756f3664afd0dee4005a9252325f.pdf 7541e8764b0057ff1bb0e3c493fa3744 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 MASTERS Masters' Dissertation Masters Dissertation 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 exploratory study on video marketing as a new tool of advertising in digital marketing / Creator An entity primarily responsible for making the resource Sekhar, Shobana. - 1324048 Date A point or period of time associated with an event in the lifecycle of the resource 2015-02-07 Source A related resource from which the described resource is derived Master of Science in Communication Subject The topic of the resource Media Studies Description An account of the resource The rate at which New Media technologies are on the rise, directs us to the question how they affect the media business. In areas such as advertising, innovation come and go, resulting in marketing business development, at a faster pace. Today, the cutting edge technology of Video marketing had entered the advertising industry. Consumers are more mobile than ever before and advertisers want to get in touch with them while on the go. Amid all the new developments, video marketing is more and more essential for commodities and services. Publisher An entity responsible for making the resource available CHRIST (Deemed To Be University) Contributor An entity responsible for making contributions to the resource Department of Media Studies 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 Masters Dissertation 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 Reviews Review Faculty Publications- Reviews 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 extensive critique on expert system control in solar photovoltaic dominated microgrids Subject The topic of the resource artificial intelligence; dynamics; learning (artificial intelligence); machine learning; mathematics computing; power system; power system analysis computing; power system dynamic stability; soft computing; stability Description An account of the resource Solar and wind power have recently become a potential option in power systems and act significantly to meet load penetration demands. The present growth of such renewable energy sources has shown an exponential increase. The high penetration of such system helps a grid effectively meet its load in an irregular demand but also creates some disturbances in the grid due to frequent additions and detachments of load or source. The way by which the renewable energy sources usually work in the on-grid mode is to be attached to and cut down from the grids without creating disturbances in a stable grid. Another important requirement is effective load management with fewer transmission losses. This article presents a detailed review of a microgrid and enumerates the possible methods for the analysis of the system, feature extraction, control methods, and options for machine learning. This paper examines the factors affecting the operations in a power system, their nature, interdependability, and controllability. It also inspects the various machine learning algorithms, their feasibility, and possible applications in power systems. The major contribution of the paper is the elucidation of expert system control methods for the performance improvement of solar PV assisted DC microgrids. The major objective of the paper is to provide an overview on various algorithms intended for the microgrid systems pertaining to its accuracy, precision, classification, prediction and forecasting. 2023 The Authors. IET Renewable Power Generation published by John Wiley & Sons Ltd on behalf of The Institution of Engineering and Technology. Creator An entity primarily responsible for making the resource Sarin C.R.; Mani G.; Stonier A.A.; Peter G.; Kumaresan P.; Ganji V. Source A related resource from which the described resource is derived IET Renewable Power Generation Publisher An entity responsible for making the resource available John Wiley and Sons 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/10.1049/rpg2.12875" target="_blank" rel="noreferrer noopener">https://doi.org/10.1049/rpg2.12875</a> <a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85175172468&doi=10.1049%2Frpg2.12875&partnerID=40&md5=b727c8cdece32e4634b4d7877c7d8515" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85175172468&doi=10.1049%2frpg2.12875&partnerID=40&md5=b727c8cdece32e4634b4d7877c7d8515</a> Rights Information about rights held in and over the resource All Open Access; Gold Open Access Relation A related resource ISSN: 17521416 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 Review Coverage The spatial or temporal topic of the resource, the spatial applicability of the resource, or the jurisdiction under which the resource is relevant Sarin C.R., Academic Manager and SME, Miles Education, Kerala, Ernakulam, India; Mani G., Department of Control and Automation, Vellore Institute of Technology, Vellore, India; Stonier A.A., School of Electrical Engineering, Vellore Institute of Technology, Vellore, India; Peter G., CRISD, School of Engineering and Technology, University of Technology Sarawak, Sibu, Malaysia; Kumaresan P., Department of Electronics and Communication Engineering, Christ University, Bengaluru, India; Ganji V., Department of Electrical & Computer Engineering, Debre Tabor University, Amhara, Debre Tabor, Ethiopia 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 Reviews Review Faculty Publications- Reviews 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 extensive review on transition metal catalyzed indole C[sbnd]H activation: Catalyst selection and mechanistic insights Subject The topic of the resource Antiviral drugs; Catalyst; CH activation of indoles; Iridium; Palladium; Rhodium; Ruthenium and manganese Description An account of the resource The present review article explores the expansive synthetic methodologies facilitated by C[sbnd]H activation of indoles using transition metal catalysts. The strategic utilization of catalysts such as palladium, rhodium, iridium, ruthenium, and manganese has revolutionized organic synthesis by enabling selective alkynylation, acylation, and annulation reactions. These transformations are pivotal in pharmaceuticals, particularly in the synthesis of antihistamines and potential antiviral drugs against SARS-CoV-2. Additionally, these catalysts play a crucial role in perfumery and other chemical industries, enhancing the efficiency and precision of compound synthesis. The choice of transition metal catalysts is informed by their affordability and compatibility with both traditional analytical methods and innovative techniques like microwave synthesis and LED irradiation. Furthermore, this review underscores the interdisciplinary impact of transition metal-catalyzed C[sbnd]H activation on indoles, highlighting its significance in advancing both fundamental organic chemistry and applied sciences essential for modern technological advancements and drug discovery efforts. 2024 The Author(s) Creator An entity primarily responsible for making the resource Ann Mary C.J.; Vasudevan D.; Nagarajan P.; Suhas S.; Vijayan A.; Radhakrishnan K.V.; Sudhakar Y.N. Source A related resource from which the described resource is derived Polyhedron, Vol-264 Publisher An entity responsible for making the resource available Elsevier 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/10.1016/j.poly.2024.117260" target="_blank" rel="noreferrer noopener">https://doi.org/10.1016/j.poly.2024.117260</a> <a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85207075188&doi=10.1016%2Fj.poly.2024.117260&partnerID=40&md5=7efa5f7135ccf6e7488423cd0e34de08" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85207075188&doi=10.1016%2fj.poly.2024.117260&partnerID=40&md5=7efa5f7135ccf6e7488423cd0e34de08</a> Rights Information about rights held in and over the resource All Open Access; Hybrid Gold Open Access Relation A related resource ISSN: 2775387; CODEN: PLYHD 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 Review Coverage The spatial or temporal topic of the resource, the spatial applicability of the resource, or the jurisdiction under which the resource is relevant Ann Mary C.J., Department of Chemistry, Christ University, Hosur Road, Karnataka, Bengaluru, 560029, India; Vasudevan D., Department of Chemistry, Christ University, Hosur Road, Karnataka, Bengaluru, 560029, India; Nagarajan P., Department of Chemistry, Christ University, Hosur Road, Karnataka, Bengaluru, 560029, India; Suhas S., Department of Chemistry, Christ University, Hosur Road, Karnataka, Bengaluru, 560029, India; Vijayan A., Department of Chemistry, Christ University, Hosur Road, Karnataka, Bengaluru, 560029, India; Radhakrishnan K.V., CSIR- National Institute for Interdisciplinary Science and Technology, Industrial Estate P. O., Thiruvananthapuram, 695019, India; Sudhakar Y.N., Department of Chemistry, Manipal Institute of Technology, Manipal Academy of Higher Education, Karnataka, Manipal, 576104, 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 An Extensive Time Series Analysis of Covid-19 Data Sets on the Indian States Subject The topic of the resource Covid-19; Pandemic control; SIR model; Socio-economic impacts Description An account of the resource Pandemic influenza coronavirus is causing a great loss to mankind. It is creating a chaos on the global economy. Fight against this unseen enemy is affecting all the sectors of the global economy. Mankind is quivering with fear and scared to do something. This study gives a detailed presentation of the current position of virus escalation in India. Sentiment analytics from Twitter data is evaluated on sentiment, emotions and fear opinions are analyzed in the study. The analysis is on red, orange and green zones in several states of India and also gave a comprehensive interpretation on various phases of lockdown. Confirmed, active, recovered and deceased cases in all states are modeled to predict the increase of number of cases. Textual, geographical and graphical analytics are extensively described in the research study. Time series analysis is broadly elaborated as a case study till July 22, 2020, forecasting the impact of virus on Maharashtra, Kerala, Gujarat, Delhi and Tamil Nadu. This study will favor the administrative system to control the disease spread across the nation. 2021, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. Creator An entity primarily responsible for making the resource Lakshmi J.V.N.; Bhagat V. Source A related resource from which the described resource is derived Infosys Science Foundation Series in Mathematical Sciences, pp. 577-598. 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/10.1007/978-981-16-2450-6_27" target="_blank" rel="noreferrer noopener">https://doi.org/10.1007/978-981-16-2450-6_27</a> <a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85117603039&doi=10.1007%2F978-981-16-2450-6_27&partnerID=40&md5=bdc0af210487f8c4c67dd982ac5f771c" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85117603039&doi=10.1007%2f978-981-16-2450-6_27&partnerID=40&md5=bdc0af210487f8c4c67dd982ac5f771c</a> Rights Information about rights held in and over the resource Restricted Access Relation A related resource ISSN: 23644036 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 Lakshmi J.V.N., JAIN (Deemed to be University), Bangalore, India; Bhagat V., CHRIST (Deemed to be University), Bangalore, India Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Conference Papers Conference Paper Faculty Publications- Conference Papers Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource An Human Islet Cell RNA-Seq for Genome-Wide Genotype Deepsec Framework Using Deep Learning Based Diabetes Prediction Subject The topic of the resource CNN; Deep Learning; Diabetes mellitus (DM); ENCODE; epigenomic; FACS; GWAS Description An account of the resource Evaluating the tissues responsible for complicated human illnesses is important to rank significance of genetic revision connected to features. In order to make predictions about the regulatory functions of geneticsvariations athwart wide range of epigenetic changes, this article introduces a Convolutional neural network (CNN) model upgraded filters and Deepsec framework incorporated with comprehensive ENCODE and Roadmap consortia have compiled a human epigenetic map that indicates specificity to certain tissues or cell types. Deepsec framework integrates transcription factors, histone modification markers, and RNA accessibility maps to comprehensively evaluate the consequences of non-coding alterations on the most important components, even for uncommon variations or novel mutations. By using trait-associated loci and more than 30 different human pancreatic islets and their subsets of cells sorted using fluorescence-activated cell sorting, annotations of epigenetic profiling were obtained (FACS) on a genome-wide scale. The proposed model, used '1492' publicly available GWAS datasets. My team presented that deepsec framework does epigenetic annotations found important GWAS associations and uncover regulatory loci from background signals when exposed to CNN-based analysis, offering fresh intuition underlying nadir causes of type 2diabetes. The suggested approaches are anticipated to be extensively used in downstream GWAS analysis, making it possible to assess non-coding variations and conduct downstream GWAS analysis 2023 IEEE. Creator An entity primarily responsible for making the resource Padmaja K.; Mukhopadhyay D. Source A related resource from which the described resource is derived 2023 International Conference on Network, Multimedia and Information Technology, NMITCON 2023 Publisher An entity responsible for making the resource available Institute of Electrical and Electronics Engineers Inc. Date A point or period of time associated with an event in the lifecycle of the resource 2023-01-01 Identifier An unambiguous reference to the resource within a given context <a href="https://doi.org/10.1109/NMITCON58196.2023.10276014" target="_blank" rel="noreferrer noopener">https://doi.org/10.1109/NMITCON58196.2023.10276014</a> <a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85175398757&doi=10.1109%2FNMITCON58196.2023.10276014&partnerID=40&md5=216f1165d6765a6531806be3dceebc8c" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85175398757&doi=10.1109%2fNMITCON58196.2023.10276014&partnerID=40&md5=216f1165d6765a6531806be3dceebc8c</a> Rights Information about rights held in and over the resource Restricted Access Relation A related resource ISBN: 979-835030082-6 Format The file format, physical medium, or dimensions of the resource Online Language A language of the resource English Type The nature or genre of the resource Conference paper Coverage The spatial or temporal topic of the resource, the spatial applicability of the resource, or the jurisdiction under which the resource is relevant Padmaja K., Christ (Deemed to Be University), Department of Cse, Bangalore, India; Mukhopadhyay D., Christ (Deemed to Be University), Department of Cse, Bangalore, India Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource 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 hybrid technique for optimized clustering of EHR using binary particle swarm and constrained optimization for better performance in prediction of cardiovascular diseases Subject The topic of the resource Binary particle swarm optimization (BPS); CVD; EHRs; LSTM and Centroid based clustering; Machine learning Description An account of the resource The significant adoption of Electronic Health Records (EHR) in healthcare has furnished large new quantities of information for statistical machine gaining knowledge of researchers in their efforts to version and expects affected person health popularity, doubtlessly permitting novel advances in treatment. Unsupervised system learning is the project of studying styles in facts where no labels are present. In comparison to loads of optimization problems, an most beneficial clustering end result does not exist. One-of-a-kind algorithms with special parameters produce special clusters, and none can be proved to be the quality answer given that numerous good walls of the records might be found. In the previous work, a novel Two-fold clustering technique which uses the Long Short Term Memory (LSTM) technique (TFC: LSTM) for the prediction of Cardiovascular Disease (CVD) was proposed. The proposed model was fond to be experimentally efficient; however when applied to large EHR data, the model suffered from optimization issues on the number of clusters formed and time complexity. In order to overcome the drawbacks, this paper proposes a hybrid method of optimization using the Binary Particle Swarm (BPS) and Constrained Optimization (CO) for optimizing the number of clusters produced and to increase the efficiency in terms of decreasing the time complexity. 2022 The Authors Creator An entity primarily responsible for making the resource R D.M.; Kuwelkar S.; Sivakumar R. Source A related resource from which the described resource is derived Measurement: Sensors, Vol-25 Publisher An entity responsible for making the resource available Elsevier Ltd 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/10.1016/j.measen.2022.100577" target="_blank" rel="noreferrer noopener">https://doi.org/10.1016/j.measen.2022.100577</a> <a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85144306334&doi=10.1016%2Fj.measen.2022.100577&partnerID=40&md5=dadf140f536f8db11a7d06274c2cd863" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85144306334&doi=10.1016%2fj.measen.2022.100577&partnerID=40&md5=dadf140f536f8db11a7d06274c2cd863</a> Rights Information about rights held in and over the resource All Open Access; Gold Open Access Relation A related resource ISSN: 26659174 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 R D.M., Lean Operations and Systems, School of Business and Management, CHRIST (Deemed to be University), Bangalore, India; Kuwelkar S., Electronics and Telecommunications Department, Goa College of Engineering, Goa, Farmagudi, India; Sivakumar R., Department of Computer Science, 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 An iconic turn in philosophy Description An account of the resource [No abstract available] Creator An entity primarily responsible for making the resource Thaliath B. Source A related resource from which the described resource is derived Journal of Dharma, Vol-34, No. 2, pp. 153-167. Date A point or period of time associated with an event in the lifecycle of the resource 2009-01-01 Identifier An unambiguous reference to the resource within a given context <a href="" target="_blank" rel="noreferrer noopener"></a> <a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-77951728623&partnerID=40&md5=8fb2a18f83dc75b66b0cd46099984b79" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-77951728623&partnerID=40&md5=8fb2a18f83dc75b66b0cd46099984b79</a> Rights Information about rights held in and over the resource Restricted Access Relation A related resource ISSN: 2537222 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 Thaliath B., 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 An ICT-integrated Modular Training Program Enhancing the Digital Research Skills of Research Scholars Subject The topic of the resource Digital Competence; Digital-Research Skills; Modular Training; Research Scholars Description An account of the resource The teaching profession in higher education demands strong research skills, and with rapid technological advancements, university teaching professionals must familiarize themselves with digital research skills. Thus, university teachers and PhD research scholars across the globe are eager to develop their digital research skills to enhance their work efficiency. Acquiring digital research skills on the job or during the PhD program has proven to be challenging. These skills assist higher education professionals in various ways, such as supervising doctoral students, conducting research, working on research projects, and publishing research articles. Thus, the present study attempted to provide ICT-integrated modular training (MT) to facilitate the higher education teaching faculty and PhD scholars with digital research skills. The study employed a repeated cross-sectional research design and measured the effectiveness of the MT through a single group pre and post-test design. Researchers conducted three modular training sessions annually on digital research skills over five consecutive years. In total, 300 scholars attended the training and participated in the pre-test, post-test, and satisfaction survey. Findings from paired sample t-tests (t-value varied between 4.117 to 7.525, p < 0.05) revealed that modular training has been significantly effective with a large effect size (d > 0.8). Furthermore, the satisfaction survey revealed a high degree of satisfaction among participants. Future research may explore ways to strengthen the technological and pedagogical content knowledge of modular training programs in developing digital research skills. Italian e-Learning Association. Creator An entity primarily responsible for making the resource Prakasha G.S.; Coblentz C.R.; Muthukrishnan P.; Kenneth A. Source A related resource from which the described resource is derived Journal of E-Learning and Knowledge Society, Vol-20, No. 3, pp. 26-38. Publisher An entity responsible for making the resource available Italian e-Learning Association 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/10.20368/1971-8829/1135998" target="_blank" rel="noreferrer noopener">https://doi.org/10.20368/1971-8829/1135998</a> <a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85213319252&doi=10.20368%2F1971-8829%2F1135998&partnerID=40&md5=e672dc3bfdee670565be078eb916f171" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85213319252&doi=10.20368%2f1971-8829%2f1135998&partnerID=40&md5=e672dc3bfdee670565be078eb916f171</a> Rights Information about rights held in and over the resource Restricted Access Relation A related resource ISSN: 18266223 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 Prakasha G.S., Christ University, School of Education, Bangalore, India; Coblentz C.R., University of Mount Union, School of Education, Ohio, United States; Muthukrishnan P., INTI International University, Faculty of Education and Liberal arts, Negeri Sembilan, Malaysia; Kenneth A., Christ University, School of Education, 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 An ideal MBA syllabus model -An Indian perspective / Subject The topic of the resource Master of Business Administration Description An account of the resource Sumedha Journal of Management, Vol.8, Issue 1, pp.155-173, ISSN No: 2277-6753. Creator An entity primarily responsible for making the resource Manohar Kapse Source A related resource from which the described resource is derived <a href="https://www.indianjournals.com/ijor.aspx?target=ijor:sjm&volume=8&issue=1&article=013" target="_blank" title="An ideal MBA syllabus model -An Indian perspective" rel="noreferrer noopener">https://www.indianjournals.com/ijor.aspx?target=ijor:sjm&volume=8&issue=1&article=013</a> Publisher An entity responsible for making the resource available CMRCET Date A point or period of time associated with an event in the lifecycle of the resource 2019-12-29 Language A language of the resource English Type The nature or genre of the resource Journal Article 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 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 An impact of AI and client acquisition strategies in real capital ventures Description An account of the resource In the contemporary business environment, marked by rapid changes, client acquisition stands out as a pivotal factor for companies aiming at sustained growth, particularly in sectors such as finance and real estate. The ability to attract and retain clients is not only a measure of a company"s current success but also a fundamental driver for its future viability. This study focuses on Real Capital Ventures LLP, a company operating at the intersection of finance and real estate, aiming to unravel the intricacies of its client acquisition strategies. The overarching goal is to conduct an exhaustive examination of the current approaches employed by the firm and provide nuanced recommendations for refinement. By doing so, the study aspires to contribute to the enhancement of the effectiveness of Real Capital Ventures LLP"s client acquisition, ensuring its continued success in a fiercely competitive market. 2024 by IGI Global. All rights reserved. Creator An entity primarily responsible for making the resource Dhanabagiyam S.; Srihari B. Source A related resource from which the described resource is derived Integrating RegTech Solutions for Industry 4.0, pp. 158-170. Publisher An entity responsible for making the resource available IGI Global 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/10.4018/979-8-3693-3322-8.ch008" target="_blank" rel="noreferrer noopener">https://doi.org/10.4018/979-8-3693-3322-8.ch008</a> <a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85204518015&doi=10.4018%2F979-8-3693-3322-8.ch008&partnerID=40&md5=c74c1c18a411f9eb22a5f1b2773de021" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85204518015&doi=10.4018%2f979-8-3693-3322-8.ch008&partnerID=40&md5=c74c1c18a411f9eb22a5f1b2773de021</a> Rights Information about rights held in and over the resource Restricted Access Relation A related resource ISBN: 979-836933323-5; 979-836933322-8 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 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 Dhanabagiyam S., NSB Academy, India; Srihari B., Christ 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 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 An impact of antibacterial efficacy of metal oxide nanoparticles: A promise for future Subject The topic of the resource Cytotoxic; Degradable; Metal oxide nanoparticles; Microbial resistance Description An account of the resource Since its advent, nanotechnology has seen applications in diverse fields including the biomedical domain. Many metal oxide nanoparticles (NP) have shown good antimicrobial properties. Their small size and ability to inhibit a broad spectrum of bacterial species have made them promising candidates in our search of antimicrobial agents. Since, they don't target a specific protein in a microbial species, the chances of the microbe gaining resistance is also less. This is indeed a great advantage over antibiotics, most of which target specific proteins of bacteria. Most of the pathogenic bacteria have gained resistance against commonly used antibiotics. In this context there is a dire need of antimicrobials with a broader spectrum of action. Metal oxide nanoparticles like: ZnO NPs and CuO NPs easily fit into this category. They can suppress microbial growth by reactive oxygen species production, thereby causing damage to biomolecules, cation release, interactions with membrane and ATP depletion. One of the challenges with metal oxide NP is their cytotoxicity. Scientists are in search of degradable and less toxic metal oxide NP. The current review focuses on the relative advantages and limitations of various metal oxides NPs in inhibiting microbial growth. The Author(s), under exclusive license to Springer Nature Switzerland AG 2021. All rights reserved. Creator An entity primarily responsible for making the resource Sarojini S.; Jayaram S. Source A related resource from which the described resource is derived Bio-manufactured Nanomaterials: Perspectives and Promotion, pp. 393-406. Publisher An entity responsible for making the resource available Springer International Publishing 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/10.1007/978-3-030-67223-2_18" target="_blank" rel="noreferrer noopener">https://doi.org/10.1007/978-3-030-67223-2_18</a> <a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85111159749&doi=10.1007%2F978-3-030-67223-2_18&partnerID=40&md5=522d74b96f538cc088b3f48558e8b8c3" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85111159749&doi=10.1007%2f978-3-030-67223-2_18&partnerID=40&md5=522d74b96f538cc088b3f48558e8b8c3</a> Rights Information about rights held in and over the resource Restricted Access Relation A related resource ISBN: 978-303067223-2; 978-303067222-5 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 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 Sarojini S., Department of Life Sciences, CHRIST (Deemed to be University), Bangalore, India; Jayaram S., Department of Life Sciences, 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 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 61000058 Title A name given to the resource An Impact of technology based constructivist teaching on acdemic achivement of IX standrad students of Bengaluru city Subject The topic of the resource Education Description An account of the resource Modern education emphasizes on learner centered and joyful learning which is the newlineneed of the hour as well initiated by educationists and education commission. They opine that, children need to keep active throughout the teaching and learning process and encourage self-learning and independent learning. One such emerging practice is constructivist teaching. It has changed the educational practice and converted Passive Learner Centered Environment into Active Learner Centered Environment.Constructivism newlinebelieves that learning is not encouraged in zero ground but on previous experience and newlineprior knowledge. It is the beginning for construction of new knowledge. In the context of Indian school education, it is rightly accepted as one of the pedagogical practice in National Curriculum Framework 2005 and National Curriculum Framework for Teacher newlineEducation 2009. It is also duly adopted in school education and teacher education newlineprogramme of Karnataka. Apart from constructivist approach, technology and technology integration highly influence on present education system. Technology not used only for drill,practice, tutorial etc. but also for construction of knowledge. newlineIn this context, there is a need for technology integration in constructivist practice and to give new framework for learning, teaching as well as for learner centered education. newlineHence, this research is conducted to study An Impact of Technology Based Constructivist Teaching on Academic Achievement of IX Standard Students of Bengaluru City .The main objective of the study is to compare the effectiveness of Constructivist Teaching and Technology Based Constructivist Teaching on academic achievement of IX standard students in Social Science subject. newlineThe present study is experimental in nature newlinewith two equivalent group design. In this study purposive sampling technique is used. The sample comprised of 156 students studying in IX standard of two schools (Government newlineand Private School) of Bengaluru city affiliated to state board. Creator An entity primarily responsible for making the resource Parasurama, D 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 2016-01-01 Contributor An entity responsible for making contributions to the resource Swamy Srikanta S 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/10603/149168" target="_blank" rel="noreferrer noopener">http://hdl.handle.net/10603/149168</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 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 improved AI-driven Data Analytics model for Modern Healthcare Environment Subject The topic of the resource Approach; Improve; Powerful; Progressed; Statistics Description An account of the resource AI-driven statistics analytics is a swiftly advancing and impactful era that is transforming the face of healthcare. By leveraging the energy of AI computing and gadget studying, healthcare organizations can speedy gain insights from their huge datasets, offering a greater comprehensive and personalized approach to hospital therapy and populace health management. This paper explores the advantages of AI-driven statistics analytics in healthcare settings, masking key benefits along with progressed analysis and treatment, better-affected person effects, and financial savings. Moreover, this paper addresses the main challenges associated with AI-pushed analytics and offers potential solutions to enhance accuracy and relevance. In the long run, statistics analytics powered by way of AI gives powerful opportunities to improve healthcare outcomes, and its use is expected to expand within the coming years. 2024 IEEE. Creator An entity primarily responsible for making the resource Patil S.C.; Takkalapally P.; Kasula B.Y.; Logeshwaran J. Source A related resource from which the described resource is derived 2024 15th International Conference on Computing Communication and Networking Technologies, ICCCNT 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/ICCCNT61001.2024.10724303" target="_blank" rel="noreferrer noopener">https://doi.org/10.1109/ICCCNT61001.2024.10724303</a> <a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85212928085&doi=10.1109%2FICCCNT61001.2024.10724303&partnerID=40&md5=e37a23c13d472e313d4d7760f9182123" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85212928085&doi=10.1109%2fICCCNT61001.2024.10724303&partnerID=40&md5=e37a23c13d472e313d4d7760f9182123</a> Rights Information about rights held in and over the resource Restricted Access Relation A related resource ISBN: 979-835037024-9 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 Patil S.C., United States; Takkalapally P., Lewis University, Department of Engineering, Computing and Mathematical Sciences, United States; Kasula B.Y., University Of The Cumberlands, Dept of Information Technology, Williamsburg, KY, United States; Logeshwaran J., CHRIST (Deemed to be University), Department of Computer Science, 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 An Improved Alternative Method of Imputation for Missing Data in Survey Sampling Subject The topic of the resource bias; imputation; mean squared error (MSE); percent relative efficiency (PRE); Population mean Description An account of the resource In the present paper, a new and improved method of ratio type imputation and corresponding point estimator to estimate the finite population mean is proposed in case of missing data problem. It has been shown that this estimator utilizes the readily available auxiliary information efficiently and gives better results than the ratio and mean methods of imputation; furthermore, its efficiency is also compared with the regression method of imputation and some other imputation methods, discussed in this article, using four real data sets. A simulation study is carried out to verify theoretical outcomes, and suitable recommendations are made. 2022 NSP Natural Sciences Publishing Cor. Creator An entity primarily responsible for making the resource Singh G.N.; Jaiswal A.K.; Singh C.; Usman M. Source A related resource from which the described resource is derived Journal of Statistics Applications and Probability, Vol-11, No. 2, pp. 535-543. Publisher An entity responsible for making the resource available Natural Sciences 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/10.18576/jsap/110214" target="_blank" rel="noreferrer noopener">https://doi.org/10.18576/jsap/110214</a> <a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85127098817&doi=10.18576%2Fjsap%2F110214&partnerID=40&md5=ce39c25679078f273d2a8f42b798a1b5" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85127098817&doi=10.18576%2fjsap%2f110214&partnerID=40&md5=ce39c25679078f273d2a8f42b798a1b5</a> Rights Information about rights held in and over the resource Restricted Access Relation A related resource ISSN: 20908423 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 Singh G.N., Indian Institute of Technology (Indian School of Mines), Dhanbad, 826004, India; Jaiswal A.K., Indian Institute of Technology (Indian School of Mines), Dhanbad, 826004, India; Singh C., Department of Statistics, CHRIST (Deemed to be University), Karnataka, Bengaluru, India; Usman M., Indian Institute of Technology (Indian School of Mines), Dhanbad, 826004, 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 Improved and Efficient YOLOv4 Method for Object Detection in Video Streaming Subject The topic of the resource Object detection; Optimized inferencing; YOLOV4 Description An account of the resource As object detection has gained popularity in recent years, there are many object detection algorithms available in today's world. Yet the algorithm with better accuracy and better speed is considered vital for critical applications. Therefore, in this article, the use of the YOLOV4 object detection algorithm is combined with improved and efficient inference methods. The YOLOV4 state-of-the-art algorithm is 12% faster compared to its previous version, YOLOV3, and twice as faster compared to the EfficientDet algorithm in the Tesla V100 GPU. However, the algorithm has lacked performance on an average machine and on single-board machines like Jetson Nano and Jetson TX2. In this research, we examine the performance of inferencing in several frameworks and propose a framework that effectively uses hardware to optimize the network while consuming less than 30% of the hardware of other frameworks. 2022, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. Creator An entity primarily responsible for making the resource Hussain J.; Prathap B.R.; Sharma A. Source A related resource from which the described resource is derived Lecture Notes in Networks and Systems, Vol-462, pp. 305-316. 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/10.1007/978-981-19-2211-4_27" target="_blank" rel="noreferrer noopener">https://doi.org/10.1007/978-981-19-2211-4_27</a> <a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85135038461&doi=10.1007%2F978-981-19-2211-4_27&partnerID=40&md5=3fc154107c8338e1c50d9121ac01be6a" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85135038461&doi=10.1007%2f978-981-19-2211-4_27&partnerID=40&md5=3fc154107c8338e1c50d9121ac01be6a</a> Rights Information about rights held in and over the resource Restricted Access Relation A related resource ISSN: 23673370; ISBN: 978-981192210-7 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 Hussain J., Department of Computer Science and Engineering, Christ (Deemed to be University), Bangalore, India; Prathap B.R., Department of Computer Science and Engineering, Christ (Deemed to be University), Bangalore, India; Sharma A., Department of Computer Science and Engineering, Christ (Deemed to be University), Bangalore, India Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Conference Papers Conference Paper Faculty Publications- Conference Papers Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource An Improved Artificial Intelligence based Service Quality to Increase Customer Satisfaction and Customer Loyalty in Banking Sector Subject The topic of the resource AISAQUAL Banking; BANQUAL; SERQUAL; Service; Tangibility Description An account of the resource This study clarifies and determines how service quality affects customer loyalty and reliability. The support of quality in the open and private financial sphere and understanding of its connection to customer loyalty and conduct goal Utilizing an upgraded SERVQUAL (BANQUAL) tool with 26 items, the review was conducted among 802 bank customers. The social goal battery was used to estimate the clients' expected conduct. The expert used a seven-point Likert scale to assess the standard and saw service quality (implementation), as well as the social expectations of the clients. The most reliable tool to quantify the conceptualization of the differentiation score is the BANQUAL instrument. It is used to evaluate gaps in service between assumptions and perceptions of service quality. The SERVQUAL instrument is modified to make it suitable in the banking industry. Questions on parking at the bank, the variety of things and programmes available, and the banks' genuine efforts to address customer grievances are added to the instrument (Responsiveness). The writing audit was sufficiently compiled from many sources, reflecting both an Indian and foreign environment. The postulation included several hypotheses then examined using structural equation modelling. To meet the exploration goals, the views were tested using the products AMOS and SISS. The data were analysed using corroborative and explorative element research to confirm the BANQUAL instrument's dependability and legitimacy of the financial business execution and service quality aspects. The resulting CFA model value exhibits excellent psychometric qualities. Professional businesses and clients increasingly use artificial intelligence support specialists (AISA) for management. However, no measure measuring the support quality can fully capture the essential factors affecting AISA service quality. By developing a scale for evaluating the quality of AISA service, this study seeks to solve this deficiency(AISAQUAL). 2023 IEEE. Creator An entity primarily responsible for making the resource Shunmugasundaram M.; Ganesh K.S.; Gnanapragash T.J.; John E.P.; Raj J.P.; Smitha V. Source A related resource from which the described resource is derived 2nd International Conference on Sustainable Computing and Data Communication Systems, ICSCDS 2023 - Proceedings, pp. 433-439. Publisher An entity responsible for making the resource available Institute of Electrical and Electronics Engineers Inc. Date A point or period of time associated with an event in the lifecycle of the resource 2023-01-01 Identifier An unambiguous reference to the resource within a given context <a href="https://doi.org/10.1109/ICSCDS56580.2023.10105048" target="_blank" rel="noreferrer noopener">https://doi.org/10.1109/ICSCDS56580.2023.10105048</a> <a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85159146276&doi=10.1109%2FICSCDS56580.2023.10105048&partnerID=40&md5=30ff5b06fbd8e93c1499d6803d5caab5" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85159146276&doi=10.1109%2fICSCDS56580.2023.10105048&partnerID=40&md5=30ff5b06fbd8e93c1499d6803d5caab5</a> Rights Information about rights held in and over the resource Restricted Access Relation A related resource ISBN: 978-166549199-0 Format The file format, physical medium, or dimensions of the resource Online Language A language of the resource English Type The nature or genre of the resource Conference paper Coverage The spatial or temporal topic of the resource, the spatial applicability of the resource, or the jurisdiction under which the resource is relevant Shunmugasundaram M., Scad College of Eng. & Tech, Tamilnadu, Tirunelveli, India; Ganesh K.S., Lead College of Management, Kerala, Palakkad, India; Gnanapragash T.J., Christ Deemed to Be University, School of Business & Management, Bangalore, India; John E.P., Srm Institute of Science and Technology, Chennai, India; Raj J.P., Christ University, School of Business and Management, India; Smitha V., Lead College of Management, Kerala, Palakkad, 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 Improved Combined Adaptive Outline for Contrast Enhancement of Blood Vessels Subject The topic of the resource Adaptive histogram equalization (AHE); Brightness preserving bi-histogram equalization (BBHE); Contrast enhancement; Histogram equalization (HE) Description An account of the resource Appropriate vascular segmentation is dependent on effective picture pre-processing techniques that improve the contrast of the blood vessels, reduce noise, eliminate non-uniform illumination, highlight thin vessels, and retain background texture. These techniques are necessary for accurate vessel segmentation. Here, both the edge- and texture-smoothed data from the vessel probability map are used in the derivation of the adaptive optimal q-order in the G-L mask. The smooth information is not affected, the textures are maintained, and the contrast of the blood vessels is enhanced, thanks to the proposed filter. In addition to sharpening the focus on the vessels themselves, a Gaussian curve fitting is used to contrast stretch the entire image. Retinal fundus images processed with cerebral DSA are subjected to both qualitative and quantitative assessments of contrast enhancement. Quantitative performance indicators are tabulated and compared to other approaches to show how well this technique works for improving medical images everywhere. The suggested filter is easy to implement, flexible enough to adapt to different images, and effective at increasing both vessel contrast and overall image contrast. 2023, The Author(s), under exclusive licence to Springer Nature Singapore Pte Ltd. Creator An entity primarily responsible for making the resource Warrier G.S.; Mahapatra H.; Khuntia M.; Rajesh M.; Vincent R.; Pathak A. Source A related resource from which the described resource is derived SN Computer Science, Vol-4, No. 5 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/s42979-023-02069-5" target="_blank" rel="noreferrer noopener">https://doi.org/10.1007/s42979-023-02069-5</a> <a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85169662274&doi=10.1007%2Fs42979-023-02069-5&partnerID=40&md5=22aed3dbd0bfad5b3673a1e1bdec3f24" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85169662274&doi=10.1007%2fs42979-023-02069-5&partnerID=40&md5=22aed3dbd0bfad5b3673a1e1bdec3f24</a> Rights Information about rights held in and over the resource Restricted Access Relation A related resource ISSN: 2662995X 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 Warrier G.S., Department of Computer Science, Christ(Deemed to be University), Karnataka, Bangalore, 560 073, India; Mahapatra H., Department of Endocrinology, IMS & SUM Hospital, SOA University, Bhubaneswar, India, Sevayan Diabetes Centre, Puri, India; Khuntia M., Department of Rural Management, KIIT University, Bhubaneswar, India; Rajesh M., School of Computer Science and Engineering, Vellore Institute of Technology, Chennai, India; Vincent R., School of Computer Science and Engineering, Vellore Institute of Technology, Chennai, India; Pathak A., Department of Computer Science, Shobhit Institute of Engineering & Technology (Deemed to-be University), Meerut, India