20 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 Gated Recurrent Unit Based Continual Normalization Model for Arrythmia Classification Using ECG Signals Subject The topic of the resource Cardiac arrhythmias; Continual normalization; Electrocardiogram; Gated Recurrent Unit; MIT-BIH Description An account of the resource In this world, around 31% of the deaths are commonly caused because of cardiovascular diseases. Around 80% of sudden deaths occur due to cardiac arrhythmias and heart diseases. The mortality rate has increased for cardiac disease and therefore early heart disease detection is significant to preclude patients from dying. At the initial phase, the heart disease is detected by analyzing abnormal heartbeats. The existing models failed to select the features before performing the extraction of features. The developed model examined MIT-BIB database to surpass the overfitting issue. Therefore, in the present research work, the Gated Recurrent Unit (GRU) based Continual Normalization (CN) classifier is used to speed up the training to a higher learning rate to enable simpler learning for the standard deviation of the neurons' output. The extracted features were used to classify Electrocardiogram (ECG) signals into 5 important classes named as N, S, V, F & Q which denote the kinds of arrhythmia. The findings revealed that the proposed GRU based Continual Normalization technique obtained an accuracy of 99.41% which is better when compared with the existing researches. 2023 IEEE. Creator An entity primarily responsible for making the resource Manjunath C.; Hemalatha K.L.; Sandya V.; Sunil G.; Shakir A.M. Source A related resource from which the described resource is derived IEEE 1st International Conference on Ambient Intelligence, Knowledge Informatics and Industrial Electronics, AIKIIE 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/AIKIIE60097.2023.10390056" target="_blank" rel="noreferrer noopener">https://doi.org/10.1109/AIKIIE60097.2023.10390056</a> <a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85187304664&doi=10.1109%2FAIKIIE60097.2023.10390056&partnerID=40&md5=a1e7ea46be8c519094e0f0a7e1350595" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85187304664&doi=10.1109%2fAIKIIE60097.2023.10390056&partnerID=40&md5=a1e7ea46be8c519094e0f0a7e1350595</a> Rights Information about rights held in and over the resource Restricted Access Relation A related resource ISBN: 979-835031646-9 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 Manjunath C., CHRIST(Deemed to Be University), Department of Cse, Bengaluru, India; Hemalatha K.L., Sri Krishna Institute of Technology, Department of Information Science and Engineering, Bengaluru, India; Sandya V., Cmr Technical Campus, Department of CSE(Data Science), Hyderabad, India; Sunil G., School of Computer Science & Artificial Intelligence, Sr University, Warangal, India; Shakir A.M., The Islamic University, Najaf, Iraq Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Articles Article Faculty Publications -Articles Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource A generalized software reliability prediction model for module based software incorporating testing effort with cost model Subject The topic of the resource Maximum likelihood estimation (MLE); Non-homogeneous Poisson process (NHPP); Optimal release time (ORT); Software reliability growth model (SRGM); Testing effort function (TEF); Warranty cost model Description An account of the resource As software innovation has advanced, it has been noted that the testing effort function (TEF) is one of the key factors influencing the improvement of software reliability. This paper presents a simplified model which incorporates the testing effort for the reliability growth of a software. A closed form solution has been derived for the reliability of the software. This study examines the impact of testing efforts on a software reliability model based on NHPP. The sensitivity analysis has been made available to investigate how the created model's system parameters affect the cost function, mean value function, and softwares reliability. The parameters of the model have been estimated using the non-linear least square estimation (MLE) method in MATLAB software. Additionally, a warranty cost model is constructed to assess the optimal release policy for the software. The general form of the reliability expression involves elliptic integrals, which can be computed easily through a software like Mathematica. We have derived analytical solutions for reliability pertaining to several particular cases. Optimal release time for the software product has been calculated for some particular cost-sets. Goodness of fit curves have been plotted to compare the proposed model with some well-known existing SRGMs. Numerical illustrations are provided to bolster the analytical outcomes. The Author(s), under exclusive licence to Society for Reliability and Safety (SRESA) 2024. Creator An entity primarily responsible for making the resource Yadav A.K.; Srivastava S.; Pant M. Source A related resource from which the described resource is derived Life Cycle Reliability and Safety Engineering, Vol-13, No. 4, pp. 419-436. 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 2024-01-01 Identifier An unambiguous reference to the resource within a given context <a href="https://doi.org/10.1007/s41872-024-00265-7" target="_blank" rel="noreferrer noopener">https://doi.org/10.1007/s41872-024-00265-7</a> <a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85202774473&doi=10.1007%2Fs41872-024-00265-7&partnerID=40&md5=d4bfa0f16c8ed4d6238b73a45d11b1aa" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85202774473&doi=10.1007%2fs41872-024-00265-7&partnerID=40&md5=d4bfa0f16c8ed4d6238b73a45d11b1aa</a> Rights Information about rights held in and over the resource Restricted Access Relation A related resource ISSN: 25201352 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 Yadav A.K., Department of Applied Mathematics and Scientific Computing, Indian Institute of Technology, Roorkee, 247001, India; Srivastava S., Christ University, Karnataka, Bengaluru, 560029, India; Pant M., Department of Applied Mathematics and Scientific Computing, Indian Institute of Technology, Roorkee, 247001, India, Mehta Family School of Data Science and Artificial Intelligence, Indian Institute of Technology, Roorkee, 247667, India Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Articles Article Faculty Publications -Articles Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource A generic cyber immune framework for anomaly detection using artificial immune systems Subject The topic of the resource Artificial immune system framework; Cyber immune system; Intrusion detection system; Natural killer cells; Response time Description An account of the resource Intrusion detection systems play a significant role in computer security. Artificial immune systems are the prime contender in developing an anomaly-based intrusion detection system due to their simplicity. The fundamental goal of this paper is to create a generic framework for an artificial immune system which is fast and accurate in detecting anomalies using artificial immune system concepts. Natural killer cells in the immune system and their quick response to foreign pathogens inspired the adaptation of those cells into an artificial immune system based framework. A natural killer cell-based framework is proposed to improve the accuracy and speed of anomaly detection. The structure of the proposed framework includes major histocompatibility complex class 1 representation, affinity calculation, cell generation, and cell proliferation. This framework addresses the overlapping and hole problem while creating natural killer cells to increase the system's performance. The negative selection algorithm and the positive selection algorithm generate the cells that enhance the anomaly detection technique and give high precision. The parameter response time introduced in this paper is crucial for an intrusion system to be used in real-time. 2022 Elsevier B.V. Creator An entity primarily responsible for making the resource Bejoy B.J.; Raju G.; Swain D.; Acharya B.; Hu Y.-C. Source A related resource from which the described resource is derived Applied Soft Computing, Vol-130 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 2022-01-01 Identifier An unambiguous reference to the resource within a given context <a href="https://doi.org/10.1016/j.asoc.2022.109680" target="_blank" rel="noreferrer noopener">https://doi.org/10.1016/j.asoc.2022.109680</a> <a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85140476942&doi=10.1016%2Fj.asoc.2022.109680&partnerID=40&md5=d63e9960f036f6fcef72bd6586ddbbe3" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85140476942&doi=10.1016%2fj.asoc.2022.109680&partnerID=40&md5=d63e9960f036f6fcef72bd6586ddbbe3</a> Rights Information about rights held in and over the resource Restricted Access Relation A related resource ISSN: 15684946 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 Bejoy B.J., Department of CSE, CHRIST University, Bangalore, India; Raju G., Department of CSE, CHRIST University, Bangalore, India; Swain D., Department of CSE, Pandit Deendayal Energy University, Gandhinagar, India; Acharya B., Department of Computer Engineering-AI, Marwadi University, Gujarat, Rajkot, India; Hu Y.-C., Department of Computer Science and Information Management, Providence University, Taiwan Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Articles Article Faculty Publications -Articles Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource A genome wide association study of fast beta EEG in families of European ancestry Subject The topic of the resource Electrophysiology; Endophenotype; Genome-Wide Association Study (GWAS); Resting EEG Description An account of the resource Background Differences in fast beta (2028Hz) electroencephalogram (EEG) oscillatory activity distinguish some individuals with psychiatric and substance use disorders, suggesting that it may be a useful endophenotype for studying the genetics of disorders characterized by neural hyper-excitability. Despite the high heritability estimates provided by twin and family studies, there have been relatively few genetic studies of beta EEG, and to date only one genetic association finding has replicated (i.e., GABRA2). Method In a sample of 1564 individuals from 117 families of European Ancestry (EA) drawn from the Collaborative Study on the Genetics of Alcoholism (COGA), we performed a Genome-Wide Association Study (GWAS) on resting-state fronto-central fast beta EEG power, adjusting regression models for family relatedness, age, sex, and ancestry. To further characterize genetic findings, we examined the functional and behavioral significance of GWAS findings. Results Three intronic variants located within DSE (dermatan sulfate epimerase) on 6q22 were associated with fast beta EEG at a genome wide significant level (p<5נ10?8). The most significant SNP was rs2252790 (p<2.6נ10?8; MAF=0.36; ?=0.135). rs2252790 is an eQTL for ROS1 expressed most robustly in the temporal cortex (p=1.2נ10?6) and for DSE/TSPYL4 expressed most robustly in the hippocampus (p=7.3נ10?4; ?=0.29). Previous studies have indicated that DSE is involved in a network of genes integral to membrane organization; gene-based tests indicated that several variants within this network (i.e., DSE, ZEB2, RND3, MCTP1, and CTBP2) were also associated with beta EEG (empirical p<0.05), and of these genes, ZEB2 and CTBP2 were associated with DSM-V Alcohol Use Disorder (AUD; empirical p<0.05). Discussion In this sample of EA families enriched for AUDs, fast beta EEG is associated with variants within DSE on 6q22; the most significant SNP influences the mRNA expression of DSE and ROS1 in hippocampus and temporal cortex, brain regions important for beta EEG activity. Gene-based tests suggest evidence of association with related genes, ZEB2, RND3, MCTP1, CTBP2, and beta EEG. Converging data from GWAS, gene expression, and gene-networks presented in this study provide support for the role of genetic variants within DSE and related genes in neural hyperexcitability, and has highlighted two potential candidate genes for AUD and/or related neurological conditions: ZEB2 and CTBP2. However, results must be replicated in large, independent samples. 2016 Elsevier B.V. Creator An entity primarily responsible for making the resource Meyers J.L.; Zhang J.; Manz N.; Rangaswamy M.; Kamarajan C.; Wetherill L.; Chorlian D.B.; Kang S.J.; Bauer L.; Hesselbrock V.; Kramer J.; Kuperman S.; Nurnberger J.I., Jr.; Tischfield J.; Wang J.C.; Edenberg H.J.; Goate A.; Foroud T.; Porjesz B. Source A related resource from which the described resource is derived International Journal of Psychophysiology, Vol-115, pp. 74-85. Publisher An entity responsible for making the resource available Elsevier B.V. Date A point or period of time associated with an event in the lifecycle of the resource 2017-01-01 Identifier An unambiguous reference to the resource within a given context <a href="https://doi.org/10.1016/j.ijpsycho.2016.12.008" target="_blank" rel="noreferrer noopener">https://doi.org/10.1016/j.ijpsycho.2016.12.008</a> <a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85010953537&doi=10.1016%2Fj.ijpsycho.2016.12.008&partnerID=40&md5=d461f8607df9968ee93ec10d0fdd4749" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85010953537&doi=10.1016%2fj.ijpsycho.2016.12.008&partnerID=40&md5=d461f8607df9968ee93ec10d0fdd4749</a> Rights Information about rights held in and over the resource All Open Access; Green Open Access Relation A related resource ISSN: 1678760; PubMed ID: 28040410; CODEN: IJPSE 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 Meyers J.L., Henri Begleiter Neurodynamics Laboratory, Department of Psychiatry and Behavioral Sciences, SUNY Downstate Medical Center, Brooklyn, NY, United States; Zhang J., Henri Begleiter Neurodynamics Laboratory, Department of Psychiatry and Behavioral Sciences, SUNY Downstate Medical Center, Brooklyn, NY, United States; Manz N., Henri Begleiter Neurodynamics Laboratory, Department of Psychiatry and Behavioral Sciences, SUNY Downstate Medical Center, Brooklyn, NY, United States, Department of Physics, College of Wooster, Wooster, OH, United States; Rangaswamy M., Department of Psychology, Christ University, Bangalore, India; Kamarajan C., Henri Begleiter Neurodynamics Laboratory, Department of Psychiatry and Behavioral Sciences, SUNY Downstate Medical Center, Brooklyn, NY, United States; Wetherill L., Department of Medical and Molecular Genetics, Indiana University School of Medicine, Indianapolis, IN, United States; Chorlian D.B., Henri Begleiter Neurodynamics Laboratory, Department of Psychiatry and Behavioral Sciences, SUNY Downstate Medical Center, Brooklyn, NY, United States; Kang S.J., Albany Stratton VA Medical Center, Albany, NY, United States; Bauer L., University of Connecticut School of Medicine, Farmington, CT, United States; Hesselbrock V., University of Connecticut School of Medicine, Farmington, CT, United States; Kramer J., Department of Psychiatry, University of Iowa, Iowa City, IA, United States; Kuperman S., Department of Psychiatry, University of Iowa, Iowa City, IA, United States; Nurnberger J.I., Jr., Department of Medical and Molecular Genetics, Indiana University School of Medicine, Indianapolis, IN, United States; Tischfield J., Rutgers University, Piscataway, NJ, United States; Wang J.C., Icahn School of Medicine at Mt. Sinai, New York, NY, United States; Edenberg H.J., Department of Medical and Molecular Genetics, Indiana University School of Medicine, Indianapolis, IN, United States, Department of Biochemistry and Molecular Biology, Indiana University School of Medicine, Indianapolis, IN, United States; Goate A., Icahn School of Medicine at Mt. Sinai, New York, NY, United States; Foroud T., Department of Medical and Molecular Genetics, Indiana University School of Medicine, Indianapolis, IN, United States; Porjesz B., Henri Begleiter Neurodynamics Laboratory, Department of Psychiatry and Behavioral Sciences, SUNY Downstate Medical Center, Brooklyn, NY, United States Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Book Chapter Book Chapter Faculty Publications- Book Chapter Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource A Glimpse into the Future: AI, Digital Humans, and the Metaverse Opportunities and Challenges for Life Sciences in Immersive Ecologies Subject The topic of the resource AI; Augmented reality; Digital humans; Digital twins; Extended reality; Metaverse; Mixed reality; Virtual reality Description An account of the resource The Metaverse is poised to have a significant impact in life sciences, especially in the healthcare sector. In the near future, genomic data along with AI and extended reality may be used to enhance digital humans to create digital twins to be used for virtual world interactions, or manipulated to obtain insights for real-world healthcare decision-making. In addition, extended reality may enable more robust population-based research and faster drug discovery, and permit the creation of virtual spaces and immersive environments for patients and physicians alike. In this chapter, we examine aspects of extended reality and AI that will play important roles in various areas of life sciences and discuss the future of life sciences in the Metaverse. 2023 John Wiley & Sons Ltd. Creator An entity primarily responsible for making the resource Surveswaran S.; Deshpande L. Source A related resource from which the described resource is derived AI in Clinical Medicine: A Practical Guide for Healthcare Professionals, pp. 521-527. Publisher An entity responsible for making the resource available wiley 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/10.1002/9781119790686.ch47" target="_blank" rel="noreferrer noopener">https://doi.org/10.1002/9781119790686.ch47</a> <a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85153463140&doi=10.1002%2F9781119790686.ch47&partnerID=40&md5=3059c9f4bb46da9ccb83ddc14e098447" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85153463140&doi=10.1002%2f9781119790686.ch47&partnerID=40&md5=3059c9f4bb46da9ccb83ddc14e098447</a> Rights Information about rights held in and over the resource Restricted Access Relation A related resource ISBN: 978-111979068-6; 978-111979064-8 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 Surveswaran S., Department of Life Sciences, CHRIST (Deemed to be University), Bangalore, India; Deshpande L., XR Labs, Tata Consultancy Services, Mumbai, India Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Articles Article Faculty Publications -Articles Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource A global perspective on psychologists' and their organizations' response to a world crisis; [Una perspectiva global sobre la respuesta de los psicogos y sus organizaciones a una crisis mundial] Subject The topic of the resource COVID-19; Governance; International psychology; Organizational response; Public policy Description An account of the resource Around the world, individual psychologists have stepped up to deliver essential services to address the social and emotional sequelae of the COVID-19 pandemic. Many psychological organizations have also responded to this public health crisis, though their efforts may be less widely recognized. Psychological organizations engaged in preventive and mitigation efforts targeted, among others, the general public, local communities, and high-risk groups such as health care providers. They disseminated mental health information to the general public, trained laypersons to provide psychological first aid, and used research to design and evaluate public health responses to the pandemic. In some countries, psychological organizations contributed to the design and implementation of public health policies and practices. The nature of these involvements changed throughout the pandemic and evolved from reactive to proactive, from local to international. Several qualities appear key to the value, impact, and success of these efforts. These include organizational agility and adaptability, the ability to overcome their political inertia and manage conflict, recognizing the need to address cultural differences, and allocating limited resources to high-risk and resource-depleted constituencies where it was needed most. 2021, Sociedad Interamericana de Psicologia. All rights reserved. Creator An entity primarily responsible for making the resource Gutirez G.; Barbarin O.; KlicperovBaker M.; Padakannaya P.; Thompson A.; Crowe S.; Khoury B. Source A related resource from which the described resource is derived Interamerican Journal of Psychology, Vol-55, No. 2 Publisher An entity responsible for making the resource available Sociedad Interamericana de Psicologia 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/10.30849/ripijp.v55i2.1713" target="_blank" rel="noreferrer noopener">https://doi.org/10.30849/ripijp.v55i2.1713</a> <a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85118228839&doi=10.30849%2Fripijp.v55i2.1713&partnerID=40&md5=93b778d2b5eea3ff4e012f5012a6bcf7" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85118228839&doi=10.30849%2fripijp.v55i2.1713&partnerID=40&md5=93b778d2b5eea3ff4e012f5012a6bcf7</a> Rights Information about rights held in and over the resource All Open Access; Gold Open Access Relation A related resource ISSN: 349690 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 Gutirez G., Universidad Nacional de Colombia, Bogot Colombia; Barbarin O., University of Maryland, College Park, United States; KlicperovBaker M., Czech Academy of Sciences, Prague, Czech Republic; Padakannaya P., Christ University, Bengaluru, India; Thompson A., University of the Bahamas, Nassau, Bahamas; Crowe S., La Trobe University, Melbourne, Australia; Khoury B., American University of Beirut, Beirut, Lebanon 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 GPS-Gradient Mapped Database-Based Fuzzy Energy Management System for a SeriesParallel Hybrid Electric Vehicle Subject The topic of the resource GPS; ICE; Planetary gears; RPi; SoC Description An account of the resource The Energy Management System developed for the hybrid electric vehicle operates using a database with GPS co-ordinates and corresponding altitudes mapped, thereby giving a predictive control to optimize the operation of the seriesparallel hybrid system. The system aims at extracting the maximum potential of the seriesparallel hybrid power train architecture. The mapping of the latitude and longitude obtained from a global positioning system (GPS) to the altitude measured to create a database which generates a predefined driving cycle prior to the actual motion of the vehicle. The created database is then used in a MATLAB/Simulink model to simulate the operation of the seriesparallel hybrid system and implement the Energy Management System. The validated data is then tested in a Raspberry Pi (RPi)-based prototype. The Energy Management System regulates the vehicle dynamics based on the input drive cycle. The fuzzy logic-based control mechanism is implemented in the RPi to optimize the load sharing between the IC engine and the brushless DC motor. 2020, Springer Nature Singapore Pte Ltd. Creator An entity primarily responsible for making the resource Thomas J.; Thomas A.; Biju A.; Mathew A.; Jose C.P.; Haneesh K.M. Source A related resource from which the described resource is derived Lecture Notes in Electrical Engineering, Vol-665, pp. 515-527. 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 2020-01-01 Identifier An unambiguous reference to the resource within a given context <a href="https://doi.org/10.1007/978-981-15-5262-5_38" target="_blank" rel="noreferrer noopener">https://doi.org/10.1007/978-981-15-5262-5_38</a> <a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85088230411&doi=10.1007%2F978-981-15-5262-5_38&partnerID=40&md5=7f47496b1a87dbeb10e9e7ac6f24c7bb" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85088230411&doi=10.1007%2f978-981-15-5262-5_38&partnerID=40&md5=7f47496b1a87dbeb10e9e7ac6f24c7bb</a> Rights Information about rights held in and over the resource Restricted Access Relation A related resource ISSN: 18761100; ISBN: 978-981155261-8 Format The file format, physical medium, or dimensions of the resource Online Language A language of the resource English Type The nature or genre of the resource Conference paper Coverage The spatial or temporal topic of the resource, the spatial applicability of the resource, or the jurisdiction under which the resource is relevant Thomas J., Faculty of Engineering, CHRIST (Deemed to Be University), Bengaluru, India; Thomas A., Faculty of Engineering, CHRIST (Deemed to Be University), Bengaluru, India; Biju A., Faculty of Engineering, CHRIST (Deemed to Be University), Bengaluru, India; Mathew A., Faculty of Engineering, CHRIST (Deemed to Be University), Bengaluru, India; Jose C.P., Faculty of Engineering, CHRIST (Deemed to Be University), Bengaluru, India; Haneesh K.M., Faculty of Engineering, CHRIST (Deemed to Be University), Bengaluru, India Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Book Chapter Book Chapter Faculty Publications- Book Chapter Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource A Gradational Approach for Auditing IoT Security Vulnerability: Case Study of Smart Home Devices Description An account of the resource The world is experiencing a rapid convergence of physical and cyber systems, as objects used in day-to-day life are connected over the Internet. These Internet of Things (IoT) devices are mass produced, but ensure its usage in routine life. The impact of IoT in human life ranges from simple household equipment to life-critical devices. Owing to the diversity, both in application and nature, the security on these devices and their applications has become a major concern. In spite of having many security frameworks and compliance regulations, attacks on IoTs are exponentially growing. A handful of security frameworks are available for ensuring the security, there are very few frameworks proposed for auditing the security. Confidentiality, Integrity and Availability, which are the pillars of security in IoT, are found missing or found to have been implemented with flaws. An IoT security audit is one good solution that has proven a success in the literature but challenging as the high-level standards cannot be applied to low-level devices and applications. In addition, the challenges of audits include heterogeneity of IoT and lack of expert resources. IoT and related products reached market very quickly before it could be subjected to the complete audit procedures or, in other words, the time taken for a new IoT device or application to be developed is much less than the time taken for developing a security audit mechanism. Hence, to enable an efficient security auditing of IoT devices, a definite and dynamic framework is needed that can propose feasible policies, automatic collection and analysis of audit data and tailor-made procedures for risk assessment, risk control and risk mitigation. This chapter focuses on the auditing of security vulnerability in IoT devices. A gradational methodology is proposed for extracting the feasible security checks from leading standards and guidelines in the IoT domain. To exploit its efficiency, the proposed method is applied to a smart home with IoT enabled devices. Performance metrics such as efficiency, accuracy, and scalability are evaluated. The experiments were carried out in a simulated environment with IoT devices. The results were highly satisfying as the proposed method could do efficient and accurate auditing for seven hundred smart homes in a time of less than fifteen minutes. 2025 Taylor & Francis Group, LLC. Creator An entity primarily responsible for making the resource Rajagopal M.; Ramkumar S. Source A related resource from which the described resource is derived Internet of Things Vulnerabilities and Recovery Strategies, pp. 87-101. Publisher An entity responsible for making the resource available CRC Press 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/10.1201/9781003474838-6" target="_blank" rel="noreferrer noopener">https://doi.org/10.1201/9781003474838-6</a> <a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85199159509&doi=10.1201%2F9781003474838-6&partnerID=40&md5=86524daad059099942887a08a6d7ee2b" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85199159509&doi=10.1201%2f9781003474838-6&partnerID=40&md5=86524daad059099942887a08a6d7ee2b</a> Rights Information about rights held in and over the resource Restricted Access Relation A related resource ISBN: 978-104002562-8; 978-103247331-4 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 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 Rajagopal M., Lean Operations and Systems, School of Business and Management, CHRIST (Deemed to be University), Karnataka, Bangalore, India; Ramkumar S., Department of Computer Science, School of Sciences, CHRIST (Deemed to be University), Karnataka, Bangalore, India https://archives.christuniversity.in/files/original/413d2e1b08aecc90e89c7b29b2cee6a8.jpg 0b6dfeeadbd8dbf97f5aef738454f6b9 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 Patents Subject The topic of the resource Patent Description An account of the resource Patent Patent Patents 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 hand glove-based system and method for allowing physically-impaired persons to communicate by identifying speech/messages / Subject The topic of the resource Electronics Description An account of the resource Patent Number: 202221053593, Applicant: Hemant Verma.The present invention generally relates to a hand glove system for allowing physically impaired persons to communicate by identifying speech and messages comprises a hand glove worn on a user hand and fitted with a plurality of micro push buttons configured with alphabets and numbers marked in each of the plurality of push buttons for generating a message signal; a GPS device coupled to the hand glove for detecting real time geolocation of the user; a control unit electrically coupled to the plurality of micro push buttons for converting specified alphabet or number from the received message signal; and a communication device for transferring the converted message signal along with real time geo-location of the user to a registered person/local guardian device to ask for a help in case of an emergency. Creator An entity primarily responsible for making the resource Saji, Janita. Source A related resource from which the described resource is derived <a href="https://drive.google.com/file/d/1ap8TuPzhD3molyh2A-XZigi-R-14crNd/view" target="_blank" title="A hand glove-based system and method for allowing physically-impaired persons to communicate by identifying speech/messages /" rel="noreferrer noopener">https://drive.google.com/file/d/1ap8TuPzhD3molyh2A-XZigi-R-14crNd/view</a> Publisher An entity responsible for making the resource available Intellectual Property India Date A point or period of time associated with an event in the lifecycle of the resource 2022-05-22 Language A language of the resource English Type The nature or genre of the resource Patent Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Articles Article Faculty Publications -Articles Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource A happy mother raises a happy child: insights from employed mothers in Bengali families in Kolkata Subject The topic of the resource empowered mothering; feminism; matricentric feminism; Patriarchy; qualitative study Description An account of the resource The present study explores the complexities of motherhood in Bengali middle-class families, where mothers are traditionally viewed as primary caregivers. Despite societal shifts and increased female workforce participation, mothers still face pressure to prioritize intensive mothering. Through qualitative analysis, the research explores how employed mothers balance work and childcare responsibilities, shedding light on their agency and empowerment within patriarchal structures. Findings reveal a nuanced landscape where mothers navigate societal expectations while striving for autonomy. Support systems, changing socio-economic dynamics, and technological advancements contribute to reshaping maternal roles. Mothers, though not uniformly identifying as feminists, challenge traditional norms, embracing an egalitarian approach to mothering. The study underscores the resilience of mothers in negotiating patriarchal constraints, highlighting their capacity to foster empowerment for themselves and their children within familial and societal contexts. This qualitative study conducted in-depth interviews with 37 employed mothers representing diverse professions and roles. 2025 Informa UK Limited, trading as Taylor & Francis Group. Creator An entity primarily responsible for making the resource Bhaumik S.; Sahu S. Source A related resource from which the described resource is derived Journal of Family Studies Publisher An entity responsible for making the resource available Routledge Date A point or period of time associated with an event in the lifecycle of the resource 2025-01-01 Identifier An unambiguous reference to the resource within a given context <a href="https://doi.org/10.1080/13229400.2024.2446990" target="_blank" rel="noreferrer noopener">https://doi.org/10.1080/13229400.2024.2446990</a> <a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85214373562&doi=10.1080%2F13229400.2024.2446990&partnerID=40&md5=1a68958aa8aef1795d03592822e634a1" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85214373562&doi=10.1080%2f13229400.2024.2446990&partnerID=40&md5=1a68958aa8aef1795d03592822e634a1</a> Rights Information about rights held in and over the resource Restricted Access Relation A related resource ISSN: 13229400 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 Bhaumik S., Department of Sociology & Social Work, Christ (Deemed to be University), Bangalore, India; Sahu S., Department of Sociology & Social Work, Christ (Deemed to be University), Bangalore, India https://archives.christuniversity.in/files/original/192f2e917b5a616226713eab0aae528d.pdf d982061c7e58a97e8eeff1658360c27a Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource MPHIL Mphil Mphil Thesis Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource A Hermeneutic Study on Bhagavad Gita in Relation to Education with Special Emphasis on Ideal Classroom Practices Creator An entity primarily responsible for making the resource Sahni Nivedita Date A point or period of time associated with an event in the lifecycle of the resource 2016 Source A related resource from which the described resource is derived Education 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 A heuristic analysis of equity and equality in the institutionalisation of property rights: The Baliraja water distribution experiment, India Subject The topic of the resource Equality; Equity; India; Natural resource management; Property rights; Water distribution Description An account of the resource Natural resource management perceived as a search for institutions that can ensure simultaneous fulfilment of three goals: productivity (or efficiency), sustainability and equity. In this article, we study the implications of pursuing the goal of equity in the management of surface water resources for irrigation with a heuristic model incorporating a Leontief-type fixed production function. The analysis has been carried out in the backdrop of the Baliraja water distribution experiment in India. One suggestion is that the allocating tradable water rights over water, a common property natural resource, can be used as an instrument to improve equity. Unfortunately, advocating the use of water distribution as an instrument of poverty alleviation is fraught with implicit assumptions about the rural economy and uncertain outcomes. It is important for planners to understand that the concepts of equity and equality are applicable to inputs and outputs or outcomes. We attempt to understand the implications of equality in water distribution on social welfare with a simple heuristic analysis. Theoretical analysis shows the possible outcomes of such a policy and also intended to raise pertinent questions and hypotheses in studying the effectiveness of irrigation and watershed initiatives where rights over water have been redistributed equally. Copyright 2009 Inderscience Enterprises Ltd. Creator An entity primarily responsible for making the resource Sivramkrishna S.; Jyotishi A. Source A related resource from which the described resource is derived International Journal of Agricultural Resources, Governance and Ecology, Vol-8, No. 1, pp. 90-106. Publisher An entity responsible for making the resource available Inderscience Publishers 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="https://doi.org/10.1504/IJARGE.2009.023078" target="_blank" rel="noreferrer noopener">https://doi.org/10.1504/IJARGE.2009.023078</a> <a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-60049094891&doi=10.1504%2FIJARGE.2009.023078&partnerID=40&md5=26bcdf5dd3796e430eac1b171e2176c8" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-60049094891&doi=10.1504%2fIJARGE.2009.023078&partnerID=40&md5=26bcdf5dd3796e430eac1b171e2176c8</a> Rights Information about rights held in and over the resource Restricted Access Relation A related resource ISSN: 14624605; CODEN: IJARD 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 Sivramkrishna S., Foundation to Aid Industrial Recovery, Richmond Town, Bangalore 560 025, Karnataka, No. 11, Prime Street, India; Jyotishi A., Ohio University Christ College Academy for Management Education, Bangalore 560 029, Karnataka, Hosur Road, India Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Conference Papers Conference Paper Faculty Publications- Conference Papers Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource A Heuristic Approach to Resolve Priority-Driven Unbalanced Transportation Problem (PUTP) Subject The topic of the resource Demand priority; MMPUTP; Unbalanced transportation problem; VAM Description An account of the resource This research addresses the priority-driven unbalanced transportation Problem (PUTP), characterized by a situation where the overall demand surpasses the available supply. We propose the Max-flow Min-cost Priority-driven Unbalanced Transportation Problem (MMPUTP) as a heuristic approach to handle this issue effectively. The strategy of MMPUTP focuses on optimizing resource allocation and reducing costs, making it highly effective in fulfilling high priority needs in a cost-efficient manner. Through a comparison with Vogel's Approximation Method (VAM) over different sets of problems ranging in size from 5?5 to 50?50, the effectiveness of the MMPUTP algorithm is evident. The findings underscore the significance of choosing the right algorithm based on the size and complexity of the problem set in the context of the Priority-driven Unbalanced Transportation Problem, with MMPUTP proving to be a flexible and reliable option in various situations. The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2024. Creator An entity primarily responsible for making the resource Arif A.S.; Babu M.A.; Islam M.N.; Sharif Uddin M.; Poonia R.C. Source A related resource from which the described resource is derived Smart Innovation, Systems and Technologies, Vol-409 SIST, pp. 337-349. 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/10.1007/978-981-97-7094-6_27" target="_blank" rel="noreferrer noopener">https://doi.org/10.1007/978-981-97-7094-6_27</a> <a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85210084748&doi=10.1007%2F978-981-97-7094-6_27&partnerID=40&md5=27cc06ab036cb06a4a7cc85eb280cff3" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85210084748&doi=10.1007%2f978-981-97-7094-6_27&partnerID=40&md5=27cc06ab036cb06a4a7cc85eb280cff3</a> Rights Information about rights held in and over the resource Restricted Access Relation A related resource ISSN: 21903018; ISBN: 978-981977093-9 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 Arif A.S., Department of Mathematics, Jahangirnagar University, Savar, Dhaka, Bangladesh; Babu M.A., Department of Physical Sciences, Independent University, Bangladesh, Dhaka, 1229, Bangladesh; Islam M.N., Department of Mathematics, Jahangirnagar University, Dhaka, 1342, Bangladesh; Sharif Uddin M., Department of Industrial Engineering, Prince Sattam Bin Abdulaziz University, Al Kharj, 11942, Saudi Arabia; Poonia R.C., Department of Computer Science, CHRIST (Deemed to Be University), Delhi-NCR, New Delhi, 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 A Heuristic Model For Personalised Risk Assesment of PCOS Subject The topic of the resource early diagnosis; Machine Learning; PCOS; Random Forest; Stacking; XGBoost Description An account of the resource According to WHO 8-13% of women are affected by Polycystic Ovary Syndrome (PCOS) out of which 70% women remain undiagnosed, it is a common endocrine disorder necessitating early diagnosis for timely intervention. In this paper a heuristic model is developed for PCOS prediction, by combining XGBoost and Random Forest through stacking techniques. Class imbalance was addressed using Random Oversampling. Cross-validation demonstrated the meta-model's superior accuracy compared to individual XGBoost and Random Forest models, highlighting its potential for reliable PCOS prediction. It is observed that the best possible results that the meta-model was able to provide was a score of 93.5% which was acquired in the 4th sample, the lowest score was 87.90% attained in the 2nd sample. To finalise the results, the mean accuracy was calculated which is 90.98% with a standard deviation of 1.96. deterministic model offers reproducible results and interpretability, aiding clinical decision-making. Future research could explore additional biomarkers and probabilistic techniques for personalized risk assessment. 2024 IEEE. Creator An entity primarily responsible for making the resource Singh N.; Sharma V.; Gupta V. Source A related resource from which the described resource is derived 4th International Conference on Innovative Practices in Technology and Management 2024, ICIPTM 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/ICIPTM59628.2024.10563299" target="_blank" rel="noreferrer noopener">https://doi.org/10.1109/ICIPTM59628.2024.10563299</a> <a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85197698342&doi=10.1109%2FICIPTM59628.2024.10563299&partnerID=40&md5=8bf32a0d4e0b0cd5bf42e093b60a8f41" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85197698342&doi=10.1109%2fICIPTM59628.2024.10563299&partnerID=40&md5=8bf32a0d4e0b0cd5bf42e093b60a8f41</a> Rights Information about rights held in and over the resource Restricted Access Relation A related resource ISBN: 979-835030775-7 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 Singh N., School of Sciences, Christ (Deemed to Be University), Delhi, India; Sharma V., Christ (Deemed to Be University), Department of Computational Sciences, Delhi, India; Gupta V., Christ (Deemed to Be University), Department of Computational Sciences, Delhi, India Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Articles Article Faculty Publications -Articles Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource A high-efficiency poly-input boost DCDC converter for energy storage and electric vehicle applications Subject The topic of the resource Conversion efficiency; Electric vehicle (EV) applications; Energy storage; Poly-input DCDC converter (PIDC); Renewable energy systems Description An account of the resource This research paper introduces an avant-garde poly-input DCDC converter (PIDC) meticulously engineered for cutting-edge energy storage and electric vehicle (EV) applications. The pioneering converter synergizes two primary power sourcessolar energy and fuel cellswith an auxiliary backup source, an energy storage device battery (ESDB). The PIDC showcases a remarkable enhancement in conversion efficiency, achieving up to 96% compared to the conventional 8590% efficiency of traditional converters. This substantial improvement is attained through an advanced control strategy, rigorously validated via MATLAB/Simulink simulations and real-time experimentation on a 100 W test bench model. Simulation results reveal that the PIDC sustains stable operation and superior efficiency across diverse load conditions, with a peak efficiency of 96% when the ESDB is disengaged and an efficiency spectrum of 9195% during battery charging and discharging phases. Additionally, the integration of solar power curtails dependence on fuel cells by up to 40%, thereby augmenting overall system efficiency and sustainability. The PIDCs adaptability and enhanced performance render it highly suitable for a wide array of applications, including poly-input DCDC conversion, energy storage management, and EV power systems. This innovative paradigm in power conversion and management is poised to significantly elevate the efficiency and reliability of energy storage and utilization in contemporary electric vehicles and renewable energy infrastructures. The Author(s) 2024. Creator An entity primarily responsible for making the resource Singh A.R.; Suresh K.; Parimalasundar E.; Kumar B.H.; Bajaj M.; Tuka M.B. Source A related resource from which the described resource is derived Scientific Reports, Vol-14, No. 1 Publisher An entity responsible for making the resource available Nature Research 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/10.1038/s41598-024-69254-1" target="_blank" rel="noreferrer noopener">https://doi.org/10.1038/s41598-024-69254-1</a> <a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85200459937&doi=10.1038%2Fs41598-024-69254-1&partnerID=40&md5=1ab2f5544f955655910883f10ef00ef9" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85200459937&doi=10.1038%2fs41598-024-69254-1&partnerID=40&md5=1ab2f5544f955655910883f10ef00ef9</a> Rights Information about rights held in and over the resource All Open Access; Gold Open Access Relation A related resource ISSN: 20452322; PubMed ID: 39107428 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 A.R., Department of Electrical Engineering, School of Physics and Electronic Engineering, Hanjiang Normal University, Hubei, Shiyan, 442000, China; Suresh K., Department of Electrical and Electronics Engineering, Christ Deemed to Be University, Bangalore, India; Parimalasundar E., Department of Electrical and Electronics Engineering, Mohan Babu University (Erstwhile Sree Vidyanikethan Engineering College), Tirupati, India; Kumar B.H., Department of Electrical and Electronics Engineering, Mohan Babu University (Erstwhile Sree Vidyanikethan Engineering College), Tirupati, India; Bajaj M., Department of Electrical Engineering, Graphic Era (Deemed to Be University), Dehradun, 248002, India, Hourani Center for Applied Scientific Research, Al-Ahliyya Amman University, Amman, Jordan, Graphic Era Hill University, Dehradun, 248002, India; Tuka M.B., Department of Electrical and Computer Engineering, College of Engineering, Sustainable Energy Center of Excellence, Addis Ababa Science and Technology University, Addis Ababa, 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 Articles Article Faculty Publications -Articles Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource A homotopy-based computational scheme for two-dimensional fractional cable equation Subject The topic of the resource Caputo derivative; Fractional cable equation; Laplace transform; q -homotopy analysis transform method Description An account of the resource In this paper, we examine the time-dependent two-dimensional cable equation of fractional order in terms of the Caputo fractional derivative. This cable equation plays a vital role in diverse areas of electrophysiology and modeling neuronal dynamics. This paper conveys a precise semi-analytical method called the q-homotopy analysis transform method to solve the fractional cable equation. The proposed method is based on the conjunction of the q-homotopy analysis method and Laplace transform. We explained the uniqueness of the solution produced by the suggested method with the help of Banach's fixed-point theory. The results obtained through the considered method are in the form of a series solution, and they converge rapidly. The obtained outcomes were in good agreement with the exact solution and are discussed through the 3D plots and graphs that express the physical representation of the considered equation. It shows that the proposed technique used here is reliable, well-organized and effective in analyzing the considered non-homogeneous fractional differential equations arising in various branches of science and engineering. 2024 World Scientific Publishing Company. Creator An entity primarily responsible for making the resource Kumar C.V.D.; Prakasha D.G.; Veeresha P.; Kapoor M. Source A related resource from which the described resource is derived Modern Physics Letters B, Vol-38, No. 32 Publisher An entity responsible for making the resource available World Scientific 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/10.1142/S0217984924502920" target="_blank" rel="noreferrer noopener">https://doi.org/10.1142/S0217984924502920</a> <a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85188804286&doi=10.1142%2FS0217984924502920&partnerID=40&md5=bac356d04dc13d3a7afb9cfabda10d59" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85188804286&doi=10.1142%2fS0217984924502920&partnerID=40&md5=bac356d04dc13d3a7afb9cfabda10d59</a> Rights Information about rights held in and over the resource Restricted Access Relation A related resource ISSN: 2179849; CODEN: MPLBE 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 Kumar C.V.D., Department of Mathematics, Davangere University, Shivagangotri, Davangere, 577007, India; Prakasha D.G., Department of Mathematics, Davangere University, Shivagangotri, Davangere, 577007, India; Veeresha P., Center for Mathematical Needs, Department of Mathematics, CHRIST (Deemed to Be University), Bengaluru, 560029, India; Kapoor M., Department of Mathematics, Lovely Professional University, Punjab, Phagwara, 144411, India Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Articles Article Faculty Publications -Articles Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource A Hybrid AES with a Chaotic Map-Based Biometric Authentication Framework for IoT and Industry 4.0 Subject The topic of the resource Biometric Authentication Framework; biometric data; fingerprint authentication; Hybrid AES (Advanced Encryption Standard) with Chaotic Map Encryption; Industry 4.0; Internet of Things; privacy; security Description An account of the resource The Internet of Things (IoT) is being applied in multiple domains, including smart homes and energy management. This work aims to tighten security in IoTs using fingerprint authentications and avoid unauthorized access to systems for safeguarding user privacy. Captured fingerprints can jeopardize the security and privacy of personal information. To solve privacy- and security-related problems in IoT-based environments, Biometric Authentication Frameworks (BAFs) are proposed to enable authentications in IoTs coupled with fingerprint authentications on edge consumer devices and to ensure biometric security in transmissions and databases. The Honeywell Advanced Encryption Security-Cryptography Measure (HAES-CM) scheme combined with Hybrid Advanced Encryption Standards with Chaotic Map Encryptions is proposed. BAFs enable private and secure communications between Industry 4.0s edge devices and IoT. This works suggested schemes evaluations with other encryption methods reveal that the suggested HAES-CM encryption strategy outperforms others in terms of processing speeds. 2023 by the authors. Creator An entity primarily responsible for making the resource Altameem A.; P P.; T S.; Poonia R.C.; Saudagar A.K.J. Source A related resource from which the described resource is derived Systems, Vol-11, No. 1 Publisher An entity responsible for making the resource available MDPI 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/10.3390/systems11010028" target="_blank" rel="noreferrer noopener">https://doi.org/10.3390/systems11010028</a> <a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85146813957&doi=10.3390%2Fsystems11010028&partnerID=40&md5=94f51ebc4f2867c823a7bde1187741e0" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85146813957&doi=10.3390%2fsystems11010028&partnerID=40&md5=94f51ebc4f2867c823a7bde1187741e0</a> Rights Information about rights held in and over the resource All Open Access; Gold Open Access Relation A related resource ISSN: 20798954 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 Altameem A., Department of Computer Science and Engineering, College of Applied Studies and Community Services, King Saud University, Riyadh, 11533, Saudi Arabia; P P., Department of Computer Science, CHRIST (Deemed to be University), Bangalore, 560029, India; T S., Department of Computer Science, CHRIST (Deemed to be University), Bangalore, 560029, India; Poonia R.C., Department of Computer Science, CHRIST (Deemed to be University), Bangalore, 560029, India; Saudagar A.K.J., Information Systems Department, Imam Mohammad Ibn Saud Islamic University (IMSIU), Riyadh, 11432, 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 Articles Article Faculty Publications -Articles Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource A hybrid algorithm for face recognition using PCA, LDA and ANN Subject The topic of the resource Face recognition; FFNN; LDA; PCA Description An account of the resource Face recognition is an evolving technique in the field of digital device security. The two procedures Principal Component Analysis and Linear Discriminant Analysis (LDA) are standard methodologies commonly used for feature extraction and dimension reduction techniques extensively used in the recognition of face system. This paper discourse, PCA trailed through a feed forward neural network (FFNN) called PCA-neural network and LDA trailed through feed forward neural network as LDA-neural network are considered for development of hybrid face recognition algorithm. In the current research work, a hybrid model of face recognition is presented with the integration of PCA, LDA, and FFNN. The proposed system experimental results indicate better performance compared to the state of the art literature methods. IAEME Publication. Creator An entity primarily responsible for making the resource Manukumar N.M.; Hiremath M. Source A related resource from which the described resource is derived International Journal of Mechanical Engineering and Technology, Vol-9, No. 3, pp. 85-93. Publisher An entity responsible for making the resource available IAEME Publication Date A point or period of time associated with an event in the lifecycle of the resource 2018-01-01 Identifier An unambiguous reference to the resource within a given context <a href="" target="_blank" rel="noreferrer noopener"></a> <a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85044735801&partnerID=40&md5=65848a7f92fb3fe0bf68c6ba3cac8673" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85044735801&partnerID=40&md5=65848a7f92fb3fe0bf68c6ba3cac8673</a> Rights Information about rights held in and over the resource Restricted Access Relation A related resource ISSN: 9766340 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 Manukumar N.M., Department of Computer Science, Christ University, Hosur Road, Bengaluru, India; Hiremath M., Department of Computer Science, Christ University, Hosur Road, Bengaluru, India Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Articles Article Faculty Publications -Articles Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource A Hybrid Approach Against Black Hole Attackers Using Dynamic Threshold Value and Node Credibility Subject The topic of the resource Collaborative black hole attackers; multiple black hole attackers; single black hole attackers; trust values Description An account of the resource Detecting black hole attackers is tedious in Vehicular Ad Hoc Networks due to vehicles' high mobility. The main consequence faced because of these attackers is an increase in the number of dropped packets which converts secure and fastest paths to compromised ones. Since these attackers can act individually and collaboratively as a group, early detection of these attackers must be feasible to preserve the network's performance. The majority of current methods rely on predetermined threshold and trust score values, which are ineffective in accurately identifying black hole attackers. Hence, this paper proposes a hybrid approach using dynamic threshold value and node credibility for early detection of black hole attackers. RSUs periodically compute the dynamic threshold value and categorize the vehicles into categories 1, 2, and 3. Vehicles classified as Category 1 are legitimate, whereas Category 3 vehicles are attackers. Vehicles in Category 2 are suspicious, requiring further analysis using node credibility values to identify attackers. It is protected against single, multiple, and collaborative black hole attackers. The NS2 simulation results demonstrate that the suggested method is optimal concerning PDR, Throughput, Delay, and Packet Loss Ratio compared to recent techniques. Since the proposed scheme efficiently identifies the attackers, it has 89.67% PDR, which is higher when compared to other schemes. 2013 IEEE. Creator An entity primarily responsible for making the resource Lakshmi S.; Anita E.A.M.; Jenefa J. Source A related resource from which the described resource is derived IEEE Access, Vol-11, pp. 91595-91603. 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/ACCESS.2023.3307394" target="_blank" rel="noreferrer noopener">https://doi.org/10.1109/ACCESS.2023.3307394</a> <a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85168721669&doi=10.1109%2FACCESS.2023.3307394&partnerID=40&md5=78dcde24b7385915f36627a32bebbfc0" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85168721669&doi=10.1109%2fACCESS.2023.3307394&partnerID=40&md5=78dcde24b7385915f36627a32bebbfc0</a> Rights Information about rights held in and over the resource All Open Access; Gold Open Access Relation A related resource ISSN: 21693536 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 Lakshmi S., AMET University, Department of Information Technology, Tamil Nadu, Kanathur, 603112, India; Anita E.A.M., CHRIST (Deemed to be University), Department of Computer Science and Engineering, Karnataka, Bengaluru, 560074, India; Jenefa J., CHRIST (Deemed to be University), Department of Computer Science and Engineering, Karnataka, Bengaluru, 560074, India Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Articles Article Faculty Publications -Articles Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource A hybrid approach for COVID-19 detection using biogeography-based optimization and deep learning Subject The topic of the resource Biogeography-based optimization; Computer vision; Convolutional neural network; Covid-19; Deep learning Description An account of the resource The COVID-19 pandemic has created a major challenge for countries all over the world and has placed tremendous pressure on their public health care services. An early diagnosis of COVID-19 may reduce the impact of the coronavirus. To achieve this objective, modern computation methods, such as deep learning, may be applied. In this study, a computational model involving deep learning and biogeography-based optimization (BBO) for early detection and management of COVID-19 is introduced. Specifically, BBO is used for the layer selection process in the proposed convolutional neural network (CNN). The computational model accepts images, such as CT scans, X-rays, positron emission tomography, lung ultrasound, and magnetic resonance imaging, as inputs. In the comparative analysis, the proposed deep learning model CNN is compared with other existing models, namely, VGG16, InceptionV3, ResNet50, and MobileNet. In the fitness function formation, classification accuracy is considered to enhance the prediction capability of the proposed model. Experimental results demonstrate that the proposed model outperforms InceptionV3 and ResNet50. 2022 Tech Science Press. All rights reserved. Creator An entity primarily responsible for making the resource Venkatachalam K.; Siuly S.; Kumar M.V.; Lalwani P.; Mishra M.K.; Kabir E. Source A related resource from which the described resource is derived Computers, Materials and Continua, Vol-70, No. 2, pp. 3717-3732. Publisher An entity responsible for making the resource available Tech Science Press 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/10.32604/cmc.2022.018487" target="_blank" rel="noreferrer noopener">https://doi.org/10.32604/cmc.2022.018487</a> <a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85116045275&doi=10.32604%2Fcmc.2022.018487&partnerID=40&md5=5bf42d5fc64ec7b70c00e5b133dfb44a" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85116045275&doi=10.32604%2fcmc.2022.018487&partnerID=40&md5=5bf42d5fc64ec7b70c00e5b133dfb44a</a> Rights Information about rights held in and over the resource All Open Access; Gold Open Access; Green Open Access Relation A related resource ISSN: 15462218 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 Venkatachalam K., Department of Computer Science and Engineering, CHRIST (Deemed to be University), Bangalore, 560074, India; Siuly S., Institute for Sustainable Industries and Liveable Cities, Victoria University, Melbourne, 14428, Australia; Kumar M.V., Department of Computer Science and Engineering, Anna University, University College of Engineering, Dindigul, 624622, India; Lalwani P., Department of Computer Science and Engineering, CHRIST (Deemed to be University), Bangalore, 560074, India; Mishra M.K., Department of Computer Science and Engineering, CHRIST (Deemed to be University), Bangalore, 560074, India; Kabir E., School of Sciences, University of Southern Queensland, Darling Heights, Toowoomba, 4350, Australia