497 20 16481 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 Faculty Publications 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/. Creator An entity primarily responsible for making the resource Pandey, Vijaishree Dubey; Shukla, Yashi; Solanki, Shashank; Singh, Sheetal Title A name given to the resource AI and Multimedia Integration for Smart Mining and Renewable Energy Sustainability Date A point or period of time associated with an event in the lifecycle of the resource 01-01-2026 Source A related resource from which the described resource is derived Multimedia and AI Applications for Sustainable Smart Mining and Energy;pp.485-516 Identifier An unambiguous reference to the resource within a given context <a href="https://doi.org/10.4018/979-8-3373-4942-8.ch017" target="_blank" rel="noreferrer noopener">https://doi.org/10.4018/979-8-3373-4942-8.ch017</a> <a href="https://www.scopus.com/pages/publications/105032595414?origin=resultslist" target="_blank" rel="noreferrer noopener">https://www.scopus.com/pages/publications/105032595414?origin=resultslist</a> Coverage The spatial or temporal topic of the resource, the spatial applicability of the resource, or the jurisdiction under which the resource is relevant Pandey V.D., Christ University, India; Shukla Y., Christ University, India; Solanki S., Christ University, India; Singh S., Christ University, India Description An account of the resource This chapter focuses on how Artificial Intelligence (AI) and multimedia technologies are used to encourage sustainable smart mining and renewable energy optimization. AI boosts the accuracy in planning energy, smart grid use and supporting the management of demand, which saves money. The use of AI, predictive maintenance, geospatial analytics, and real- time monitoring in mining ensures optimisation of resource extraction and insignificant impacts on the environment. The research is powered by the international case studies and the initiatives of the private sector and points out the transformational impact AI can and is making in the sphere of operational efficiencies and sustainable industrial development in the spheres of energy and mining industries. 2026 by IGI Global Scientific Publishing. All rights reserved. Publisher An entity responsible for making the resource available IGI Global Relation A related resource ISBN: 979-833734944-2; 979-833734942-8; Language A language of the resource English Type The nature or genre of the resource Book chapter Rights Information about rights held in and over the resource Restricted Access; Hardcopy may be available in the library 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 Faculty Publications 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/. Creator An entity primarily responsible for making the resource Pandey, Vijaishree Dubey; Solanki, Shashank; Verma, Vijeta; Sinha, Rituraj Title A name given to the resource Global policies and legal frameworks for sustainable internet of vehicles Date A point or period of time associated with an event in the lifecycle of the resource 01-01-2025 Source A related resource from which the described resource is derived Driving Innovation at the Intersection of Renewable Energy and the Internet of Vehicles;pp.417-466 Identifier An unambiguous reference to the resource within a given context <a href="https://doi.org/10.4018/979-8-3373-3321-2.ch012" target="_blank" rel="noreferrer noopener">https://doi.org/10.4018/979-8-3373-3321-2.ch012</a> <a href="https://www.scopus.com/pages/publications/105010008116?origin=resultslist" target="_blank" rel="noreferrer noopener">https://www.scopus.com/pages/publications/105010008116?origin=resultslist</a> Coverage The spatial or temporal topic of the resource, the spatial applicability of the resource, or the jurisdiction under which the resource is relevant Pandey V.D., Christ University, India; Solanki S., Christ University, India; Verma V., Christ University, India; Sinha R., Christ University, India Description An account of the resource The Operational vehicles utilize vehicular networks which work through Internet of Vehicles to reach better safety results and enhanced traffic outcomes and environmental benefits in real-time conditions. Multiple barriers restrict implementation worldwide because different jurisdictions maintain different rules about privacy regulations and security standards along with sustainability boundaries. This paper examines the EU GDPR alongside the California CCPA along with the Indian FAME scheme and new data protection laws and Singapore Smart Mobility 2030 and Germany's EU Aligned frameworks. Different governance standards prevent organizational systems from integrating with each other resulting in difficulties during deployment procedures. The proposal establishes environmentally friendly and accessible IoV systems while meeting transport environment regulatory standards through combined implementation of privacy-by-design principles and cybersecurity protocols and standardized protocols. 2025, IGI Global Scientific Publishing. All rights reserved. Publisher An entity responsible for making the resource available IGI Global Relation A related resource ISBN: 979-833733323-6; 979-833733321-2; Language A language of the resource English Type The nature or genre of the resource Book chapter Rights Information about rights held in and over the resource Restricted Access; Hardcopy may be available in the library 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 Faculty Publications 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/. Creator An entity primarily responsible for making the resource Pandey, Vijaishree Dubey; Verma, Vijeta; Sinha, Rituraj; Solanki, Shashank Title A name given to the resource AI-driven forensics in IoMT: Strengthening security, legal compliance, and ethical governance Date A point or period of time associated with an event in the lifecycle of the resource 01-01-2025 Source A related resource from which the described resource is derived Digital Forensics in Next-Generation Internet of Medical Things: Balancing Security and Sustainability;pp.149-169 Identifier An unambiguous reference to the resource within a given context <a href="https://doi.org/10.1201/9781003640325-8" target="_blank" rel="noreferrer noopener">https://doi.org/10.1201/9781003640325-8</a> <a href="https://www.scopus.com/pages/publications/105024405988?origin=resultslist" target="_blank" rel="noreferrer noopener">https://www.scopus.com/pages/publications/105024405988?origin=resultslist</a> Coverage The spatial or temporal topic of the resource, the spatial applicability of the resource, or the jurisdiction under which the resource is relevant Pandey V.D., Christ University, India, Bengaluru, Karnataka, India; Verma V., Christ University, India, Bengaluru, Karnataka, India; Sinha R., Christ University, India, Bengaluru, Karnataka, India; Solanki S., Christ University, India, Bengaluru, Karnataka, India Description An account of the resource [No abstract available] Publisher An entity responsible for making the resource available CRC Press Relation A related resource ISBN: 978-100364032-5; 978-104107046-7; Language A language of the resource English Type The nature or genre of the resource Book chapter Rights Information about rights held in and over the resource Restricted Access; Hardcopy may be available in the library 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 Faculty Publications 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/. Creator An entity primarily responsible for making the resource Pandey, Vijaishree; Verma, Vijeta; Sharma, Vandana; Solanki, Shashank Title A name given to the resource Navigating the complex terrain of medical big data: A synthesis of data security and legal frameworks Date A point or period of time associated with an event in the lifecycle of the resource 01-01-2025 Source A related resource from which the described resource is derived Utilizing AI of Medical Things for Healthcare Security and Sustainability;pp.425-468 Identifier An unambiguous reference to the resource within a given context <a href="https://doi.org/10.4018/979-8-3373-0690-2.ch014" target="_blank" rel="noreferrer noopener">https://doi.org/10.4018/979-8-3373-0690-2.ch014</a> <a href="https://www.scopus.com/pages/publications/105004780976?origin=resultslist" target="_blank" rel="noreferrer noopener">https://www.scopus.com/pages/publications/105004780976?origin=resultslist</a> Coverage The spatial or temporal topic of the resource, the spatial applicability of the resource, or the jurisdiction under which the resource is relevant Pandey V., Christ University, India; Verma V., Christ University, India; Sharma V., Christ University, India; Solanki S., Christ University, India Description An account of the resource This paper will focus on medical big data, in terms of the detail of legal frameworks of medical big data in terms of the significance of data breach incidents such as the Anthem as well as WannaCry ransomware attacks as key focal points for urgent need in toughen data security compliance with legal and ethical norms. Amongst key regulations, we analyze HIPAA, GDPR along with an impending India regulation Digital Personal Data Protection Act that will hold similar strict non-compliance penalties. Issues such as privacy, informed consent and algorithmic bias in healthcare data-managed are also covered. It helps support the usage of current technologies like blockchain and zero trust architecture to enhance data authenticity and trust. Finally, a harmonized legal, technical and ethical approach is proposed to improve global healthcare systems in view of mitigating security threats and assuring the secure, ethical use of medical big data for the best possible global healthcare outcomes. 2025, IGI Global Scientific Publishing. Publisher An entity responsible for making the resource available IGI Global Relation A related resource ISBN: 979-833730692-6; 979-833730690-2; Language A language of the resource English Type The nature or genre of the resource Book chapter Rights Information about rights held in and over the resource Restricted Access; Hardcopy may be available in the library 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 Faculty Publications 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/. Creator An entity primarily responsible for making the resource Pandey, Vivek; Mukherjee, Samrat K.; Singh, Ankit; Saha, Saibal K.; Jha, Ajeya Title A name given to the resource Impact of Homophily on Patient Empowerment: A Study of Online Patient Support Groups Date A point or period of time associated with an event in the lifecycle of the resource 01-01-2025 Source A related resource from which the described resource is derived Lecture Notes in Electrical Engineering;Volume;1243 LNEE;pp.201-209 Identifier An unambiguous reference to the resource within a given context <a href="https://doi.org/10.1007/978-981-97-6465-5_16" target="_blank" rel="noreferrer noopener">https://doi.org/10.1007/978-981-97-6465-5_16</a> <a href="https://www.scopus.com/pages/publications/85215806803?origin=resultslist" target="_blank" rel="noreferrer noopener">https://www.scopus.com/pages/publications/85215806803?origin=resultslist</a> Coverage The spatial or temporal topic of the resource, the spatial applicability of the resource, or the jurisdiction under which the resource is relevant Pandey V., Sikkim Manipal Institute of Technology, Sikkim, Majitar, Rangpo, India; Mukherjee S.K., Sikkim Manipal Institute of Technology, Sikkim, Majitar, Rangpo, India; Singh A., Symbiosis Institute of Health Sciences, A Constituent of Symbiosis International (Deemed University), Maharashtra, Lavale, Pune, 412115, India; Saha S.K., Christ University, Bengaluru, India; Jha A., Sikkim Manipal Institute of Technology, Sikkim, Majitar, Rangpo, India Description An account of the resource Internet facility has led to emergence of patient support groups. These have gained prominence as these fulfils important benefits to patients. One such benefit is patient empowerment. These online groups provide opportunity to patients to interact with similar ailments and predicaments and who can understand the pain and discomfort felt by the patient. This provides validation for the patient and patients experiences. How does this homophily impacts patient empowerment? This question has been explored in this study. The methodology is based on an online survey of patients visiting such online platforms. In all 701 patients provided the data. Independent variable (homophily) and dependent variable (patient empowerment) have been measured using a 7-point Likert scale. Findings provide that both are weakly correlated, but this correlation is significant. Regression analysis led to a regression model that is fit statistically. This provides basis to encourage patients to visit online support groups. The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2025. Subject The topic of the resource Homophily; Online health communities; Online patient support groups; Patient empowerment Publisher An entity responsible for making the resource available Springer Science and Business Media Deutschland GmbH Relation A related resource ISSN: 18761100; ISBN: 978-981976464-8; Language A language of the resource English Type The nature or genre of the resource Conference paper Rights Information about rights held in and over the resource Restricted Access; Hardcopy may be available in the library 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 Faculty Publications Editorial Faculty Publications- Editorial 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/. Creator An entity primarily responsible for making the resource Pandit, Manjaree; Gaur, M.K.; Kumar, Sandeep; Shorif Uddin, Mohammad Title A name given to the resource Preface Date A point or period of time associated with an event in the lifecycle of the resource 01-01-2026 Source A related resource from which the described resource is derived Lecture Notes in Networks and Systems;Volume;1937 LNNS;pp.v-vi Identifier An unambiguous reference to the resource within a given context <a href="https://www.scopus.com/pages/publications/105038528173?origin=resultslist" target="_blank" rel="noreferrer noopener">https://www.scopus.com/pages/publications/105038528173?origin=resultslist</a> Coverage The spatial or temporal topic of the resource, the spatial applicability of the resource, or the jurisdiction under which the resource is relevant Pandit M., Department of Electrical Engineering, Madhav Institute of Technology and Science, Madhya Pradesh, Gwalior, India; Gaur M.K., Department of Mechanical Engineering, Madhav Institute of Technology and Science, Madhya Pradesh, Gwalior, India; Kumar S., Department of AI and Data Science Engineering, School of Engineering and Technology, CHRIST (Deemed to be University), Karnataka, Bangalore, India; Shorif Uddin M., Department of Computer Science and Engineering, Jahangirnagar University, Dhaka, Bangladesh Description An account of the resource [No abstract available] Publisher An entity responsible for making the resource available Springer Science and Business Media Deutschland GmbH Relation A related resource ISSN: 23673370; ISBN: 978-303223576-3; Language A language of the resource English Type The nature or genre of the resource Editorial Rights Information about rights held in and over the resource Restricted Access; Hardcopy may be available in the library 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 Gucchi (Morchella esculenta) Description An account of the resource This chapter focuses on Morchella esculenta as a nutraceutical and functional food, its habit, habitat, general characteristics, availability, biologically active compounds present and pharmacological and medicinal value. Mushrooms are spore-bearing fleshy fruiting bodies of fungus often present above the ground. Greeks and Romans included mushrooms in their diet. Romans considered mushrooms as the food of supernatural beings, despite the Chinese contemplating them as the elixir of the human being. Functional foods that are prepared from morel mushrooms are of high medicinal properties. The production of M. esculenta worldwide is 1.5 million tonnes of fresh weight and 150 tonnes of dry weight. India and Pakistan are the major morel-producing countries and each country has about 50 tonnes of dry morels. The pharmacological properties of Morchella species show its use in Chinese traditional medicine since 2, 000 years and in Malaysia and Japan to cure several diseases. 2023 Deepu Pandita and Anu Pandita. Creator An entity primarily responsible for making the resource Pandita A.; Pandita D.; Pagadala J.C.; Vallinayagam S.; Inamdar B.; Manohar M.V.; Paladhi A.G.; Jacob S.; Devegowda D. Source A related resource from which the described resource is derived Mushrooms: Nutraceuticals and Functional Foods, pp. 254-273. 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 2023-01-01 Identifier An unambiguous reference to the resource within a given context <a href="https://doi.org/10.1201/9781003322238-16" target="_blank" rel="noreferrer noopener">https://doi.org/10.1201/9781003322238-16</a> <a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85151711360&doi=10.1201%2F9781003322238-16&partnerID=40&md5=881045d0d96b7cd68a5f3a5767238530" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85151711360&doi=10.1201%2f9781003322238-16&partnerID=40&md5=881045d0d96b7cd68a5f3a5767238530</a> Rights Information about rights held in and over the resource Restricted Access Relation A related resource ISBN: 978-100088432-6; 978-103234453-9 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 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 Pandita A., Vatsalya Clinic, Krishna Nagar, New Delhi, 110051, India; Pandita D., Government Department of School Education, Jammu and Kashmir, Jammu, 180001, India; Pagadala J.C., Department of Plant Sciences, University of Hyderabad Gachibowli, Telangana, Hyderabad, 500046, India; Vallinayagam S., Department of Biotechnology, Vel Tech Rangarajan Dr. Sagunthala RandD Institute of Science and Technology, Chennai, India; Inamdar B., JSS Medical College (Deemed to be University), Karnataka, Mysuru, India; Manohar M.V., JSS Medical College (Deemed to be University), Karnataka, Mysuru, India; Paladhi A.G., CHIRST (Deemed to be University), Karnataka, Bengaluru, India; Jacob S., CHIRST (Deemed to be University), Karnataka, Bengaluru, India; Devegowda D., Centre of Excellence in Molecular Biology and Regenerative Medicine, Department of Biochemistry, JSS Medical College, JSS Academy of Higher Education and Research, Mysuru, 15, 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 Hybrid Convolutional Neural Network and Extreme Learning Machine for Kidney Stone Detection Subject The topic of the resource Convolutional Neural Network (CNN); Extreme Learning Machine (ELM) Description An account of the resource When it comes to diagnosing structural abnormalities including cysts, stones, cancer, congenital malformations, swelling, blocking of urine flow, etc., ultrasound imaging plays a key role in the medical sector. Kidney detection is tough due to the presence of speckle noise and low contrast in ultrasound pictures. This study presents the design and implementation of a system for extracting kidney structures from ultrasound pictures for use in medical procedures such as punctures. To begin, a restored input image is used as a starting point. After that, a Gabor filter is used to lessen the impact of the speckle noise and refine the final image. Improving image quality with histogram equalization. Cell segmentation and area based segmentation were chosen as the two segmentation methods to compare in this investigation. When extracting renal regions, the region-based segmentation is applied to obtain optimal results. Finally, this study refines the segmentation and clip off just the kidney area and training the model by using CNN-ELM model. This method produces an accuracy of about 98.5%, which outperforms CNN and ELM models. 2023 IEEE. Creator An entity primarily responsible for making the resource Pandiya Rajan G.; Sapra P.; Mary S.S.C.; Chauhan A.; Parte S.A.; Nishant N. Source A related resource from which the described resource is derived Proceedings of the 2023 2nd International Conference on Electronics and Renewable Systems, ICEARS 2023, pp. 936-942. 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/ICEARS56392.2023.10085243" target="_blank" rel="noreferrer noopener">https://doi.org/10.1109/ICEARS56392.2023.10085243</a> <a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85153345168&doi=10.1109%2FICEARS56392.2023.10085243&partnerID=40&md5=8472201c44133b48bbbc0b174830a7c6" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85153345168&doi=10.1109%2fICEARS56392.2023.10085243&partnerID=40&md5=8472201c44133b48bbbc0b174830a7c6</a> Rights Information about rights held in and over the resource Restricted Access Relation A related resource ISBN: 979-835034664-0 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 Pandiya Rajan G., Kpr Institute of Engineering & Technology, Department of Computer Science and Engineering (AIML), Tamilnadu, Coimbatore, India; Sapra P., Rayat Bahara University, Computer Science and Engineering, Punjab, Mohali, India; Mary S.S.C., Panimalar Engineering College, Department of Information Technology, Tamilnadu, Chennai, India; Chauhan A., Christ (Deemed to Be University), Department of Life Sciences, Karnataka, Bengaluru, India; Parte S.A., Mits, Department of Computer Science and Engineering, Madhya Pradesh, Gwalior, India; Nishant N., Babu Banarasi das University, School of Engineering, Department of Computer Science and Engineering, Uttar Pradesh, Lucknow, 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 Phishing attack detection using Machine Learning Subject The topic of the resource Machine learning; Phishing; Random forest classification Description An account of the resource Phishing is a type of digital assault, which adversely affects people where the client is coordinated to counterfeit sites and hoodwinked to screen their touchy and private data which integrates watchwords of records, monetary data, ATM pin-card data, etc. Recently safeguarding touchy records, it's fragile to cover yourself from malware or web phishing. AI is an investigation of information examination and logical investigation of calculations has demonstrated outcomes. Contradicting phishing sprinters with remarkable perception and felonious outcomes comparable as care shops, and custom against phishing approaches. This paper examines the association of Machine Literacy routes in identifying phishing assaults and records their advantages and drawbacks. There are countless Machine Learning calculations that have been dug to proclaim the relevant decision that act as against phishing apparatuses. We made a phishing section framework that extracts capacities that are expected to descry phishing. We likewise utilize numeric outline, as well as an overall investigation of customary Machine Learning methodologies comparable as Decision Tree, Random Forest, Multi-layer Perceptron's, XG Boost Classifier, SVM, Light BGM Classifier, Cat Boost Classifier, and covering grounded highlights choice, which contains the metadata of URLs and assists with deciding if a site is licit or not. 2022 The Authors Creator An entity primarily responsible for making the resource Pandiyan S S.; Selvaraj P.; Burugari V.K.; Benadit P J.; P K. Source A related resource from which the described resource is derived Measurement: Sensors, Vol-24 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.measen.2022.100476" target="_blank" rel="noreferrer noopener">https://doi.org/10.1016/j.measen.2022.100476</a> <a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85138991143&doi=10.1016%2Fj.measen.2022.100476&partnerID=40&md5=ad771e0a7b1d052f24f6131e0cdbfe45" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85138991143&doi=10.1016%2fj.measen.2022.100476&partnerID=40&md5=ad771e0a7b1d052f24f6131e0cdbfe45</a> Rights Information about rights held in and over the resource Restricted 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 Pandiyan S S., CHRIST (Deemed to Be University), Bangalore, India; Selvaraj P., School of CSE, VIT-AP University, Amaravati, India; Burugari V.K., Department of CSE, Koneru Lakshmaiah Education Foundation, K L University, Guntur, India; Benadit P J., CHRIST (Deemed to Be University), Bangalore, India; P K., Department of DSBS, SRM Institute of Science and Technology, Kattankulathur, Chennai, 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 Enhanced Pathfinder Algorithm for Optimal Integration of Solar Photovoltaics and Rapid Charging Stations in Low-Voltage Radial Feeders Subject The topic of the resource Electrical distribution network; EV Charging stations; Optimization; Pathfinder algorithm; Solar systems Description An account of the resource Most low-voltage (LV) feeders have large distribution losses, poor voltage profiles, and inadequate voltage stability margins owing to their radial construction and high R/X ratio branches, and they may not be able to handle substantial solar photovoltaics (SPVs) and EV penetration. Thus, optimal integration of SPVs and rapid charging stations (RCSs) can solve this problem. This paper offers an extended pathfinder algorithm (EPFA) with guiding elements and three followers' life lifestyle procedures based on animal foraging, exploitation, and killing. First, the EV load penetration was used to evaluate the LV feeder performance. Subsequently, the required RCSs and SPVs were appropriately integrated to match the EV load penetration and optimise feeder performance. An Indian 85-bus real-time system was used for simulations. The losses and GHG emissions increased by 150% and 80%, respectively, without the SPVs and RCS for zero-to-full EV load penetration. RCSs allocation alone reduced the losses by 40.1%, whereas simultaneous SPVs and RCSs allocation reduced the losses by 66%. However, the GHG emissions decreased by 13.7% and 54.33%, respectively. This study shows that SPVs and RCS can enhance the LV feeder performance both technically and environmentally. In contrast, EPFA outperformed the other algorithms in terms of the global solution and convergence time. The Author(s). Creator An entity primarily responsible for making the resource Pandraju T.K.S.; Janamala V. Source A related resource from which the described resource is derived Journal of Solar Energy Research, Vol-8, No. 4, pp. 1680-1690. Publisher An entity responsible for making the resource available University of Tehran 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/10.22059/jser.2023.359041.1300" target="_blank" rel="noreferrer noopener">https://doi.org/10.22059/jser.2023.359041.1300</a> <a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85179329340&doi=10.22059%2Fjser.2023.359041.1300&partnerID=40&md5=de54bd7417964b9eace7699139fdc6b7" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85179329340&doi=10.22059%2fjser.2023.359041.1300&partnerID=40&md5=de54bd7417964b9eace7699139fdc6b7</a> Rights Information about rights held in and over the resource Restricted Access Relation A related resource ISSN: 25883097 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 Pandraju T.K.S., Department of Electrical and Electronics Engineering, Dhanekula Institute of Engineering and Technology, Andhra Pradesh, Vijayawada, 521139, India; Janamala V., Department of Electrical and Electronics Engineering, School of Engineering and Technology, CHRIST (Deemed to be University), Karnataka, Bangalore, 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 Dynamic optimal network reconfiguration under photovoltaic generation and electric vehicle fleet load variability using self-adaptive butterfly optimization algorithm Subject The topic of the resource butterfly optimization algorithm; dynamic reconfiguration; electric vehicle fleet; electrical distribution network; power loss; renewable energy Description An account of the resource Currently, electrical distribution networks (EDNs) have used modern technologies to operate and serve many types of consumers such as renewable energy, energy storage systems, electric vehicles, and demand response programs. Due to the variability and unpredictability of these technologies, all these technologies have brought various challenges to the operation and control of EDNs. In this case, in order to operate effectively, it is inevitable that effective power redistribution is required in the entire network. In this paper, a multi-objective based dynamic optimal network reconfiguration (DONR) problem is formulated using power loss and voltage deviation index considering the hourly variation of load, photovoltaic (PV) power, and electric vehicle (EV) fleet load in the network. This paper introduces recently introduced meta-heuristic butterfly optimization algorithm (BOA) and it's improve variant of self-adaptive method (SABOA) for solving the DONR problem. The simulation study of IEEE 33-bus EDN under different conditions has proved the effectiveness of DONR, and its adoptability for real-time applications. In addition, by comparing different performance indicators (such as mean, standard deviation, variance, and average calculation time) of 50 independently run simulations, the efficiency of SABOA can be evaluated compared with other heuristic methods (HMs). Comparative studies show that SABOA is better than PSO, TLBO, CSA and FPA in the frequent occurrence of global optimal values. 2021 Walter de Gruyter GmbH, Berlin/Boston 2021. Creator An entity primarily responsible for making the resource Pandraju T.K.S.; Janamala V. Source A related resource from which the described resource is derived International Journal of Emerging Electric Power Systems, Vol-22, No. 4, pp. 423-437. Publisher An entity responsible for making the resource available De Gruyter Open Ltd 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/10.1515/ijeeps-2021-0009" target="_blank" rel="noreferrer noopener">https://doi.org/10.1515/ijeeps-2021-0009</a> <a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85107230791&doi=10.1515%2Fijeeps-2021-0009&partnerID=40&md5=3b3a492733af519b75a5c6a5eb7b4399" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85107230791&doi=10.1515%2fijeeps-2021-0009&partnerID=40&md5=3b3a492733af519b75a5c6a5eb7b4399</a> Rights Information about rights held in and over the resource Restricted Access Relation A related resource ISSN: 21945756 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 Pandraju T.K.S., Department of Electrical and Electronics Engineering, Dhanekula Institute of Engineering and Technology, Andhra Pradesh, Vijayawada, 521 139, India; Janamala V., Department of Electrical and Electronics Engineering, School of Engineering and Technology, CHRIST (Deemed to Be University), Karnataka, Bangalore, 560 074, 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 Self-adaptive Butterfly Optimization for Simultaneous Optimal Integration of Electric Vehicle Fleets and Renewable Distribution Generation Subject The topic of the resource Effective optimal network reconfiguration; Loss minimization; Radial distribution system; Self-adaptive butterfly optimization algorithm; Solar photovoltaic system Description An account of the resource Fuel prices and environmental concerns have prompted an increase in the use of electric vehicle (EV) technology in recent years. Charging stations (CSs) are a great way to support this shift to sustainability. This has increased the demand for EV charging on electrical distribution networks (EDNs). However, optimal EV charging stations along with renewable energy sources (RES) integration can maintain EDN performance. This paper proposes a novel hybrid approach based on self-adaptive butterfly optimization algorithm (SABOA) for optimal integration of EV CSs and RES problems under various EV load growth scenarios. A multi-objective function is created from distribution losses, GHG emissions, and VSI. The ideal locations for CSs and RES are found using SABOA while minimizing the proposed multi-objective function. The simulation results on IEEE 33-bus EDN validate the suggested technique's superiority in terms of global optima. This type of hybrid strategy is required for optimal real-time integration of EV CSs and RES, taking into account emerging high EV load penetrations. 2023, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. Creator An entity primarily responsible for making the resource Pandraju T.K.S.; Janamala V. Source A related resource from which the described resource is derived Lecture Notes in Networks and Systems, Vol-608, pp. 777-784. Publisher An entity responsible for making the resource available Springer Science and Business Media Deutschland GmbH Date A point or period of time associated with an event in the lifecycle of the resource 2023-01-01 Identifier An unambiguous reference to the resource within a given context <a href="https://doi.org/10.1007/978-981-19-9225-4_56" target="_blank" rel="noreferrer noopener">https://doi.org/10.1007/978-981-19-9225-4_56</a> <a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85150980450&doi=10.1007%2F978-981-19-9225-4_56&partnerID=40&md5=6adc21223a1c209ae0118129b9cd574b" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85150980450&doi=10.1007%2f978-981-19-9225-4_56&partnerID=40&md5=6adc21223a1c209ae0118129b9cd574b</a> Rights Information about rights held in and over the resource Restricted Access Relation A related resource ISSN: 23673370; ISBN: 978-981199224-7 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 Pandraju T.K.S., Department of Electrical and Electronics Engineering, Dhanekula Institute of Engineering and Technology, Andhra Pradesh, Vijayawada, 521 139, India; Janamala V., Department of Electrical and Electronics Engineering, School of Engineering and Technology, Christ (Deemed to be University), 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 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 Butterfly Optimization Algorithm-Based Optimal Sizing and Integration of Photovoltaic System in Multi-lateral Distribution Network for Interoperability Subject The topic of the resource Butterfly optimization algorithm; Interline-photovoltaic system; Interoperability; Loss minimization; Radial distribution system; Radiality constraint Description An account of the resource In this paper, a new and simple nature-inspired meta-heuristic search algorithm, namely butterfly optimization algorithm (BOA), is proposed for solving the optimal location and sizing of solar photovoltaic (SPV) system. An objective function for distribution loss minimization is formulated and minimized via optimally allocating the SPV system on themain feeder. At the first stage, the computational efficiency of BOA is compared with various other similar works and highlights its superiority in terms of global solution. In thesecond stage, the interoperability requirement of SPV system while determining the location and size of SPV system among multiple laterals in a distribution system is solved without compromises in radiality constraint. Various case studies on standard IEEE 33-bus system have shown the effectiveness of proposed concept of interline-photovoltaic (I-PV) system in improving the distribution system performance in terms of reduced losses and improved voltage profile via redistributing the feeder power flows effectively. 2021, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. Creator An entity primarily responsible for making the resource Pandraju T.K.S.; Janamala V. Source A related resource from which the described resource is derived Lecture Notes in Networks and Systems, Vol-204, pp. 201-209. 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/10.1007/978-981-16-1089-9_17" target="_blank" rel="noreferrer noopener">https://doi.org/10.1007/978-981-16-1089-9_17</a> <a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85111983112&doi=10.1007%2F978-981-16-1089-9_17&partnerID=40&md5=ce86335dbf3fd68bdd8949d9ee348f59" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85111983112&doi=10.1007%2f978-981-16-1089-9_17&partnerID=40&md5=ce86335dbf3fd68bdd8949d9ee348f59</a> Rights Information about rights held in and over the resource Restricted Access Relation A related resource ISSN: 23673370; ISBN: 978-981161088-2 Format The file format, physical medium, or dimensions of the resource Online Language A language of the resource English Type The nature or genre of the resource Conference paper Coverage The spatial or temporal topic of the resource, the spatial applicability of the resource, or the jurisdiction under which the resource is relevant Pandraju T.K.S., Department of Electrical and Electronics Engineering, Dhanekula Institute of Engineering & Technology, Vijayawada, Andhra Pradesh, 521139, India; Janamala V., Department of Electrical and Electronics Engineering, School of Engineering and Technology, Christ (Deemed to be University), Bangalore, Karnataka, 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 Caste, Cricket, and Community Fraternal Intersections in Blue Star Description An account of the resource [No abstract available] Creator An entity primarily responsible for making the resource Pandy S. Source A related resource from which the described resource is derived Economic and Political Weekly, Vol-59, No. 31, pp. 64-66. Publisher An entity responsible for making the resource available Economic and Political Weekly 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="" target="_blank" rel="noreferrer noopener"></a> <a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85200568397&partnerID=40&md5=cd35c55a81cf9d2accf3ffb622877f2d" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85200568397&partnerID=40&md5=cd35c55a81cf9d2accf3ffb622877f2d</a> Rights Information about rights held in and over the resource Restricted Access Relation A related resource ISSN: 129976 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 Pandy S., The Department of English and Cultural Studies, 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 Faculty Publications 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/. Creator An entity primarily responsible for making the resource Pang, Jiangbo; Chen, Yu; Wang, Lei; Song, Haoran; Yan, Yuangang; Hossiney, Nabil Title A name given to the resource Experimental Study on Warm Mix Asphalt Binders with a Focus on Rheological Performance Date A point or period of time associated with an event in the lifecycle of the resource 01-01-2025 Source A related resource from which the described resource is derived International Journal of Pavement Research and Technology; Identifier An unambiguous reference to the resource within a given context <a href="https://doi.org/10.1007/s42947-025-00547-y" target="_blank" rel="noreferrer noopener">https://doi.org/10.1007/s42947-025-00547-y</a> <a href="https://www.scopus.com/pages/publications/105004346533?origin=resultslist" target="_blank" rel="noreferrer noopener">https://www.scopus.com/pages/publications/105004346533?origin=resultslist</a> Coverage The spatial or temporal topic of the resource, the spatial applicability of the resource, or the jurisdiction under which the resource is relevant Pang J., Baiquan Branch of Shaanxi Transportation Holding Group Co., Ltd., Shaanxi Province, Ankang, 725000, China; Chen Y., School of Highway, Changan University, Middle Section of NanErhuan Road, Shaanxi Province, Xian, 710064, China; Wang L., Shaanxi Transportation Construction and Maintenance Engineering Co., Ltd., Shaanxi Province, Xian, 710075, China; Song H., School of Highway, Changan University, Middle Section of NanErhuan Road, Shaanxi Province, Xian, 710064, China; Yan Y., Shaanxi Transportation Construction and Maintenance Engineering Co., Ltd., Shaanxi Province, Xian, 710075, China; Hossiney N., Department of Civil Engineering, CHRIST (Deemed to be University), Karnataka, Kumbalgodu, Bengaluru, 560074, India Description An account of the resource Warm mix asphalt (WMA) mixtures have been increasingly used in road construction due to their energy saving and environmental protect benefits. However, unsuitable additives were often adopted due to their variability and it often led to poorer quality of asphalt pavements. In this study, nine asphalt samples from two categories of warm mix additives, including six organic and three chemical additives, were prepared. The rotational viscosity test, temperature sweep test, linear amplitude sweep test (LAS), and bending beam rheometer (BBR) test were employed to comprehensively evaluate the effect of warm mix additives on the viscosity-reduction effect, high-temperature performance, fatigue resistance, and low-temperature performance of WMA, respectively. The results showed that the viscosity- reduction effect of organic additives was more significant compared to chemical additives. Besides, organic additives were generally favorable to the high-temperature and fatigue resistance of asphalt binders, but their effects on the low-temperature performance of asphalt binders were highly variable. Chemical additives had a limited effect on the high-temperature and fatigue resistance of asphalt binders. Meanwhile, the chemical additives have a marginally positive and stable impact on the low-temperature performance of asphalt binders. The findings provided a comprehensive basis for the selection and application of warm mix additives. The Author(s), under exclusive licence to Chinese Society of Pavement Engineering 2025. Subject The topic of the resource Additives; Fatigue resistance; High-temperature performance; Low-temperature performance; Rotational viscosity; Warm mix asphalt Publisher An entity responsible for making the resource available Springer Relation A related resource ISSN: 19966814; Language A language of the resource English Type The nature or genre of the resource Article Rights Information about rights held in and over the resource Restricted Access; Hardcopy may be available in the library Format The file format, physical medium, or dimensions of the resource online 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 study of consumers' attitude towards online private label brands using the Tri - Component model Subject The topic of the resource Affective; Attitude; Behavioural; Buying behaviour; Cognitive; Online retailing; Private label brands; Purchase intention Description An account of the resource Online private label products seem to be a promising and profitable deal for the Indian online retailers. The purpose of this paper was to understand the consumers' attitude and buying behaviour towards online private label brands. For this purpose, we empirically tested a model comprising of variables such as cognitive, affective, behavioural, purchase intention, and actual buying behaviour. Data were gathered by using a schedule. A sample of 400 respondents was gathered, and the hypotheses were tested by performing structural equation modelling. The findings highlighted that the cognitive, affective, and behavioural factors of attitude influenced each other strongly as well as the purchase intention. In addition, the results obtained revealed that purchase intention led to the buying of online private label brands. It is expected that the findings of this study will enable the marketers of online private label brands to be more informed about the consumers' attitude formation process. Furthermore, it will help them to understand the areas related to private label brands, which need their attention. 1964-2018 Associated Management Consultants. Creator An entity primarily responsible for making the resource Pangriya R.; Kumar M.R. Source A related resource from which the described resource is derived Indian Journal of Marketing, Vol-48, No. 5, pp. 7-20. Publisher An entity responsible for making the resource available Associated Management Consultants Pvt. Ltd. Date A point or period of time associated with an event in the lifecycle of the resource 2018-01-01 Identifier An unambiguous reference to the resource within a given context <a href="https://doi.org/10.17010/ijom/2018/v48/i5/123440" target="_blank" rel="noreferrer noopener">https://doi.org/10.17010/ijom/2018/v48/i5/123440</a> <a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85048005938&doi=10.17010%2Fijom%2F2018%2Fv48%2Fi5%2F123440&partnerID=40&md5=4b77f36ac8912886e5707a7f05699a99" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85048005938&doi=10.17010%2fijom%2f2018%2fv48%2fi5%2f123440&partnerID=40&md5=4b77f36ac8912886e5707a7f05699a99</a> Rights Information about rights held in and over the resource Restricted Access Relation A related resource ISSN: 9738703 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 Pangriya R., Institute of Management, Christ University, Bangalore, Karnataka, 560 029, India; Kumar M.R., Institute of Management, Christ University, Bangalore, Karnataka, 560 029, India Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource 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 Sentiment analysis on social media data using intelligent techniques Subject The topic of the resource Convolutional Neural Networks (CNN); Emotions; Machine Learning; Multi-layer Perceptron (MLP); Sentiment Analysis Description An account of the resource Social media gives a simple method of communication technology for people to share their opinion, attraction and feeling. The aim of the paper is to extract various sentiment behaviour and will be used to make a strategic decision and also aids to categorize sentiment and affections of people as clear, contradictory or neutral. The data was preprocessed with the help of noise removal for removing the noise. The research work applied various techniques. After the noise removal, the popular classification methods were applied to extract the sentiment. The data were classified with the help of Multi-layer Perceptron (MLP), Convolutional Neural Networks (CNN). These two classification results were checked against the others classified such as Support Vector Machine (SVM), Random Forest, Decision tree, Nae Bayes, etc., based on the sentiment classification from twitter data and consumer affairs website. The proposed work found that Multi-layer Perceptron and Convolutional Neural Networks performs better than another Machine Learning Classifier. International Research Publication House. Creator An entity primarily responsible for making the resource Panguila K.F.M.; Chandra J. Source A related resource from which the described resource is derived International Journal of Engineering Research and Technology, Vol-12, No. 3, pp. 440-445. Publisher An entity responsible for making the resource available International Research Publication House Date A point or period of time associated with an event in the lifecycle of the resource 2019-01-01 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-s2.0-85064499954&partnerID=40&md5=4f3bcc4336e5300c3c63560976d67b80" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85064499954&partnerID=40&md5=4f3bcc4336e5300c3c63560976d67b80</a> Rights Information about rights held in and over the resource Restricted Access Relation A related resource ISSN: 9743154 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 Panguila K.F.M., Department of Computer Science, CHRIST (Deemed to be University), India; Chandra J., Department of Computer Science, CHRIST (Deemed to be University), 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 efficient load balancing in cloud computing using hybrid Harris hawks optimization and cuckoo search algorithm Subject The topic of the resource Cloud computing; Hybrid Harris hawks optimization-cuckoo search algorithm; Load balancing; Quality of service; Service level agreement; Task scheduling Description An account of the resource Cloud computing has rapidly emerged as a burgeoning research field in recent times. However, despite this growth, a comprehensive examination of this domain reveals persistent issues in the application of cloud-based systems concerning workload distribution. The abundance of resources and virtual machines (VMs) within cloud computing underscores the importance of efficient task allocation as a critical process. Within the infrastructure as a service (IaaS) architecture, load balancing (LB) remains a pivotal but challenging task. The occurrence of overloaded or underloaded hosts/servers during cloud access is undesirable, as it leads to operational delays and system performance degradation. To address LB issues effectively, it is imperative to deploy a proficient access scheduling algorithm capable of distributing tasks across the available resources. A novel approach was introduced by combining the Harris hawks optimization and cuckoo search algorithm (HHO-CSA), with a specific focus on critical service level agreement (SLA) parameters, particularly deadlines, to uphold LB in a cloud environment. The primary objective of the hybrid HHO-CSA methodology is to provide task attributes, resource allocation, VMs prioritization, and quality of service (QoS) to clients within cloud computing applications. The outcome analysis reveals that the proposed hybrid HHO-CSA algorithm results in a resource utilization reduction of 52%, with an execution time of 529.84 ms and a makespan of 638.88 ms. These values outperform those of existing SLA-based LB algorithms. Effective task scheduling plays a pivotal role in ensuring the seamless execution of tasks within a cloud system, while LB significantly aligns with the SLAs available to users. Drawing insights from the existing literature, the suggested hybrid HHO-CSA method addresses the research gap by effectively mitigating the challenges. 2023, Accent Social and Welfare Society. All rights reserved. Creator An entity primarily responsible for making the resource Pani A.K.; Manohar M.; Thomas M.; Kumar P. Source A related resource from which the described resource is derived International Journal of Advanced Technology and Engineering Exploration, Vol-10, No. 105, pp. 1050-1062. Publisher An entity responsible for making the resource available Accent Social and Welfare Society Date A point or period of time associated with an event in the lifecycle of the resource 2023-01-01 Identifier An unambiguous reference to the resource within a given context <a href="https://doi.org/10.19101/IJATEE.2022.10100466" target="_blank" rel="noreferrer noopener">https://doi.org/10.19101/IJATEE.2022.10100466</a> <a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85170093103&doi=10.19101%2FIJATEE.2022.10100466&partnerID=40&md5=2d5945e0d43fea281fa5081d2e64e705" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85170093103&doi=10.19101%2fIJATEE.2022.10100466&partnerID=40&md5=2d5945e0d43fea281fa5081d2e64e705</a> Rights Information about rights held in and over the resource All Open Access; Gold Open Access Relation A related resource ISSN: 23945443 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 Pani A.K., Department of Computer Science and Engineering, CHRIST (Deemed to be University), Bengaluru, India; Manohar M., Department of Computer Science and Engineering, CHRIST (Deemed to be University), Bengaluru, India; Thomas M., School of Computer Science, RV University, Bengaluru, India; Kumar P., Department of Computer Science and Engineering, Motihari College of Engineering, Bihar, 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 Inverse Hilbert Fractal-Metamaterial Rings for Microstrip Antennas and Wideband Applications Description An account of the resource A Novel Metamaterial (MTM) property is obtained using a fractal pattern known as Inverse Hilbert. The Mu-negative(MNG) characteristics have been recovered by adopting NRW method. This MTM characteristic is studied for 2.45 GHz using FR4 epoxy as substrate. The dimension of the substrate is 30mm36mm 1.6mm. This fractal metamaterial structure can be amalgamated with an optimized Microstrip antenna (MSA) for improvement in antenna parameters and can be used for RF energy harvesting. 2022 IEEE. Creator An entity primarily responsible for making the resource Panicker R.; Suganthi S. Source A related resource from which the described resource is derived 2022 IEEE International Symposium on Antennas and Propagation and USNC-URSI Radio Science Meeting, AP-S/URSI 2022 - Proceedings, pp. 1398-1399. 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 2022-01-01 Identifier An unambiguous reference to the resource within a given context <a href="https://doi.org/10.1109/AP-S/USNC-URSI47032.2022.9887154" target="_blank" rel="noreferrer noopener">https://doi.org/10.1109/AP-S/USNC-URSI47032.2022.9887154</a> <a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85139784645&doi=10.1109%2FAP-S%2FUSNC-URSI47032.2022.9887154&partnerID=40&md5=1c419121360417ee58694deab38866f0" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85139784645&doi=10.1109%2fAP-S%2fUSNC-URSI47032.2022.9887154&partnerID=40&md5=1c419121360417ee58694deab38866f0</a> Rights Information about rights held in and over the resource Restricted Access Relation A related resource ISBN: 978-166549658-2 Format The file format, physical medium, or dimensions of the resource Online Language A language of the resource English Type The nature or genre of the resource Conference paper Coverage The spatial or temporal topic of the resource, the spatial applicability of the resource, or the jurisdiction under which the resource is relevant Panicker R., Christ University, Bangalore, India; Suganthi S., 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 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 Progression of Metamaterial for Microstrip Antenna Applications: A Review Subject The topic of the resource Fractal; Metamaterial; Nicolson-Ross-Weir (NRW) method; Split ring resonators (SRRs) Description An account of the resource This article provides an overview of the evolution of metamaterials (MTM) and all the aspects related to metamaterial development for antenna applications. It will be a useful collection of information for antenna researchers working in metamaterials applications. It gives an insight into the various metamaterial structures utilized along with miniature antenna designs. Different types of design parameters studied by the previous researchers are showcased to understand better perception of the metamaterial usage. 2022, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. Creator An entity primarily responsible for making the resource Panicker R.; Suganthi S. Source A related resource from which the described resource is derived Smart Innovation, Systems and Technologies, Vol-289, pp. 193-201. 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/10.1007/978-981-19-0011-2_18" target="_blank" rel="noreferrer noopener">https://doi.org/10.1007/978-981-19-0011-2_18</a> <a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85132011262&doi=10.1007%2F978-981-19-0011-2_18&partnerID=40&md5=01c027dff4dc7b440b9702aee6768df0" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85132011262&doi=10.1007%2f978-981-19-0011-2_18&partnerID=40&md5=01c027dff4dc7b440b9702aee6768df0</a> Rights Information about rights held in and over the resource Restricted Access Relation A related resource ISSN: 21903018; ISBN: 978-981190010-5 Format The file format, physical medium, or dimensions of the resource Online Language A language of the resource English Type The nature or genre of the resource Conference paper Coverage The spatial or temporal topic of the resource, the spatial applicability of the resource, or the jurisdiction under which the resource is relevant Panicker R., Christ University, Bangalore, India; Suganthi S., RF & Microwave Research Laboratory, Electronics, and Communication Engineering, Christ University, Bangalore, India