347 20 16488 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 Umamaheswari; Kannan; Rozario, Juliet; Manimekala Title A name given to the resource Exploration of digital image tampering detection using CNN with modified particle swarm optimization in deep learning 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 Bulletin of Electrical Engineering and Informatics;Volume;14;Issue;3;pp.1981-1989 Identifier An unambiguous reference to the resource within a given context <a href="https://doi.org/10.11591/eei.v14i3.9400" target="_blank" rel="noreferrer noopener">https://doi.org/10.11591/eei.v14i3.9400</a> <a href="https://www.scopus.com/pages/publications/105005260385?origin=resultslist" target="_blank" rel="noreferrer noopener">https://www.scopus.com/pages/publications/105005260385?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 Umamaheswari, Department of Computer Science, Christ University, Bangalore, India; Kannan, Department of Computer Science, Christ University, Bangalore, India; Rozario J., Department of Computer Science, Christ University, Bangalore, India; Manimekala, Department of Computer Science, Christ University, Bangalore, India Description An account of the resource The field of image processing is crucial for many different applications, including forensic evidence, insurance claims, medical imaging, bio-informatics, artifact collection and more. In many sectors nowadays, digital photographs are regarded as a trustworthy source of information. The manipulation of such photographs leads to a variety of issues. The study presents a method using convolutional neural networks (CNN) combined with modified particle swarm optimization (MPSO) to improve the accuracy of tampering detection. This advancement contributes to improved reliability in fields requiring image authenticity verification, such as forensics and media. The design includes the collection of a dataset comprising both original and tampered images for training and testing the model. A dataset, such as the Media Integration and Communication Center (MICC) dataset, is utilized, which includes various images that have been altered through different tampering techniques. This dataset serves as the foundation for training the CNN and evaluating its performance The findings indicate that the proposed MPSO_CNN method outperforms traditional techniques in terms of precision, accuracy, recall, and F-measure, demonstrating its effectiveness in identifying tampered images. The results highlight the significance of using advanced deep learning techniques for reliable image authenticity verification. 2025, Institute of Advanced Engineering and Science. All rights reserved. Subject The topic of the resource Convolutional neural networks; Deep learning; Ensemble learning; Image tampering; Particle swarm optimization Publisher An entity responsible for making the resource available Institute of Advanced Engineering and Science Relation A related resource ISSN: 20893191; 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 All Open Access; Gold Open Access 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 Exploration of low heat rejection engine characteristics powered with carbon nanotubes-added waste plastic pyrolysis oil Subject The topic of the resource Low heat rejection engine; Nanoadditive; NOx reduction; Pyrolysis process; Waste plastic oil Description An account of the resource Compression ignition (CI)-powered alternative energy sources are currently the main focus due to the constantly rising worldwide demand for energy and the growing industrialization of the automotive sector. Due to their difficulty of disposal, non-degradable plastics contribute significantly to solid waste and pollution. The waste plastics were simply dropped into the sea, wasting no energy in the process. Attempts have been made to convert plastic waste into usable energy through recycling. Waste plastic oil (WPO) is produced by pyrolyzing waste plastic to produce a fuel that is comparable to diesel. Initially, a standard CI engine was utilized for testing with diesel and WPO20 (20% WPO+80% diesel). When compared to conventional fuel, the brake thermal efficiency (BTE) of WPO20 dropped by 3.2%, although smoke, carbon monoxide (CO), and hydrocarbon (HC) emissions were reasonably reduced. As a result, nitrogen oxide (NOx) emissions decreased while HC and CO emissions marginally increased in subsequent studies utilizing WPO20 with the addition of 5% water. When combined with WPO20 emulsion, nanoadditives have the potential to significantly cut HC and CO emissions without impacting performance. The possibility of incorporating nanoparticles into fuel to improve performance and lower NOx emissions should also be explored. In order to reduce heat loss through the coolant, prevent heat transfer into the cylinder liner, and increase combustion efficiency, the thermal barrier coating (TBC) material is also coated inside the combustion chamber surface. In this work, low heat rejection (LHR) engines powered by emulsion WPO20 containing varying percentages of carbon nanotubes (CNT) are explored. The LHR engine was operated with a combination of 10 ppm, 20 ppm, and 30 ppm CNT mixed with WPO20. It was shown that while using 20 ppm of CNT with WPO20, smoke, hydrocarbons, and carbon monoxide emissions were reduced by 11.9%, 21.8%, and 22.7%, respectively, when compared to diesel operating in normal mode. The LHR engine achieved the greatest BTE of 31.7% as a result of the improved emulsification and vaporization induced by CNT-doped WPO20. According to the study's findings, WPO20 with 20 ppm CNT is the most promising low-polluting fuel for CI engines. 2023 The Institution of Chemical Engineers Creator An entity primarily responsible for making the resource Murugesan P.; Elumalai P.V.; Balasubramanian D.; Padmanabhan S.; Murugunachippan N.; Afzal A.; Sharma P.; Kiran K.; Femilda Josephin J.S.; Varuvel E.G.; Tuan Le T.; Truong T.H. Source A related resource from which the described resource is derived Process Safety and Environmental Protection, Vol-176, pp. 1101-1119. Publisher An entity responsible for making the resource available Institution of Chemical Engineers Date A point or period of time associated with an event in the lifecycle of the resource 2023-01-01 Identifier An unambiguous reference to the resource within a given context <a href="https://doi.org/10.1016/j.psep.2023.06.051" target="_blank" rel="noreferrer noopener">https://doi.org/10.1016/j.psep.2023.06.051</a> <a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85164324595&doi=10.1016%2Fj.psep.2023.06.051&partnerID=40&md5=ce9ea8590820eeac078bf3b1b4e7b68c" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85164324595&doi=10.1016%2fj.psep.2023.06.051&partnerID=40&md5=ce9ea8590820eeac078bf3b1b4e7b68c</a> Rights Information about rights held in and over the resource Restricted Access Relation A related resource ISSN: 9575820 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 Murugesan P., Sankar Advanced Mobility Solution Private Limited, Mel Ayanambakkam, Ambattur Industrial Estate, Tamil Nadu, Chennai, 600095, India; Elumalai P.V., Department of Mechanical Engineering, Aditya Engineering College, Andhra Pradesh, India; Balasubramanian D., Department of Mechanical Engineering, Mepco Schlenk Engineering College, Tamilnadu, India; Padmanabhan S., Department of Automobile Engineering, Vel Tech Rangarajan Dr.Sagunthala R&D Institute of Science and Technology, Chennai, India; Murugunachippan N., Department of Automobile Engineering, Vel Tech Rangarajan Dr.Sagunthala R&D Institute of Science and Technology, Chennai, India; Afzal A., Department of Mechanical Engineering, P. A. College of Engineering (Affiliated to Visvesvaraya Technological University, Belagavi), Mangaluru, India, University Centre for Research & Development, Department of Mechanical Engineering, Chandigarh University, Gharuan, Mohali; Sharma P., Mechanical Engineering Department, Delhi Skill and Entrepreneurship University, Delhi, 110089, India; Kiran K., Department of Mechanical and Automobile Engineering, CHRIST University, Bangalore, India; Femilda Josephin J.S., Department of Computer Engineering, Faculty of Engineering and Natural Sciences, Istinye University, Istanbul, Turkey; Varuvel E.G., Department of Mechanical Engineering, Faculty of Engineering and Natural Sciences, Istinye University, Istanbul, Turkey, Department of Automobile Engineering, SRM Institute of Science and Technology, Tamil Nadu, Kattankulathur, India; Tuan Le T., Institute of Engineering, HUTECH University, Ho Chi Minh city, Viet Nam; Truong T.H., PATET Research Group, Ho Chi Minh City University of Transport, Ho Chi Minh City, Viet Nam Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Articles Article Faculty Publications -Articles Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Exploration of non-linear thermal radiation and suspended nanoparticles effects on mixed convection boundary layer flow of nanoliquids on a melting vertical surface Subject The topic of the resource Melting surface; Mixed convection; Nanofluid; Nonlinear thermal radiation; Numerical solution; Nusselt number Description An account of the resource In this paper, the significance of increasing nonlinear thermal radiation on boundary layer flow of some nanofluids is deliberated upon. The effects of magnetic field, melting and viscous dissipation are also considered. The numerical results are obtained for governing flow equations and compared with the previously published results for a special case and found to be in excellent agreement. The effects of various physical parameters such as melting parameter, thermal radiation parameter, temperature ratio parameter and Eckert number on velocity and temperature profiles are analyzed through several plots. The numerical results of physical quantities of engineering interest such as skin friction coefficient and local Nusselt number are presented and discussed in detail. It is found that the nonlinear thermal radiation effect is favourable for heating processes than linear thermal radiation effect. Additionally, the moving parameter and melting parameter can be used to reduce the friction or drag forces. 2018 by American Scientific Publishers All rights reserved. Creator An entity primarily responsible for making the resource Mahanthesh B.; Gireesha B.J.; Animasaun I.L. Source A related resource from which the described resource is derived Journal of Nanofluids, Vol-7, No. 5, pp. 833-843. Publisher An entity responsible for making the resource available American Scientific Publishers 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/10.1166/jon.2018.1521" target="_blank" rel="noreferrer noopener">https://doi.org/10.1166/jon.2018.1521</a> <a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85047860408&doi=10.1166%2Fjon.2018.1521&partnerID=40&md5=d46d56a92594a5bf824c4be36f2fdd9b" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85047860408&doi=10.1166%2fjon.2018.1521&partnerID=40&md5=d46d56a92594a5bf824c4be36f2fdd9b</a> Rights Information about rights held in and over the resource Restricted Access Relation A related resource ISSN: 2169432X 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 Mahanthesh B., Department of Mathematics, Christ University, Bangalore, 560029, India; Gireesha B.J., Department of Studies and Research in Mathematics, Kuvempu University, Shankaraghatta, Shimoga, 577451, Karnataka, India; Animasaun I.L., Department of Mathematical Sciences, Federal University of Technology, Akure, 704, Nigeria https://archives.christuniversity.in/files/original/62ccbe8f37e478797cd065b0d27eb039.pdf 682e5fd6ba3daf485f9f6b9590dc882d 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 Exploration of Personal Identity Among Individuals with Multiple Inter-state Migration Experiences Creator An entity primarily responsible for making the resource Treesa Rafi Ann Date A point or period of time associated with an event in the lifecycle of the resource 2012 Source A related resource from which the described resource is derived Psychology Description An account of the resource Migration is an increasingly common phenomenon for various reasons like economic betterment and educational purposes. Migration is also considered a life-event causing psychological distress. Individuals who migrate multiple times, are faced with a challenge of adapting to a new environment multiple times, thus having to give up and incorporate certain elements from the environment into the self, in turn altering their personal identity. This research is focused on exploring the personal identity of individuals who have undergone multiple interstate migrations within India. Life histories of 12 individuals were taken and analysed using thematic analysis. The findings indicate that there are changes in various components of personal identity like certain changes within the family, development of a multicultural perspective, certain cognitive elements like divergent thinking and development of certain personal traits like acceptance. These individuals are highly adaptable to different kinds of environments. They do not have strong attachments with peers. Keywords: personal identity, multiple interstate migrations Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Articles Article Faculty Publications -Articles Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Exploration of the dual fuel combustion mode on a direct injection diesel engine powered with hydrogen as gaseous fuel in port injection and diesel-diethyl ether blend as liquid fuel Subject The topic of the resource Alternative fuel; Diesel engine; Diethyl ether (DEE); Dual fuel mode (DFM); Hydrogen Description An account of the resource The present study explores the possibilities of the use of diesel-diethyl ether (DDEE) blends as pilot fuel, and hydrogen (H2) as inducted gaseous fuel in a diesel engine operated on dual fuel mode (DFM). DEE was added to diesel in ratios of 525% in increasing steps of 5%, to prepare the DDEE5, DDEE10, DDEE15, DDEE20, and DDEE25 blends that were used as pilot fuel. In this current study, for hydrogen gas generation, a hydrogen production kit was fabricated which was powered by solar energy. The hydrogen gas was produced from the electrolysis of water-KOH solution. During the experiment, hydrogen was inducted through the engine intake port employing an electronic gas injector. The quantity of hydrogen injection was set constant of 0.2 lpm for all the test cases. DDEE-hydrogen (DDEE+H2) blends accomplished overall good results compared to diesel. DDEE20+H2 furnished optimal results compared to diesel and other DDEE+H2 blends. Peak cylinder pressure for DDEE20+H2 was 66.91 bar at 5.2oCA aTDC, and the maximum HRR was 32.75 J/deg.CA. Compared to diesel, the BTE of engine for DDEE20+H2 was augmented by about 0.6% and the BSFC was diminished by about 3.7%, at maximum load conditions. A decline in CO and HC emissions of 29.6%, and 35% were observed for DDEE20+H2 at maximum load condition, but the NO and CO2 emanation was observed to be higher by around 29.4%, and 17.4% in comparison to diesel respectively. 2023 Hydrogen Energy Publications LLC Creator An entity primarily responsible for making the resource Barik D.; Bora B.J.; Sharma P.; Medhi B.J.; Balasubramanian D.; Krupakaran R.L.; Ramegowda R.; Kavalli K.; Josephin JS F.; Vikneswaran M.; Varuvel E.G. Source A related resource from which the described resource is derived International Journal of Hydrogen Energy, Vol-52, pp. 827-840. Publisher An entity responsible for making the resource available Elsevier Ltd Date A point or period of time associated with an event in the lifecycle of the resource 2024-01-01 Identifier An unambiguous reference to the resource within a given context <a href="https://doi.org/10.1016/j.ijhydene.2023.06.083" target="_blank" rel="noreferrer noopener">https://doi.org/10.1016/j.ijhydene.2023.06.083</a> <a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85164002029&doi=10.1016%2Fj.ijhydene.2023.06.083&partnerID=40&md5=058716ae3fc1eebecd1a005ebaee3e0f" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85164002029&doi=10.1016%2fj.ijhydene.2023.06.083&partnerID=40&md5=058716ae3fc1eebecd1a005ebaee3e0f</a> Rights Information about rights held in and over the resource Restricted Access Relation A related resource ISSN: 3603199; CODEN: IJHED 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 Barik D., Department of Mechanical Engineering, Karpagam Academy of Higher Education, Coimbatore, 641021, India; Bora B.J., Energy Institute, Bengaluru, Centre of Rajiv Gandhi Institute of Petroleum Technology Bengaluru, Karnataka, 562157, India; Sharma P., Delhi Skill and Entrepreneurship University, Delhi, 110089, India; Medhi B.J., Assam Energy Institute, Centre of Rajiv Gandhi Institute of Petroleum Technology, Assam, Sivasagar, 785697, India; Balasubramanian D., Department of Mechanical Engineering, Mepco Schlenk Engineering College, Tamilnadu, Sivakasi, India; Krupakaran R.L., Department of Mechanical Engineering, Mohan Babu University, Tirupati, India; Ramegowda R., Department of Mechanical and Automobile Engineering, CHRIST University, Bengalore, India; Kavalli K., Department of Mechanical and Automobile Engineering, CHRIST University, Bengalore, India; Josephin JS F., Department of Computer Engineering, Faculty of Engineering and Natural Sciences, Istinye University, Istanbul, Turkey; Vikneswaran M., Department of Mechanical Engineering, E.G.S Pillay Engineering College, Tamilnadu, Nagapattinam, India; Varuvel E.G., Department of Mechanical Engineering, Faculty of Engineering and Natural Sciences, Istinye University, Istanbul, Turkey, Department of Automobile Engineering, SRM Institute of Science and Technology, Tamil Nadu, Kattankulathur, 603203, 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 Exploration of the effects of anisotropy and rotation on RayleighBard convection of nanoliquid-saturated porous medium using general boundary conditions Subject The topic of the resource anisotropy; Convection; general boundaries; nanoliquid; porous medium; rotation Description An account of the resource This paper presents an analysis of RayleighBard convection (RBC) of a Newtonian-nanoliquid-saturated anisotropic porous medium in the presence of rotation (RayleighBardTaylor convection). The investigation is performed using non-classical boundary conditions. The effect of various parameters on the onset of convection is presented graphically. The system sees stabilisation due to an increase in the rotation rate and thermal anisotropy parameter whereas the system destabilises due to an increase in the mechanical anisotropy parameter. The results of 82 limiting cases can be extracted from the current work. The results of free-free, rigid-free and rigid-rigid isothermal/adiabatic boundaries are obtained from the present study by considering appropriate limits. The results of the limiting cases of the present study are in excellent agreement with those observed in earlier investigations. 2024 Informa UK Limited, trading as Taylor & Francis Group. Creator An entity primarily responsible for making the resource Sakshath T.N.; Siddheshwar P.G. Source A related resource from which the described resource is derived International Journal of Ambient Energy, Vol-45, No. 1 Publisher An entity responsible for making the resource available Taylor and Francis Ltd. Date A point or period of time associated with an event in the lifecycle of the resource 2024-01-01 Identifier An unambiguous reference to the resource within a given context <a href="https://doi.org/10.1080/01430750.2024.2368103" target="_blank" rel="noreferrer noopener">https://doi.org/10.1080/01430750.2024.2368103</a> <a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85197449415&doi=10.1080%2F01430750.2024.2368103&partnerID=40&md5=65425c89b98fe9535cfba0dd4984d6bc" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85197449415&doi=10.1080%2f01430750.2024.2368103&partnerID=40&md5=65425c89b98fe9535cfba0dd4984d6bc</a> Rights Information about rights held in and over the resource Restricted Access Relation A related resource ISSN: 1430750; CODEN: IJAED Format The file format, physical medium, or dimensions of the resource Online Language A language of the resource English Type The nature or genre of the resource Article Coverage The spatial or temporal topic of the resource, the spatial applicability of the resource, or the jurisdiction under which the resource is relevant Sakshath T.N., Department of Mathematics, R V College of Engineering, Bengaluru, 560 059, India; Siddheshwar P.G., Centre for Mathematical Needs, Department of Mathematics, CHRIST (Deemed to be University), Bengaluru, 560 029, India Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Articles Article Faculty Publications -Articles Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Exploration of Thermophoresis and Brownian motion effect on the bio-convective flow of Newtonian fluid conveying tiny particles: Aspects of multi-layer model Subject The topic of the resource Bioconvection; Brownian motion; DTM-Pade approximation; gyrotactic microorganisms; multilayer flow; thermophoresis Description An account of the resource This research deals with the analysis of bioconvection caused by the movement of gyrotactic microorganisms. The multi-layer immiscible Newtonian fluid flowing through the vertical channel conveying tiny particles is accounted. The immiscible fluids are arranged in the form of a sandwich where the middle layer has a different base fluid that does not mix with the base fluid of the adjacent fluid layer. This separation of the fluid layers gives rise to the interface boundary conditions. Such flows have found applications in electronic cooling and solar reactors processes. Buongiornos model has been incorporated to design the mathematical model that describes the three-layer flows of Newtonian fluid conveying tiny (metal/oxide) particles under thermophoretic force and Brownian motion. The model thus formed is in the form of the ordinary differential system of equations that are solved using the DTM-Pade approximant after non-dimensionalization. The limited results have an excellent comparison with the existing literature results. The results are discussed through graphs and tables. It is seen that thermophoresis enhances the temperature and particle concentration of the fluid whereas, the Brownian motion is found to enhance the temperature and decrease the concentration. The presence of bioconvection helps in achieving enhanced energy and mass transportation. Moreover, the heat transfer occurring between the different base fluids helps to maintain the optimum temperature in the systems. IMechE 2022. Creator An entity primarily responsible for making the resource Anandika R.; Puneeth V.; Manjunatha S.; Shehzad S.A.; Arshad M. Source A related resource from which the described resource is derived Proceedings of the Institution of Mechanical Engineers, Part C: Journal of Mechanical Engineering Science, Vol-236, No. 19, pp. 10185-10199. Publisher An entity responsible for making the resource available SAGE Publications 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/10.1177/09544062221098537" target="_blank" rel="noreferrer noopener">https://doi.org/10.1177/09544062221098537</a> <a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85130995188&doi=10.1177%2F09544062221098537&partnerID=40&md5=ef9ac3fe9c15dd6f1f0070ec0b7e70e6" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85130995188&doi=10.1177%2f09544062221098537&partnerID=40&md5=ef9ac3fe9c15dd6f1f0070ec0b7e70e6</a> Rights Information about rights held in and over the resource Restricted Access Relation A related resource ISSN: 9544062; CODEN: PMCSE 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 Anandika R., Department of Mathematics, CHRIST (Deemed to Be University), Bengaluru, India; Puneeth V., Department of Mathematics, CHRIST (Deemed to Be University), Bengaluru, India; Manjunatha S., Department of Sciences and Humanities, CHRIST (Deemed to Be University), Bengaluru, India; Shehzad S.A., Department of Mathematics, COMSATS University Islamabad, Islamabad, Pakistan; Arshad M., Department of Mathematics, COMSATS University Islamabad, Islamabad, Pakistan 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 Explorations of the links between multiculturalism and religious diversity Description An account of the resource This chapter explores the complex intersections of multiculturalism and religious diversity in educational settings. It examines the religious landscape in the context of education and how religious diversity is addressed in educational policies and procedures. It discusses the role of faith in education, highlighting its importance and potential limitations. Furthermore, it explores the interplay between multiculturalism and religious diversity, identifying potential challenges and opportunities. Strategies for addressing these challenges and leveraging the opportunities are discussed, including intercultural dialogue, curriculum integration, and parent and community engagement. The chapter presents case studies that illustrate the complexities of multiculturalism and religious diversity in educational practices, analyzing their successes and challenges. Lessons learned from these case studies and implications for future practice are discussed, emphasizing the need for policy development, curriculum design, teacher training, and community engagement. 2023 by IGI Global. All rights reserved. Creator An entity primarily responsible for making the resource Singha S.; Singha R.; Ruben V.M. Source A related resource from which the described resource is derived The Role of Faith and Religious Diversity in Educational Practices, pp. 120-148. Publisher An entity responsible for making the resource available IGI Global Date A point or period of time associated with an event in the lifecycle of the resource 2023-01-01 Identifier An unambiguous reference to the resource within a given context <a href="https://doi.org/10.4018/978-1-6684-9184-3.ch006" target="_blank" rel="noreferrer noopener">https://doi.org/10.4018/978-1-6684-9184-3.ch006</a> <a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85173447911&doi=10.4018%2F978-1-6684-9184-3.ch006&partnerID=40&md5=7ac978cfbbcbb2472952814d7352ba92" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85173447911&doi=10.4018%2f978-1-6684-9184-3.ch006&partnerID=40&md5=7ac978cfbbcbb2472952814d7352ba92</a> Rights Information about rights held in and over the resource Restricted Access Relation A related resource ISBN: 978-166849185-0; 978-166849184-3 Format The file format, physical medium, or dimensions of the resource Online Language A language of the resource English Type The nature or genre of the resource 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 Singha S., Kristu Jayanti College (Autonomous), India; Singha R., Christ University (Deemed), India; Ruben V.M., Christ University (Deemed), 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 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 Tiwari, Akshra; Dass, Teresa Mahima; Tiwari, Vibha; Alapatt, Bosco Paul Title A name given to the resource Exploratory Analysis and Pattern Recognition in Energy Production and Demand: A Data-Driven Approach Using Multi-Source Energy Metrics 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 2025 International Conference on Engineering Innovations and Technologies, ICoEIT 2025;pp.1418-1423 Identifier An unambiguous reference to the resource within a given context <a href="https://doi.org/10.1109/ICoEIT63558.2025.11211558" target="_blank" rel="noreferrer noopener">https://doi.org/10.1109/ICoEIT63558.2025.11211558</a> <a href="https://www.scopus.com/pages/publications/105025045981?origin=resultslist" target="_blank" rel="noreferrer noopener">https://www.scopus.com/pages/publications/105025045981?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 Tiwari A., School of Sciences, Christ University, Delhi, India; Dass T.M., School of Sciences, Christ University, Delhi, India; Tiwari V., Centre for Artificial Intelligence, Madhav Inst. of Tech & Science, Gwalior, India; Alapatt B.P., School of Sciences, Christ University, Delhi, India Description An account of the resource Hydropower is a leading renewable energy source due to its high efficiency and low operational costs. However, it still faces significant environmental, operational, and forecasting challenges. This paper explores the use of machine learning (ML) models such as SARIMA, Random Forest (RF), and Neural Basis Expansion Analysis for Time Series (NBEATS) to optimize hydropower operations. By analyzing diverse data sets, including hydrometeorological data, plant operations, sensor inputs, and other energy production and demand metrics such as solar, wind, coal, nuclear, and storage, ML enhances decision-making in areas such as inflow forecasting, predictive maintenance, and environmental sustainability. The paper presents an exploratory analysis of 48 -hour energy production and demand patterns across multiple sources (Hydro, Coal, Solar, Wind, Nuclear, and Storage), offering insights into interdependencies and system behavior. It also reviews current ML applications in hydropower, highlights challenges such as data quality and model interpretability, and discusses emerging technologies such as reinforcement learning, explainable AI (XAI), and digital twins as promising future directions. 2025 IEEE. Publisher An entity responsible for making the resource available Institute of Electrical and Electronics Engineers Inc. Relation A related resource ISBN: 979-833152595-8; 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 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 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 Thulasi, V.; Sathya, P. Title A name given to the resource Exploratory Analysis of Anthropometric and Demographic Factors Influencing PCOS: A Study on BMI, Weight, and Waist Ratio 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;1638 LNNS;pp.181-196 Identifier An unambiguous reference to the resource within a given context <a href="https://doi.org/10.1007/978-981-95-3309-1_13" target="_blank" rel="noreferrer noopener">https://doi.org/10.1007/978-981-95-3309-1_13</a> <a href="https://www.scopus.com/pages/publications/105036735654?origin=resultslist" target="_blank" rel="noreferrer noopener">https://www.scopus.com/pages/publications/105036735654?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 Thulasi V., Christ (Deemed to be University), Bengaluru, India; Sathya P., Christ (Deemed to be University), Bengaluru, India Description An account of the resource Polycystic Ovary Syndrome (PCOS) is a prevalent endocrine disorder affecting women of reproductive age, often leading to hormonal imbalances, obesity, and an increased risk of metabolic and cardiovascular diseases. This study examines the impact of PCOS on anthropometric and demographic variables such as Body Mass Index (BMI), weight, height, and waist ratio, using a comprehensive dataset. By comparing these factors between individuals with and without PCOS, the study aims to identify significant differences and correlations, thereby contributing to a deeper understanding of PCOS and informing clinical management strategies. The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2026. Subject The topic of the resource Age distribution; Anthropometric measurements; BMI; Metabolic health; Polycystic Ovary Syndrome (PCOS); Weight Publisher An entity responsible for making the resource available Springer Science and Business Media Deutschland GmbH Relation A related resource ISSN: 23673370; ISBN: 978-981953308-4; 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 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 Exploratory analysis of legal case citation data using node embedding Subject The topic of the resource Graph embedding; Legal citation network; Network analysis; Node embed-ding, Node2vec Description An account of the resource Legal case citation network is primary tool to understand mutable landscape of the legal domain. These networks are also used to study legal knowledge transfer, similar precedents and inter-relationship among laws of a judiciary. These networks are often very huge and complex due to the multidimensional texture of this domain. In recent years, network embedding using deep learning emerges as a promising breakthrough for analyzing networks. This paper presents a novel approach of learning vector representation for a legal case based on its citation context in the network using node2vec algorithm. These vector embedding are further used in understanding similarities between cases. Paper highlights that the tSNE reduced representation of the obtained vectors facilitates visual exploration and provides insights into the complex citation network. Suitability of node embedding for application of machine learning algorithm is demonstrated by clustering the node vectors for finding similar cases. ICIC International 2019. Creator An entity primarily responsible for making the resource Lodha S.; Wagh R. Source A related resource from which the described resource is derived ICIC Express Letters, Vol-13, No. 10, pp. 883-889. Publisher An entity responsible for making the resource available ICIC International 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="https://doi.org/10.24507/icicel.13.10.883" target="_blank" rel="noreferrer noopener">https://doi.org/10.24507/icicel.13.10.883</a> <a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85072955918&doi=10.24507%2Ficicel.13.10.883&partnerID=40&md5=38f6f4a293acd4e6eb63fd2bd7b514aa" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85072955918&doi=10.24507%2ficicel.13.10.883&partnerID=40&md5=38f6f4a293acd4e6eb63fd2bd7b514aa</a> Rights Information about rights held in and over the resource Restricted Access Relation A related resource ISSN: 1881803X 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 Lodha S., Department of Computer Science, CHRIST (Deemed to Be University), Bangalore, Karnataka, 560029, India; Wagh R., Department of Computer Science, CHRIST (Deemed to Be University), Bangalore, Karnataka, 560029, India Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Articles Article Faculty Publications -Articles Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Exploratory Architectures Analysis of Various Pre-trained Image Classification Models for Deep Learning Subject The topic of the resource deep learning; image classification; neural network Description An account of the resource The image classification is one of the significant applications in the area of Deep Learning (DL) with respective to various sectors. Different types of neural network architectures are available to perform the image classification and each of which produces the different accuracy. The dataset and the features used are influence the outcome of the model. The research community is working towards the generalized model at least to the domain specific. On this gesture the contemporary survey of various Deep Learning models is identified using knowledge information management methods to move further to provide optimal architecture and also to generalized Deep Learning model to classify images narrow down to the sector specific. The study systematically presents the different types of architecture, its variants, layers and parameters used for each version of Deep Learning model. Domain specific applications and limitations of the type of architecture are detailed. It helps the researchers to select appropriate Deep Learning architecture for specific sector. 2024 by the authors. Creator An entity primarily responsible for making the resource Deepa S.; Zeema J.L.; Gokila S. Source A related resource from which the described resource is derived Journal of Advances in Information Technology, Vol-15, No. 1, pp. 66-78. Publisher An entity responsible for making the resource available Engineering and Technology Publishing Date A point or period of time associated with an event in the lifecycle of the resource 2024-01-01 Identifier An unambiguous reference to the resource within a given context <a href="https://doi.org/10.12720/jait.15.1.66-78" target="_blank" rel="noreferrer noopener">https://doi.org/10.12720/jait.15.1.66-78</a> <a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85183348264&doi=10.12720%2Fjait.15.1.66-78&partnerID=40&md5=835724298bb9f8c31d2fdd872094d8e3" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85183348264&doi=10.12720%2fjait.15.1.66-78&partnerID=40&md5=835724298bb9f8c31d2fdd872094d8e3</a> Rights Information about rights held in and over the resource All Open Access; Gold Open Access Relation A related resource ISSN: 17982340 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 Deepa S., Department of Computer Science, Christ University, Bangalore, India; Zeema J.L., Department of Computer Science, Christ University, Bangalore, India; Gokila S., Department of Computer Applications, Hindustan Institute of Technology and Science, 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 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 Manuel, Manju; Kanchi, Suvardhan; Losetty, Venkatramana Title A name given to the resource Exploring a GE/Nafion/Co-MOF nanosheets/CuO NPs/GOx powered electrochemical biosensor for ultrasensitive detection of rebaudioside A 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 Nanoscale Advances;Volume;8;Issue;1;pp.167-180 Identifier An unambiguous reference to the resource within a given context <a href="https://doi.org/10.1039/d5na00591d" target="_blank" rel="noreferrer noopener">https://doi.org/10.1039/d5na00591d</a> <a href="https://www.scopus.com/pages/publications/105022739012?origin=resultslist" target="_blank" rel="noreferrer noopener">https://www.scopus.com/pages/publications/105022739012?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 Manuel M., Department of Chemistry, CHRIST University, Bengaluru, 560 029, India, Centre for Renewable Energy and Environmental Sustainability, CHRIST University, Bengaluru, 560 029, India; Kanchi S., Department of Chemistry, CHRIST University, Bengaluru, 560 029, India, Centre for Renewable Energy and Environmental Sustainability, CHRIST University, Bengaluru, 560 029, India; Losetty V., Department of Chemistry, Vel Tech Rangarajan Dr Sagunthala R&D Institute of Science and Technology, Avadi, Chennai, 600 062, India Description An account of the resource Rebaudioside A (Reb A) is a natural, non-nutritive sweetener highly prevalent in the global sweetener market and widely preferred by consumers. In this study, an advanced electrochemical biosensor was developed for sensing Reb A, using a modified graphite rod electrode extracted from discharged ZnC batteries. The electrode was fabricated using a layer-by-layer strategy with Nafion, Co-MOF nanosheets, CuO NPs, and glucose oxidase (GOx) enzyme. The nanomaterials were characterized by UV-vis, FTIR, DLS, zeta potential measurements, XRD, Raman, SEM, TEM, EDS, and XPS techniques. Electrochemical characterization via Cyclic Voltammetry (CV) and Electrochemical Impedance Spectroscopy (EIS) revealed a significant enhancement in electrical conductivity and increased electroactive surface area. The designed biosensor exhibited a sharp oxidation peak at 0.16 V due to ester bond cleavage in Reb A, which was further amplified in the presence of GOx, resulting from hydroxyl oxidation and hydrogen peroxide generation. Differential pulse voltammetry (DPV) demonstrated a linear response over a concentration range of 2.014 M (R2 = 0.993) with a limit of detection (LOD) of 0.23 M. The sensor displayed excellent analytical performance, with repeatability, reproducibility (RSD = 3.9%), and stability. Additionally, recovery studies confirmed its accuracy, ranging from 97% to 98.17%. Further, the molecular docking studies confirmed strong Reb AGOx interactions (?7.26 kcal mol?1), supporting the biosensor's specificity. The developed biosensor demonstrates excellent analytical performance, making it highly suitable for routine laboratory analysis of sweeteners in complex food matrices. This journal is The Royal Society of Chemistry, 2026 Publisher An entity responsible for making the resource available Royal Society of Chemistry Relation A related resource ISSN: 25160230; 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 All Open Access; Gold Open Access; Green Open Access 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 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 Siddiqui, Ayesha Anam Irshad; Deshmukh, Prapti D.; Upreti, Kamal; Kumari, Puja; Nijhawan, Pratham Title A name given to the resource Exploring advancements in space object detection through computer vision 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 Smart Cyber-Physical Systems: Innovations and Real-World Implications;pp.1-19 Identifier An unambiguous reference to the resource within a given context <a href="https://doi.org/10.1201/9781003542513-1" target="_blank" rel="noreferrer noopener">https://doi.org/10.1201/9781003542513-1</a> <a href="https://www.scopus.com/pages/publications/105017511439?origin=resultslist" target="_blank" rel="noreferrer noopener">https://www.scopus.com/pages/publications/105017511439?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 Siddiqui A.A.I., G.Y. Pathrikar College of Computer Science and Information Technology, MGM University, Aurangabad, India; Deshmukh P.D., G.Y. Pathrikar College of Computer Science and Information Technology, MGM University, Aurangabad, India; Upreti K., Department of Computer Science, School of Sciences, CHRIST (Deemed to be University), Delhi NCR, India; Kumari P., Gautam Buddha University, Greater Noida, Uttar Pradesh, India; Nijhawan P., CHRIST (Deemed to be University), Delhi NCR, 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: 978-100354251-3; 978-103289293-1; 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 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 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 Exploring Advances in Machine Learning and Deep Learning for Anticipating Air Quality Index and Forecasting Ambient Air Pollutants: A Comprehensive Review with Trend Analysis Subject The topic of the resource air pollutants; AQI; Artificial Neural Network; Linear Regression; Prediction Description An account of the resource India and the rest of the world are growing more and more worried about polluted atmosphere on a daily basis. A comprehensive prevision and prognostication of air quality parameters is vital due to the major harm that air pollution causes to both the environment and public health, causing concern on a global scale. In-depth analyses of the methods for predicting ambient air pollutants, like carbon monoxide (CO), sulfur dioxide (SO2), nitrogen dioxide (NO2), particulate matter with diameters less than 10? (PM10) and less than 2.5? (PM2.5), and ozone (O3), are provided in this work in tandem with the modeling of the Air Quality Index (AQI).To further enhance the anticipated precision and applicability of these models, the assessment additionally employs trend analysis to determine precedents and new trends in air quality. This paper offers insights into recent advances in algorithms using deep learning and machine learning for anticipating AQI and forecasting pollutant concentrations by combining current research in this topic. In order to inform policy decisions and measures aimed at reducing air pollution and its adverse effects on public health, trend analysis integration affords a more thorough comprehension of the dynamics of air quality. 2024 IEEE. Creator An entity primarily responsible for making the resource Rajan D.; Rohini V. Source A related resource from which the described resource is derived 2024 15th International Conference on Computing Communication and Networking Technologies, ICCCNT 2024 Publisher An entity responsible for making the resource available Institute of Electrical and Electronics Engineers Inc. Date A point or period of time associated with an event in the lifecycle of the resource 2024-01-01 Identifier An unambiguous reference to the resource within a given context <a href="https://doi.org/10.1109/ICCCNT61001.2024.10725099" target="_blank" rel="noreferrer noopener">https://doi.org/10.1109/ICCCNT61001.2024.10725099</a> <a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85211171976&doi=10.1109%2FICCCNT61001.2024.10725099&partnerID=40&md5=81e37958607ee4de99469b0352c11b14" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85211171976&doi=10.1109%2fICCCNT61001.2024.10725099&partnerID=40&md5=81e37958607ee4de99469b0352c11b14</a> Rights Information about rights held in and over the resource Restricted Access Relation A related resource ISBN: 979-835037024-9 Format The file format, physical medium, or dimensions of the resource Online Language A language of the resource English Type The nature or genre of the resource Conference paper Coverage The spatial or temporal topic of the resource, the spatial applicability of the resource, or the jurisdiction under which the resource is relevant Rajan D., Christ (Deemed to be University), Department of computer science, Bangalore, India, Cmr Institute of Technology, Department of Mca, Bangalore, India; Rohini V., Christ (Deemed to be University), Department of computer science, Bangalore, India Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Book Chapter Book Chapter Faculty Publications- Book Chapter Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Exploring AI and ML Strategies for Crop Health Monitoring and Management Description An account of the resource This chapter offers a thorough examination of machine learning (ML) and artificial intelligence (AI) approaches designed especially for agricultural crop health monitoring. The story starts with a basic introduction to AI and ML ideas and then covers supervised and unsupervised learning approaches, the fundamentals of reinforcement learning, and the significance of high-quality data preparation in agricultural settings. This chapter explores the use of deep learning architectures and neural networks, explaining how they can be used to simulate human brain activity and how they can be used in picture identification to identify crop diseases. A detailed analysis is conducted of the practical aspects of ML for agriculture, encompassing feature engineering and model assessment methodologies. Additionally, the chapter highlights the ethical issues involved in the proper application of AI/ML models in agricultural contexts. These kinds of applications. In conclusion, the chapter discusses obstacles, offers predictions for future developments, and discusses new lines of inquiry for AI and ML research related to crop health monitoring. Through this thorough research, the chapter seeks to offer insightful information on the transformative potential of AI/ML approaches in supporting efficient and sustainable agriculture practices for improved crop health management. (Publisher name) (publishing year) all right reserved. Creator An entity primarily responsible for making the resource Nanjundan P.; Indu P.V.; Thomas L. Source A related resource from which the described resource is derived Sustainable Farming through Machine Learning Enhancing: Productivity and Efficiency, pp. 1-15. 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/10.1201/9781003484608-1" target="_blank" rel="noreferrer noopener">https://doi.org/10.1201/9781003484608-1</a> <a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85212009880&doi=10.1201%2F9781003484608-1&partnerID=40&md5=b37fce903fbdd9fb5fbe53860b9fef42" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85212009880&doi=10.1201%2f9781003484608-1&partnerID=40&md5=b37fce903fbdd9fb5fbe53860b9fef42</a> Rights Information about rights held in and over the resource Restricted Access Relation A related resource ISBN: 978-104025478-3; 978-103277749-8 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 Nanjundan P., Department of Data Science, CHRIST University, Pune Lavasa Campus, Maharashtra, Lavasa, India; Indu P.V., Department of Data Science, CHRIST University, Pune Lavasa Campus, Maharashtra, Lavasa, India; Thomas L., Department of Psychology, CHRIST University, Pune Lavasa Campus, Maharashtra, Lavasa, 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 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 Vinay, M.; Jayapriya, J.; Deepa, S.; Kokilavani, T.; Rashmi, R.; Dangayach, Harshit Title A name given to the resource Exploring AI-Driven Accessibility Solutions: A Comprehensive Study on Assistive Tools for the Visually Impaired 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 CCIC 2026 - Contemporary Computing Innovations Conference 2026; Identifier An unambiguous reference to the resource within a given context <a href="https://doi.org/10.1109/CCIC68129.2026.11486060" target="_blank" rel="noreferrer noopener">https://doi.org/10.1109/CCIC68129.2026.11486060</a> <a href="https://www.scopus.com/pages/publications/105038682375?origin=resultslist" target="_blank" rel="noreferrer noopener">https://www.scopus.com/pages/publications/105038682375?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 Vinay M., Christ (Deemed to be University), Department of Computer Science, Bangalore, India; Jayapriya J., Christ (Deemed to be University), Department of Computer Science, Bangalore, India; Deepa S., Christ (Deemed to be University), Department of Computer Science, Bangalore, India; Kokilavani T., Christ (Deemed to be University), Department of Computer Science, Bangalore, India; Rashmi R., Christ (Deemed to be University), Department of Computer Science, Bangalore, India; Dangayach H., Christ (Deemed to be University), Department of Computer Science, Bangalore, India Description An account of the resource Artificial intelligence (AI) has significant access to visually impaired persons, which enables more freedom in digital interactions. This article examines the role of AI-operated equipment, including chatbots, speech recognition, and natural language processing (NLP) models, to improve communication, education, and navigation for blind users. It undergoes the largest progress of AI-driven accessibility solutions, especially in examination and interactive virtual scriptures. Despite the remarkable progress, challenges in speech remain accreditation accuracy, user interface targeted, and real -time treatment efficiency. The study highlights the ongoing research trends, identifies significant intervals, and emphasizes the need for better training data, adaptive AI interfaces, and improved user experience to promote more inclusion in education and the professional environment. 2026 IEEE. Subject The topic of the resource Artificial Intelligence; education; NLP; scribe; speech recognition; visually impaired Publisher An entity responsible for making the resource available Institute of Electrical and Electronics Engineers Inc. Relation A related resource ISBN: 979-831952966-4; 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 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 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 Kumar, Santosh; Arora, Amit Kumar; Sharma, Prashant; Bag, Akash Title A name given to the resource Exploring AI-Driven Economic Decision Making and Role in Promoting Green Investment 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 AI and Automation in Green Investment Platforms: Next-Generation ESG;pp.169-184 Identifier An unambiguous reference to the resource within a given context <a href="https://doi.org/10.4018/979-8-3373-7138-2.ch009" target="_blank" rel="noreferrer noopener">https://doi.org/10.4018/979-8-3373-7138-2.ch009</a> <a href="https://www.scopus.com/pages/publications/105037781638?origin=resultslist" target="_blank" rel="noreferrer noopener">https://www.scopus.com/pages/publications/105037781638?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 Kumar S., Sharda University, India; Arora A.K., School of Business and Management, Christ University, Bengaluru, India; Sharma P., Dewan Institute of Management Studies, Meerut, India; Bag A., School of Law and Justice, Adamas University, Barasat, India Description An account of the resource Artificial Intelligence has assumed a disruptive role in the sphere of economic decision-making, specifically in the field of capital allocation towards green investments that would meet global sustainability requirements. Using machine-learning algorithms, neural networks, and big-data analytics, AI can offer greater accuracy in predicting economic patterns and risk assessment of the environment, and using AI can diversify portfolios with low-carbon assets, commercializing the old dichotomy between the financial value of profit and the eco-friendliness. This study discusses the transformations that AI-based tools are ready to make to the traditional economic paradigms, including the predictive analytics in terms of renewable-energy valuation, natural-language processing that would analyze sustainability reporting, or both in combination, a means of creating a paradigm shift where green investments would no longer be considered an act of charity, but rather a data-driven necessity of constructing long-term values. 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: 979-833737140-5; 979-833737138-2; 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 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 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 Bijeesh, T.V.; Bejoy, B.J.; Thiruthuvanthan, Michael Moses; Raju, G. Title A name given to the resource Exploring Applications, Datasets, Algorithms, and Technologies in Satellite Image Processing 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 Journal of Computer Science;Volume;21;Issue;9;pp.2029-2048 Identifier An unambiguous reference to the resource within a given context <a href="https://doi.org/10.3844/jcssp.2025.2029.2048" target="_blank" rel="noreferrer noopener">https://doi.org/10.3844/jcssp.2025.2029.2048</a> <a href="https://www.scopus.com/pages/publications/105023118979?origin=resultslist" target="_blank" rel="noreferrer noopener">https://www.scopus.com/pages/publications/105023118979?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 Bijeesh T.V., Department of Computer Science and Engineering, CHRIST University, India; Bejoy B.J., Department of Computer Science and Engineering, CHRIST University, India; Thiruthuvanthan M.M., Department of Artificial Intelligence, Machine Learning and Data Science, CHRIST University, India; Raju G., Department of Computer Science and Engineering, CHRIST University, India Description An account of the resource Amidst an era filled with complex local and global problems, satellite data presents itself as a revolutionary tool with unmatched potential to tackle practical problems in a variety of fields. This article investigates how satellite imagery, which is available through open data programs and repositories, is a valuable tool for applications including wildlife conservation, urban planning, precision agriculture, and disaster management. It highlights the unique perspective that satellite data offers. Various sources for data acquisition, the applications that are suitable for a chosen satellite data and commonly used algorithms and techniques are discussed. Through case studies, the paper demonstrates how quick and reliable data provided by satellites can be used to solve complex real-world problems. The benefits of satellite data are emphasized, including its affordability, ability to monitor in real-time, and ability to support sustainable behaviours and policy-making. The study explores cutting-edge technologies, highlighting cloud computing and GIS integration as well as machine learning algorithms to build robust solutions using satellite data. The immense potential of satellite data is accompanied by challenges, including data integration, computational complexity, and ethical considerations. These challenges underscore the need for standardization and continuous efforts to fully realize the potential of satellite data in sustainable development and informed decision-making. 2025 Bijeesh TV, Bejoy BJ, Michael Moses Thiruthuvanthan and Raju G. Subject The topic of the resource Classification; Deep Learning; Remote Sensing; Satellite Data Publisher An entity responsible for making the resource available Science Publications Relation A related resource ISSN: 15493636; 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 All Open Access; Hybrid Gold Open Access 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 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 Exploring ARIMA Models with Interacted Lagged Variables for Forecasting Subject The topic of the resource Autoregressive Integrated Moving Average model; Interactions among lagged variables Description An account of the resource Including interactions among the explanatory variables in regression models is a common phenomenon. However, including interactions existing among lagged variables in autoregressive models has not been explored so far. In this paper, Autoregressive Integrated Moving Average (ARIMA) model with interactions among the lagged variables is proposed for improving forecast accuracy. The methodology for identifying the interacted lagged variables and including them in the ARIMA model is suggested. Using five different data sets of different types, the paper explores the effect of interacted lagged variables in ARIMA model. The experimental results exhibit that when interactions do actually exist, ARIMA model with interactions improves the forecast accuracy as compared to ARIMA model without interactions. The Author(s), under exclusive license to Springer Nature Switzerland AG 2024. Creator An entity primarily responsible for making the resource Thangarajan B.; Nagaraja M.S.; Dhandra B.V. Source A related resource from which the described resource is derived Trends in Mathematics, Vol-Part F2357, pp. 735-745. 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/10.1007/978-3-031-41420-6_61" target="_blank" rel="noreferrer noopener">https://doi.org/10.1007/978-3-031-41420-6_61</a> <a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85187166729&doi=10.1007%2F978-3-031-41420-6_61&partnerID=40&md5=1c3de07337533d2b8499ed788c764205" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85187166729&doi=10.1007%2f978-3-031-41420-6_61&partnerID=40&md5=1c3de07337533d2b8499ed788c764205</a> Rights Information about rights held in and over the resource Restricted Access Relation A related resource ISSN: 22970215 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 Thangarajan B., CHRIST (Deemed to be University), Bengaluru, India; Nagaraja M.S., CHRIST (Deemed to be University), Bengaluru, India; Dhandra B.V., CHRIST (Deemed to be University), Bengaluru, India