326 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 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 Enhancing the job scheduling procedure to develop an efficient cloud environment using near optimal clustering algorithm Subject The topic of the resource cloud computing; identicalness; node size; resource clustering; split up Description An account of the resource In this internet era, cloud computing and there are various problems in the cloud computing, where the consumers as well as the service providers facing in their day to day cloud activities. Job scheduling problem plays a vital role in the cloud environment. To provide an efficient job scheduling environment, it is necessary to perform efficient resource clustering. In this regard, the proposed system, concentrated on the resource clustering methodology by proposing an efficient resource clustering algorithm named identicalness split up periodic node size (ISPNS) in the cloud environment. The algorithm proposed helps in forming resource clusters with the help of cloud environment. The proposed system is compared with the existing systems to justify the performance of the proposed resource clustering algorithm and it produces near optimal solution for the resource clustering problem which helps to provide an efficient job scheduling in cloud environment. Copyright 2023 Inderscience Enterprises Ltd. Creator An entity primarily responsible for making the resource Suganya R.; Joseph N.P.; Rajadevi R.; Ramamoorthy S. Source A related resource from which the described resource is derived International Journal of Cloud Computing, Vol-12, No. 45749, pp. 134-147. Publisher An entity responsible for making the resource available Inderscience Publishers Date A point or period of time associated with an event in the lifecycle of the resource 2023-01-01 Identifier An unambiguous reference to the resource within a given context <a href="https://doi.org/10.1504/IJCC.2023.130894" target="_blank" rel="noreferrer noopener">https://doi.org/10.1504/IJCC.2023.130894</a> <a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85162767113&doi=10.1504%2FIJCC.2023.130894&partnerID=40&md5=8013fe384c9a86631f28f2f92f64c33f" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85162767113&doi=10.1504%2fIJCC.2023.130894&partnerID=40&md5=8013fe384c9a86631f28f2f92f64c33f</a> Rights Information about rights held in and over the resource Restricted Access Relation A related resource ISSN: 20439989 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 Suganya R., Department of Information Technology, Sri Krishna College of Technology, Tamil Nadu, India; Joseph N.P., Department of Computer Science, CHRIST (Deemed to be University), Bengaluru, India; Rajadevi R., Department of Information Technology, Kongu Engineering College, Perundurai, India; Ramamoorthy S., Department of Computer Science and Engineering, SRM Institute of Science and Technology, Kanchipuram, Tamilnadu, Kattankulathur, 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 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 Sreelakshmi, P.; Basavaraj, Santosh; Josephine, V. L. Helen Title A name given to the resource Enhancing the Operational Efficiency of FPOs by Using Predictive Model Building in Machine Learning Through Feature Selection Method 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 Green Innovations in Computational Intelligence: Sustainable Strategies and Emerging Technologies;pp.159-187 Identifier An unambiguous reference to the resource within a given context <a href="https://doi.org/10.1002/9781394383658.ch8" target="_blank" rel="noreferrer noopener">https://doi.org/10.1002/9781394383658.ch8</a> <a href="https://www.scopus.com/pages/publications/105023235995?origin=resultslist" target="_blank" rel="noreferrer noopener">https://www.scopus.com/pages/publications/105023235995?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 Sreelakshmi P., School of Business and Management (SBM), Christ University, Bangalore, India; Basavaraj S., School of Business and Management (SBM), Christ University, Bangalore, India; Josephine V.L.H., School of Business and Management (SBM), Christ University, Bangalore, India Description An account of the resource This study employs a machine learningbased feature selection approach to identify key factors that significantly enhance the predictive accuracy of models assessing farmer producer organization (FPO) performance. It focused on an FPO in the Anantapur and Kadapa districts of Andhra Pradesh, India; the research investigated the operational effectiveness of small and marginal farmers who are members by the end of 2022. The study reviewed existing shortcomings and proposed necessary policy amendments to ensure the sustainability of FPOs. The study utilized a survey design method, with the exploratory questionnaire through the field study. A sample of 73 small-scale producer farmers from the region was selected for the analysis. The result indicated that a) the reason for the operational efficiency of FPOs, b) the gradient boosting regressor achieved the highest testing accuracy of 0.78 to predict the best feature for FPO performance, and c) FPO insights for policy guidelines. 2025 Scrivener Publishing LLC. Subject The topic of the resource feature selection method; FPO operational efficiency; FPO policy inputs; FPO shortcomings; predictive power Publisher An entity responsible for making the resource available wiley Relation A related resource ISBN: 978-139438365-8; 978-139438361-0; 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 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 Enhancing the performance in education by implementing gamification Subject The topic of the resource E-learning; Enhanced learning; Game elements; Gamification; Gamified learning; Tool based learning Description An account of the resource The gaming industry is growing rapidly in the present generation along with the advancement of technology. Gaming has captured all the young minds with its high and realistic graphics. What makes the gaming industry so attractive is that the players have complete freedom in the game. Freedom to fail, they can try until they succeed another feature is that game is user-centric. Consequently, a lot of research is been in the field of education to increase student's engagement towards studies. The main aim of this paper is to combine these game elements with learning to see if it yields better results. A quantitative approach is used to analyze the student's performance and interest in learning. Using these game elements in education will encourage the students to learn as well as have the flexibility to complete the course at their own pace. Copyright 2019 American Scientific Publishers All rights reserved. Creator An entity primarily responsible for making the resource Ajith R.; Vinay M. Source A related resource from which the described resource is derived Journal of Computational and Theoretical Nanoscience, Vol-16, No. 45813, pp. 2609-2613. 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 2019-01-01 Identifier An unambiguous reference to the resource within a given context <a href="https://doi.org/10.1166/jctn.2019.7938" target="_blank" rel="noreferrer noopener">https://doi.org/10.1166/jctn.2019.7938</a> <a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85068554427&doi=10.1166%2Fjctn.2019.7938&partnerID=40&md5=ac5122e3774e509e2ce7384bb30026a0" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85068554427&doi=10.1166%2fjctn.2019.7938&partnerID=40&md5=ac5122e3774e509e2ce7384bb30026a0</a> Rights Information about rights held in and over the resource Restricted Access Relation A related resource ISSN: 15461955 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 Ajith R., Department of Computer Science, CHRIST (Deemed to Be University), Karnataka, 560084, India; Vinay M., Department of Computer Science, CHRIST (Deemed to Be University), Karnataka, 560084, 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 Enhancing the performance of renewable biogas powered engine employing oxyhydrogen: Optimization with desirability and D-optimal design Subject The topic of the resource Biogas; D-optimal; Desirability; Optimization; Oxyhydrogen; Renewable Description An account of the resource The performance and exhaust characteristics of a dual-fuel compression ignition engine were explored, with biogas as the primary fuel, diesel as the pilot-injected fuel, and oxyhydrogen as the fortifying agent. The trials were carried out with the use of an RSM-based D-optimal design. ANOVA was used to create the relationship functions between input and output. Except for nitrogen oxide emissions, oxyhydrogen fortification increased biogas-diesel engine combustion and decreased carbon-based pollutants. For each result, RSM-ANOVA was utilized to generate mathematical formulations (models). The output of the models was predicted and compared to the observed findings. The prediction models showed robust prediction efficiency (R2 greater than 99.21%). The optimal engine operating parameters were discovered by desirability approach-based optimization to be 24 crank angles before the top dead center, 10.88 kg engine loading, and 1.1 lpm oxyhydrogen flow rate. All outcomes were within 3.75% of the model's predicted output when the optimized parameters were tested experimentally. The current research has the potential to be widely used in compression ignition engine-based transportation systems. 2023 Elsevier Ltd Creator An entity primarily responsible for making the resource Sharma P.; Balasubramanian D.; Thanh Khai C.; Papla Venugopal I.; Alruqi M.; Josephin JS F.; Sonthalia A.; Geo Varuvel E.; Khalife E.; Ravikumar R.; Wae-Hayee M. Source A related resource from which the described resource is derived Fuel, Vol-341 Publisher An entity responsible for making the resource available Elsevier Ltd Date A point or period of time associated with an event in the lifecycle of the resource 2023-01-01 Identifier An unambiguous reference to the resource within a given context <a href="https://doi.org/10.1016/j.fuel.2023.127575" target="_blank" rel="noreferrer noopener">https://doi.org/10.1016/j.fuel.2023.127575</a> <a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85147872811&doi=10.1016%2Fj.fuel.2023.127575&partnerID=40&md5=3f20e1e8a67ee8d342378d9412fe5e0a" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85147872811&doi=10.1016%2fj.fuel.2023.127575&partnerID=40&md5=3f20e1e8a67ee8d342378d9412fe5e0a</a> Rights Information about rights held in and over the resource Restricted Access Relation A related resource ISSN: 162361; CODEN: FUELA 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 Sharma P., Mechanical Engineering Department, Delhi Skill and Entrepreneurship University, Delhi, 110089, India; Balasubramanian D., Department of Mechanical Engineering, Mepco Schlenk Engineering College, Tamilnadu, India; Thanh Khai C., Faculty of Technology, Dong Nai Technology University, Dong Nai, Bien Hoa, Viet Nam; Papla Venugopal I., Department of Mechanical Engineering, Mepco Schlenk Engineering College, Tamilnadu, India; Alruqi M., Department of Mechanical Engineering, College of Engineering, Shaqra University, Al Riyadh, 11911, Saudi Arabia; Josephin JS F., Department of Computer Engineering, Faculty of Engineering and Natural Sciences, Istinye University, Istanbul, Turkey; Sonthalia A., Department of Automobile Engineering, SRM Institute of Science and Technology, NCR Campus, Modi Nagar, 201204, India; Geo Varuvel E., Department of Mechanical Engineering, Faculty of Engineering and Natural Sciences, Istinye University, Istanbul, Turkey; Khalife E., Department of Civil Engineering, Cihan University-Erbil, Kurdistan Region, Iraq; Ravikumar R., Department of Mechanical and Automobile Engineering, CHRIST University, Bengalore, India; Wae-Hayee M., Department of Mechanical and Mechatronics Engineering, Faculty of Engineering, Prince of Songkla University, Songkhla, Hatyai, 90110, Thailand Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Conference Papers Conference Paper Faculty Publications- Conference Papers Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Enhancing the Recognition of Hand Written Telugu Characters: Natural Language Processing and Machine Learning Approach Subject The topic of the resource Machine Learning; Natural Language processing; Optical Character Recognition (OCR); Telugu Description An account of the resource Handwritten character recognition has wider application in many areas including heritage documents, education, document digitalization, language processing, and assisting the visually handicapped and other related areas. The paper tries to improve the accuracy and efficiency of recognizing handwritten letters of Telugu language scripts, a difficult task for computers. Telugu is most widely spoken language in southern part of India, it has rich cultural heritage. Using the Natural Language Toolkit (NLTK), this study investigates ways to enhance recognition accuracy by analyzing handwritten content and implementing methods such as feature extraction and classification. The purpose is to use NLTK's capabilities to develop handwritten character recognition. 2024 IEEE. Creator An entity primarily responsible for making the resource Reedy B.G.; Meghana G.; Subhadra T.; Mithun B.N.; Yogish D. Source A related resource from which the described resource is derived Proceedings of InC4 2024 - 2024 IEEE International Conference on Contemporary Computing and Communications Publisher An entity responsible for making the resource available Institute of Electrical and Electronics Engineers Inc. Date A point or period of time associated with an event in the lifecycle of the resource 2024-01-01 Identifier An unambiguous reference to the resource within a given context <a href="https://doi.org/10.1109/InC460750.2024.10649114" target="_blank" rel="noreferrer noopener">https://doi.org/10.1109/InC460750.2024.10649114</a> <a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85203834924&doi=10.1109%2FInC460750.2024.10649114&partnerID=40&md5=dce22a3b1383c52b4793320e31c07b19" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85203834924&doi=10.1109%2fInC460750.2024.10649114&partnerID=40&md5=dce22a3b1383c52b4793320e31c07b19</a> Rights Information about rights held in and over the resource Restricted Access Relation A related resource ISBN: 979-835038365-2 Format The file format, physical medium, or dimensions of the resource Online Language A language of the resource English Type The nature or genre of the resource Conference paper Coverage The spatial or temporal topic of the resource, the spatial applicability of the resource, or the jurisdiction under which the resource is relevant Reedy B.G., Christ University, Karnataka, Bangalore, India; Meghana G., Christ University, Karnataka, Bangalore, India; Subhadra T., Christ University, Karnataka, Bangalore, India; Mithun B.N., A P S College of Engineering, Dept of CSE, Karnataka, Bangalore, India; Yogish D., Christ University, Dept of CSE, Karnataka, Bangalore, India Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource 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 Enhancing the stability of DSSC by Co-activation of microwave synthesized TiO2 with biomass derived carbon dots Subject The topic of the resource Carbon dots; Citrus medica; DSSC; Microwave synthesis; Natural dyes; Titanium dioxide Description An account of the resource Dye-sensitized solar cells (DSSCs) that utilize natural dyes have garnered interest due to their low cost, eco-friendly manufacturing process, and competitive photovoltaic performance. However, their efficiency and stability issues have hindered their widespread implementation. To enhance their performance, this paper proposes a novel approach of modifying the photoanode with carbon dots (CDs) to align the band gap for easier carrier collection. The material properties were thoroughly characterized by examining their structural, morphological, optical, and electrical properties. In this study, titanium dioxide (TiO2) was synthesized using the microwave-assisted solvothermal method, while nitrogen-doped CDs derived from Citrus medica fruit juice were prepared using a simple hydrothermal treatment. Three sets of Natural Dye Sensitized Solar Cells (NDSSC) devices were created using co-activated photoanode (CD/TiO2) and unmodified photoanode (TiO2) with Platisol T/sp coated ITO serving as the counter electrode. Hibiscus (Hibiscus rosa-sinensis) and Onion (Allium cepa) peel extracts were utilized as sensitizers and Iodolyte HI-30 as the electrolyte. The most efficient device attained an efficiency of 3.5 % with Voc = 0.81 V and Jsc = 6.57 mA/cm2. This marks the highest efficiency reported using Hibiscus as a sensitizer with the current configuration, accompanied by prolonged device stability. This study showcases the potential of Citrus medica-derived nitrogen-doped CDs in achieving durable device stability. 2024 Elsevier B.V. Creator An entity primarily responsible for making the resource Ninan G.G.; Varghese M.; Balachandran M. Source A related resource from which the described resource is derived Optical Materials, Vol-154 Publisher An entity responsible for making the resource available Elsevier B.V. Date A point or period of time associated with an event in the lifecycle of the resource 2024-01-01 Identifier An unambiguous reference to the resource within a given context <a href="https://doi.org/10.1016/j.optmat.2024.115730" target="_blank" rel="noreferrer noopener">https://doi.org/10.1016/j.optmat.2024.115730</a> <a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85196788578&doi=10.1016%2Fj.optmat.2024.115730&partnerID=40&md5=d465f59c00d1873db34095cb79befec4" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85196788578&doi=10.1016%2fj.optmat.2024.115730&partnerID=40&md5=d465f59c00d1873db34095cb79befec4</a> Rights Information about rights held in and over the resource Restricted Access Relation A related resource ISSN: 9253467; CODEN: OMATE 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 Ninan G.G., Department of Physics and Electronics, CHRIST (Deemed to be University), Karnataka, Bengaluru, 560029, India; Varghese M., Department of Physics and Electronics, CHRIST (Deemed to be University), Karnataka, Bengaluru, 560029, India; Balachandran M., Department of Physics and Electronics, CHRIST (Deemed to be University), Karnataka, Bengaluru, 560029, India Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource 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 Enhancing the stability of electrochemical asymmetric supercapacitor by incorporating thiophene-pyrrole copolymer with nickel sulfide/nickel hydroxide composite Subject The topic of the resource Asymmetric supercapacitor; Copolymer; Modified activated carbon (MAC); Nickel hydroxide; Nickel sulphide; Pseudocapacitor Description An account of the resource The practical application of a supercapacitor predominantly relies on its sustained cyclic stability. Hence it is essential to develop materials with high stability for the efficient supercapacitor applications. Herein, we demonstrate the integration of a copolymer of poly thiophene-pyrrole (cPPyTh) to surpass the limited cyclic stability of the nickel sulfide/nickel hydroxide (NSH) composite. Though the lower electronegativity of sulfur in coexistence with hydroxide achieves a superior capacity for NSH, it lacks extended cyclic stability. By incorporating cPPyTh into the layers of NSH, the stability of the resultant composite (NCP) could be enhanced by preventing the aggregation of layered NSH during longer runs. NCP electrode provides a specific capacity of 87 C/g at a current density of 1 A/g in a three-electrode system. An energy density of 25.47 Wh/kg and power density of 8.65 kW/kg is obtained for the asymmetric supercapacitor fabricated with NCP as positive and modified activated carbon (MAC) as negative electrode. The NCP demonstrates a superior cyclic stability of over 94% for 10,000 cycles in comparison to NSH with stability ? 73% over 5,000 cycles for the asymmetric supercapacitor. 2021 Creator An entity primarily responsible for making the resource Nath A.R.; Madhu B.; Mohan A.; N S. Source A related resource from which the described resource is derived Journal of Energy Storage, Vol-46 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.est.2021.103833" target="_blank" rel="noreferrer noopener">https://doi.org/10.1016/j.est.2021.103833</a> <a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85121931680&doi=10.1016%2Fj.est.2021.103833&partnerID=40&md5=38baca4a116ec9cc8ce5ffcfc3eb2518" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85121931680&doi=10.1016%2fj.est.2021.103833&partnerID=40&md5=38baca4a116ec9cc8ce5ffcfc3eb2518</a> Rights Information about rights held in and over the resource Restricted Access Relation A related resource ISSN: 2352152X 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 Nath A.R., Nanoscience Research Laboratory, School of Materials Science and Engineering, National Institute of Technology Calicut, Calicut, Kerala, India; Madhu B., CHRIST (Deemed to be University), Hosur Road, Bengaluru, Karnataka, India; Mohan A., Materials Engineering, Indian Institute of Technology Gandhinagar, Gujarat, India; N S., Nanoscience Research Laboratory, School of Materials Science and Engineering, National Institute of Technology Calicut, Calicut, Kerala, 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 Anju, M.J.; Beulah, M.; Varghese, Alwyn Title A name given to the resource Enhancing the Strength of Geopolymer Composites Synthesized from Iron Ore Tailings and Fly Ash for Use as Subgrade Material in Pavement Construction 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 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/s42947-026-00738-1" target="_blank" rel="noreferrer noopener">https://doi.org/10.1007/s42947-026-00738-1</a> <a href="https://www.scopus.com/pages/publications/105034675348?origin=resultslist" target="_blank" rel="noreferrer noopener">https://www.scopus.com/pages/publications/105034675348?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 Anju M.J., Christ (Deemed to Be University), Bangalore, India; Beulah M., Christ (Deemed to Be University), Bangalore, India; Varghese A., Jyothi Engineering College, Thrissur, Cheruthuruthy, India Description An account of the resource As the idea of sustainable pavement becomes more important, an increasing number of industrial waste products and recycled materials are being used in the pavement industry to conserve natural resources. This study evaluates the potential use of iron ore tailings (IOT) blended with fly ash (FA) and activated with NaOHNa?SiO? solutions as a liquid alkaline activator (L) to synthesise IOT-FA geopolymers, which can be used as a sustainable material for the pavement subgrade layer. The influence of FA replacement levels and alkaline activator ratios on the geotechnical and microstructural behaviour of IOT was examined through compaction, unconfined compressive strength (UCS), and California bearing ratio (CBR) tests, supported by Scanning Electron Microscopy (SEM) and X-Ray Diffraction (XRD) analyses. The results show that 20% FA replacement gives the optimal mix, resulting in a 28-day UCS improvement of over four times that of untreated IOT due to enhanced geopolymerization. The liquid alkaline-activated mixes achieved CBR values of ? 8, meeting IRC requirements for subgrade applications. SEM analysis revealed dense gel formation and improved particle bonding, while XRD results indicate the development of geopolymeric reaction products. TCLP results indicate that metal leaching remained within permissible limits, establishing the environmental safety of the developed composite. The thickness of the pavement layer was designed using IITPAVE software based on CBR values and assessed against IRC:372018 criteria. The analysis indicated a reduction in layer thickness for various daily commercial vehicle counts ie, CVPD (450,1000), across all evaluated combinations. Overall, the study demonstrates that alkaline-activated IOTFA mixtures offer a technically viable and sustainable alternative for pavement subgrade construction. Chinese Society of Pavement Engineering 2026. Subject The topic of the resource Fly ash; Geopolymer; Iron ore tailing; Leachate; Pavement design; Subgrade material; Waste management 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 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 Dutta, Neelanjan; Prasad, Smrity; Kalaivani, S. Title A name given to the resource Enhancing Time Series Forecasting in Low-Liquidity Markets Using Generative Adversarial Networks 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 4th International Conference on Applied Artificial Intelligence and Computing, ICAAIC 2025;pp.933-938 Identifier An unambiguous reference to the resource within a given context <a href="https://doi.org/10.1109/ICAAIC64647.2025.11331192" target="_blank" rel="noreferrer noopener">https://doi.org/10.1109/ICAAIC64647.2025.11331192</a> <a href="https://www.scopus.com/pages/publications/105034868013?origin=resultslist" target="_blank" rel="noreferrer noopener">https://www.scopus.com/pages/publications/105034868013?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 Dutta N., Christ (Deemed to be University), Dept. of Statistics and Data Science, Bengaluru, India; Prasad S., Christ (Deemed to be University), Dept. of Statistics and Data Science, Bengaluru, India; Kalaivani S., Christ (Deemed to be University), Dept. of Statistics and Data Science, Bengaluru, India Description An account of the resource Financial assets that are low liquidity are very difficult to forecast as they are sparsely traded, their volatility is not regular, and scarce historic evidence exists. This paper will explore the hypothesis of whether in this kind of limited environment, generative models can enhance the effectiveness of forecasting. A dual model framework is constructed which contrasts a normal Long Short Term Memory (LSTM) network with TimeGAN based synthetic data augmentation method in 60-day long-range forecasting of the TRY/USD exchange rate. The methodology consists in the training of an LSTM model on real historical sequences and the improvement with TimeGAN generated synthetic sequences with a maintained temporal structure. It has been shown that TimeGAN has a significant effect on the accuracy of the forecasts, the RMSE decreased to 0.0002 by approximately fifty percent, and the R2 grew to 0.9921 by approximately fifty percent. The results suggest that augmentation through GAN enhances generalization of models in thin and dynamic markets. The most important contributions include implementation of TimeGAN to low-liquidity FX forecasting, the assessment of the effects of synthetic data on forecast accuracy and the empirical benchmark of LSTM and TimeGAN in low-volume finance. 2025 IEEE. Subject The topic of the resource Exchange rate prediction; Financial markets; GANs; Low liquidity assets; LSTM; Synthetic data; Time series forecasting; TimeGAN Publisher An entity responsible for making the resource available Institute of Electrical and Electronics Engineers Inc. Relation A related resource ISBN: 979-833156587-9; 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 Conference Papers Conference Paper Faculty Publications- Conference Papers Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Enhancing Traffic Incident Management and Regulatory Compliance Using IoT and Itms: A Mumbai Traffic Police Case Study Subject The topic of the resource Artificial Intelligence; City Surveillance System; Computational Intelligenc; Intelligent Transportation Systems; Internet of Things; Mumbai Traffic Management Description An account of the resource In the rapidly urbanizing landscape of Mumbai, a megacity confronted with significant traffic management and law enforcement challenges, the deployment of an advanced city surveillance system represents a transformative approach to urban governance. This paper examines the integration of over 11,000 CCTV cameras into the Mumbai Traffic Police's operational framework, covering an area of 438 square kilometers encompassing 41 traffic divisions and 94 police stations. Since its inception in 2016, the system has been pivotal in enhancing safety, order, and mobility within the city, especially amid obstacles such as ongoing infrastructure projects, traffic congestion, accidents, and natural disasters. Central to this study is the analysis of the Mumbai City Surveillance System Project (MCSP), which leverages CCTV technology to generate and classify Incident Reports (IR) based on severity, ranging from minor disruptions to significant emergencies. The period from October 2021 to 2023 saw a marked increase in IR generation, from 742 reports in 2021 to 10,392 in 2022 and 9,639 in 2023, indicating the system's growing efficacy in real-time traffic management and incident response.This paper further explores the cutting-edge integration of Artificial Intelligence (AI) and Internet of Things (IoT) technologies within the MCSP framework, highlighting the role of computational intelligence in enhancing the capabilities of Intelligent Transportation Systems (ITS). By employing AI-driven predictive analytics, the system effectively anticipates traffic conditions based on diverse variables such as traffic flow, vehicle speed, and weather, thereby optimizing traffic management strategies.The findings underscore the significant impact of AI and IoT technologies in redefining urban transportation networks, demonstrating improved efficiency, safety, and resilience in the face of Mumbai's complex transportation challenges. This study contributes to the discourse on smart city initiatives, offering insights into the role of advanced computational technologies in facilitating intelligent transportation solutions and shaping the future of urban living. 2024 IEEE. Creator An entity primarily responsible for making the resource Salunke S.J.; Bang S.S. Source A related resource from which the described resource is derived TQCEBT 2024 - 2nd IEEE International Conference on Trends in Quantum Computing and Emerging Business Technologies 2024 Publisher An entity responsible for making the resource available Institute of Electrical and Electronics Engineers Inc. Date A point or period of time associated with an event in the lifecycle of the resource 2024-01-01 Identifier An unambiguous reference to the resource within a given context <a href="https://doi.org/10.1109/TQCEBT59414.2024.10545276" target="_blank" rel="noreferrer noopener">https://doi.org/10.1109/TQCEBT59414.2024.10545276</a> <a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85204442670&doi=10.1109%2FTQCEBT59414.2024.10545276&partnerID=40&md5=b82d04ec30a48ef29f914e5d7de567a3" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85204442670&doi=10.1109%2fTQCEBT59414.2024.10545276&partnerID=40&md5=b82d04ec30a48ef29f914e5d7de567a3</a> Rights Information about rights held in and over the resource Restricted Access Relation A related resource ISBN: 979-835038427-7 Format The file format, physical medium, or dimensions of the resource Online Language A language of the resource English Type The nature or genre of the resource Conference paper Coverage The spatial or temporal topic of the resource, the spatial applicability of the resource, or the jurisdiction under which the resource is relevant Salunke S.J., Christ University, Bengaluru, India; Bang S.S., Christ University, Bengaluru, India Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource 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 Enhancing Transparency and Trust in Agrifood Supply Chains through Novel Blockchain-based Architecture Subject The topic of the resource Big data; Blockchain; Internet of Things; Monitoring; Security Description An account of the resource At present, the world is witnessing a rapid change in all the fields of human civilization business interests and goals of all the sectors are changing very fast. Global changes are taking place quickly in all fields manufacturing, service, agriculture, and external sectors. There are plenty of hurdles in the emerging technologies in agriculture in the modern days. While adopting such technologies as transparency and trust issues among stakeholders, there arises a pressurized necessity on food suppliers because it has to create sustainable systems not only addressing demandsupply disparities but also ensuring food authenticity. Recent studies have attempted to explore the potential of technologies like blockchain and practices for smart and sustainable agriculture. Besides, this well-researched work investigates how a scientific cum technological blockchain architecture addresses supply chain challenges in Precision Agriculture to take up challenges related to transparency traceability, and security. A robust registration phase, efficient authentication mechanisms, and optimized data management strategies are the key components of the proposed architecture. Through secured key exchange mechanisms and encryption techniques, client's identities are verified with inevitable complexity. The confluence of IoT and blockchain technologies that set up modern farms amplify control within supply chain networks. The practical manifestation of the researchers' novel blockchain architecture that has been executed on the Hyperledger network, exposes a clear validation using corroboration of concept. Through exhaustive experimental analyses that encompass, transaction confirmation time and scalability metrics, the proposed architecture not only demonstrates efficiency but also underscores its usability to meet the demands of contemporary Precision Agriculture systems. However, the scholarly paper based upon a comprehensive overview resolves a solution as a fruitful and impactful contribution to blockchain applications in agriculture supply chains. Copyright 2024 KSII. Creator An entity primarily responsible for making the resource Sakthivel V.; Prakash P.; Lee J.-W.; Prabu P. Source A related resource from which the described resource is derived KSII Transactions on Internet and Information Systems, Vol-18, No. 7, pp. 1968-1985. Publisher An entity responsible for making the resource available Korean Society for Internet Information 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/10.3837/tiis.2024.07.013" target="_blank" rel="noreferrer noopener">https://doi.org/10.3837/tiis.2024.07.013</a> <a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85200211134&doi=10.3837%2Ftiis.2024.07.013&partnerID=40&md5=9723868808ce0a52a48db67170f79a21" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85200211134&doi=10.3837%2ftiis.2024.07.013&partnerID=40&md5=9723868808ce0a52a48db67170f79a21</a> Rights Information about rights held in and over the resource Restricted Access Relation A related resource ISSN: 19767277 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 Sakthivel V., School of Computer Science and Engineering, Vellore Institute of Technology, Chennai, India; Prakash P., School of Computer Science and Engineering, Vellore Institute of Technology, Chennai, India; Lee J.-W., Konkuk Aerospace Design-Airworthiness Institute, Konkuk University, Seoul, South Korea; Prabu P., Department of Computer Science, 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 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 Deokar, Ruchira; Nanjundan, Preethi; George, Jossy P.; Behera, Naliniprava Title A name given to the resource Enhancing User Control: A Reinforcement Learning Framework for Breaking Filter Bubbles in Recommender Systems 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 Communications in Computer and Information Science;Volume;2243 CCIS;pp.154-167 Identifier An unambiguous reference to the resource within a given context <a href="https://doi.org/10.1007/978-3-031-81369-6_13" target="_blank" rel="noreferrer noopener">https://doi.org/10.1007/978-3-031-81369-6_13</a> <a href="https://www.scopus.com/pages/publications/85219204438?origin=resultslist" target="_blank" rel="noreferrer noopener">https://www.scopus.com/pages/publications/85219204438?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 Deokar R., CHRIST University, Bengaluru, India; Nanjundan P., CHRIST University, Bengaluru, India; George J.P., CHRIST University, Bengaluru, India; Behera N., KIIT Deemed to be University, Odisha, Bhubaneswar, India Description An account of the resource In an age of information overload, recommendation systems play an important role in providing personalized content to users. However, traditional recommendation systems often create filter bubbles, limiting the types of content users are exposed to. Based on the research presented in the article Breaking the Filter Bubble: A Reinforcement Learning Framework for Controllable Recommender Systems, this article proposes a new approach to further improve the controllability and diversity of recommendations. By using reinforcement learning techniques, the proposed framework aims to break the filter bubble by providing users with more diverse content recommendations while maintaining high recommendation accuracy. Extensive experiments on real-world datasets demonstrate the effectiveness of this approach in suppressing recommendation concentration and improving recommendation diversity. The results of this study contribute to the further development of controllable recommendation systems and provide insights into solving the filter bubble problem in recommendation systems. The Author(s), under exclusive license to Springer Nature Switzerland AG 2025. Subject The topic of the resource Controllable recommender systems; Filter bubbles; Recommendation diversity; Recommendation systems; Reinforcement learning Publisher An entity responsible for making the resource available Springer Science and Business Media Deutschland GmbH Relation A related resource ISSN: 18650929; ISBN: 978-303181368-9; 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 Chandu, Eerenti; Vinay Kumar, Kasthuri; Chandra Kumar, Kodavati; Snehith, Raja Venkat Sai; Prathap, Boppuru Rudra Title A name given to the resource Enhancing Video Surveillance for Crime Detection Using Anomaly Detection Techniques 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 AIP Conference Proceedings;Volume;3175;Issue;1;Article No.;20070; Identifier An unambiguous reference to the resource within a given context <a href="https://doi.org/10.1063/5.0254108" target="_blank" rel="noreferrer noopener">https://doi.org/10.1063/5.0254108</a> <a href="https://www.scopus.com/pages/publications/105000450459?origin=resultslist" target="_blank" rel="noreferrer noopener">https://www.scopus.com/pages/publications/105000450459?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 Chandu E., Department of Computer Science and Engineering, CHRIST(Deemed to be University), Bangalore, India; Vinay Kumar K., Department of Computer Science and Engineering, CHRIST(Deemed to be University), Bangalore, India; Chandra Kumar K., Department of Computer Science and Engineering, CHRIST(Deemed to be University), Bangalore, India; Snehith R.V.S., Department of Computer Science and Engineering, CHRIST(Deemed to be University), Bangalore, India; Prathap B.R., Department of Computer Science and Engineering, CHRIST(Deemed to be University), Bangalore, India Description An account of the resource Security cameras are widely used to detect and prevent crimes, but the number of surveillance videos has increased due to this prevalence. The process of detecting similarities or data points that significantly depart from the norm or expected behavior of a given system is known as anomaly detection. Predictive maintenance, network intrusion detection, and fraud detection are just a few of the areas where anomaly detection is applied. By processing these videos with the help of a suitable machine learning algorithm, unfavorable events can be brought to the attention of experts to manually monitor. Since these unfavorable events are of various types and few in number, this problem can be addressed in the anomaly detection structure. An anomaly detection algorithm has been developed using the UCF-Crime dataset consisting of 1900 surveillance videos of various lengths. In this context, video surveillance refers to observing the scenes of improper human behaviors which are termed as real world anomalies. Depending on the availability of data sets, anomaly detection algorithms can be supervised, unsupervised, or semi- supervised. The quality of the data and the selection of the best algorithms determine how well anomaly detection techniques work. This paper proposes the use of anomaly detection techniques to enhance video surveillance systems for crime detection. By identifying unusual activities in surveillance footage, the system can alert authorities to potential criminal activity and improve overall security measures. The effectiveness of this approach is demonstrated through experiments and analysis of real-world surveillance data. 2025 Author(s). Publisher An entity responsible for making the resource available American Institute of Physics Relation A related resource ISSN: 0094243X; 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 Conference Papers Conference Paper Faculty Publications- Conference Papers Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Enhancing Visual Passwords Using a Grid-Based Graphical Password Authentication to Mitigate Shoulder Surfing Subject The topic of the resource Authentication; Graphical; Security; Shoulder-surfing; Usability Description An account of the resource Surfing Shoulder Surfing is a secret phrase-based attack which is a serious worry of protection in data security. Alphanumeric passwords are more helpless to attacks like shoulder surfing, dictionary attacks, etc., than graphical passwords. The creation of more muddled, challenging to-break passwords can be made simpler for clients with graphical authentication by consolidating the visuals and memory-based strategies like recall and recognition. In an imaged-based password, the user can choose pixels from the image to use as a secret key in the grid-based strategy, the user-selected image would show up on the screen with a framework overlay on it, and the client can pick explicit lattices to set their secret phrase. Besides, graphical passwords are powerless against shoulder surfing attacks, and due to this, clients are given a one-time made password via email. We investigated the limitations of image-based and grid-based authentication techniques and propose a grid-based graphical authentication system that addresses the limitations of image-based and grid-based techniques. The results of the grid-based graphical technique, as well as the image-based and grid-based approaches, have likewise been differentiated and analyzed. The convenience objective of our authentication system is to assist users in making better password selections, hence boosting security and broadening the usable password field. This method can be employed in many different contexts, such as forensic labs, banking, military, and other scenarios. The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2024. Creator An entity primarily responsible for making the resource Mano Paul P.; Berin Jeba Jingle I.; Diana Jeba Jingle I. Source A related resource from which the described resource is derived Lecture Notes in Networks and Systems, Vol-869 LNNS, pp. 447-455. Publisher An entity responsible for making the resource available Springer Science and Business Media Deutschland GmbH Date A point or period of time associated with an event in the lifecycle of the resource 2024-01-01 Identifier An unambiguous reference to the resource within a given context <a href="https://doi.org/10.1007/978-981-99-9040-5_33" target="_blank" rel="noreferrer noopener">https://doi.org/10.1007/978-981-99-9040-5_33</a> <a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85190394685&doi=10.1007%2F978-981-99-9040-5_33&partnerID=40&md5=0f09a8ff750189fb39978b7373a3308e" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85190394685&doi=10.1007%2f978-981-99-9040-5_33&partnerID=40&md5=0f09a8ff750189fb39978b7373a3308e</a> Rights Information about rights held in and over the resource Restricted Access Relation A related resource ISSN: 23673370; ISBN: 978-981999039-9 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 Mano Paul P., Alliance University, Karnataka, Bengaluru, India; Berin Jeba Jingle I., Karunya Institute of Technology and Sciences, Tamil Nadu, Coimbatore, India; Diana Jeba Jingle I., Christ (Deemed to Be University), Karnataka, 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 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 Singh, Jagendra; Shaik, Nazeer; Sahu, Dinesh Prasad; Tiwari, Mohit; Haque, Mustafizul; Upreti, Kamal Title A name given to the resource Enhancing Weed Recognition in Cotton Fields Through Advanced Imaging and Learning Techniques 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 Networks and Systems;Volume;1181;pp.467-478 Identifier An unambiguous reference to the resource within a given context <a href="https://doi.org/10.1007/978-981-97-8861-3_39" target="_blank" rel="noreferrer noopener">https://doi.org/10.1007/978-981-97-8861-3_39</a> <a href="https://www.scopus.com/pages/publications/105000719078?origin=resultslist" target="_blank" rel="noreferrer noopener">https://www.scopus.com/pages/publications/105000719078?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 Singh J., School of Computer Science Engineering and Technology, Bennett University, Greater Noida, India; Shaik N., Department of Computer Science and Engineering, Srinivasa Ramanujan Institute of TechnologyAutonomous, Anantapur, India; Sahu D.P., School of Computer Science Engineering and Technology, Bennett University, Greater Noida, India; Tiwari M., Department of Computer Science and Engineering, Bharati Vidyapeeths College of Engineering, Delhi, India; Haque M., Dr. D. Y. Patil Vidyapeeths Centre for Online Learning, Dr. D. Y. Patil Vidyapeeth, Pune, India; Upreti K., Department of Computer Science, CHRIST (Deemed to Be University), Ghaziabad, India Description An account of the resource This research investigates the efficacy of weed recognition models in cotton fields through advanced imaging and machine learning techniques. Utilizing 10 trials, the models, namely K-NN and GBM, were evaluated across multiple performance metrics. Results reveal that GBM consistently outperformed K-NN in accuracy, precision, recall, and F1 score, with average values of 0.88, 0.89, 0.86, and 0.88, respectively, compared to K-NN's averages of 0.85, 0.87, 0.82, and 0.85. Moreover, GBM exhibited higher AUC values (0.94) than K-NN (0.92) in ROC curve analysis, indicating superior discrimination ability. Additionally, k-fold cross-validation demonstrated GBM's higher mean accuracy (0.89) and F1 score (0.88) compared to K-NN (mean accuracy: 0.86, mean F1 score: 0.85). Additionally, integrating temporal data analysis could improve the models ability to detect weed growth patterns over time. Real-time monitoring capabilities and automated decision-making systems could streamline weed management practices in agricultural settings. Furthermore, expanding the study to encompass diverse geographical regions and crop types would provide valuable insights into the generalizability and robustness of the developed models. Overall, continued research in this domain holds the potential to revolutionize weed management strategies and contribute to sustainable agriculture practices. The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2025. Subject The topic of the resource Advanced imaging; Cotton fields; Machine learning; Weed management; Weed recognition Publisher An entity responsible for making the resource available Springer Science and Business Media Deutschland GmbH Relation A related resource ISSN: 23673370; ISBN: 978-981978860-6; 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 Ghosh, Oindrilla; Kumar, Binod Title A name given to the resource Enhancing Well- Being in the Digital Age in the VUCA and BANI World 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 Navigating Technological Advancement in the VUCA and BANI World;pp.97-126 Identifier An unambiguous reference to the resource within a given context <a href="https://doi.org/10.4018/979-8-3373-2240-7.ch007" target="_blank" rel="noreferrer noopener">https://doi.org/10.4018/979-8-3373-2240-7.ch007</a> <a href="https://www.scopus.com/pages/publications/105027363680?origin=resultslist" target="_blank" rel="noreferrer noopener">https://www.scopus.com/pages/publications/105027363680?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 Ghosh O., School of Law, Christ University, Bangalore, India; Kumar B., Radha Govind University, India Description An account of the resource In today's VUCA (Volatile, Uncertain, Complex, Ambiguous) and BANI (Brittle, Anxious, Nonlinear, Incomprehensible) reality, enhancing well-being in the digital age is crucial. Digital technology can both support and hinder mental health, making it essential to cultivate a balanced approach. Encouraging digital detoxes and mindfulness practices can reduce stress and promote emotional resilience. Leveraging online communities for support fosters connection, but awareness of the potential for digital addiction remains essential. Tools like mental health apps can provide resources, yet they should complement real-life interactions to ensure authenticity. Emphasizing digital literacy empowers individuals to navigate information critically, enhancing decision-making regarding their mental and emotional health. Finally, organizations must prioritize employee well-being by implementing flexible work arrangements, promoting open communication, and providing mental health resources. By consciously shaping our digital environments, we can enhance well-being and thrive in this complex world. 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: 979-833732242-1; 979-833732240-7; 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 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 Enhancing well-being: Exploring the impact of augmented reality and virtual reality Description An account of the resource Virtual reality (VR) and augmented reality (AR) can revolutionize how individuals experience and perceive the world. Effective and engaging wellness practices are made possible by these technologies personalized, immersive experiences. The organization endeavors to foster empathy and understanding by attending to physical, mental, emotional, and social health. Nevertheless, ethical deliberations are of the utmost importance, including privacy, proper data handling, and secure data access. Education, support, and accessibility are critical determinants of user acceptance. Additional areas that warrant further investigation include treatment efficacy, diversity, long-term effects, and ongoing progress. A more inclusive, engaging, and productive approach to individual and communal health is anticipated due to the expanding use of AR and VR in well-being. 2024, IGI Global. All rights reserved. Creator An entity primarily responsible for making the resource Singha R.; Singha S. Source A related resource from which the described resource is derived Applications of Virtual and Augmented Reality for Health and Wellbeing, pp. 55-74. Publisher An entity responsible for making the resource available IGI Global Date A point or period of time associated with an event in the lifecycle of the resource 2024-01-01 Identifier An unambiguous reference to the resource within a given context <a href="https://doi.org/10.4018/979-8-3693-1123-3.ch004" target="_blank" rel="noreferrer noopener">https://doi.org/10.4018/979-8-3693-1123-3.ch004</a> <a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85192126987&doi=10.4018%2F979-8-3693-1123-3.ch004&partnerID=40&md5=fe25160ee3e566cd5ae419dcbefeab85" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85192126987&doi=10.4018%2f979-8-3693-1123-3.ch004&partnerID=40&md5=fe25160ee3e566cd5ae419dcbefeab85</a> Rights Information about rights held in and over the resource Restricted Access Relation A related resource ISBN: 979-836931124-0; 979-836931123-3 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 R., Christ University, India; Singha S., Kristu Jayanti College (Autonomous), 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 Sandhya, D.S.; Annamalai, Sumathi Title A name given to the resource Enhancing worklife balance: Social support, resilience, and job satisfaction among Indian gazetted police officers 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 Workplace Behavioral Health;Volume;40;Issue;4;pp.1031-1068 Identifier An unambiguous reference to the resource within a given context <a href="https://doi.org/10.1080/15555240.2025.2491389" target="_blank" rel="noreferrer noopener">https://doi.org/10.1080/15555240.2025.2491389</a> <a href="https://www.scopus.com/pages/publications/105005740551?origin=resultslist" target="_blank" rel="noreferrer noopener">https://www.scopus.com/pages/publications/105005740551?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 Sandhya D.S., School of Business and Management, CHRIST (Deemed to be University), Bengaluru, India, School of Business, RV University, Bengaluru, India; Annamalai S., School of Business and Management, CHRIST (Deemed to be University), Bengaluru, India Description An account of the resource Police officers grapple with the challenge of balancing their professional obligations and personal lives. They endure 10- to 12-hour shifts and make split-second decisions that can have life-altering consequences for themselves and others. This job adds complexity, requiring them to manage time and effort. This study examines the mediating role of job satisfaction and resilience in the relationship between social support and the worklife balance of gazetted police officers. The proportional quota sampling method was used to collect data from 242 respondents across different ranks (senior, middle, and junior) in the state of Karnataka. Structural equation modeling analysis was done on the collected data using SPSS Amos. This study demonstrates that social support significantly enhances both job satisfaction and resilience, which, in turn, contribute to better worklife balance. The findings highlight the mediating roles of resilience and job satisfaction, reinforcing the idea that a strong support system fosters personal and professional well-being. To reduce workload and improve worklife balance, organizations can increase recruitment in line with UN recommendations and establish peer support programs, mindfulness-based interventions, and cognitive behavioral programs through police training academies. 2025 Taylor & Francis Group, LLC. Subject The topic of the resource job satisfaction; resilience and gazetted police officers; social support; Worklife balance Publisher An entity responsible for making the resource available Routledge Relation A related resource ISSN: 15555240; 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 Conference Papers Conference Paper Faculty Publications- Conference Papers Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Enhancing Workplace Efficiency with The Implementation of the Internet of Things to Advance Human Resource Management Practices Subject The topic of the resource Change Management; Data Privacy; Employee Engagement; Employee Satisfaction; Human Resource Management (HRM) Practices; Internet of Things (IoT); Organizational Dynamics; Qualitative and Quantitative Analysis; Real-time Monitoring; Security Concerns; Technological Innovation; Technology Integration; Workplace Culture; Workplace Efficiency Description An account of the resource Improving human resource management via the use of the Internet of Things (IoT) is the focus of this research. The primary objective is to enhance productivity in the workplace. The researchers utilized a mix of qualitative (describing) and quantitative (numbers-based) techniques to collect and analyses data. This research shows that key HR KPIs are positively affected by using IoT in HRM. Businesses utilizing IoT for real-time monitoring have better operations and more engaged employees. The study found that state-of-the-art technology, extensive training, and effective change management were needed to overcome people's security concerns and unwillingness to change. The Internet of Things may transform HRM and corporate operations, according to study. According to study, companies should invest in people-focused technologies and services. It emphasizes creating a workplace that embraces new technology while prioritizing security and privacy. In conclusion, the study's results may help organizations navigate HRM and the IoT's changing terrain. It suggests linking HR and technology to improve workplace flexibility and efficiency. 2024 IEEE. Creator An entity primarily responsible for making the resource Preeti; Patil S.; Lenka R.M.; Sandhya D.; Lourens M.; Chakravarthi M.K. Source A related resource from which the described resource is derived TQCEBT 2024 - 2nd IEEE International Conference on Trends in Quantum Computing and Emerging Business Technologies 2024 Publisher An entity responsible for making the resource available Institute of Electrical and Electronics Engineers Inc. Date A point or period of time associated with an event in the lifecycle of the resource 2024-01-01 Identifier An unambiguous reference to the resource within a given context <a href="https://doi.org/10.1109/TQCEBT59414.2024.10545155" target="_blank" rel="noreferrer noopener">https://doi.org/10.1109/TQCEBT59414.2024.10545155</a> <a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85204485356&doi=10.1109%2FTQCEBT59414.2024.10545155&partnerID=40&md5=0e5634ad8c579f374b0cab434b1adf38" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85204485356&doi=10.1109%2fTQCEBT59414.2024.10545155&partnerID=40&md5=0e5634ad8c579f374b0cab434b1adf38</a> Rights Information about rights held in and over the resource Restricted Access Relation A related resource ISBN: 979-835038427-7 Format The file format, physical medium, or dimensions of the resource Online Language A language of the resource English Type The nature or genre of the resource Conference paper Coverage The spatial or temporal topic of the resource, the spatial applicability of the resource, or the jurisdiction under which the resource is relevant Preeti, Hr. Manager Frontier Group, India; Patil S., Indira School of Business Studies, Pune, India; Lenka R.M., Symbiosis International (Deemed) University, Symbiosis Institute of Management Studies, Pune, India; Sandhya D., School of Business and Management, Christ University (Yeshwantpur Campus), India; Lourens M., Durban University of Technology, Faculty of Management Sciences, South Africa; Chakravarthi M.K., VIT-AP University, School of Electronics Engineering, Amaravathi, 522237, 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 Ensemble approach of transfer learning and vision transformer leveraging explainable AI for disease diagnosis: An advancement towards smart healthcare 5.0 Subject The topic of the resource Disease diagnosis; Explainable AI; Smart healthcare; Transfer learning; Vision transformer Description An account of the resource Smart healthcare has advanced the medical industry with the integration of data-driven approaches. Artificial intelligence and machine learning provided remarkable progress, but there is a lack of transparency and interpretability in such applications. To overcome such limitations, explainable AI (EXAI) provided a promising result. This paper applied the EXAI for disease diagnosis in the advancement of smart healthcare. The paper combined the approach of transfer learning, vision transformer, and explainable AI and designed an ensemble approach for prediction of disease and its severity. The result is evaluated on a dataset of Alzheimer's disease. The result analysis compared the performance of transfer learning models with the ensemble model of transfer learning and vision transformer. For training, InceptionV3, VGG19, Resnet50, and Densenet121 transfer learning models were selected for ensembling with vision transformer. The result compares the performance of two models: a transfer learning (TL) model and an ensemble transfer learning (Ensemble TL) model combined with vision transformer (ViT) on ADNI dataset. For the TL model, the accuracy is 58 %, precision is 52 %, recall is 42 %, and the F1-score is 44 %. Whereas, the Ensemble TL model with ViT shows significantly improved performance i.e., 96 % of accuracy, 94 % of precision, 90 % of recall and 92 % of F1-score on ADNI dataset. This shows the efficacy of the ensemble model over transfer learning models. 2024 Creator An entity primarily responsible for making the resource Poonia R.C.; Al-Alshaikh H.A. Source A related resource from which the described resource is derived Computers in Biology and Medicine, Vol-179 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.compbiomed.2024.108874" target="_blank" rel="noreferrer noopener">https://doi.org/10.1016/j.compbiomed.2024.108874</a> <a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85198332504&doi=10.1016%2Fj.compbiomed.2024.108874&partnerID=40&md5=0a3b47831442b56320d50d33e8e202c1" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85198332504&doi=10.1016%2fj.compbiomed.2024.108874&partnerID=40&md5=0a3b47831442b56320d50d33e8e202c1</a> Rights Information about rights held in and over the resource Restricted Access Relation A related resource ISSN: 104825; PubMed ID: 39013343; CODEN: CBMDA 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 Poonia R.C., Department of Computer Science, CHRIST (Deemed to be University), Delhi NCR, 201003, India; Al-Alshaikh H.A., Information Systems Department, College of Computer and Information Sciences, Imam Mohammad Ibn Saud Islamic University (IMSIU), Riyadh, 11432, Saudi Arabia