469 20 16481 Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Articles Article Faculty Publications -Articles Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource A new extension of hesitant fuzzy set: An application to an offshore wind turbine technology selection process Description An account of the resource Wind energy is an energy source that is naturally clean, safe and cheap. It comes from a variety of sources. The electric energy generated by a wind turbine manifests as kinetic energy throughout the earth. The energy received from the wind is clean and is permanently available and can be generated forever. Turbine characteristics also have an impact on wind energy production. The turbine properties within a wind farm are important in estimating the load on power generation and wind turbine energy. The amount of energy released is calculated according to the type of the turbine model applied. In many situations, the choices of turbine model can incur various vague and complicated hesitation situations. To manage this situation, a hesitant fuzzy set with the Multi Criteria Decision Making (MCDM) is used. In the present research, the newly proposed Normal Wiggly Hesitant Fuzzy-Criteria Importance Through Intercriteria Correlation (NWHF-CRITIC) and Normal Wiggly Hesitant Fuzzy-Multi Attribute Utility Theory (NWHF-MAUT) methods were employed to rank turbine models based on quality, power level, voltage, and capacity. As part of this process, the NWHF method was utilized to extract and gather deeper information from the decision-makers. 2021 The Authors. IET Renewable Power Generation published by John Wiley & Sons Ltd on behalf of The Institution of Engineering and Technology. Creator An entity primarily responsible for making the resource Narayanamoorthy S.; Ramya L.; Kang D.; Baleanu D.; Kureethara J.V.; Annapoorani V. Source A related resource from which the described resource is derived IET Renewable Power Generation, Vol-15, No. 11, pp. 2340-2355. Publisher An entity responsible for making the resource available John Wiley and Sons Inc Date A point or period of time associated with an event in the lifecycle of the resource 2021-01-01 Identifier An unambiguous reference to the resource within a given context <a href="https://doi.org/10.1049/rpg2.12168" target="_blank" rel="noreferrer noopener">https://doi.org/10.1049/rpg2.12168</a> <a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85104507219&doi=10.1049%2Frpg2.12168&partnerID=40&md5=bebd92953f9eb4a562eeb19d38bf1ef6" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85104507219&doi=10.1049%2frpg2.12168&partnerID=40&md5=bebd92953f9eb4a562eeb19d38bf1ef6</a> Rights Information about rights held in and over the resource Restricted Access Relation A related resource ISSN: 17521416 Format The file format, physical medium, or dimensions of the resource Online Language A language of the resource English Type The nature or genre of the resource 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 Narayanamoorthy S., Department of Mathematics, Bharathiar University, Coimbatore, India; Ramya L., Department of Mathematics, Bharathiar University, Coimbatore, India; Kang D., Department of Industrial and Management Engineering, Institute of Digital Anti-aging Health Care, Inje University, Gimhae-si, Gyeongsangnam-do, South Korea; Baleanu D., Department of Mathematics, Cankaya University, Balgat, Ankara, Turkey, Institute of Space Sciences, Magurele-Bucharest, Romania; Kureethara J.V., CHRIST (Deemed to be University), Bangalore, India; Annapoorani V., Department of Mathematics, Bharathiar University, Coimbatore, 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 Designing of a Free-Standing Flexible Symmetric Electrode Material for Capacitive Deionization and Solid-State Supercapacitors Subject The topic of the resource capacitive deionization; electrosorption; energy density; energy storage; flexible symmetric device; supercapacitor Description An account of the resource In this work, a highly efficient free-standing flexible electrode material for capacitive deionization and supercapacitors was reported. The reported porous carbon shows a high surface area of 2070.4 m2 g-1 with a pore volume of 0.8208 cm3 g-1. The material exhibited a high specific capacitance of 357 F g-1 at 1 A g-1 in a two-electrode symmetric setup. A solid-state supercapacitor device has been fabricated with a total cell capacitance of 152.5 F g-1 at 1 A g-1 in a solid PVA/H2SO4 gel electrolyte with an energy density of 21.18 W h kg-1 at a 501.63 W kg-1power density. A long-run stability test was carried out up to 15,000 cycles at 5 A g-1 that showed capacitance retention of 99% with ?100% Coulombic efficiency. Furthermore, the electrosorption experiment was conducted by a flow-through test by coating on commercially available cellulose thread that was employed, which shows electrosorption ability up to 16.5 mg g-1 at 1.2 V in a 500 mg L-1 NaCl solution. Complete experiments were conducted with a proper procedure, provided by scientific approaches with analytical data. Thus, the reported electrode material showed bifunctional application for energy storage and environmental remediation. 2023 American Chemical Society. Creator An entity primarily responsible for making the resource Narayanan A.; Siddiqa A.; Kodihalli N.K.; Hegde G.; Nagaraju D.H.; Padaki M. Source A related resource from which the described resource is derived ACS Sustainable Chemistry and Engineering, Vol-11, No. 9, pp. 3750-3759. Publisher An entity responsible for making the resource available American Chemical Society Date A point or period of time associated with an event in the lifecycle of the resource 2023-01-01 Identifier An unambiguous reference to the resource within a given context <a href="https://doi.org/10.1021/acssuschemeng.2c06817" target="_blank" rel="noreferrer noopener">https://doi.org/10.1021/acssuschemeng.2c06817</a> <a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85148887331&doi=10.1021%2Facssuschemeng.2c06817&partnerID=40&md5=6289acfd5f090c9679df513e170d718b" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85148887331&doi=10.1021%2facssuschemeng.2c06817&partnerID=40&md5=6289acfd5f090c9679df513e170d718b</a> Rights Information about rights held in and over the resource Restricted Access Relation A related resource ISSN: 21680485 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 Narayanan A., Centre for Nano and Material Sciences, JAIN (Deemed-to-be) University, Jain Global, Campus, Karnataka, Bangalore, 562112, India; Siddiqa A., Centre for Nano and Material Sciences, JAIN (Deemed-to-be) University, Jain Global, Campus, Karnataka, Bangalore, 562112, India; Kodihalli N.K., Department of Physics, Manipal Institute of Technology, Manipal Academy of Higher Education, Manipal, 576 104, India; Hegde G., Centre for Advanced Research and Development (CARD), CHRIST (Deemed to be University), Hosur Road, Bangalore, 560029, India; Nagaraju D.H., Department of Chemistry, School of Applied Sciences, REVA University, Karnataka, Bangalore, 560064, India; Padaki M., Centre for Nano and Material Sciences, JAIN (Deemed-to-be) University, Jain Global, Campus, Karnataka, Bangalore, 562112, 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 Narayanan, Dhanvanth; Rajoriya, Meenakshi Malviya; Rohini, V. Title A name given to the resource A Comparative Benchmark of Deep Learning and Classical Models for BLE-Based Indoor Localization 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 Proceedings of the 2025 1st International Conference on Advances in Engineering and Computing Technologies for Sustainable Development, AECTSD 2025; Identifier An unambiguous reference to the resource within a given context <a href="https://doi.org/10.1109/AECTSD65988.2025.11410887" target="_blank" rel="noreferrer noopener">https://doi.org/10.1109/AECTSD65988.2025.11410887</a> <a href="https://www.scopus.com/pages/publications/105036564268?origin=resultslist" target="_blank" rel="noreferrer noopener">https://www.scopus.com/pages/publications/105036564268?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 Narayanan D., Christ University, Department Of Computer Science, Bengaluru, India; Rajoriya M.M., Christ University, Department Of Computer Science, Bengaluru, India; Rohini V., Christ University, Department Of Computer Science, Bengaluru, India Description An account of the resource Bluetooth Low Energy (BLE)-based indoor positioning has gained attention as a cost-effective solution for environments where GPS signals are unreliable. Despite advances in ML and DL techniques, few standardized benchmarks exist for comparing models under uniform conditions. This study evaluates seven models - K-Nearest Neighbor, Random Forest, Deep Neural Network, 1D CNN, Long Short-Term Memory, Bi-LSTM, and Transformer - on a publicly available dataset collected across multiple building floors. A preprocessing pipeline was applied to address missing values, refine RSSI signals, and generate temporal features. Performance was assessed using both accuracy metrics (MAE, RMSE) and efficiency metrics such as processing time, and model size. Results show that KNN, Random Forest, and DNN consistently outperformed complex sequential and attention-based models, achieving RMSE as low as 1.297 m. These findings suggest that simpler architectures align more effectively with BLE RSSI data than deeper models. This study establishes a benchmark that can support future work in developing efficient, lightweight, and generalizable indoor positioning systems. 2025 IEEE. Subject The topic of the resource Bluetooth Low Energy (BLE); Deep Learning; DNN; Indoor Positioning; K-Nearest Neighbors (KNN); Machine Learning; Performance Benchmark; Random Forest; RSSI Publisher An entity responsible for making the resource available Institute of Electrical and Electronics Engineers Inc. Relation A related resource ISBN: 979-833158156-5; Language A language of the resource English Type The nature or genre of the resource Conference paper Rights Information about rights held in and over the resource Restricted Access; Hardcopy may be available in the library Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Faculty Publications 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 Narayanan, Prithika Title A name given to the resource Unveiling thePower ofBayesian Optimization: Methods, Insights, andApplications 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.525-552 Identifier An unambiguous reference to the resource within a given context <a href="https://doi.org/10.1007/978-981-95-3309-1_35" target="_blank" rel="noreferrer noopener">https://doi.org/10.1007/978-981-95-3309-1_35</a> <a href="https://www.scopus.com/pages/publications/105036702391?origin=resultslist" target="_blank" rel="noreferrer noopener">https://www.scopus.com/pages/publications/105036702391?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 Narayanan P., Department of Statistics and Data Science, Christ University, Karnataka, Bengaluru, India Description An account of the resource Bayesian optimization (BO) has emerged as a popular approach for optimizing expensive black-box functions, which are common in modern machine learning, scientific research, and industrial design. This paper provides a comprehensive review of the recent advances in Bayesian optimization techniques, addressing new methodological developments such as multi-fidelity optimization, transfer learning, and neural network surrogates. Additionally, we explore the increasing role of BO in complex, high-dimensional, and multi-objective optimization problems, as well as its application in various fields like hyperparameter tuning, reinforcement learning, and neural architecture search. The goal of this review is to offer both theoretical insights and practical guidelines to researchers and practitioners working in areas where BO is a suitable tool. Finally, we discuss key challenges and propose directions for future research in the rapidly evolving field of Bayesian optimization. The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2026. Subject The topic of the resource Academic performance; Cultural factors; Economic factors; Social factors; Structural equation model 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 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 Narayanan, Pughazendi; Jeevan Nagendra Kumar, Y.; Chandrasekhar, Rohith Bhat; Kumaresan, Praghash Title A name given to the resource A novel wide slice kronecker forward fractional network for osteoporosis detection using knee X-ray image 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 Knowledge-Based Systems;Volume;342;Issue;;Article No.;115806; Identifier An unambiguous reference to the resource within a given context <a href="https://doi.org/10.1016/j.knosys.2026.115806" target="_blank" rel="noreferrer noopener">https://doi.org/10.1016/j.knosys.2026.115806</a> <a href="https://www.scopus.com/pages/publications/105035378381?origin=resultslist" target="_blank" rel="noreferrer noopener">https://www.scopus.com/pages/publications/105035378381?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 Narayanan P., Faculty of Science and Humanities, SRM Institute of Science and Technology (Ramapuram Campus), Chennai, 600 089, India; Jeevan Nagendra Kumar Y., Department of Information Technology, Gokaraju Rangaraju Institute of Engineering and Technology, Bachupally, Hyderabad, India; Chandrasekhar R.B., Department of Computer Science and Engineering Saveetha School of Engineering, Saveetha Institute of Medical and Technical Sciences (SIMATS), Saveetha University, Tamil Nadu, Chennai, India; Kumaresan P., Department of Electronics and Communication Engineering, Christ University, Bengaluru, India Description An account of the resource Osteoporosis is an asymptomatic and progressive skeletal disorder that maximizes the risk of fractures in people aged 50 to 60. Early and accurate detection is critical, yet challenging, due to the fine structural changes in bone that are often difficult to identify in routine medical images. Knee X-rays are commonly used diagnostic tools, but interpreting them for osteoporosis detection remains complex because of variations in bone geometry and trabecular patterns. To solve these challenges, the novel Wide Slice Kronecker Forward Fractional Network (WKFF-Net) is developed to detect osteoporosis efficiently. Initially, the input image is taken from the database for detection. Here, the denoising process is done using the Non-Local Means (NLM) filter, and the Otsu thresholding method is considered for the segmentation process. Further, a template search method is used for analyzing the femur geometry. Next, features, like spatial, adaptive Local Binary Patterns (aLBP), Convolutional Neural Networks (CNN), and medical-level features, are extracted, and osteoporosis detection is accomplished by the hybrid WKFF-Net model that integrates Deep Kronecker Network (DKN), Wide Slice Residual Network (WISeR), and fractional calculus. The experimental results obtained by the WKFF-Net are 90.868% accuracy, 92.876% True Positive Rate (TPR), 87.766% True Negative Rate (TNR), 89.888% precision, and 91.357% F1-score, for 90% of the training samples. 2026 Elsevier B.V. Subject The topic of the resource Deep learning; Knee X-ray images; Non-local means filter; Ostu thresholding; Wide slice kronecker forward fractional network Publisher An entity responsible for making the resource available Elsevier B.V. Relation A related resource ISSN: 9507051; CODEN: KNSYE Language A language of the resource English Type The nature or genre of the resource Article Rights Information about rights held in and over the resource Restricted Access; Hardcopy may be available in the library Format The file format, physical medium, or dimensions of the resource online Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Articles Article Faculty Publications -Articles Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Biological Feature Selection and Classification Techniques for Intrusion Detection on BAT Subject The topic of the resource Bat algorithm; Dataset; Intrusion detection system; Optimal features; SVM Description An account of the resource Privacy is a significant problem in communications networks. As a factor, trustworthy knowledge sharing in computer networks is essential. Intrusion Detection Systems consist of security tools frequently used in communication networks to monitor, detect, and effectively respond to abnormal network activity. We integrate current technologies in this paper to develop an anomaly-based Intrusion Detection System. Machine Learning methods have progressively featured to enhance intelligent Anomaly Detection Systems capable of identifying new attacks. Thus, this evidence demonstrates a novel approach for intrusion detection introduced by training an artificial neural network with an optimized Bat algorithm. An essential task of an Intrusion Detection System is to maintain the highest quality and eliminate irrelevant characteristics from the attack. The recommended BAT algorithm is used to select the 41 best features to address this problem. Machine Learning based SVM classifier is used for identifying the False Detection Rate. The design is being verified using the KDD99 dataset benchmark. Our solution optimizes the standard SVM classifier. We attain optimal measures for abnormal behavior, including 97.2 %, the attack detection rate is 97.40 %, and a false-positive rate of 0.029 %. 2021, The Author(s), under exclusive licence to Springer Science+Business Media, LLC, part of Springer Nature. Creator An entity primarily responsible for making the resource Narayanasami S.; Sengan S.; Khurram S.; Arslan F.; Murugaiyan S.K.; Rajan R.; Peroumal V.; Dubey A.K.; Srinivasan S.; Sharma D.K. Source A related resource from which the described resource is derived Wireless Personal Communications, Vol-127, No. 2, pp. 1763-1785. Publisher An entity responsible for making the resource available Springer Date A point or period of time associated with an event in the lifecycle of the resource 2022-01-01 Identifier An unambiguous reference to the resource within a given context <a href="https://doi.org/10.1007/s11277-021-08721-8" target="_blank" rel="noreferrer noopener">https://doi.org/10.1007/s11277-021-08721-8</a> <a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85109905339&doi=10.1007%2Fs11277-021-08721-8&partnerID=40&md5=8b100d5c15d458523ff7ebb6366496a8" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85109905339&doi=10.1007%2fs11277-021-08721-8&partnerID=40&md5=8b100d5c15d458523ff7ebb6366496a8</a> Rights Information about rights held in and over the resource Restricted Access Relation A related resource ISSN: 9296212; CODEN: WPCOF 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 Narayanasami S., Department of Computer Science and Engineering, St. Martins Engineering College, Telangana, Hyderabad, 500100, India; Sengan S., Department of Computer Science and Engineering, PSN College of Engineering and Technology, Tamil Nadu, Tirunelveli, 627152, India; Khurram S., Biology Teacher, Teaching Human Social Biology and Applied Sciences, Roots IVY International Schools, Punjab, Faisalabad, 38000, Pakistan; Arslan F., University of Engineering and Technology, Punjab, Lahore, 39161, Pakistan; Murugaiyan S.K., Department of Information Technology, Sri Sai Ram Engineering College, Tamil Nadu, Chennai, 600044, India; Rajan R., Department of Computer Science and Engineering, Adhiyamaan College of Engineering, Tamil Nadu, Hosur, 635109, India; Peroumal V., School of Electronics Engineering, Vellore Institute of Technology, Tamil Nadu, Chennai, 600048, India; Dubey A.K., Department of Computer Science and Engineering, ABES Engineering College, Uttar Pradesh, Ghaziabad, 201009, India; Srinivasan S., Department of Electronics and Communications Engineering, School of Engineering and Technology, Christ (Deemed to be University), Karnataka, Bangalore, 560029, India; Sharma D.K., Department of Mathematics, Jaypee University of Engineering and Technology, Madhya Pradesh, Guna, 473226, 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 Reviews Review Faculty Publications- Reviews Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource A Comprehensive Review on the Antimicrobial and Photocatalytic Properties of Green Synthesized Silver Nanoparticles Subject The topic of the resource antibacterial; antimicrobial; green synthesis; photocatalysis; silver nanoparticles Description An account of the resource With the advancement of technology, there is a growing demand for new nanoparticles that are viable, eco-friendly, non-toxic, and non-hazardous, as well as having unique chemical and physical properties. Silver nanoparticles are currently promising for antibacterial, antimicrobial, and photocatalytic applications. Because of their toxicity, nanosilver particles are now widely used in various applications, including cosmetics, clothing, sunscreen, medicinal, sensing, antibacterial, antimicrobial, and photocatalytic. The importance of plant extracts in the synthesis of AgNPs is emphasized. The various mechanisms and characterization techniques used in the study of silver nanoparticles will also be covered. This review also discusses the role of green synthesized AgNPs in antimicrobial and photocatalytic applications, which adds to our understanding of improving health, and the environment and preventing contagious diseases. 2022 by the authors. Creator An entity primarily responsible for making the resource Narayanaswamy S.; Bhaskar R.; Jayadevappa R.K.K.; Ramachandran S.K.M.; Prasad M.A. Source A related resource from which the described resource is derived Letters in Applied NanoBioScience, Vol-12, No. 4 Publisher An entity responsible for making the resource available AMG Transcend Association 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/10.33263/LIANBS124.140" target="_blank" rel="noreferrer noopener">https://doi.org/10.33263/LIANBS124.140</a> <a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85151958470&doi=10.33263%2FLIANBS124.140&partnerID=40&md5=54318f0ec590b38ac7acd50f3d1be812" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85151958470&doi=10.33263%2fLIANBS124.140&partnerID=40&md5=54318f0ec590b38ac7acd50f3d1be812</a> Rights Information about rights held in and over the resource All Open Access; Gold Open Access Relation A related resource ISSN: 22846808 Format The file format, physical medium, or dimensions of the resource Online Language A language of the resource English Type The nature or genre of the resource Review Coverage The spatial or temporal topic of the resource, the spatial applicability of the resource, or the jurisdiction under which the resource is relevant Narayanaswamy S., Department of Physics, RV Institute of Technology and Management, Bengaluru, 560 076, India; Bhaskar R., Department of Life Sciences, Christ (Deemed to be University), Hosur Road, Bengaluru, 560 029, India; Jayadevappa R.K.K., Department of Chemistry, RV Institute of Technology and Management, Bengaluru, 560 076, India; Ramachandran S.K.M., Department of Physics, RV Institute of Technology and Management, Bengaluru, 560 076, India; Prasad M.A., Department of Physics, Dayananda Sagar College of Engineering, Kumaraswamy Layout, Karnataka, Bangalore, 560 078, 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 Naredla, Suman; Singh, Madhulika; Chaturvedi, Nidhi; Banerjee, Devleena; Gobinath, V.M.; Anil Tiwari, Dr. Title A name given to the resource AI and IoT in Digital Marketing: Enhancing Automation, Personalization, and Consumer Interaction 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 Pervasive Computational Technologies, ICPCT 2025;pp.895-899 Identifier An unambiguous reference to the resource within a given context <a href="https://doi.org/10.1109/ICPCT64145.2025.10941275" target="_blank" rel="noreferrer noopener">https://doi.org/10.1109/ICPCT64145.2025.10941275</a> <a href="https://www.scopus.com/pages/publications/105002869516?origin=resultslist" target="_blank" rel="noreferrer noopener">https://www.scopus.com/pages/publications/105002869516?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 Naredla S., Sr University, School of Business, Telangana, Warangal, India; Singh M., Quantum University, Computer Science and Engineering, Uttarakhand, Roorkee, India; Chaturvedi N., Emirates Aviation University, Faculty of Business Management, Dubai, United Arab Emirates; Banerjee D., Christ University, India; Gobinath V.M., Rajalakshmi Institute of Technology, Mechanical Engineering Department, Tamilnadu, Chennai, India; Anil Tiwari D., Rnb Global University Bikaner, Department of Commerce and Management, India Description An account of the resource An interconnected system of Internet-enabled devices that can collect and transmit statistics via a wireless connection without the assistance of people is known as the Internet of Things (IoTs). Accordingly, the IoT's seductive power is causing significant shifts in the current corporate environment. The digital marketing industry stands to gain the most from this innovation, which is currently causing major shifts in many other sectors. Using a variety of digital marketing strategies, this innovation gathers numerous types of consumer statistics. IoT technological advancements' impact on digital marketing tactics and customer interaction has emerged as a crucial research topic as it begins to pervade many facets of everyday existence. This investigation examines the application of IoT-based machine learning (ML) in digital marketing for the food business. To give ML-based suggestions, consumer data is analyzed, interests are identified, and conduct is predicted using ML approaches. The ensemble technique aggregates the results of multiple ML techniques to produce an individual forecast. The accuracy matrices graphs for the K-nearest neighbor and decision trees produced excellent estimations, with 100% accuracy and 0.0 error, correspondingly. The nae Bayes method achieved 97.2% accuracy with a 0.029 error, successfully identifying the right tags across every category. The guided ensemble of 3 ML methods is demonstrated by effectively enhancing digital marketing tactics in the food distribution industry by reducing duration and expenses. 2025 IEEE. Subject The topic of the resource and Consumer interaction; Artificial intelligence; Digital marketing; Internet of things; Machine learning Publisher An entity responsible for making the resource available Institute of Electrical and Electronics Engineers Inc. Relation A related resource ISBN: 979-833150868-5; Language A language of the resource English Type The nature or genre of the resource Conference paper Rights Information about rights held in and over the resource Restricted Access; Hardcopy may be available in the library Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource 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 Moisture-Sensitive Fe2O3 Nanoparticle-Based Magnetic Soft Actuators Subject The topic of the resource DFT; flexible actuator; moisture; soft magnetic actuators; soft robotics Description An account of the resource Multifunctional soft robots are emerging as a new-generation intelligent device for challenging environments. To meet the requirements of smart applications and soft robotics, developing a soft actuator capable of multiple functions and mechanical deformation is essential. In this study, we designed a free-standing magnetic soft actuator constructed from iron oxide (Fe2O3) nanoparticles and poly(vinyl alcohol) (PVA), that responds to both moisture and magnetic fields. We used computational modeling (density functional theory and ab initio molecular dynamics) to explain the experimental findings demonstrating the deformation and high-bending angle (?150), which is about twice as large under combined moisture and magnetic field exposure compared to their individual effect. Additionally, a flower-shaped soft robot was designed by using the continuous bending deformation of the actuator in response to moisture changes, performing directional bending in an ambient environment. These findings demonstrate the materials sensitivity to moisture and magnetic fields, opening up new possibilities for designing responsive structures in the smart device industry. 2024 American Chemical Society. Creator An entity primarily responsible for making the resource Narendhiran S.; Meher S.; Midya S.; Mishra S.; Prusti S.P.; Balachandran M.; Singh A.K.; Kumbhakar P. Source A related resource from which the described resource is derived ACS Applied Nano Materials, Vol-7, No. 17, pp. 21200-21208. Publisher An entity responsible for making the resource available American Chemical Society 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/10.1021/acsanm.4c04627" target="_blank" rel="noreferrer noopener">https://doi.org/10.1021/acsanm.4c04627</a> <a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85202751803&doi=10.1021%2Facsanm.4c04627&partnerID=40&md5=e2c5de6cc7174167224d32a6959f98d0" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85202751803&doi=10.1021%2facsanm.4c04627&partnerID=40&md5=e2c5de6cc7174167224d32a6959f98d0</a> Rights Information about rights held in and over the resource Restricted Access Relation A related resource ISSN: 25740970 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 Narendhiran S., Department of Physics and Electronics, CHRIST (Deemed to be University), Bangalore, 560029, India; Meher S., Materials Research Centre, Indian Institute of Science, Karnataka, Bangalore, 560012, India; Midya S., Materials Research Centre, Indian Institute of Science, Karnataka, Bangalore, 560012, India; Mishra S., Materials Research Centre, Indian Institute of Science, Karnataka, Bangalore, 560012, India; Prusti S.P., Department of Physics and Electronics, CHRIST (Deemed to be University), Bangalore, 560029, India; Balachandran M., Department of Physics and Electronics, CHRIST (Deemed to be University), Bangalore, 560029, India; Singh A.K., Materials Research Centre, Indian Institute of Science, Karnataka, Bangalore, 560012, India; Kumbhakar P., Department of Physics and Electronics, CHRIST (Deemed to be University), Bangalore, 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 Nickel Telluride Quantum Dots as a Counter Electrode for an Efficient Dye-Sensitized Solar Cell Subject The topic of the resource density functional theory; DSSCs; electrocatalysts; NiTe2; two-dimensional material Description An account of the resource Transition-metal dichalcogenides (TMDs) have recently emerged as highly appealing and efficient options for electrodes in dye-sensitized solar cells (DSSCs), effectively substituting the scarce and expensive metal platinum (Pt). In this work, nickel telluride (NiTe2) quantum dots (QDs) were effectively used as a counter electrode for DSSCs by providing a sustainable alternative to the scarce platinum (Pt). The DSSC based on NiTe2 QDs shows a power conversion efficiency (?) of ?8.06%, which is comparatively better than exfoliated NiTe2 (? ? 6.58%). The density functional theory (DFT) was employed to comprehensively understand the underlying mechanisms involved in the charge transfer between the QDs and the electrolyte species. The outcomes demonstrated the benefits of creating diverse structural configurations designed to enhance interfacial transport, ensure an even distribution of active facets, and improve the electrocatalytic performance in the DSSC process.(Figure Presented). 2023 American Chemical Society. Creator An entity primarily responsible for making the resource Narendhiran S.; Midya S.; Mahapatra P.L.; Balachandran M.; Tiwary C.S.; Singh A.K.; Kumbhakar P. Source A related resource from which the described resource is derived ACS Applied Electronic Materials, Vol-6, No. 1, pp. 487-495. Publisher An entity responsible for making the resource available American Chemical Society 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/10.1021/ACSAELM.3C01472" target="_blank" rel="noreferrer noopener">https://doi.org/10.1021/ACSAELM.3C01472</a> <a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85181802898&doi=10.1021%2FACSAELM.3C01472&partnerID=40&md5=c708c215178bb6426c6bb2219ec60609" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85181802898&doi=10.1021%2fACSAELM.3C01472&partnerID=40&md5=c708c215178bb6426c6bb2219ec60609</a> Rights Information about rights held in and over the resource Restricted Access Relation A related resource ISSN: 26376113 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 Narendhiran S., Department of Physics and Electronics, CHRIST (Deemed to be University), Bangalore, 560029, India; Midya S., Materials Research Centre, Indian Institute of Science, Karnataka, Bangalore, 560012, India; Mahapatra P.L., School of Nanoscience and Technology, Indian Institute of Technology Kharagpur, West Bengal, Kharagpur, 721302, India; Balachandran M., Department of Physics and Electronics, CHRIST (Deemed to be University), Bangalore, 560029, India; Tiwary C.S., Department of Metallurgical and Materials Engineering, Indian Institute of Technology Kharagpur, West Bengal, Kharagpur, 721302, India; Singh A.K., Materials Research Centre, Indian Institute of Science, Karnataka, Bangalore, 560012, India; Kumbhakar P., Department of Physics and Electronics, CHRIST (Deemed to be University), Bangalore, 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 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 Automated Leukaemia Prediction and Classification Using Deep Learning Techniques Subject The topic of the resource accuracy; activation function; and associative memory; bone marrow; classification; DL; Leukaemia; neural network; neurons Description An account of the resource Leukemia is typically diagnosed based on an abnormal blood count, frequently an elevated White Blood Cell (WBC) count. The diagnosis is established through bone marrow, replaced by neoplastic cells. Acute Lymphoblastic Leukemia (ALL) is a type of leukaemia that affects the blood and bone marrow. Leukaemia primarily affects children and adults around the world. Early leukaemia detection is critical for appropriately treating patients, especially children. This research aims to present a diagnostic method that uses computational intelligence and image processing algorithms to identify blast cells from ALL images. The medical image is prepared initially using the preprocessing and segmentation technique for efficient classification. In this research, the type is accomplished using Bidirectional Associative Memory Neural Networks (BAMNN), where the accuracy is 96.87%, the highest classification rate and outperforms the existing technique. 2023 IEEE. Creator An entity primarily responsible for making the resource Narendran M.; Amarendra K.; Revathy D.; Divyapushpalakshmi M.; Sharma D.K.; Upreti K. Source A related resource from which the described resource is derived 2023 International Conference on Communication, Security and Artificial Intelligence, ICCSAI 2023, pp. 420-425. Publisher An entity responsible for making the resource available Institute of Electrical and Electronics Engineers Inc. Date A point or period of time associated with an event in the lifecycle of the resource 2023-01-01 Identifier An unambiguous reference to the resource within a given context <a href="https://doi.org/10.1109/ICCSAI59793.2023.10421708" target="_blank" rel="noreferrer noopener">https://doi.org/10.1109/ICCSAI59793.2023.10421708</a> <a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85186641652&doi=10.1109%2FICCSAI59793.2023.10421708&partnerID=40&md5=76197f35db710995a317bfa5462e7c87" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85186641652&doi=10.1109%2fICCSAI59793.2023.10421708&partnerID=40&md5=76197f35db710995a317bfa5462e7c87</a> Rights Information about rights held in and over the resource Restricted Access Relation A related resource ISBN: 979-835036996-0 Format The file format, physical medium, or dimensions of the resource Online Language A language of the resource English Type The nature or genre of the resource Conference paper Coverage The spatial or temporal topic of the resource, the spatial applicability of the resource, or the jurisdiction under which the resource is relevant Narendran M., Kcg College of Technology, Department of Information Technology, Tamil Nadu, Chennai, India; Amarendra K., Koneru Lakshmaiah Education Foundation, Department of Computer Science and Engineering, Andhra Pradesh, Vaddeswaram, 522502, India; Revathy D., Karpaga Vinayaga College of Engineering and Technology, Department of Computer Science and Engineering, Tamil Nadu, Chengalpet, India; Divyapushpalakshmi M., Gitam University, Department of Computer Science and Engineering, Bengaluru, 561203, India; Sharma D.K., Jaypee University of Engineering and Technology, Department of Mathematics, Madhya Pradesh, Guna, 473226, India; Upreti K., Christ (Deemed to Be University), Department of Computer Science, Delhi -NCR, Ghaziabad, India Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Conference Papers Conference Paper Faculty Publications- Conference Papers Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource An Efficient Quantum Transfer Learning for Cancer Prediction Using Tumour Markers: New Era of Computer in Medical Subject The topic of the resource accuracy; antigen; biomarkers; diagnosis; ovarian cancer; prediction; prognosis; Quantum learning; transfer learning; tumour Description An account of the resource Ovarian cancer prediction models or algorithms estimate a person's risk of getting the disease based on different variables, such as their medical history, genetics, and biomarkers. Early identification and intervention will enhance patient successive diagnosis outcomes. Tumour markers are chemicals frequently detected in higher concentrations than usual in cancer patient's blood, urine, or tissues. They could be certain chemicals or proteins linked to the presence of tumours or cancer kinds. Tumour markers are employed for diagnosis, prognosis, and treatment response monitoring. Applying information or models from one quantum job to enhance the performance of another requires quantum transfer learning. Transferring knowledge from one domain to another seeks to increase learning effectiveness in novel quantum contexts. The main goal of efficient Quantum Transfer Learning (QTL) is to minimize the resources (computer power, data, or time) necessary to transfer between tasks successfully. In this research work, QTL is used to predict Ovarian Cancer (OC) with the assistance of biomarkers. The Quantum Transfer Learning- Ovarian Cancer (QTL-OC) achieves 93.78% accuracy and outperforms the existing techniques. 2023 IEEE. Creator An entity primarily responsible for making the resource Narendran M.; Andi H.K.; Sharma D.K.; Amarendra K.; Uma S.; Poonia R.C. Source A related resource from which the described resource is derived 2023 International Conference on Communication, Security and Artificial Intelligence, ICCSAI 2023, pp. 432-437. Publisher An entity responsible for making the resource available Institute of Electrical and Electronics Engineers Inc. Date A point or period of time associated with an event in the lifecycle of the resource 2023-01-01 Identifier An unambiguous reference to the resource within a given context <a href="https://doi.org/10.1109/ICCSAI59793.2023.10421549" target="_blank" rel="noreferrer noopener">https://doi.org/10.1109/ICCSAI59793.2023.10421549</a> <a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85186679596&doi=10.1109%2FICCSAI59793.2023.10421549&partnerID=40&md5=b01a0309ee6aed345006b0543ea25a9a" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85186679596&doi=10.1109%2fICCSAI59793.2023.10421549&partnerID=40&md5=b01a0309ee6aed345006b0543ea25a9a</a> Rights Information about rights held in and over the resource Restricted Access Relation A related resource ISBN: 979-835036996-0 Format The file format, physical medium, or dimensions of the resource Online Language A language of the resource English Type The nature or genre of the resource Conference paper Coverage The spatial or temporal topic of the resource, the spatial applicability of the resource, or the jurisdiction under which the resource is relevant Narendran M., Kcg College of Technology, Department of Information Technology, Tamil Nadu, Chennai, India; Andi H.K., Asia Metropolitan University, Centre for Postgraduate Studies, Malaysia; Sharma D.K., Jaypee University of Engineering and Technology, Department of Mathematics, Madhya Pradesh, Guna, 473226, India; Amarendra K., Koneru Lakshmaiah Education Foundation, Department of Computer Science and Engineering, Andhra Pradesh, Vaddeswaram, 522502, India; Uma S., Dhanalakshmi Srinivasan College of Engineering and Technology, Department of Computer Science and Engineering, Tamil Nadu, Mamallapuram, India; Poonia R.C., Christ (Deemed to Be University), Department of Computer Science, Delhi-NCR, Uttar Pradesh, Ghaziabad, 201003, India Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource 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 Narendranath, S.; Pillai, Netra S.; Tadepalli, Srikar P.; Vadodariya, K.; Mithun, N.P.S.; Devaraj, A.; Vaishali, S.; Radhakrishna, V.; Tyagi, A.; Vadawale, S. Title A name given to the resource CLASS onboard Chandrayaan-2: Five years around the Moon 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 Astrophysics and Astronomy;Volume;46;Issue;1;Article No.;27; Identifier An unambiguous reference to the resource within a given context <a href="https://doi.org/10.1007/s12036-025-10053-z" target="_blank" rel="noreferrer noopener">https://doi.org/10.1007/s12036-025-10053-z</a> <a href="https://www.scopus.com/pages/publications/105004696827?origin=resultslist" target="_blank" rel="noreferrer noopener">https://www.scopus.com/pages/publications/105004696827?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 Narendranath S., Space Astronomy Group, U R Rao Satellite Centre, ISRO, Bengaluru, 560017, India; Pillai N.S., Space Astronomy Group, U R Rao Satellite Centre, ISRO, Bengaluru, 560017, India, Centre for Earth Sciences, Indian Institute of Science, Bengaluru, 560012, India; Tadepalli S.P., Space Astronomy Group, U R Rao Satellite Centre, ISRO, Bengaluru, 560017, India, Indian Institute of Technology BHU, Hindu University Campus, Varanasi, 221005, India; Vadodariya K., Space Astronomy Group, U R Rao Satellite Centre, ISRO, Bengaluru, 560017, India; Mithun N.P.S., Physical Research Laboratory, Navrangpura, Ahmedabad, 380009, India; Devaraj A., Christ University, Bangalore Central Campus, Hosur Road, Near Dairy Circle, Bengaluru, 560029, India; Vaishali S., Space Astronomy Group, U R Rao Satellite Centre, ISRO, Bengaluru, 560017, India; Radhakrishna V., Space Astronomy Group, U R Rao Satellite Centre, ISRO, Bengaluru, 560017, India; Tyagi A., Space Astronomy Group, U R Rao Satellite Centre, ISRO, Bengaluru, 560017, India; Vadawale S., Physical Research Laboratory, Navrangpura, Ahmedabad, 380009, India Description An account of the resource Chandrayaan-2 Large Area soft X-ray Spectrometer (CLASS) is a remote X-ray Fluorescence experiment to map the lunar surface elemental abundances. With its large effective area and low energy threshold, CLASS generates the highest spatial resolution maps of all major rock-forming elements on the Moon, such as Mg, Al, Si, Ca, Ti, and Fe. Five years of operation in lunar orbit has resulted in global coverage. With several lunar missions planned for this decade for in situ exploration and sample returns, the 155 km geochemical maps from CLASS will serve as an important dataset. This article highlights the scientific results of CLASS in the last five years and discusses its potential applications. Indian Academy of Sciences 2025. Subject The topic of the resource Chandrayaan-2; CLASS; X-ray fluorescence Publisher An entity responsible for making the resource available Springer Relation A related resource ISSN: 2506335; Language A language of the resource English Type The nature or genre of the resource Article Rights Information about rights held in and over the resource Restricted Access; Hardcopy may be available in the library Format The file format, physical medium, or dimensions of the resource online Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Articles Article Faculty Publications -Articles Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource A secure and light weight privacy preserving data aggregation algorithm for wireless sensor networks Subject The topic of the resource Data aggregation; Privacy preserving; Wireless communication; WSN Description An account of the resource WSN is a collection of sensors, which senses critical information related to military, opponent tracking, patient health details etc. These sensed critical and private data will be collected and aggregated by aggregators and forward it to the base station. Due to the involvement of sensitive data, there is a demand for secure transmission and privacy preserving data aggregation. In this paper, we propose a light weight, secure, multi party, privacy preserving data aggregation scheme, in which one or more sensors share their private data with aggregator securely without revealing the original content. The aggregators also perform the aggregation operation without knowing the original content. 2020 Alpha Publishers. Creator An entity primarily responsible for making the resource Naresh Babu M.M.; Chakravarthy A.S.N.; Ravindranath C. Source A related resource from which the described resource is derived Journal of Green Engineering, Vol-10, No. 12, pp. 13329-13336. Publisher An entity responsible for making the resource available Alpha Publishers Date A point or period of time associated with an event in the lifecycle of the resource 2020-01-01 Identifier An unambiguous reference to the resource within a given context <a href="" target="_blank" rel="noreferrer noopener"></a> <a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85099133272&partnerID=40&md5=9f5c5fe9379401449fc69fa77da54351" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85099133272&partnerID=40&md5=9f5c5fe9379401449fc69fa77da54351</a> Rights Information about rights held in and over the resource Restricted Access Relation A related resource ISSN: 19044720 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 Naresh Babu M.M., Dept. of Computer Science & Engineering, JNTU Kakinada, Kakinada, A.P, India; Chakravarthy A.S.N., Dept. of Computer Science & Engineering, JNTU Kakinada, Kakinada, A.P, India; Ravindranath C., Dept. of Computer Science & Engineering, Christ University, Bengaluru, Karnataka, India Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Conference Papers Conference Paper Faculty Publications- Conference Papers Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource The Influence of Alloying Constituent Fe on Mechanical Properties of NiTi Based Shape Memory Alloys Subject The topic of the resource Martensite Transformation; Mechanical Properties; Microstructure; Shape Memory Alloy; TiNiFe Description An account of the resource The influences of Fe-addition on phase transformation behavior, mechanical properties and microstructure of Ti50Ni50-xFex alloys were investigated by means of optical microscopy, scanning electron microscopy (SEM) and X-ray diffraction (XRD). Results indicate that, as a substitute for Ni, Fe added to TiNi alloys can dramatically decrease the martensite transformation temperature and R phase transformation and martensite transformation are accordingly separated. The results show that TiNiFe alloys exhibit two-step martensitic transformation. The start temperature of martensitic transformation increases sharply from 212 K to 267 K when 2% Fe is added in, and then decreases gradually if Fe content further increases. The hardness of TiNiFe ternary alloys before heat treatment is constant for up to 6% of the composition and suddenly increases for 9% composition and also it behaves same for heat treated specimens because of formation of equilibrium precipitates Ni3Ti formation. 2017 Elsevier Ltd. Creator An entity primarily responsible for making the resource Naresh H.; Bharath H.S.; Prashantha S. Source A related resource from which the described resource is derived Materials Today: Proceedings, Vol-4, No. 10, pp. 11251-11259. 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 2017-01-01 Identifier An unambiguous reference to the resource within a given context <a href="https://doi.org/10.1016/j.matpr.2017.09.047" target="_blank" rel="noreferrer noopener">https://doi.org/10.1016/j.matpr.2017.09.047</a> <a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85031783537&doi=10.1016%2Fj.matpr.2017.09.047&partnerID=40&md5=15385f2547093b2bc882fff974b972da" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85031783537&doi=10.1016%2fj.matpr.2017.09.047&partnerID=40&md5=15385f2547093b2bc882fff974b972da</a> Rights Information about rights held in and over the resource Restricted Access Relation A related resource ISSN: 22147853 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 Naresh H., Christ University, Bengaluru, 560074, India; Bharath H.S., Siddaganga Institute of Technology, BH Road Tumkur, 572106, India; Prashantha S., Siddaganga Institute of Technology, BH Road Tumkur, 572106, 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 Investigation into the Mechanical, Fatigue and Superplastic Characteristics of Shape Memory Alloys (SMA) in CuAlMn, CuAlBeMn, and CuAlFeMn Compositions and Their Composite Variants Subject The topic of the resource Composite variants; Crack strength; Energy absorption capacity; Materials; Residual strength; Shape memory alloy; Shape recovery Description An account of the resource Shape memory alloys (SMAs) exhibit high sensitivity to compositional changes in terms of their super elasticity, shape memory effect, and transition temperatures. A deeper comprehension of SMA composition and its impact on mechanical properties can be attained by differential scanning calorimetry. The current study uses experimental work to assess the energy absorption capacity, mean fracture width, residual strength, and cracking strength of samples made of short shape memory alloy (SMA) fibers that are randomly distributed on the specimens tensile side. In this investigation, three samples were synthesized based on the Cu, Al, and Mn proportions found in CuAlMn shape memory alloys (SMA1, SMA2, and SMA3). Moreover, three samples with different ratios of Cu, Al, Mn, Be, and Fe were synthesized for the shape memory alloys CuAlBeMn and CuAlFeMn (SMA2, and SMA3). The synthesized CuAlMn, CuAlBeMn, and CuAlFeMn SMA alloys showed good strain recovery, ranging from 90 to 95%. The martensite that forms and changes when the alloys are heated and quenched mostly controls the strain recovery by the corresponding SMAs. SMA 2 of the CuAlBeMn has a greater strain recovery rate, rising by 8.5% and 44.38%, respectively, in comparison to SMA 1 and SMA 3. CuAlBiMn shape memory alloys demonstrated superior super elasticity and martensite stability in comparison to SMA 1 and SMA 2 respectively. SMA 1 and SMA 2 demonstrated greater residual strength, cracking strength, and energy absorption capacity for all fiber volume fractions. The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2024. Creator An entity primarily responsible for making the resource Naresh H.; Prashantha S.; Ramesha K.; Santhosh N.; Manjunatha M.C. Source A related resource from which the described resource is derived Springer Proceedings in Materials, Vol-60, pp. 407-422. Publisher An entity responsible for making the resource available Springer Date A point or period of time associated with an event in the lifecycle of the resource 2024-01-01 Identifier An unambiguous reference to the resource within a given context <a href="https://doi.org/10.1007/978-981-97-7071-7_30" target="_blank" rel="noreferrer noopener">https://doi.org/10.1007/978-981-97-7071-7_30</a> <a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85210416278&doi=10.1007%2F978-981-97-7071-7_30&partnerID=40&md5=ecffb37d881c2c8d82c89c867b6a0b34" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85210416278&doi=10.1007%2f978-981-97-7071-7_30&partnerID=40&md5=ecffb37d881c2c8d82c89c867b6a0b34</a> Rights Information about rights held in and over the resource Restricted Access Relation A related resource ISSN: 26623161 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 Naresh H., Department of Mechanical Engineering, Siddaganga Institute of Technology, Tumakuru, 572103, India; Prashantha S., Department of Mechanical Engineering, Siddaganga Institute of Technology, Tumakuru, 572103, India; Ramesha K., Department of Mechanical and Automobile Engineering, Christ University, Kengeri, Bangalore, 560067, India; Santhosh N., Department of Mechanical Engineering, MVJ College of Engineering, Bangalore, 560067, India; Manjunatha M.C., Department of Mechanical Engineering, Bangalore Institute of Technology, Bangalore, 560067, 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 Ethics of digital journalism Subject The topic of the resource Digital media; Ethics; Journalists; Professionalism; Technology Description An account of the resource Marshall McLuhan proposed that technological changes impact society. Digital media has enabled journalists to reach their audiences instantly with the news. Journalists need more time to decide what to report and how to present it. Ethics is the belief about what is morally correct or acceptable. Traditionally, newspaper reporters devised moral codes to help them in their professional decision-making. There emerged an almost universal set of principles that guided journalists in their profession. Television journalists were compelled to draw up a code of ethics to ward off criticism about sensationalism. Digital media has blurred the distinction between professional and citizen journalists. Twitter allows the man in the street to break the news as it happens. Privacy and copyright are just two of the significant issues that digital journalists must deal with. Digital media throws up these challenges, and this chapter aims to answer them. Is it acceptable to extend the ethical standards of old media to the digital space, or do we need a new set of ethics to guide digital journalists? New principles and ethical standards are being framed to tackle the unique challenges of digital news media. The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2024. All rights reserved. Creator An entity primarily responsible for making the resource Naresh Rao H. Source A related resource from which the described resource is derived Handbook of Digital Journalism: Perspectives from South Asia, pp. 545-553. Publisher An entity responsible for making the resource available Springer Date A point or period of time associated with an event in the lifecycle of the resource 2024-01-01 Identifier An unambiguous reference to the resource within a given context <a href="https://doi.org/10.1007/978-981-99-6675-2_46" target="_blank" rel="noreferrer noopener">https://doi.org/10.1007/978-981-99-6675-2_46</a> <a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85206626685&doi=10.1007%2F978-981-99-6675-2_46&partnerID=40&md5=d3c6b4439e48d7c52c9379a4c3effbfc" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85206626685&doi=10.1007%2f978-981-99-6675-2_46&partnerID=40&md5=d3c6b4439e48d7c52c9379a4c3effbfc</a> Rights Information about rights held in and over the resource Restricted Access Relation A related resource ISBN: 978-981996675-2; 978-981996674-5 Format The file format, physical medium, or dimensions of the resource Online Language A language of the resource English Type The nature or genre of the resource Book chapter Coverage The spatial or temporal topic of the resource, the spatial applicability of the resource, or the jurisdiction under which the resource is relevant Naresh Rao H., Department of Media Studies, Christ (Deemed to be University), Bangalore, India Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Articles Article Faculty Publications -Articles Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource A Reflection on the Current Status of Animal-Assisted Therapy in India Subject The topic of the resource Animal-assisted interventions; Human-animal bond; Mental health; Pet therapy; Review; Therapy dogs Description An account of the resource The field of animal-assisted therapy is advancing quickly throughout the world gaining popularity as a complementary therapy. Several countries, especially in the East, are still in their nascent phase in utilizing animal-assisted therapy and a more realistic presentation of their status should drive them towards effective initiatives to promote the field. The primary objective of this paper is to throw light on the current scenario of animal-assisted therapy in India. The relevant databases such as Scopus, Google Scholar, Proquest, PubMed, and JSTOR were searched to identify the research literature. The organizational websites, news, and blog articles, as well as institutional repositories, were explored to maximize the evidence. A total of 24 articles were found which included published research articles as well as unpublished conference papers. Results found a dearth of practice and research throughout the country indicating an urgent need to direct steps in promoting the growth of the field. The contemporary issues in the implementation of animal-assisted therapy such as cultural and religious beliefs, lack of awareness, lack of practising organizations and therapists warrant immediate attention. Reducing the research and practice gap alongside focusing on creating awareness, changing public perception, introducing coursework in educational institutions, the publication of evidence-based research will help in the acceptance and growth of this novel therapeutic field. 2021, The Author(s), under exclusive licence to Springer Nature Switzerland AG. Creator An entity primarily responsible for making the resource Narvekar H.N. Source A related resource from which the described resource is derived Human Arenas, Vol-6, No. 4, pp. 760-775. Publisher An entity responsible for making the resource available Springer Science and Business Media B.V. Date A point or period of time associated with an event in the lifecycle of the resource 2023-01-01 Identifier An unambiguous reference to the resource within a given context <a href="https://doi.org/10.1007/s42087-021-00250-x" target="_blank" rel="noreferrer noopener">https://doi.org/10.1007/s42087-021-00250-x</a> <a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85115068039&doi=10.1007%2Fs42087-021-00250-x&partnerID=40&md5=b8db96e2a48a3df009f3f8ff06fad63b" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85115068039&doi=10.1007%2fs42087-021-00250-x&partnerID=40&md5=b8db96e2a48a3df009f3f8ff06fad63b</a> Rights Information about rights held in and over the resource All Open Access; Bronze Open Access Relation A related resource ISSN: 25225804 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 Narvekar H.N., Department of Psychology, CHRIST (Deemed to be University), Bangalore, 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 Animal-Assisted Therapy for the Promotion of Social Competence: a Conceptual Framework Subject The topic of the resource Animal-assisted interventions; Human-animal bond; Neurodevelopmental disorders; Social adaptation; Social maturity Description An account of the resource Developmental disorders have a substantial effect on the social competence of children affecting their overall psychosocial functioning. Social competence entails the process of being socially mature by establishing stable and adaptive patterns of social behavior. Animal-assisted therapy, as an alternative treatment modality, has offered some new prospects for improving social cognition. This conceptual paper, thus, attempts to throw light on how animal-assisted therapy can help improve social competence. The paper draws its knowledge from the existing theories and empirical work done to propose a conceptual framework that can enhance social competence by incorporating therapy animals. It can be concluded that animal-assisted therapy has found to improve different dimensions crucial for development of social competence. This further suggests the dire need to explore the effectiveness of human-animal interactions by utilizing it for improving social competence. 2022, The Author(s), under exclusive licence to Springer Nature Switzerland AG. Creator An entity primarily responsible for making the resource Narvekar H.N.; Ghani S. Source A related resource from which the described resource is derived Human Arenas Publisher An entity responsible for making the resource available Springer Science and Business Media B.V. Date A point or period of time associated with an event in the lifecycle of the resource 2022-01-01 Identifier An unambiguous reference to the resource within a given context <a href="https://doi.org/10.1007/s42087-022-00313-7" target="_blank" rel="noreferrer noopener">https://doi.org/10.1007/s42087-022-00313-7</a> <a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85139122163&doi=10.1007%2Fs42087-022-00313-7&partnerID=40&md5=fa464963ce0383c5ecb279da27018f6a" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85139122163&doi=10.1007%2fs42087-022-00313-7&partnerID=40&md5=fa464963ce0383c5ecb279da27018f6a</a> Rights Information about rights held in and over the resource Restricted Access Relation A related resource ISSN: 25225804 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 Narvekar H.N., Department of Psychology, CHRIST (Deemed to be University), Karnataka, Bangalore, 560029, India; Ghani S., Department of Psychology, CHRIST (Deemed to be University), Karnataka, Bangalore, 560029, India Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Book Chapter Book Chapter Faculty Publications- Book Chapter Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Animal-assisted therapy for children and adolescents with neurodevelopmental disorders: A review Description An account of the resource The increase in neurodevelopmental disorders presents the need for complementary and alternative treatment modalities to support well-being in the maximum possible way. This narrative review was conducted with the aim to explore how animal-assisted therapy as a complementary treatment approach is beneficial for children and adolescents with neurodevelopmental disorders. A search in various databases was conducted to identify articles published in the field of animal-assisted interventions. The review comprised of a total of 32 studies. The discussion of the results was presented in terms of different therapy animals incorporated into the therapeutic environment. The review indicated that animal-assisted therapy has the potential to improve symptoms and various psycho-social variables in individuals suffering from different developmental disabilities. 2024, IGI Global. All rights reserved. Creator An entity primarily responsible for making the resource Narvekar H.N.; Krishnan U. Source A related resource from which the described resource is derived Handbook of Research on Child and Adolescent Psychology Practices and Interventions, pp. 324-340. 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/10.4018/978-1-6684-9983-2.ch017" target="_blank" rel="noreferrer noopener">https://doi.org/10.4018/978-1-6684-9983-2.ch017</a> <a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85180379037&doi=10.4018%2F978-1-6684-9983-2.ch017&partnerID=40&md5=b38656a6617f450a3e483d07fc538d3d" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85180379037&doi=10.4018%2f978-1-6684-9983-2.ch017&partnerID=40&md5=b38656a6617f450a3e483d07fc538d3d</a> Rights Information about rights held in and over the resource Restricted Access Relation A related resource ISBN: 978-166849984-9; 978-166849983-2 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 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 Narvekar H.N., Christ University, India; Krishnan U., Christ University, India