45 20 11858 Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Conference Papers Conference Paper Faculty Publications- Conference Papers Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Capacity Aware Active Monitoring Load Balancing Principle for Private Cloud Subject The topic of the resource Active monitoring load balancing; Cloud computing; Load balancing; Request scheduler; Z-score Description An account of the resource Virtual machines (VMs) are the basic compute elements in cloud computing. There are load balancing principles associated with a job scheduler assigns the requests to these computing elements. Deploying an effective load balancing principle enhances better performance that ultimately achieves users satisfaction at the high level. Assigning an equal requests load appropriate to the capacity of the VMs will be a fair principle that can be the objective of any load balancing principle. Active monitoring load balancing principle assigns the requests to a server based on the pre-computed threshold limit. This paper presents a technique for assessing the capacity of the VMs based on a common attribute. This work measures each VMs processing ability as a percentage using the statistical method called Z-score. A threshold is quantified and the requests are proportioned based on this threshold value. Each server is then assigned with the proportioned requests. Suitable experiments were conducted Requests Assignment Simulator (RAS), a customized cloud simulator. The results prove that the performance of the proposed principle is comparatively better than a few load balancing principles. Areas of future extension of this work were also identified. 2021, The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. Creator An entity primarily responsible for making the resource Arokia Paul Rajan R. Source A related resource from which the described resource is derived Lecture Notes in Networks and Systems, Vol-154, pp. 123-130. Publisher An entity responsible for making the resource available Springer Science and Business Media Deutschland GmbH Date A point or period of time associated with an event in the lifecycle of the resource 2021-01-01 Identifier An unambiguous reference to the resource within a given context <a href="https://doi.org/10.1007/978-981-15-8354-4_13" target="_blank" rel="noreferrer noopener">https://doi.org/10.1007/978-981-15-8354-4_13</a> <a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85098208885&doi=10.1007%2F978-981-15-8354-4_13&partnerID=40&md5=52412f96dec561ec3a073ca080db4254" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85098208885&doi=10.1007%2f978-981-15-8354-4_13&partnerID=40&md5=52412f96dec561ec3a073ca080db4254</a> Rights Information about rights held in and over the resource Restricted Access Relation A related resource ISSN: 23673370; ISBN: 978-981158353-7 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 Arokia Paul Rajan R., 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 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 Evaluation and applying feature extraction techniques for face detection and recognition Subject The topic of the resource Convolutional Neural Network; Face Detection & Recognition; Feature Extraction; Gradients; Histogram of Oriented; Local Binary Pattern Description An account of the resource Detecting the image and identifying the face has become important in the field of computer vision in recognizing and analyzing, reconstructing into 3D, and labelling the image. Feature extraction is usually the first stage in detection and recognition of the image processing and computer vision. It supports the conversion of the image into a quantitative data. Later, this converted data can be used for labelling, classifying and recognizing a model. In this paper, performance of such feature extraction techniques viz. Local Binary Pattern (LBP), Histogram of Oriented Gradients (HOG) and Convolutional Neural Network (CNN) technique are applied to detect and recognize the face. The experiments conducted with a data set addressing the issues like pose variation, facial expression and intensity of light. The efficiency of the algorithms was evaluated based on the computational time and accuracy rate. 2018 Institute of Advanced Engineering and Science. All rights reserved. Creator An entity primarily responsible for making the resource Arokia Paul Rajan R.; Mathew A.R. Source A related resource from which the described resource is derived Indonesian Journal of Electrical Engineering and Informatics, Vol-7, No. 4, pp. 742-749. Publisher An entity responsible for making the resource available Institute of Advanced Engineering and Science 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/10.11591/ijeei.v7i4.935" target="_blank" rel="noreferrer noopener">https://doi.org/10.11591/ijeei.v7i4.935</a> <a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85078498440&doi=10.11591%2Fijeei.v7i4.935&partnerID=40&md5=257d3f8dae4d1c98fdfa2c4b3d195613" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85078498440&doi=10.11591%2fijeei.v7i4.935&partnerID=40&md5=257d3f8dae4d1c98fdfa2c4b3d195613</a> Rights Information about rights held in and over the resource All Open Access; Gold Open Access Relation A related resource ISSN: 20893272 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 Arokia Paul Rajan R., Department of Computer Science, CHRIST (Deemed to be University), Bangalore, Karnataka, India; Mathew A.R., Department of Computer Science, CHRIST (Deemed to be University), Bangalore, 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 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 Celebrity endorsements the interplay between intellectual property law and the consumer protection act, 2019 Subject The topic of the resource 2019; Celebrity Endorsement; Consumer Protection Act; Copyright Law; Hegelian Concept of Property; Merchandising Rights; Misleading Advertisements; Personality Rights; Right to Publicity Description An account of the resource The ambit of Copyright law has expanded over time, leading to development of newer concepts such as, Personality Rights. These rights are vested in individuals who have acquired an identifiable persona in the eyes of the public. There are two important facets to personality rights-Right to Publicity &Right to Privacy. When such identifiable identities use their acquired celebrity status to promote goods and services of a company to attract more consumers, it can be understood as Celebrity Endorsements. This is the most common source of marketing used by major companies to increase sales and garner goodwill and reputation. However, this source of communicating necessary information to the public becomes dangerous when celebrities promote false or misleading advertisements. To counter such issues, the Consumer Protection Act, 2019 introduced provisions tohold celebrities endorsing such products or services to be liable for injury suffered by consumers. The Law mandates that in order to ensure that such misleading advertisements arent promoted, the celebrities must conduct due diligence of the products before endorsing them. However, the question remains that to what extent can celebrities, who are not directly involved in production or manufacturing, be held liable for exploiting their personality rights? This paper aims at addressing the newly created legal interlink between personality rights via celebrity endorsements and protection of consumer interests. 2020, National Institute of Science Communication and Information Resources. All rights reserved. Creator An entity primarily responsible for making the resource Arora D. Source A related resource from which the described resource is derived Journal of Intellectual Property Rights, Vol-25, No. 6, pp. 173-179. Publisher An entity responsible for making the resource available National Institute of Science Communication and Information Resources 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-s2.0-85102559320&partnerID=40&md5=8977bd6ebb6427cd5d16bcf9bcaa24c9" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85102559320&partnerID=40&md5=8977bd6ebb6427cd5d16bcf9bcaa24c9</a> Rights Information about rights held in and over the resource Restricted Access Relation A related resource ISSN: 9717544 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 Arora D., School of Law, CHRIST (Deemed to be University), Hosur Road, Bengaluru Karnataka, 560 029, India Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource 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 Data Reduction Techniques in Wireless Sensor Networks with AI Subject The topic of the resource AI; data fusion; data integration; data reduction; the Internet of Things; Wireless sensor networks Description An account of the resource Due to their numerous uses in practically every part of life and their related problems, such as energy saving, a longer life cycle, and better resource usage, the research of wireless sensor networks is ongoing. Its extensive use successfully saves and processes a considerable volume of sensor data. Since the sensor nodes are frequently placed in challenging locations where less expensive resources are required for data collection and processing, this presents a new difficulty. One method for minimizing the quantity of sensor data is data reduction. A review of data reduction methods has been provided in this publication. The different data reduction approaches that have been put forth over the years have been examined, along with their advantages and disadvantages, ways in which they can be helpful, and whether or not using them in contexts with limited resources is worthwhile. 2022 IEEE. Creator An entity primarily responsible for making the resource Arora G.D.; Chopra N.K.; Gopinath N.; Ravichandran S.K.; Chakravarthi M.K.; Gangodkar D. Source A related resource from which the described resource is derived Proceedings of 5th International Conference on Contemporary Computing and Informatics, IC3I 2022, pp. 48-51. Publisher An entity responsible for making the resource available Institute of Electrical and Electronics Engineers Inc. Date A point or period of time associated with an event in the lifecycle of the resource 2022-01-01 Identifier An unambiguous reference to the resource within a given context <a href="https://doi.org/10.1109/IC3I56241.2022.10073380" target="_blank" rel="noreferrer noopener">https://doi.org/10.1109/IC3I56241.2022.10073380</a> <a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85151914963&doi=10.1109%2FIC3I56241.2022.10073380&partnerID=40&md5=4c94e765d0382b4de04b505cc4e8085f" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85151914963&doi=10.1109%2fIC3I56241.2022.10073380&partnerID=40&md5=4c94e765d0382b4de04b505cc4e8085f</a> Rights Information about rights held in and over the resource Restricted Access Relation A related resource ISBN: 979-835039826-7 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 Arora G.D., Vardhaman College of Engineering, Department of Artificial Intelligence (AI) and Machine Learning (ML), Hyderabad, India; Chopra N.K., Chandigarh Engineering College, Department of CSE, Mohali, Punjab, Landran, India; Gopinath N., Sri Sairam Engineering College, Department of Computer Science and Engineering, Tamil Nadu, Chennai, India; Ravichandran S.K., Christ University, Department of Computer Science and Engineering, Karnataka, Bangalore, India; Chakravarthi M.K., VIT-AP University, School of Electronics Engineering, Andhra Pradesh, Amravati, India; Gangodkar D., Graphic Era Deemed to Be University, Department of Computer Science & Engineering, Uttarakhand, Dehradun, 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 Corrosion behaviour in friction stir processed and welded materials Subject The topic of the resource Corrosion; Friction stir processing/welding; Grain refinement; Precipitate fragmentation Description An account of the resource This chapter presents a comprehensive study on the influence of friction stir processing/welding (FSW/FSP) on corrosion behaviour. It briefly discusses the different aspects of corrosion including corrosion types, measurement techniques and data analysis. The corrosion behaviour of a wide range of friction stir processed materials, including light weight metals such as magnesium and aluminum alloys, as well as high strength metals such as steel, has been discussed in detail. The influence of FSP parameters on the microstructural evolution, comprising grain-size and precipitate refinement along with its correlation with the corrosion properties, has been described for different materials. 2014 The authors and contributors. All rights reserved. Creator An entity primarily responsible for making the resource Arora H.S.; Mukherjee S.; Grewal H.S.; Singh H.; Dhindaw B.K. Source A related resource from which the described resource is derived Advances in Friction-Stir Welding and Processing, pp. 295-328. 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 2014-01-01 Identifier An unambiguous reference to the resource within a given context <a href="https://doi.org/10.1533/9780857094551.295" target="_blank" rel="noreferrer noopener">https://doi.org/10.1533/9780857094551.295</a> <a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-84942759203&doi=10.1533%2F9780857094551.295&partnerID=40&md5=9af0b189bc75fe3e93c3d7afe386c735" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-84942759203&doi=10.1533%2f9780857094551.295&partnerID=40&md5=9af0b189bc75fe3e93c3d7afe386c735</a> Rights Information about rights held in and over the resource Restricted Access Relation A related resource ISBN: 978-085709455-1; 978-085709454-4 Format The file format, physical medium, or dimensions of the resource Online Language A language of the resource English Type The nature or genre of the resource Book chapter Coverage The spatial or temporal topic of the resource, the spatial applicability of the resource, or the jurisdiction under which the resource is relevant Arora H.S., Department of Materials Science and Engineering, University of North Texas, Denton, 76203, TX, United States; Mukherjee S., Department of Materials Science and Engineering, University of North Texas, Denton, 76203, TX, United States; Grewal H.S., School of Mechanical, Materials and Energy Engineering, Indian Institute of Technology Ropar, Rupnagar, Punjab, 140001, India; Singh H., School of Mechanical, Materials and Energy Engineering, Indian Institute of Technology Ropar, Rupnagar, Punjab, 140001, India; Dhindaw B.K., Faculty of Engineering, Christ University, Bangalore, 560060, 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 Visible light active bismuth chromate/curcuma longa heterostructure for enhancing photocatalytic activity Subject The topic of the resource Curcuma Longa; Heterojunction; Photocatalyst; Wastewater treatment Description An account of the resource Bismuth chromate nanostructures were fabricated via hydrolysis technique using curcuma longa for enhancing the photocatalytic activity. The analytes have been labelled as Bi2CrO6-C, when prepared without using curcuma longa and Bi2CrO6-G, prepared using curcuma longa extract (Bi2CrO6/Curcuma longa). The as-fabricated catalysts have been confirmed via characterization techniques including X-ray diffraction, Transmission electron microscopy (TEM), and Field emission scanning electron microscopy (FESEM), UVVis. DRS. The as-synthesised analytes have been evaluated their photocatalytic efficiency via photodegradation of an organic pollutant, Methyl Orange (MO). The current research findings imposed the effect of inculcation of a green extract curcuma longa reduces particle size and increases surface area of the material and moreover makes heterostructure with Bismuth chromate and inhibits recombination of photogenerated charges for efficient degradation of the organic pollutant. Bi2CrO6-G demonstrates here enhanced photocatalytic activity as compared to Bi2CrO6-C. Akadiai Kiad Budapest, Hungary 2024. Creator An entity primarily responsible for making the resource Arora I.; Garg S.; Chawla H.; Sapi A.; Ingole P.P.; Hegde G.; Sagadeven S.; Chandra A. Source A related resource from which the described resource is derived Reaction Kinetics, Mechanisms and Catalysis, Vol-137, No. 6, pp. 2919-2931. 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 2024-01-01 Identifier An unambiguous reference to the resource within a given context <a href="https://doi.org/10.1007/s11144-024-02733-8" target="_blank" rel="noreferrer noopener">https://doi.org/10.1007/s11144-024-02733-8</a> <a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85205559976&doi=10.1007%2Fs11144-024-02733-8&partnerID=40&md5=4e37fc01e16a0d232dd28e7543eeb97c" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85205559976&doi=10.1007%2fs11144-024-02733-8&partnerID=40&md5=4e37fc01e16a0d232dd28e7543eeb97c</a> Rights Information about rights held in and over the resource Restricted Access Relation A related resource ISSN: 18785190 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 Arora I., Department of Chemistry, Amity Institute of Applied Sciences, Amity University, Sector-125, Uttar Pradesh, Noida, 201313, India; Garg S., Department of Chemistry, Amity Institute of Applied Sciences, Amity University, Sector-125, Uttar Pradesh, Noida, 201313, India; Chawla H., Department of Chemistry, Amity Institute of Applied Sciences, Amity University, Sector-125, Uttar Pradesh, Noida, 201313, India; Sapi A., Department of Applied and Environmental Chemistry, University of Szeged, Rerrich Ba T 1, Szeged, 6720, Hungary; Ingole P.P., Department of Chemistry, Indian Institute of Technology Delhi, Hauz Khas, New Delhi, 110016, India; Hegde G., Department of Chemistry and Centre for Advanced Research and Development (CARD), CHRIST (Deemed to Be University), Karnataka, Bengaluru, 560029, India; Sagadeven S., Nanotechnology & amp; Catalysis Research Centre, University of Malaya, Kuala Lumpur, 50603, Malaysia; Chandra A., School of Pharmacy, Sharda University, Uttar Pradesh, Greater Noida, 201310, 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 Diabetes mellitus prediction using machine learning within the scope of a generic framework Subject The topic of the resource Chronic diseases; Classification; Diabetes; Machine learning; Predictive modelling Description An account of the resource Artificial intelligence (AI) based automated disease prediction has recently taken a significant place in the field of health informatics. However, due to unavailability of real time large scale medical data, the dynamic learning of prediction models remains principally subsided. This paper, therefore proposes a dynamic predictive modelling framework for chronic diseases prediction in real-time. The framework premise suggests creation of a centralized patient-indexed medical database to dynamically train machine learning (ML) models and predict risk levels of chronic diseases in real time. In this study, comprehensive empirical evaluations to train seven state-of-the-art ML models for diabetes risk prediction are performed in context of phase 2 of the suggested framework. The selected optimal model can then be dynamically applied to predict diabetes in phase 3 of the framework. Various metrics such as accuracy, precision, Recall, F1-score and receiver operating characteristic (ROC) curve are employed for evaluating performances of the trained models. Parameter tunings using different type of kernels, different number of neighbors and estimators are rigorously performed in order to create a suggestive literature for healthcare prediction ecosystem. Comparative analysis indicates high prediction accuracies on diabetes test data records for neural network and support vector machine (SVM) models as compared to other applied models. 2023 Institute of Advanced Engineering and Science. All rights reserved. Creator An entity primarily responsible for making the resource Arora N.; Srivastava S.; Agarwal R.; Mehndiratta V.; Tripathi A. Source A related resource from which the described resource is derived Indonesian Journal of Electrical Engineering and Computer Science, Vol-32, No. 3, pp. 1724-1735. Publisher An entity responsible for making the resource available Institute of Advanced Engineering and Science 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/10.11591/IJEECS.V32.I3.PP1724-1735" target="_blank" rel="noreferrer noopener">https://doi.org/10.11591/IJEECS.V32.I3.PP1724-1735</a> <a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85177867818&doi=10.11591%2FIJEECS.V32.I3.PP1724-1735&partnerID=40&md5=bf02de101902fe8c482e5f5ac4c40e7a" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85177867818&doi=10.11591%2fIJEECS.V32.I3.PP1724-1735&partnerID=40&md5=bf02de101902fe8c482e5f5ac4c40e7a</a> Rights Information about rights held in and over the resource All Open Access; Gold Open Access Relation A related resource ISSN: 25024752 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 Arora N., Department of Computer Science, Kalindi College, University of Delhi, Delhi, India; Srivastava S., School of Sciences, Christ (Deemed to be University), Delhi NCR, Ghaziabad, India; Agarwal R., Department of Information Technology, Raj Kumar Goel Institute of Technology, Ghaziabad, India; Mehndiratta V., School of Sciences, Christ (Deemed to be University), Delhi NCR, Ghaziabad, India; Tripathi A., Department of Data Science and Engineering, Manipal University Jaipur, Jaipur, India Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Articles Article Faculty Publications -Articles Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource An enhanced predictive modelling framework for highly accurate non-alcoholic fatty liver disease forecasting Subject The topic of the resource Chronic diseases; Class imbalance Classification; NAFLD; Predictive modelling; SMOTE Description An account of the resource Non-alcoholic fatty liver disease (NAFLD) is a chronic medical ailment characterized by accumulation of excessive fat in the liver of non-alcoholic patients. In absence of any early visible indications, application of machine learning based predictive techniques for early prediction of NAFLD are quite beneficial. The objective of this paper is to present a complete framework for guided development of varied predictive machine learning models and predict NAFLD disease with high accuracy. The framework employs stepby-step data quality enhancement to medical data such as cleaning, normalization, data upscaling using SMOTE (for handling class imbalances) and correlation analysis-based feature selection to predict NAFLD with high accuracy using only clinically recorded identifiers. Comprehensive comparative analysis of prediction results of seven machine learning predictive models is done using unprocessed as well as quality enhanced data. As per the observed results, XGBoost, random forest and neural network machine learning models reported significantly higher accuracies with improved AUC and ROC values using preprocessed data in contrast to unprocessed data. The prediction results are also assessed on various quality metrics such as accuracy, f1-score, precision, and recall significantly support the need for presented methodologies for qualitative NAFLD prediction modelling. 2025 Institute of Advanced Engineering and Science. All rights reserved. Creator An entity primarily responsible for making the resource Arora N.; Srivastava S.; Tripathi A.; Gupta V. Source A related resource from which the described resource is derived Indonesian Journal of Electrical Engineering and Computer Science, Vol-37, No. 1, pp. 214-222. Publisher An entity responsible for making the resource available Institute of Advanced Engineering and Science Date A point or period of time associated with an event in the lifecycle of the resource 2025-01-01 Identifier An unambiguous reference to the resource within a given context <a href="https://doi.org/10.11591/ijeecs.v37.i1.pp214-222" target="_blank" rel="noreferrer noopener">https://doi.org/10.11591/ijeecs.v37.i1.pp214-222</a> <a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85208103725&doi=10.11591%2Fijeecs.v37.i1.pp214-222&partnerID=40&md5=a84dd07cd6cbc135d7799a85e5a88d1e" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85208103725&doi=10.11591%2fijeecs.v37.i1.pp214-222&partnerID=40&md5=a84dd07cd6cbc135d7799a85e5a88d1e</a> Rights Information about rights held in and over the resource Restricted Access Relation A related resource ISSN: 25024752 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 Arora N., Department of Computer Science, Kalindi College, University of Delhi, Delhi, India; Srivastava S., School of Sciences, Christ University, Bengaluru, India; Tripathi A., Department of Data Science and Engineering, Manipal University Jaipur, Jaipur, India; Gupta V., School of Sciences, 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 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 Beyond boundaries: Role of artificial intelligence and ChatGPT in transforming higher education Description An account of the resource The goal of the proposed chapter is to give readers a thorough understanding of the complex effects of ChatGPT on higher education. It will cover the short-and long-term benefits that ChatGPT offers, as well as limitations that may affect both educators and learners. The chapter will also highlight a wide range of ethical issues and challenges that arise while using ChatGPT. Research in this area is very limited and the literature review reveals that there are benefits as well as limitations of using ChatGPT in the domain of higher education but the fact is that it is going to grow further which makes it an urgent need for the policymakers and stakeholders to explore and understand how ChatGPT should be integrated into higher education to deliver more value to the educators and learners. The proposed chapter will cover the evolution of ChatGPT, its growing popularity and impact, benefits it offers, the associated disadvantages and the road ahead. 2024, IGI Global. Creator An entity primarily responsible for making the resource Arora S. Source A related resource from which the described resource is derived Applications, Challenges, and the Future of ChatGPT, pp. 156-172. 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/10.4018/979-8-3693-6824-4.ch008" target="_blank" rel="noreferrer noopener">https://doi.org/10.4018/979-8-3693-6824-4.ch008</a> <a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85196897926&doi=10.4018%2F979-8-3693-6824-4.ch008&partnerID=40&md5=7d89434c8f26f86993b2dfab5fdc33ae" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85196897926&doi=10.4018%2f979-8-3693-6824-4.ch008&partnerID=40&md5=7d89434c8f26f86993b2dfab5fdc33ae</a> Rights Information about rights held in and over the resource Restricted Access Relation A related resource ISBN: 979-836936826-8; 979-836936824-4 Format The file format, physical medium, or dimensions of the resource Online Language A language of the resource English Type The nature or genre of the resource Book chapter Coverage The spatial or temporal topic of the resource, the spatial applicability of the resource, or the jurisdiction under which the resource is relevant Arora S., Christ University, India Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource 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 Predicting a Rise in Employee Attrition Rates Through the Utilization of People Analytics Subject The topic of the resource Artificial Intelligence; HR Analytics; Machine learning; Supervised learning Description An account of the resource Modern organizations have a multitude of technological tools at their disposal to augment decision-making processes, with artificial intelligence (AI) standing out as a pivotal and extensively embraced technology. Its application spans various domains, including business strategies, organizational management, and human resources. There's a growing emphasis on the significance of talent capital within companies, and the rapid evolution of AI has significantly reshaped the business landscape. The integration of AI into HR functions has notably streamlined the analysis, prediction, and diagnosis of organizational issues, enabling more informed decision-making concerning employees. This study primarily aims to explore the factors influencing employee attrition. It seeks to pinpoint the key contributors to an employee's decision to quit an organization and develop a futuristic data driven model to forecast the possibility of an employee leaving the organization. The study involves training a model using an employee turnover dataset from IBM analytics, including a total of thirty-five features and approximately one thousand and five hundred samples. Post-training, the model's performance is assessed using classical metrics. The Gaussian Nae Bayes classifier emerged as the algorithm delivering the most accurate results for the specified dataset. It notably achieved the best recall (0.54) indicating its ability to correctly identify positive observations and maintained false negative of merely 4.5%. 2023 IEEE. Creator An entity primarily responsible for making the resource Arora S.; Kr Jha A.; Upadhyay S. Source A related resource from which the described resource is derived Proceedings of the 2023 12th International Conference on System Modeling and Advancement in Research Trends, SMART 2023, pp. 349-355. 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/SMART59791.2023.10428268" target="_blank" rel="noreferrer noopener">https://doi.org/10.1109/SMART59791.2023.10428268</a> <a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85186744709&doi=10.1109%2FSMART59791.2023.10428268&partnerID=40&md5=79cdd8da3f55e43738fa0b9c28bb7501" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85186744709&doi=10.1109%2fSMART59791.2023.10428268&partnerID=40&md5=79cdd8da3f55e43738fa0b9c28bb7501</a> Rights Information about rights held in and over the resource Restricted Access Relation A related resource ISBN: 979-835036986-1 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 Arora S., School of Business & Management, Christ University, Ghaziabad, India; Kr Jha A., Institute of Technology and Science, Department of Management, Ghaziabad, India; Upadhyay S., Banasthali Vidyapeeth, Department of Computer Science, Rajasthan, 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 Artificial Intelligence in Disaster Management: A Survey Subject The topic of the resource Disaster management; Disaster mitigation; Disaster preparedness; Disaster recovery; Disaster response; Machine learning Description An account of the resource This paper provides a literature review of cutting-edge artificial intelligence-based methods for disaster management. Most governments are worried about disasters, which, in general, are unbelievable events. Researchers tried to deploy numerous artificial intelligence (AI)-based approaches to eliminate disaster management at different stages. Machine learning (ML) and deep learning (DL) algorithms can manage large and complex datasets emerging intrinsically in disaster management circumstances and are incredibly well suited for crucial tasks such as identifying essential features and classification. The study of existing literature in this paper is related to disaster management, and further, it collects recent development in nature-inspired algorithms (NIA) and their applications in disaster management. 2023, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. Creator An entity primarily responsible for making the resource Arora S.; Kumar S.; Kumar S. Source A related resource from which the described resource is derived Lecture Notes in Networks and Systems, Vol-552, pp. 793-805. Publisher An entity responsible for making the resource available Springer Science and Business Media Deutschland GmbH Date A point or period of time associated with an event in the lifecycle of the resource 2023-01-01 Identifier An unambiguous reference to the resource within a given context <a href="https://doi.org/10.1007/978-981-19-6634-7_56" target="_blank" rel="noreferrer noopener">https://doi.org/10.1007/978-981-19-6634-7_56</a> <a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85149974082&doi=10.1007%2F978-981-19-6634-7_56&partnerID=40&md5=586c99be7c9aa9c5349f59fb3e46bbbf" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85149974082&doi=10.1007%2f978-981-19-6634-7_56&partnerID=40&md5=586c99be7c9aa9c5349f59fb3e46bbbf</a> Rights Information about rights held in and over the resource Restricted Access Relation A related resource ISSN: 23673370; ISBN: 978-981196633-0 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 Arora S., Department of Computer Science and Engineering, Amity School of Engineering and Technology, Amity University Rajasthan, Rajasthan, Jaipur, 303002, India; Kumar S., Department of Computer Science and Engineering, Amity School of Engineering and Technology, Amity University Rajasthan, Rajasthan, Jaipur, 303002, India; Kumar S., Department of Computer Science and Engineering, CHRIST (Deemed to be University), Karnataka, Bangalore, 560074, India Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource 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 HR Analytics: An Indispensable Tool for Effective Talent Management Subject The topic of the resource Attrition; HR Analytics; HR metrics; Machine learning; Supervised learning; Talent management Description An account of the resource Business organizations have changed tremendously in the way they visualize the human capital of the organization and make all efforts to create a workforce that is productively engaged and is ready to embrace the challenges posed by uncertainty and turbulence in the business environment. This calls for a decision-making approach that is based on observed people behaviours rather than relying on intuition and gut feel. These observed behaviours are reactions or consequences to stimuli and therefore the science of Human Resource Management can be better understood as predicting these dependent variables based on a set of independent variables. This chapter attempts to present a complete framework of HR analytics in terms of concept, need and how it can add immense value to effective talent management in the organizations. The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2024. Creator An entity primarily responsible for making the resource Arora S.; Upadhyay S. Source A related resource from which the described resource is derived Data-Driven Decision Making, pp. 231-254. Publisher An entity responsible for making the resource available Springer Nature 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/10.1007/978-981-97-2902-9_11" target="_blank" rel="noreferrer noopener">https://doi.org/10.1007/978-981-97-2902-9_11</a> <a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85215924903&doi=10.1007%2F978-981-97-2902-9_11&partnerID=40&md5=9f8beb11a768b91b1c54acf4083d2bf7" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85215924903&doi=10.1007%2f978-981-97-2902-9_11&partnerID=40&md5=9f8beb11a768b91b1c54acf4083d2bf7</a> Rights Information about rights held in and over the resource Restricted Access Relation A related resource ISBN: 978-981972902-9; 978-981972901-2 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 Arora S., Christ University, Ghaziabad, India, I.T.S School of Management, Ghaziabad, India; Upadhyay S., Christ University, 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 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 Discrimination between scheduled and non-scheduled groups in access to basic services in urban India Subject The topic of the resource access; basic services; discrimination; inequality; urban Description An account of the resource Access to basic services such as water, sanitation, and electricity is a key determinant of an individuals well-being. Nevertheless, access to these services is unequally distributed among different social groups in many countries. India is no exception, with the scheduled castes (SC) and scheduled tribes (ST) being one of the countrys most marginalised and disadvantaged groups. This paper analyses the disparities in access to basic services between scheduled and non-scheduled households, investigates the factors contributing to the unequal access, and suggests policy recommendations. Using data from the National Sample Survey 76th Round, we analyse the access to basic services such as durable housing, improved water and sanitation, and access to electricity. The papers objectives are (a) to investigate the factors impacting the quality of basic service delivery in urban India separately for scheduled and non-scheduled households and (b) to quantify the discrimination between scheduled and non-scheduled households in urban India concerning access to quality of basic services through computing a comprehensive index and by using the Fairlie decomposition approach. The analysis corroborates the finding that systemic discrimination exists between scheduled and non-scheduled households in urban India regarding access to good quality basic services up to an extent of 24%. 2024 The Authors. Creator An entity primarily responsible for making the resource Arora T.; Choudhary P.K. Source A related resource from which the described resource is derived Journal of Water Sanitation and Hygiene for Development, Vol-14, No. 3, pp. 161-172. Publisher An entity responsible for making the resource available IWA Publishing Date A point or period of time associated with an event in the lifecycle of the resource 2024-01-01 Identifier An unambiguous reference to the resource within a given context <a href="https://doi.org/10.2166/washdev.2024.138" target="_blank" rel="noreferrer noopener">https://doi.org/10.2166/washdev.2024.138</a> <a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85190286077&doi=10.2166%2Fwashdev.2024.138&partnerID=40&md5=535d07b9f20a144fe8e768313be03b94" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85190286077&doi=10.2166%2fwashdev.2024.138&partnerID=40&md5=535d07b9f20a144fe8e768313be03b94</a> Rights Information about rights held in and over the resource All Open Access; Gold Open Access Relation A related resource ISSN: 20439083 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 Arora T., Department of Professional Studies, CHRIST (Deemed to be University), Bangalore, India; Choudhary P.K., Department of Public Policy, Manipal Academy of Higher Education, Manipal, 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 Sampling and Categorization of Households for Research in Urban India Subject The topic of the resource governance; methodology; Sampling; sampling frame; urban Description An account of the resource Conventional sampling methodologies for citizens/households in urban research in India are constrained due to the lack of readily available, reliable sampling frames. Voter lists, for example, are riddled with errors and, as such may not be able to provide a robust sampling frame from which a representative sample can be drawn. The JanaBrown Citizenship Index project consortium (Janaagraha, India; Brown University, USA) has conceptualized a unique research design that provides an alternative way on how to identify, categorize and sample households (and citizens within) in a city in a representative and meaningful way. The consortium consists of the Janaagraha Centre for Citizenship and Democracy, based in India, and the Brown Center for Contemporary South Asia, part of Brown University, USA. The methodology was designed to enable systematic data collection from citizens and households on aspects of citizenship, infrastructure and service delivery across different demographic sections of society. The article describes how (a) data on communities that are in the minority, such as Muslims, scheduled castes (SC) and scheduled tribes (ST), were used to categorize Polling Parts to allow for stratified random sampling using these strata, (b) geospatial tools such as QGIS and Google Earth were used to create base maps aligning to the established Polling Part unit, (c) the resulting maps were used to create listings of buildings, (d) how housing type categorizations were created (based on the structure/construction material/amenities, etc.) and comprised part of the building listing process, and (e) how the listings were used for sampling and to create population weights where necessary. This article describes these methodological approaches in the context of the project while highlighting advantages and challenges in application to urban research in India more generally. 2022 Lokniti, Centre For The Study Of Developing Societies. Creator An entity primarily responsible for making the resource Arora T.; Pyle K. Source A related resource from which the described resource is derived Studies in Indian Politics, Vol-10, No. 2, pp. 254-274. Publisher An entity responsible for making the resource available SAGE Publications Ltd Date A point or period of time associated with an event in the lifecycle of the resource 2022-01-01 Identifier An unambiguous reference to the resource within a given context <a href="https://doi.org/10.1177/23210230221137633" target="_blank" rel="noreferrer noopener">https://doi.org/10.1177/23210230221137633</a> <a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85143751013&doi=10.1177%2F23210230221137633&partnerID=40&md5=26341fba8f2654c12f8b661018e687c2" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85143751013&doi=10.1177%2f23210230221137633&partnerID=40&md5=26341fba8f2654c12f8b661018e687c2</a> Rights Information about rights held in and over the resource Restricted Access Relation A related resource ISSN: 23210230 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 Arora T., Christ (Deemed to be University), Karnataka, Bengaluru, India; Pyle K., Janaagraha Centre for Citizenship and Democracy, 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 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 Revolutionizing Arrhythmia Classification: Unleashing the Power of Machine Learning and Data Amplification for Precision Healthcare Subject The topic of the resource Arrhythmia Classification; Diagnostic Accuracy; Electrocardiogram (ECG) Signals; Healthcare Analytics; Machine Learning Models; Principal Component Analysis (PCA); Random Oversampling Description An account of the resource This paper presents a comprehensive exploration of arrhythmia classification using machine learning techniques applied to electrocardiogram (ECG) signals. The study delves into the development and evaluation of diverse models, including K-Nearest Neighbors, Logistic Regression, Decision Tree Classifier, Linear and Kernelized Support Vector Machines, and Random Forest. The models undergo rigorous analysis, emphasizing precision and recall due to the categorical nature of the dependent variable. To enhance model robustness and address class imbalances, Principal Component Analysis (PCA) and Random Oversampling are employed. The results highlight the effectiveness of the Kernelized SVM with PCA, achieving a remarkable accuracy of 99.52%. Additionally, the paper discusses the positive impact of feature reduction and oversampling on model performance. The study concludes with insights into the significance of PCA and Random Oversampling in refining arrhythmia classification models, offering potential avenues for future research in healthcare analytics. 2024 IEEE. Creator An entity primarily responsible for making the resource Arpan; Singh M.; Garg P.; Srivastava S.; Saggu A.K. Source A related resource from which the described resource is derived Proceedings - 2024 6th International Conference on Computational Intelligence and Communication Technologies, CCICT 2024, pp. 516-522. 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/CCICT62777.2024.00086" target="_blank" rel="noreferrer noopener">https://doi.org/10.1109/CCICT62777.2024.00086</a> <a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85199920068&doi=10.1109%2FCCICT62777.2024.00086&partnerID=40&md5=6b099fe0082abb54acab81aeb0634aa7" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85199920068&doi=10.1109%2fCCICT62777.2024.00086&partnerID=40&md5=6b099fe0082abb54acab81aeb0634aa7</a> Rights Information about rights held in and over the resource Restricted Access Relation A related resource ISBN: 979-835037462-9 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 Arpan, School of Sciences, Christ Deemed to be university, Delhi NCR, India; Singh M., School of Sciences, Christ Deemed to be university, Delhi NCR, India; Garg P., SAITM, Delhi NCR, Gurgoan, India; Srivastava S., School of Sciences, Christ Deemed to be university, Delhi NCR, India; Saggu A.K., School of Sciences, Christ Deemed to be university, Delhi NCR, 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 Transforming Industry 5.0: Real Time Monitoring and Decision Making with IIOT Description An account of the resource This chapter explores the transformative potential of Industry 5.0 by leveraging real-time monitoring and decision-making capabilities through the use of IIoT dashboards. It extends in examining how IIoT dashboards enable organizations to gain real-time insights into their operations, facilitating data-driven decision-making and improving overall efficiency. By embracing IIoT dashboards, businesses can effectively transform Industry 5.0, unlocking new levels of productivity, agility, and competitiveness. In this chapter, important challenges such as data integration, data security, scalability, and user experience are identified. It highlights key considerations for implementing IIoT dashboards and offers practical methods for successful adoption of this technology. Remarkable achievements in implementing this technology include applications such as crude oil production with IIoT and edge computing, as well as IIoT-enabled smart agriculture dashboards. Adopting IIoT dashboards may involve initial costs, but they offer long-term benefits and cost-effectiveness, particularly in the era of Industry 5.0 transformation. 2024 selection and editorial matter, C Kishor Kumar Reddy, P R Anisha, Samiya Khan, Marlia Mohd Hanafiah, Lavanya Pamulaparty and R Madana Mohana. Creator An entity primarily responsible for making the resource Arputharaj J.V.; Pal S.K. Source A related resource from which the described resource is derived Sustainability in Industry 5.0: Theory and Applications, pp. 76-106. Publisher An entity responsible for making the resource available CRC Press Date A point or period of time associated with an event in the lifecycle of the resource 2024-01-01 Identifier An unambiguous reference to the resource within a given context <a href="https://doi.org/10.1201/9781032686363-5" target="_blank" rel="noreferrer noopener">https://doi.org/10.1201/9781032686363-5</a> <a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85184561379&doi=10.1201%2F9781032686363-5&partnerID=40&md5=0d461d2f0a72a1f4fc0ca162f9a6e8d6" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85184561379&doi=10.1201%2f9781032686363-5&partnerID=40&md5=0d461d2f0a72a1f4fc0ca162f9a6e8d6</a> Rights Information about rights held in and over the resource Restricted Access Relation A related resource ISBN: 978-100384516-4; 978-103258201-6 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 Arputharaj J.V., Department of Computer Science, CHRIST (Deemed to be University), Bangalore, India; Pal S.K., Department of Biological Sciences, Skyline University, Kano, Nigeria 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 Review and Design of Integrated Dashboard Model for Performance Measurements Subject The topic of the resource Analytic hierarchy process (AHP); Balanced scorecard (BSC); Objective matrix (OM); Performance management; Performance measurement Description An account of the resource This article presents a new approach for performance measurement in organizations, integrating the analytic hierarchy process (AHP) and objective matrix (OM) with the balanced scorecard (BSC) dashboard model. This comprehensive framework prioritizes strategic objectives, establishes performance measures, and provides visual representations of progress over time. A case study illustrates the methods effectiveness, offering a holistic view of organizational performance. The article contributes significantly to performance measurement and management, providing a practical and comprehensive assessment framework. Additionally, the project focuses on creating an intuitive dashboard for Fursa Foods Ltd. Using IoT technology, it delivers real-time insights into environmental variables affecting rice processing. The dashboard allows data storage, graphical representations, and other visualizations using Python, enhancing production oversight for the company. The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2024. Creator An entity primarily responsible for making the resource Arputharaj J.V.; Yakub M.E.; Haruna A.A.; Senthil Kumar A. Source A related resource from which the described resource is derived Lecture Notes in Networks and Systems, Vol-840, pp. 1-10. 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/10.1007/978-981-99-8451-0_1" target="_blank" rel="noreferrer noopener">https://doi.org/10.1007/978-981-99-8451-0_1</a> <a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85187639980&doi=10.1007%2F978-981-99-8451-0_1&partnerID=40&md5=3ae65f25755af4e68ffef8e62eb6d5d9" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85187639980&doi=10.1007%2f978-981-99-8451-0_1&partnerID=40&md5=3ae65f25755af4e68ffef8e62eb6d5d9</a> Rights Information about rights held in and over the resource Restricted Access Relation A related resource ISSN: 23673370; ISBN: 978-981998450-3 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 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 Arputharaj J.V., Department of Computer Science, CHRIST (Deemed to be University), Bangalore, India; Yakub M.E., Department of Computer Science, Skyline University Nigeria, Kano, Nigeria; Haruna A.A., Department of Computer Science, University of Hafr Al Batin, Hafr Al Batin, Saudi Arabia; Senthil Kumar A., Department of Computer Science, Skyline University Nigeria, Kano, Nigeria Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Articles Article Faculty Publications -Articles Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource AN IOT-BASED COMPUTATIONAL INTELLIGENCE MODEL TO PERFORM GENE ANALYTICS IN PATERNITY TESTING AND COMPARISON FOR HEALTH 4.0 Subject The topic of the resource Correlation Clustering; Gene Analysis; Iot; Paternity Testing Description An account of the resource Parental comparison and parenthood testing are essential in various legal and medical scenarios. The accuracy and reliability of these tests heavily rely on the gene analysis algorithms used. However, analyzing the quality of succession data are quite challenging due to the presence of detrimental characteristics. To address this issue, we propose using machine learning-based algorithms such as clustering (Correlation-based) and Classification (Modified Naive Bayesian) to separate these characteristics from the parent-child gene array. This progression helps to identify, validate, and select tools, techniques for scrutinizing indecent sequences, leading to accurate and reliable results. In this paper, we present an IoT-based intelligence tool for parental comparison that uses a secure gene analysis algorithm. The model employs multiple sensors and devices to collect genetic data, which is then securely processed and analyzed using contemporary algorithms. The suggested model uses advanced techniques such as encryption and decryption to ensure the privacy and confidentiality of the genetic information. Our experimental consequences reveal that the proposed model is reliable, secure, and provides accurate results. The model has the potential to be used in various legal and medical contexts where the security and reliability of genetic data are critical. 2023 Little Lion Scientific. Creator An entity primarily responsible for making the resource Arputharaj V.J.; Sankar K.; Kumar A.S.; Sridevi M.; Prasad D.D. Source A related resource from which the described resource is derived Journal of Theoretical and Applied Information Technology, Vol-101, No. 14, pp. 5781-5796. Publisher An entity responsible for making the resource available Little Lion Scientific 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="" target="_blank" rel="noreferrer noopener"></a> <a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85174230991&partnerID=40&md5=c715caf93b8d8b5975d87100e585a0dc" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85174230991&partnerID=40&md5=c715caf93b8d8b5975d87100e585a0dc</a> Rights Information about rights held in and over the resource Restricted Access Relation A related resource ISSN: 19928645 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 Arputharaj V.J., Department of Computer Science, CHRIST (Deemed to Be University), India; Sankar K., Department of Computer Science and Engineering (Data Science), CVR College of Engineering, Telangana, Hyderabad, India; Kumar A.S., Department of Computer Science, Skyline University, Nigeria; Sridevi M., Department of Computer Science and Engineering, CVR College of Engineering, (V) Ibrahimpatnam (M), R R District, Telangana, Mangalpalli, 501 510, India; Prasad D.D., Department of ECE, Vishnu Institute of Technology, AP, Bhimavaram, 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 Optimized task group aggregation-based overflow handling on fog computing environment using neural computing Subject The topic of the resource ABC; Fog computing; Neural computing and ANN; Overflow handling; Resource scheduling; TGA; Virtual machines Description An account of the resource It is a non-deterministic challenge on a fog computing network to schedule resources or jobs in a manner that increases device efficacy and throughput, diminishes reply period, and maintains the system well-adjusted. Using Machine Learning as a component of neural computing, we developed an improved Task Group Aggregation (TGA) overflow handling system for fog computing environments. As a result of TGA usage in conjunction with an Artificial Neural Network (ANN), we may assess the models QoS characteristics to detect an overloaded server and then move the models data to virtual machines (VMs). Overloaded and underloaded virtual machines will be balanced according to parameters, such as CPU, memory, and bandwidth to control fog computing overflow concerns with the help of ANN and the machine learning concept. Additionally, the Artificial Bee Colony (ABC) algorithm, which is a neural computing system, is employed as an optimization technique to separate the services and users depending on their individual qualities. The response time and success rate were both enhanced using the newly proposed optimized ANN-based TGA algorithm. Compared to the present works minimal reaction time, the total improvement in average success rate is about 3.6189 percent, and Resource Scheduling Efficiency has improved by 3.9832 percent. In terms of virtual machine efficiency for resource scheduling, average success rate, average task completion success rate, and virtual machine response time are improved. The proposed TGA-based overflow handling on a fog computing domain enhances response time compared to the current approaches. Fog computing, for example, demonstrates how artificial intelligence-based systems can be made more efficient. 2021 by the authors. Licensee MDPI, Basel, Switzerland. Creator An entity primarily responsible for making the resource Arri H.S.; Khosa R.S.; Jha S.; Prashar D.; Joshi G.P.; Doo I.C. Source A related resource from which the described resource is derived Mathematics, Vol-9, No. 19 Publisher An entity responsible for making the resource available MDPI Date A point or period of time associated with an event in the lifecycle of the resource 2021-01-01 Identifier An unambiguous reference to the resource within a given context <a href="https://doi.org/10.3390/math9192522" target="_blank" rel="noreferrer noopener">https://doi.org/10.3390/math9192522</a> <a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85116607183&doi=10.3390%2Fmath9192522&partnerID=40&md5=d392508c32f799bad2ed9bb8ef9f6a09" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85116607183&doi=10.3390%2fmath9192522&partnerID=40&md5=d392508c32f799bad2ed9bb8ef9f6a09</a> Rights Information about rights held in and over the resource All Open Access; Gold Open Access Relation A related resource ISSN: 22277390 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 Arri H.S., School of Computer Science and Engineering, Lovely Professional University, Phagwara, Punjab, 144411, India; Khosa R.S., School of Computer Science and Engineering, Lovely Professional University, Phagwara, Punjab, 144411, India; Jha S., School of Computational Sciences, CHRIST (Deemed to be University), Mariam Nagar, Meerut Road, Delhi NCR, Ghaziabad, 201003, India; Prashar D., School of Computer Science and Engineering, Lovely Professional University, Phagwara, Punjab, 144411, India; Joshi G.P., Department of Computer Science and Engineering, Sejong University, Gwangjin-gu, Seoul, 05006, South Korea; Doo I.C., Artificial Intelligence Education, Hankuk University of Foreign Studies, Dongdaemun-gu, Seoul, 02450, South Korea 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 Impact of boundary conditions on Rayleigh-Bard convection: stability, heat transfer and chaos Subject The topic of the resource Chaos; Hopf-bifurcation; Lorenz-model; Rayleigh-Bard; RungeKutta Description An account of the resource The paper compares the results of Rayleigh-Bard convection problem for rigid-rigid-isothermal, rigid-free-isothermal and free-free isothermal boundaries. A minimal Fourier-Galerkin expansion yields the generalized-Lorenz-model whose scaled version is reduced to the Stuart-Landau-model using the multiscale-method. Nusselt number is estimated for both steady and unsteady regimes. Regular, chaotic, and periodic natures of the solution are studied using the Hopf-Rayleigh-number and by means of a bifurcation diagram. The linear and weakly-nonlinear-analyses reveal that the onset of regular and chaotic motions in the case of rigid-free-isothermal boundaries happens later than that of free-free isothermal boundaries but earlier than rigid-rigid-isothermal boundaries. It is shown that the scaled-Lorenz-model possesses all the features of the classical-Lorenz-model. Beyond the value of the Hopf-Rayleigh-number, we observe chaotic-motion between two consecutive spells of periodic motion. It is found that one can also have a window of periodicity for all three boundaries. 2024 Informa UK Limited, trading as Taylor & Francis Group. Creator An entity primarily responsible for making the resource Arshika N.S.; Siddheshwar P.G.; Tarannum S.; Kanchana C. Source A related resource from which the described resource is derived International Journal of Ambient Energy, Vol-45, No. 1 Publisher An entity responsible for making the resource available Taylor and Francis Ltd. Date A point or period of time associated with an event in the lifecycle of the resource 2024-01-01 Identifier An unambiguous reference to the resource within a given context <a href="https://doi.org/10.1080/01430750.2024.2304713" target="_blank" rel="noreferrer noopener">https://doi.org/10.1080/01430750.2024.2304713</a> <a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85182813601&doi=10.1080%2F01430750.2024.2304713&partnerID=40&md5=37b911c09f46b441735878025c9045bd" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85182813601&doi=10.1080%2f01430750.2024.2304713&partnerID=40&md5=37b911c09f46b441735878025c9045bd</a> Rights Information about rights held in and over the resource Restricted Access Relation A related resource ISSN: 1430750; CODEN: IJAED Format The file format, physical medium, or dimensions of the resource Online Language A language of the resource English Type The nature or genre of the resource Article Coverage The spatial or temporal topic of the resource, the spatial applicability of the resource, or the jurisdiction under which the resource is relevant Arshika N.S., Centre for Mathematical Needs, Department of Mathematics, CHRIST (Deemed to be University), Bengaluru, India; Siddheshwar P.G., Centre for Mathematical Needs, Department of Mathematics, CHRIST (Deemed to be University), Bengaluru, India; Tarannum S., Department of Professional Studies, CHRIST (Deemed to be University), Bengaluru, India; Kanchana C., Instituto de Alta Investigaci, CEDENNA, Universidad de Tarapac Arica, Chile