317 20 16488 Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Articles Article Faculty Publications -Articles Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Modeling the impact of political risk components on major macroeconomic variables Subject The topic of the resource Emerging markets; Frontier markets; Governance indicators; Macroeconomic variables; Panel data; Political risk Description An account of the resource The risks of the political conditions prevailing in an economy are found to have a significant impact on its stock market. Such political risks can distort the entire economy. This study investigated the impact of political risk on major macroeconomic variables which are the indicators of growth in any economy by considering the various components of political risk as given by World Bank's worldwide governance indicators. Using a panel data approach, it modeled the major macroeconomic variables of eleven emerging and frontier Asian economies with various components of political risk. The study found that irrespective of the inter-linkages among different macroeconomic variables, they were not affected by the same political risk components. Most importantly, it revealed that GDP did not respond to any of the political risk components, whereas the exchange rate was found to be affected by all the political risk components. The study also found that FDI, inflation, and real interest rate were affected by one or more political risk components. 2019 AESS Publications. All Rights Reserved. Creator An entity primarily responsible for making the resource Kaur S.; Krushali S.; Accamma C.G.; Cheriyan N.K. Source A related resource from which the described resource is derived Asian Economic and Financial Review, Vol-9, No. 9, pp. 1032-1042. Publisher An entity responsible for making the resource available Asian Economic and Social Society 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/10.18488/journal.aefr.2019.99.1032.1042" target="_blank" rel="noreferrer noopener">https://doi.org/10.18488/journal.aefr.2019.99.1032.1042</a> <a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85074372374&doi=10.18488%2Fjournal.aefr.2019.99.1032.1042&partnerID=40&md5=bd82fc4f3204bc0498d88cb08d559fb4" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85074372374&doi=10.18488%2fjournal.aefr.2019.99.1032.1042&partnerID=40&md5=bd82fc4f3204bc0498d88cb08d559fb4</a> Rights Information about rights held in and over the resource All Open Access; Gold Open Access Relation A related resource ISSN: 23052147 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 Kaur S., Department of Commerce, CHRIST (Deemed to Be University), Bengaluru, India; Krushali S., Department of Commerce, CHRIST (Deemed to Be University), Bengaluru, India; Accamma C.G., Department of Commerce, CHRIST (Deemed to Be University), Bengaluru, India; Cheriyan N.K., Department of Commerce, 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 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 Navigating the Future of Intelligent and Smart Manufacturing A Comprehensive Bibliometric Analysis (2012-2024) Description An account of the resource Intelligent and smart manufacturing is at the forefront of a digital revolution in the manufacturing industry. This chapter reveals how key technologies have developed and converged during the period 2012-2024 by analysing 1046 articles from the Web of Science database. Literature was compiled into ten distinct clusters: Convolutional Neural Networks (CNN), Technologies, Internet of Things (IoT), Services (Applications), Gateway, Industry 4.0, Heuristic, Cutting Force, Remote Maintenance, and Fabrication. Each cluster is measured by its degree, modularity, density, citation analysis metrics and help in predicting the impact and about their interrelations in research within these domains. Further, the major focus is on Industry 4.0 principles and the evolving research landscape that promptly helps in findings and the rapid adoption of advanced computational methods. With this analysis, the most influential authors, articles, and journals will provide insight for building collaborative networks and intelligent manufacturings intellectual structure. This study nonetheless delivers an overview of previously published research; in addition, it also illustrates trends and openings that provide a significant underpinning to support subsequent academic endeavours and their application in practice. 2025 selection and editorial matter, Alka Chaudhary, Vandana Sharma, and Ahmed Alkhayyat individual chapters, the contributors. Creator An entity primarily responsible for making the resource Kaur U.; Sharma V. Source A related resource from which the described resource is derived Intelligent Manufacturing and Industry 4.0: Impact, Trends, and Opportunities, pp. 19-41. 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/10.1201/9781032630748-2" target="_blank" rel="noreferrer noopener">https://doi.org/10.1201/9781032630748-2</a> <a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85209985465&doi=10.1201%2F9781032630748-2&partnerID=40&md5=6b5331d2676487d1796e7aec441b03b1" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85209985465&doi=10.1201%2f9781032630748-2&partnerID=40&md5=6b5331d2676487d1796e7aec441b03b1</a> Rights Information about rights held in and over the resource Restricted Access Relation A related resource ISBN: 978-104015445-8; 978-103262761-8 Format The file format, physical medium, or dimensions of the resource Online Language A language of the resource English Type The nature or genre of the resource Book chapter Coverage The spatial or temporal topic of the resource, the spatial applicability of the resource, or the jurisdiction under which the resource is relevant Kaur U., Department of Computer Science and Engineering, Akal University, Punjab, Talwandi Sabo, India; Sharma V., CHRIST (Deemed to be University), NCR, Delhi, 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 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 Kaur, Gurvinder; Chopra, Kriti Title A name given to the resource Indias cobalt quest: navigating geopolitics in the Indo-Pacific 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 Round Table;Volume;114;Issue;1;pp.94-96 Identifier An unambiguous reference to the resource within a given context <a href="https://doi.org/10.1080/00358533.2025.2455755" target="_blank" rel="noreferrer noopener">https://doi.org/10.1080/00358533.2025.2455755</a> <a href="https://www.scopus.com/pages/publications/105000653576?origin=resultslist" target="_blank" rel="noreferrer noopener">https://www.scopus.com/pages/publications/105000653576?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 Kaur G., Department of International Studies, Political Science and History, CHRIST (Deemed to be University), Bengaluru, India; Chopra K., Department of International Studies, Political Science and History, CHRIST (Deemed to be University), Bengaluru, India Publisher An entity responsible for making the resource available Routledge Relation A related resource ISSN: 358533; Language A language of the resource English Type The nature or genre of the resource Notes Rights Information about rights held in and over the resource Restricted Access; Hardcopy may be available in the library Format The file format, physical medium, or dimensions of the resource online Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Faculty Publications Book Chapter Faculty Publications- Book Chapter Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Creator An entity primarily responsible for making the resource Kaur, Harpreet; Srivastava, Surbhi; Singh, Shanu Title A name given to the resource CBDCs in a High-Evasion Economy: Seigniorage, Tax Collection, and Institutional Tensions 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 Policy Implications on International Financial Economics and Banking;pp.237-264 Identifier An unambiguous reference to the resource within a given context <a href="https://doi.org/10.4018/979-8-3373-3725-8.ch008" target="_blank" rel="noreferrer noopener">https://doi.org/10.4018/979-8-3373-3725-8.ch008</a> <a href="https://www.scopus.com/pages/publications/105024636164?origin=resultslist" target="_blank" rel="noreferrer noopener">https://www.scopus.com/pages/publications/105024636164?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 Kaur H., Christ University, India; Srivastava S., Christ University, India; Singh S., Christ University, Delhi, India Description An account of the resource This chapter investigates the welfare implications of introducing Central Bank Digital Currency (CBDC) in an economy with tax evasion and varying degrees of central bank independence (CBI). The model considers scenarios with and without central bank independence, where the fiscal authority finances its expenditure through sales tax and/or seigniorage revenue from the central bank. The model analyses the equilibrium conditions for the coexistence of cash and CBDC, and it depends on the degree of CBI. 2026 by IGI Global Scientific Publishing. All rights reserved. Publisher An entity responsible for making the resource available IGI Global Relation A related resource ISBN: 979-833733727-2; 979-833733725-8; Language A language of the resource English Type The nature or genre of the resource Book chapter Rights Information about rights held in and over the resource Restricted Access; Hardcopy may be available in the library Format The file format, physical medium, or dimensions of the resource online Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Faculty Publications Book Chapter Faculty Publications- Book Chapter Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Creator An entity primarily responsible for making the resource Kaur, Jasmine; Thapliyal, Shivani Title A name given to the resource Environmental integration in supply chains: Collaborative strategies for energy efficiency and waste reduction 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 Multi-Stakeholder Collaboration for Sustainable Supply Chain;pp.117-152 Identifier An unambiguous reference to the resource within a given context <a href="https://doi.org/10.4018/979-8-3693-8925-6.ch006" target="_blank" rel="noreferrer noopener">https://doi.org/10.4018/979-8-3693-8925-6.ch006</a> <a href="https://www.scopus.com/pages/publications/105008602547?origin=resultslist" target="_blank" rel="noreferrer noopener">https://www.scopus.com/pages/publications/105008602547?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 Kaur J., Christ University, India; Thapliyal S., Christ University, India Description An account of the resource The chapter looks at why producers, transporters and distributors work with both government and nonprofit institutions to fix environmental problems in their operations. Stakeholders who work together achieve energy savings through resource efficiency and maintain water resources in a sustainable manner. This chapter examines practical strategies like renewable energy adoption and energy efficiency upgrades plus reverse supply chains and circular systems. It shows how several groups must work together to manage their environmental efforts to reach common targets. A combination of joint target setting, open discussion sharing and Collaborative Planning Forecasting Replenishment (CPFR) is spotlighted. Governments and NGOs work together to create supportive laws plus offer money benefits with help businesses to join forces. This section shows how small and medium- sized enterprises can solve financial hurdles through collective investments and green financing. Through real- world examples and practical methods, the chapter creates a way to combine sustainability with supply chains 2025, IGI Global Scientific Publishing. All rights reserved. Publisher An entity responsible for making the resource available IGI Global Relation A related resource ISBN: 979-836938927-0; 979-836938925-6; Language A language of the resource English Type The nature or genre of the resource Book chapter Rights Information about rights held in and over the resource Restricted Access; Hardcopy may be available in the library Format The file format, physical medium, or dimensions of the resource online Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Faculty Publications 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 Kaur, Manpreet; Gandhi, Parul; Upreti, Kamal Title A name given to the resource Clinical Pattern Mining for Early Detection of Chronic Kidney Disease: A Data-Driven Diagnostic Framework 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 Proceedings of the 2026 International Conference on AI-Driven Smart Systems and Ubiquitous Computing, ICAUC 2026;pp.898-903 Identifier An unambiguous reference to the resource within a given context <a href="https://doi.org/10.1109/ICAUC68182.2026.11441164" target="_blank" rel="noreferrer noopener">https://doi.org/10.1109/ICAUC68182.2026.11441164</a> <a href="https://www.scopus.com/pages/publications/105037457621?origin=resultslist" target="_blank" rel="noreferrer noopener">https://www.scopus.com/pages/publications/105037457621?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 Kaur M., Manav Rachna International Institute of Research & Studies, School of Computer Applications, Department of Computer Applications, Faridabad, India; Gandhi P., Manav Rachna International Institute of Research & Studies, School of Computer Applications, Department of Computer Applications, Faridabad, India; Upreti K., Christ University, School of Sciences, Department of Computer Science, Delhi NCR, India Description An account of the resource Early diagnosis of the Chronic Kidney Disease (CKD) is essential to avoid irreversible damage of the kidneys, but it is clear that the traditional threshold-based techniques of the diagnosis are not always able to detect a subtle pattern of biochemical changes, which indicate the early appearance of the disease. This paper provides an interpretable and data-intensive diagnostic model which incorporates clinical state transformation, frequent and contrast pattern mining, and phenotype-based clustering to reveal hidden signs of CKD progression. Continuous laboratory variables are discretized into clinically meaningful states, enabling transparent rule extraction and comparative analysis between CKD and non-CKD cohorts. The mined contrast patterns reveal distinctive early-stage abnormalities, including mild creatinine elevation, reduced urine specific gravity, albuminuria, and increased urea levels, which consistently differentiate diseased patients from healthy controls. Furthermore, K-means clustering identifies three clinically relevant renal phenotypes corresponding to early, moderate, and advanced biochemical deterioration. Sensitivity and comparative analyses demonstrate the robustness of the extracted patterns across varying support thresholds and against standard machine learning classifiers. The proposed framework offers a clinically interpretable and computationally efficient decision-support tool for early CKD detection and patient stratification using routinely collected clinical data. 2026 IEEE. Subject The topic of the resource Apriori Algorithm; chronic kidney disease (CKD); Clinical Pattern Mining; Clinical State Transformation; Contrast Pattern Analysis; Phenotype Clustering Publisher An entity responsible for making the resource available Institute of Electrical and Electronics Engineers Inc. Relation A related resource ISBN: 979-833155851-2; Language A language of the resource English Type The nature or genre of the resource Conference paper Rights Information about rights held in and over the resource Restricted Access; Hardcopy may be available in the library Format The file format, physical medium, or dimensions of the resource online Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Faculty Publications Conference Paper Faculty Publications- Conference Papers Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Creator An entity primarily responsible for making the resource Kaur, Simran; Rajesh, R.; Radhalakshmi, K.N. Title A name given to the resource Exploring Communication Authenticity Anxiety: A Data-DrivenPsychological Analysis of Al-Generated Content on StudentSelf-Perception and Expression 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 IC-DECON 2025 - 2025 International Conference on Data, Energy and Communication Network, Proceedings; Identifier An unambiguous reference to the resource within a given context <a href="https://doi.org/10.1109/DECoN67170.2025.11447813" target="_blank" rel="noreferrer noopener">https://doi.org/10.1109/DECoN67170.2025.11447813</a> <a href="https://www.scopus.com/pages/publications/105037376064?origin=resultslist" target="_blank" rel="noreferrer noopener">https://www.scopus.com/pages/publications/105037376064?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 Kaur S., CHRIST(Deemed to be University), Department of Statistics and Data Science, Bangalore, India; Rajesh R., CHRIST(Deemed to be University), Department of Statistics and Data Science, Bangalore, India; Radhalakshmi K.N., CHRIST(Deemed to be University), Department of Statistics and Data Science, Bangalore, India Description An account of the resource Generative artificial intelligence (AI) tools such as ChatGPT and Gemini are becoming more common in student communication, owing to the improvement that they offer in fluency and efficiency, but at the same time raise concerns about authenticity. Students struggle to put their authentic voice forward in the quest to enhance their work using these writing assistants. Many surveys have been conducted, which indicate widespread use of AI tools for education-related chores, yet these studies ignore the emotional effects related to this. The psychological discomfort related to authenticity in text-based communication is still not well examined and to address this gap, this study introduces a term called Communication Authenticity Anxiety and successfully examines its relationship with self-perception, academic stress, resilience, and AI dependence. Data were collected via a structured student survey and analyzed using exploratory factor analysis, regression modeling and machine learning techniques. Results show that self-perception and academic stress are the strongest predictors of authenticity anxiety, while resilience and AI dependence have weaker effects. These findings were further validated by Machine Learning models, with Random Forest achieving 75% accuracy and XGBoost achieving {9 2%}. This study, thus, successfully contributes to understanding the various psychological consequences of AI-generated content on student identity and expression, thereby providing valuable insights for crafting responsible educational policies. 2025 IEEE. Subject The topic of the resource Academic Stress; Artificial Intelligence; Communication Authenticity Anxiety; Machine Learning; Resilience; Student Self-perception Publisher An entity responsible for making the resource available Institute of Electrical and Electronics Engineers Inc. Relation A related resource ISBN: 979-833159442-8; Language A language of the resource English Type The nature or genre of the resource Conference paper Rights Information about rights held in and over the resource Restricted Access; Hardcopy may be available in the library Format The file format, physical medium, or dimensions of the resource online Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Faculty Publications Conference Paper Faculty Publications- Conference Papers Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Creator An entity primarily responsible for making the resource Kaur, Simran; Rajesh, R.; Radhalakshmi, K.N. Title A name given to the resource Exploring Communication Authenticity Anxiety: A Data-DrivenPsychological Analysis of Al-Generated Content on StudentSelf-Perception and Expression 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 IC-DECON 2025 - 2025 International Conference on Data, Energy and Communication Network, Proceedings; Identifier An unambiguous reference to the resource within a given context <a href="https://doi.org/10.1109/DECoN67170.2025.11447813" target="_blank" rel="noreferrer noopener">https://doi.org/10.1109/DECoN67170.2025.11447813</a> <a href="https://www.scopus.com/pages/publications/105037376064?origin=resultslist" target="_blank" rel="noreferrer noopener">https://www.scopus.com/pages/publications/105037376064?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 Kaur S., CHRIST(Deemed to be University), Department of Statistics and Data Science, Bangalore, India; Rajesh R., CHRIST(Deemed to be University), Department of Statistics and Data Science, Bangalore, India; Radhalakshmi K.N., CHRIST(Deemed to be University), Department of Statistics and Data Science, Bangalore, India Description An account of the resource Generative artificial intelligence (AI) tools such as ChatGPT and Gemini are becoming more common in student communication, owing to the improvement that they offer in fluency and efficiency, but at the same time raise concerns about authenticity. Students struggle to put their authentic voice forward in the quest to enhance their work using these writing assistants. Many surveys have been conducted, which indicate widespread use of AI tools for education-related chores, yet these studies ignore the emotional effects related to this. The psychological discomfort related to authenticity in text-based communication is still not well examined and to address this gap, this study introduces a term called Communication Authenticity Anxiety and successfully examines its relationship with self-perception, academic stress, resilience, and AI dependence. Data were collected via a structured student survey and analyzed using exploratory factor analysis, regression modeling and machine learning techniques. Results show that self-perception and academic stress are the strongest predictors of authenticity anxiety, while resilience and AI dependence have weaker effects. These findings were further validated by Machine Learning models, with Random Forest achieving 75% accuracy and XGBoost achieving {9 2%}. This study, thus, successfully contributes to understanding the various psychological consequences of AI-generated content on student identity and expression, thereby providing valuable insights for crafting responsible educational policies. 2025 IEEE. Subject The topic of the resource Academic Stress; Artificial Intelligence; Communication Authenticity Anxiety; Machine Learning; Resilience; Student Self-perception Publisher An entity responsible for making the resource available Institute of Electrical and Electronics Engineers Inc. Relation A related resource ISBN: 979-833159442-8; Language A language of the resource English Type The nature or genre of the resource Conference paper Rights Information about rights held in and over the resource Restricted Access; Hardcopy may be available in the library Format The file format, physical medium, or dimensions of the resource online Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Faculty Publications Book Chapter Faculty Publications- Book Chapter Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Creator An entity primarily responsible for making the resource Kaur, Upinder; Sharma, Vandana Title A name given to the resource Exploring the Blockchain-Enabled Metaverse: A Comparative Study of Leading Platforms 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 Metaverse for Sustainable Development: Trends and Applications;pp.139-169 Identifier An unambiguous reference to the resource within a given context <a href="https://doi.org/10.1002/9781394272228.ch6" target="_blank" rel="noreferrer noopener">https://doi.org/10.1002/9781394272228.ch6</a> <a href="https://www.scopus.com/pages/publications/105020123161?origin=resultslist" target="_blank" rel="noreferrer noopener">https://www.scopus.com/pages/publications/105020123161?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 Kaur U., Department of Computer Science and Engineering, Akal University Talwandi Sabo, India; Sharma S., Department of Computer Science, Christ University, Bengaluru, India Description An account of the resource The integration of metaverse and secure-based blockchain is transforming several domains, including the area of virtual employment fairs. This chapter comprehensively examined technologies and covers the areas and platform that is both immersive and secure for job searchers and recruiters. It provides a novel case study of a virtual job fair, focusing on its system architecture with metaverse and blockchain. The Decentraland platform is focused and comprises essential elements for metaverse environment and blockchain network. This will help through analyzing as well as interactions between attendees, recruiters, and system administrators the operational process, with an improved security, transparency, and user engagement. The study recognizes promising advancements, yet it accentuates important obstacles and unsolved issues, such as expansion, data protection, and portability. These concerns must be addressed in order to fully exploit the promise of the metaverse and blockchain in revolutionizing virtual interactions. 2025 Scrivener Publishing LLC. Subject The topic of the resource AR/VR and virtual employment fairs; Block-chain; decentraland; metaverse Publisher An entity responsible for making the resource available wiley Relation A related resource ISBN: 978-139427222-8; 978-139427219-8; Language A language of the resource English Type The nature or genre of the resource Book chapter Rights Information about rights held in and over the resource All Open Access; Gold Open Access Format The file format, physical medium, or dimensions of the resource online Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Articles Article Faculty Publications -Articles Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Impact of corporate governance on financial performance of information technology companies Subject The topic of the resource Corporate Governance; Financial performance; IT companies Description An account of the resource Corporate Governance is a broad term in todays competitive world. It is a series of processes, policies, rules, and regulations by which companies are managed and governed. In this perspective, the study attempts to analyze the impact of corporate governance on the financial performance of Information Technology (IT) Companies in India. Specifically, the study analyzed the impact of Board size, Board Composition, and Audit Committee Independence on Return on Assets and Return on Equity, which are considered as measures of financial performance. The findings of the study revealed that there is a significant and positive impact of Corporate Governance on Financial performance of IT companies, and Audit Committee Independence shows the most significant effect on Financial performance. The finding of the study endeavors to contribute to the limited literature available in the context of corporate governance in IT companies in India. BEIESP. Creator An entity primarily responsible for making the resource Kaura P.; Dharwal M.; Kaur H.; Kaur P. Source A related resource from which the described resource is derived International Journal of Recent Technology and Engineering, Vol-8, No. 3, pp. 7460-7464. Publisher An entity responsible for making the resource available Blue Eyes Intelligence Engineering and Sciences Publication 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/10.35940/ijrte.C5603.098319" target="_blank" rel="noreferrer noopener">https://doi.org/10.35940/ijrte.C5603.098319</a> <a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85073564091&doi=10.35940%2Fijrte.C5603.098319&partnerID=40&md5=a2818915693b950797a637eb94ae02ac" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85073564091&doi=10.35940%2fijrte.C5603.098319&partnerID=40&md5=a2818915693b950797a637eb94ae02ac</a> Rights Information about rights held in and over the resource All Open Access; Gold Open Access Relation A related resource ISSN: 22773878 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 Kaura P., Institute of Management, Christ (Deemed to be University), NCR, Dehli, India; Dharwal M., School of Business Studies, Sharda University, Greater Noida, India; Kaur H., S.S. Bhatnagar University, Institute of Chemical Engineering and Technology, Punjab University, Chandigarh, India; Kaur P., Punjabi University, Patiala, Punjab, 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 Assessing global perceptions of India: Policy implications drawn from foreign tourism narratives Subject The topic of the resource exploratory factor analysis; India; mixed method; outer perspective; tourist destination Description An account of the resource This study scrutinizes Indias growing appeal as a tourist destination, accentuated by government initiatives and innovative tourism policies like the e-visa program, Incredible India Campaign 2.0 and digital advancements in the travel sector. With the diminishing impact of COVID-19, there is a noticeable surge in various forms of tourism inbound, outbound and domestic. The primary focus is to understand the driving factors behind the choice of India as a destination for inbound tourists. This research delves into these motivations, providing a global perspective on Indias attractiveness. A mixed-method approach was employed, utilizing convenience sampling for data collection. The quantitative analysis was based on a survey, informed by a literature review, comprising 390 respondents from 10 diverse Indian destinations. Additionally, 25 qualitative interviews were conducted, aiming to enrich and triangulate the quantitative findings. Exploratory factor analysis (EFA) revealed five predominant motivations among inbound tourists: culinary interests, spiritual pursuits, budget-consciousness, cultural curiosity and natural allure. These findings were substantiated through thematic analysis. The outcomes have significant practical ramifications for destination managers and tourism policy developers in India. By understanding these key motivators, they can devise targeted strategies for enhancing the appeal of India to these specific tourist segments. This study not only aids in refining tourism promotion efforts but also contributes to the academic discourse on tourist motivation offering a fresh international perspective on Indias image as a tourist destination. by the author, licensee University of Lodz Lodz University Press, Lodz, Poland. Creator An entity primarily responsible for making the resource Kaurav R.P.S.; Kainthola S.; Baber R.; Tiwari P. Source A related resource from which the described resource is derived Turyzm/Tourism, Vol-34, No. 1, pp. 57-66. Publisher An entity responsible for making the resource available Lodz University 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/10.18778/0867-5856.34.1.05" target="_blank" rel="noreferrer noopener">https://doi.org/10.18778/0867-5856.34.1.05</a> <a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85198114510&doi=10.18778%2F0867-5856.34.1.05&partnerID=40&md5=97c5b0958974b89e7dcc02b8f4549d03" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85198114510&doi=10.18778%2f0867-5856.34.1.05&partnerID=40&md5=97c5b0958974b89e7dcc02b8f4549d03</a> Rights Information about rights held in and over the resource All Open Access; Gold Open Access; Green Open Access Relation A related resource ISSN: 8675856 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 Kaurav R.P.S., FORE School of Management, New Delhi, India; Kainthola S., Institute of Hotel Management, Catering & Nutrition PUSA, New Delhi, India; Baber R., Christ University, Bengaluru, India; Tiwari P., GLA University, Mathura, 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 Machine Learning Based Optimal Feature Selection for Pediatric Ultrasound Kidney Images Using Binary Coati Optimization Subject The topic of the resource Binary coati optimisation algorithm (BCOA); Chronic kidney disease (CKD); Feature selection (FS); Optimisation algorithm; Texture Description An account of the resource Chronic kidney disease (CKD) one of the most dangerous illnesses. Early detection is vital for improving survival rates and underscoring the need for an intelligent classifier to differentiate between normal and abnormal kidney ultrasound images. Features extracted from an image have a significant impact on classification accuracy. In this study, we present a Binary Coati optimization algorithm (BCOA) for feature selection in CKD, which focuses on reducing the high dimensionality features extracted from ultrasound images, including GLCM, GLRLM, GLSZM, GLDM, NGTDM, and first order, by employing BCOA-S shaped and BCOA-V shaped transfer functions that convert BCOA from a continuous search space to a binary form, which helps in the selection of optimal features to improve the classification performance while reducing the feature dimensionality. The reduced feature was evaluated using six machine-learning classifiers: Random Forest, Support Vector Machine, Decision tree, K-nearest Neighbor, XG-boost, and Nae Bayes. The efficiency of the proposed framework was assessed based on accuracy, precision, recall, specificity, f1 score and AUC curve. BCOA-V outperformed in terms of accuracy, precision, recall, specificity, F1 score and AUC curve by 99%,100%,97%,100%, 98%, and 98%, respectively. This makes it a superior choice for CKD diagnosis and is a valuable tool for feature selection in medical diagnosis. (2024), (Intelligent Network and Systems Society). All rights reserved. Creator An entity primarily responsible for making the resource Kausar F.; Ramamurthy B. Source A related resource from which the described resource is derived International Journal of Intelligent Engineering and Systems, Vol-17, No. 6, pp. 1300-1313. Publisher An entity responsible for making the resource available Intelligent Network and Systems 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/10.22266/ijies2024.1231.94" target="_blank" rel="noreferrer noopener">https://doi.org/10.22266/ijies2024.1231.94</a> <a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85208113146&doi=10.22266%2Fijies2024.1231.94&partnerID=40&md5=fe7d1e209b17077c8524f1e946ee92f0" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85208113146&doi=10.22266%2fijies2024.1231.94&partnerID=40&md5=fe7d1e209b17077c8524f1e946ee92f0</a> Rights Information about rights held in and over the resource Restricted Access Relation A related resource ISSN: 2185310X 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 Kausar F., Department of Computer Science, CHRIST (Deemed to be University), Bangalore, 560029, India; Ramamurthy B., Department of Computer Science, 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 Optimizing Kidney Ultrasound images through Pre-Processing Filters Subject The topic of the resource edge detection; enhancement; Filters; Kidney images; Mean Standard Error (MSE); noise; Peak-Signal-Noise-Ratio (PSNR); Pre-processing; quality; Ultrasound (US) Description An account of the resource Medical image processing and analysis have greatly advanced in the past decade, significantly contributing to the diagnosis of various diseases.However, It is crucial to address the need for effective data management in the medical field due to the significant rise in data generation and storage. It necessitates the exploration of compression methods as a means of achieving efficient data handling. Consideration should be given to image processing approaches to minimize redundancy. Ultrasound imaging has gained importance in recent years, but the presence of artifacts in ultrasound images has complicated diagnoses. An evaluation has been performed to identify appropriate Pre-processing techniques for kidney images before extracting kidney features. Observing the sensitivity and calculating the PSNR and MSE of the filtered image are used to assess the applied methods. The results indicate that the median filter is ideal for image quality enhancement, while the Sobel filter is highly effective in detecting kidney edges. 2023 IEEE. Creator An entity primarily responsible for making the resource Kausar F.; Ramamurthy B. Source A related resource from which the described resource is derived 2023 1st International Conference on Advances in Electrical, Electronics and Computational Intelligence, ICAEECI 2023 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/ICAEECI58247.2023.10370900" target="_blank" rel="noreferrer noopener">https://doi.org/10.1109/ICAEECI58247.2023.10370900</a> <a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85183531754&doi=10.1109%2FICAEECI58247.2023.10370900&partnerID=40&md5=9b10f832d53eb781d5a2eb4faeb32225" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85183531754&doi=10.1109%2fICAEECI58247.2023.10370900&partnerID=40&md5=9b10f832d53eb781d5a2eb4faeb32225</a> Rights Information about rights held in and over the resource Restricted Access Relation A related resource ISBN: 979-835034279-6 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 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 Kausar F., CHRIST (Deemed to Be University), Department of Computer Science, Bengaluru, 560029, India; Ramamurthy B., CHRIST (Deemed to Be University), Department of Computer Science, Bengaluru, 560029, India Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource 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 Transforming Pediatric Healthcare with CKD using AI: A Systematic Mapping Subject The topic of the resource Abnormalities; AI; Children; chronic kidney disease (CKD); Deep Learning; Machine Learning; Ultrasound (US) Description An account of the resource Artificial intelligence has been used on a much larger scale, from self-driving cars to biometrics. The daily lifestyle of civilization has changed dramatically due to scientific growth. AI has been pushed to a wide range of applications rather than limited to certain areas and has benefited the health industry, resulting in improved outcomes. Heuristics, support vector machines, artificial neural networks, and natural language processing are some of the AI approaches employed. Kidney diseases and treatment can be challenging, especially when working with youngsters. Children with Chronic Kidney Disease (CKD) experience a wide range of symptoms classified as either transitory or nosologic. Some of its traits influence not only during childhood but also during adulthood in the long run. This study will focus on strategies utilized to identify, predict, and categorize the impacts of pediatric kidney disorders in terms of aetiology, clinical features, and medicines that might assist children in transition to adulthood smoothly. 2023 IEEE. Creator An entity primarily responsible for making the resource Kausar F.; Ramamurthy B. Source A related resource from which the described resource is derived Proceedings of IEEE InC4 2023 - 2023 IEEE International Conference on Contemporary Computing and Communications Publisher An entity responsible for making the resource available Institute of Electrical and Electronics Engineers Inc. Date A point or period of time associated with an event in the lifecycle of the resource 2023-01-01 Identifier An unambiguous reference to the resource within a given context <a href="https://doi.org/10.1109/InC457730.2023.10263186" target="_blank" rel="noreferrer noopener">https://doi.org/10.1109/InC457730.2023.10263186</a> <a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85174736351&doi=10.1109%2FInC457730.2023.10263186&partnerID=40&md5=e9429e7a9a78d58dbb688e2629cf255b" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85174736351&doi=10.1109%2fInC457730.2023.10263186&partnerID=40&md5=e9429e7a9a78d58dbb688e2629cf255b</a> Rights Information about rights held in and over the resource Restricted Access Relation A related resource ISBN: 979-835033577-4 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 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 Kausar F., CHRIST(Deemed to Be Univeristy), Dept. Computer Science, Bangalore, India; Ramamurthy B., CHRIST(Deemed to Be Univeristy), Dept. Computer Science, Bangalore, India Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource 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 Recent trends in photocatalytic water splitting using titania based ternary photocatalysts-A review Subject The topic of the resource Hydrogen evolution reaction; Photocatalytic water splitting; Renewable energy; S-Scheme photocatalyst; TiO2 based ternary photocatalysts; Z-Scheme Description An account of the resource Hydrogen is considered as an ideal fuel, and its use has several advantages. While several methods are available for producing hydrogen, photocatalytic water splitting using semiconductor-based photocatalysts is one of the better methods. Among the various semiconductors, titania, having many desirable properties, is a widely explored photocatalyst material to fabricate ternary heterojunctions. Preventing the recombination of photoexcited charge carriers, reducing the band gap, and enhancing the migration of charges are steps needed to improve the efficiency of the photocatalysts. Various modifications have been made to the structural and chemical properties of the photocatalysts. While innovative synthetic protocols can bring about the desired changes, incorporating metal oxides and noble metals with varied morphologies into titania leads to multijunction photocatalysts. Structural modifications to titania include incorporation of various nanostructured materials, noble metal nanoparticles, transition metal chalcogenides, polymer materials, semiconductors like g-C3N4, quantum dots, etc. 2022 Hydrogen Energy Publications LLC Creator An entity primarily responsible for making the resource Kausar F.; Varghese A.; Pinheiro D.; Devi K R S. Source A related resource from which the described resource is derived International Journal of Hydrogen Energy, Vol-47, No. 53, pp. 22371-22402. Publisher An entity responsible for making the resource available Elsevier Ltd Date A point or period of time associated with an event in the lifecycle of the resource 2022-01-01 Identifier An unambiguous reference to the resource within a given context <a href="https://doi.org/10.1016/j.ijhydene.2022.05.058" target="_blank" rel="noreferrer noopener">https://doi.org/10.1016/j.ijhydene.2022.05.058</a> <a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85132209033&doi=10.1016%2Fj.ijhydene.2022.05.058&partnerID=40&md5=d718c390d4981a73eb6d2710cc8d7755" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85132209033&doi=10.1016%2fj.ijhydene.2022.05.058&partnerID=40&md5=d718c390d4981a73eb6d2710cc8d7755</a> Rights Information about rights held in and over the resource Restricted Access Relation A related resource ISSN: 3603199; CODEN: IJHED Format The file format, physical medium, or dimensions of the resource Online Language A language of the resource English Type The nature or genre of the resource 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 Kausar F., Department of Chemistry, CHRIST (Deemed to Be University), Karnataka, Bangalore, 560029, India; Varghese A., Department of Chemistry, CHRIST (Deemed to Be University), Karnataka, Bangalore, 560029, India; Pinheiro D., Department of Chemistry, CHRIST (Deemed to Be University), Karnataka, Bangalore, 560029, India; Devi K R S., Department of Chemistry, 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 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 Kausar, Fizhan; Ramamurthy, B. Title A name given to the resource Optimized Feature Selection for Kidney Ultrasound Image Classification Using Binary Coati Weighted Mean Vector Algorithm 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 Journal of Computer Science;Volume;21;Issue;12;pp.2986-3004 Identifier An unambiguous reference to the resource within a given context <a href="https://doi.org/10.3844/JCSSP.2025.2986.3004" target="_blank" rel="noreferrer noopener">https://doi.org/10.3844/JCSSP.2025.2986.3004</a> <a href="https://www.scopus.com/pages/publications/105037648798?origin=resultslist" target="_blank" rel="noreferrer noopener">https://www.scopus.com/pages/publications/105037648798?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 Kausar F., Department of Computer Science, CHRIST (Deemed to be University), Bangalore, India; Ramamurthy B., Department of Computer Science, CHRIST (Deemed to be University), Bangalore, India Description An account of the resource The analysis of medical images presents many challenges, especially when making precise diagnoses. In pediatric Chronic Kidney Disease (CKD), early identification is critical because of its gradual progression to significant kidney failure. This study proposes a diagnostic framework for pediatric ultrasound image classification that incorporated machine learning and advanced feature selection methods. This approach is divided into four stages: Preprocessing, feature extraction, feature selection, and classification. Initially, pediatric kidney ultrasound images are enhanced using gaussian median filter. Radiomics features were then extracted, including Gray Level Co-Occurrence Matrix (GLCM), Gray Level Size Zone Matrix (GLSZM), Gray Level Run Length Matrix (GLRLM), Neighboring Gray Tone Difference Matrix (NGTDM), Gray Level Dependence Matrix (GLDM), and first-order statistics. To optimize this feature space, we introduce the Binary Coati Weighted Mean Vector (BinCoWmv) optimization algorithm, which uses a customized fitness function. Herein, the selected features were evaluated using different classifiers: Random Forest (RF), Decision Tree (DT), Support Vector Machine (SVM), Nae Bayes (NB), K-Nearest Neighbor (KNN), and XG-Boost. Comparative evaluations with existing optimizers, such as the Coati Optimization Algorithm (COA), weighted average vector (INFO), Firefly Algorithm (FFA), and Harris Hawk Optimization (HHO), showed that BinCoWmv achieved a higher classification accuracy. Our framework improves diagnostic reliability and assists radiologist and nephrologist in the early detection of chronic kidney disease in children. 2025 Fizhan Kausar and Ramamurthy B. Subject The topic of the resource Coati Optimization Algorithm; Feature Selection; Kidney; Ultrasound; Weighted Mean Vector (INFO) Publisher An entity responsible for making the resource available Science Publications Relation A related resource ISSN: 15493636; Language A language of the resource English Type The nature or genre of the resource Article Rights Information about rights held in and over the resource All Open Access; Hybrid Gold Open Access Format The file format, physical medium, or dimensions of the resource online Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource 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 Kausar, Fizhan; Ramamurthy, B. Title A name given to the resource Coati Optimization Algorithm for Detecting Pediatric Kidney Abnormalities using Ultrasound Images Date A point or period of time associated with an event in the lifecycle of the resource 01-01-2025 Source A related resource from which the described resource is derived International Research Journal of Multidisciplinary Scope;Volume;6;Issue;2;pp.874-884 Identifier An unambiguous reference to the resource within a given context <a href="https://doi.org/10.47857/irjms.2025.v06i02.03236" target="_blank" rel="noreferrer noopener">https://doi.org/10.47857/irjms.2025.v06i02.03236</a> <a href="https://www.scopus.com/pages/publications/105005617086?origin=resultslist" target="_blank" rel="noreferrer noopener">https://www.scopus.com/pages/publications/105005617086?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 Kausar F., CHRIST University, Bangalore, India; Ramamurthy B., CHRIST University, Bangalore, India Description An account of the resource This study aimed to classify pediatric ultrasound images as normal or abnormal by identifying the optimal number of image texture features for analysis and developing an effective classification system using selected features. The experiment identified a successful feature selection and classification algorithm with a good performance. This study introduced a new approach for computer-assisted ultrasound image classification. Initially, a Gaussian median filter enhances the image quality and removes noise. For feature extraction, various features, including first-order derivatives, Gray Level Co-Occurrence Matrix (GLCM), Gray Level Run Length Matrix (GLRLM), Gray Level Dependence Matrix (GLDM), Gray Level Size Matrix (GLSZM), and Neighbouring gray tone difference matrix (NGTDM), were extracted using the Pyrandiomics Python package. The Coati optimization algorithm (COA) was employed as a feature selection technique. The Classification was performed using Random Forest (RF), Support Vector Machine (SVM), Decision Tree (DT), K-nearest Neighbor (KNN), Nae Bayes (NB), and Extreme Gradient Boosting (XG-Boost) algorithms. Therefore, this study proposed a new machine learning classifier, the Extreme Gradient Neighborhood classifier (XGNC), using NB, KNN, and XG-Boost, with a classification accuracy of 97.91%, which outperformed the other classifiers mentioned in the study. The results indicated that the optimal feature selection and classifier choice yielded the most accurate computer-aided diagnosis of kidney abnormalities. 2025, Iquz Galaxy Publisher. All rights reserved. Subject The topic of the resource Coati Optimization Algorithm (Coa); Extreme Gradient Neighborhood (Xgnc); Feature Selection; Kidney; Machine Learning (Ml); Ultrasound (Us) Publisher An entity responsible for making the resource available Iquz Galaxy Publisher Relation A related resource ISSN: 2582631X; Language A language of the resource English Type The nature or genre of the resource Article Rights Information about rights held in and over the resource All Open Access; Gold Open Access Format The file format, physical medium, or dimensions of the resource online Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Faculty Publications Book Chapter Faculty Publications- Book Chapter Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Creator An entity primarily responsible for making the resource Kaushal, Swati; Shrivastava, Vikalp; Neha Title A name given to the resource Punishing poverty: The economic disparity of the poor in the criminal justice system 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 Humanities and Social Sciences: A Multidisciplinary Approach;pp.781-786 Identifier An unambiguous reference to the resource within a given context <a href="https://doi.org/10.1201/9781003771937-118" target="_blank" rel="noreferrer noopener">https://doi.org/10.1201/9781003771937-118</a> <a href="https://www.scopus.com/pages/publications/105038872175?origin=resultslist" target="_blank" rel="noreferrer noopener">https://www.scopus.com/pages/publications/105038872175?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 Kaushal S., School of Law, CHRIST University (Christ (Deemed to be University), NCR, Delhi, India; Shrivastava V., School of Law, CHRIST University (Christ (Deemed to be University), NCR, Delhi, India; Neha, Amity Law School, Amity University, Noida, India Description An account of the resource Equality before law is one of the most significant features of the Indian constitution. Anyone who seeks justice must be provided with legal support without any discrimination. An accused is also assured of penalization based on the tenets of equality irrespective of his ethnicity, religion, economic, social background, etc. Poor parity has led to discriminatory approaches in awarding punishments to offenders belonging to economically marginalised sections of society. The low paying capacity of the poor offenders gives an upper edge to the rich offenders who has better paying capacity of fines or damages and suffer less severe repercussions through the justice system. This paper will conduct a comprehensive study to identify the discrepancies in the penalization process and its implications in the dispensation of justice. It will also explore the factors such as social background, ethnicity, and economic status which play an integral part in influencing the legal and sociological perspectives of the stakeholders of the justice delivery system. It will analyze the judicial trend and legislative framework to ensure equitable justice. It will conclude with suggestions and recommendations for the formulation of robust policies to ensure a just penal administration. 2026 The Author(s). Subject The topic of the resource criminal justice system; damages; discrimination; fines; poor parity Publisher An entity responsible for making the resource available CRC Press Relation A related resource ISBN: 978-100377193-7; 978-104129925-7; 978-104130185-1; Language A language of the resource English Type The nature or genre of the resource Book chapter Rights Information about rights held in and over the resource Restricted Access; Hardcopy may be available in the library Format The file format, physical medium, or dimensions of the resource online Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Conference Papers Conference Paper Faculty Publications- Conference Papers Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource The Preservative Technology in the Inventory Model for the Deteriorating Items with Weibull Deterioration Rate Subject The topic of the resource Retailers; Shortage; Weibull Description An account of the resource An EOQ model for perishable items is presented in this study. The deterioration rate is controlled by preservative technology. This technology only enhances the life of perishable items. So, retailers invested in this technology to get extra revenue. The Weibull deterioration rate is considered for the ramp type demand. Shortages consider partially backlogged, and discount is provided to loyal customers. The concavity of the profit function is discussed analytically. Numerical examples support the solution procedure; then, Sensitivity analysis is applied to accomplish the most sensitive variable. 2021, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. Creator An entity primarily responsible for making the resource Kaushik J.; Sharma A. Source A related resource from which the described resource is derived Lecture Notes in Networks and Systems, Vol-290, pp. 348-355. Publisher An entity responsible for making the resource available Springer Science and Business Media Deutschland GmbH Date A point or period of time associated with an event in the lifecycle of the resource 2021-01-01 Identifier An unambiguous reference to the resource within a given context <a href="https://doi.org/10.1007/978-981-16-4486-3_39" target="_blank" rel="noreferrer noopener">https://doi.org/10.1007/978-981-16-4486-3_39</a> <a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85115105837&doi=10.1007%2F978-981-16-4486-3_39&partnerID=40&md5=730638fa6db8db5451546048c7f65ce1" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85115105837&doi=10.1007%2f978-981-16-4486-3_39&partnerID=40&md5=730638fa6db8db5451546048c7f65ce1</a> Rights Information about rights held in and over the resource Restricted Access Relation A related resource ISSN: 23673370; ISBN: 978-981164485-6 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 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 Kaushik J., Department of Data Science, Christ University, Bangalore, India; Sharma A., School of Sciences, Christ University, Bangalore, India Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Conference Papers Conference Paper Faculty Publications- Conference Papers Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource A study of Autoregressive Model Using Time Series Analysis through Python Subject The topic of the resource ARMA; Moving Average; Time series Description An account of the resource A Time-series investigation is a simple technique for dividing information from reconsideration perceptions on a solitary unit or individual at ordinary stretches over countless perceptions. Timeseries examination can be considered to be the model of longitudinal plans. The most widely used method is focused on a class of Auto-Regressive Moving Average (ARMA) models. ARMA models could examine various examination questions, including fundamental cycle analysis, intercession analysis, and long-term therapy impact analysis. The model ID process, the meanings of essential concepts, and the factual assessment of boundaries are all depicted as specialized components of ARMA models. To explain the models, Multiunit time-series plans, multivariate time-series analysis, the consideration of variables, and the study of examples of intra-individual contrasts across time are all ongoing improvements to ARMA demonstrating techniques. [1] 2022 IEEE. Creator An entity primarily responsible for making the resource Kaushik J.; Vashisht A.V. Source A related resource from which the described resource is derived Proceedings - 2022 4th International Conference on Advances in Computing, Communication Control and Networking, ICAC3N 2022, pp. 89-94. 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/ICAC3N56670.2022.10074077" target="_blank" rel="noreferrer noopener">https://doi.org/10.1109/ICAC3N56670.2022.10074077</a> <a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85152192249&doi=10.1109%2FICAC3N56670.2022.10074077&partnerID=40&md5=fbe1cf8c849b4f71e05d14e6887dad9c" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85152192249&doi=10.1109%2fICAC3N56670.2022.10074077&partnerID=40&md5=fbe1cf8c849b4f71e05d14e6887dad9c</a> Rights Information about rights held in and over the resource Restricted Access Relation A related resource ISBN: 978-166547436-8 Format The file format, physical medium, or dimensions of the resource Online Language A language of the resource English Type The nature or genre of the resource 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 Kaushik J., Mit (ADT) University, Pune, India, Christ University, Pune, India; Vashisht A.V., Mit (ADT) University, Pune, India