1 20 2832 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 Vinodha, D.; Anita, E. A. Mary; Thirunavukkarasu, Padmavathy; Geetha, P. Title A name given to the resource Blockchain-Based Digital Twin for Predictive Maintenance of Machines Using Machine Learning Date A point or period of time associated with an event in the lifecycle of the resource 01-01-2025 Source A related resource from which the described resource is derived Blockchain-Based Digital Twins: Research Trends and Challenges;pp.249-277 Identifier An unambiguous reference to the resource within a given context <a href="https://www.scopus.com/pages/publications/105006551760?origin=resultslist" target="_blank" rel="noreferrer noopener">https://www.scopus.com/pages/publications/105006551760?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 Vinodha D., CHRIST (Deemed to be University), Karnataka, Bangalore, India; Anita E.A.M., CHRIST (Deemed to be University), Karnataka, Bangalore, India; Thirunavukkarasu P., Department of Computational Intelligence, SRM Institute of Science and Technology, Tamil Nadu, Kattakulathur, India; Geetha P., Department of Computational Intelligence, SRM Institute of Science and Technology, Tamil Nadu, Kattakulathur, India Description An account of the resource Digital Twin (DT) is a software replica of the physical asset or process that serves the automobile industry by empowering engineers and data scientists to gain a deeper insight into the system and solve the biggest challenges with less time and cost. Blockchain technology is an evolving and promising technology that foresees providing surveil -lance facilities for DTs, resulting in firming up security and improving the openness, reliability, and unchangeability of DTs. By incorporating intellectual behavior in blockchain-based DTs, the functions of machines can be governed parallelly, and the major maintenance activities can be predicted effectively. This chapter explores the design of various frameworks using recent technologies. Some of them are DTs, blockchain, artificial intelligence, and the Internet of Things which drive resolution in the industry to minimize the governing cost of machines. 2025 by Apple Academic Press, Inc. Subject The topic of the resource Blockchain; Deep learning; Digital twin; Edge computing; Industrial machines; Long-term memory; Machine learning; Novel framework; Predictive maintenance; Stakeholders Publisher An entity responsible for making the resource available Apple Academic Press Relation A related resource ISBN: 978-104026679-3; 978-177491842-5; 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 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 Takore, Tamirat Tagesse; Krishna, Konda Hari; Kumar, K. Suresh; Kumar, R. Ganesh; Jain, Amit; Keerthika, T. Title A name given to the resource Applications, Enabling Technologies, Vision of Edge Artificial Intelligence for 6G 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 Advances in AI for Cloud, Edge, and Mobile Computing Applications;pp.213-237 Identifier An unambiguous reference to the resource within a given context <a href="https://www.scopus.com/pages/publications/105005693781?origin=resultslist" target="_blank" rel="noreferrer noopener">https://www.scopus.com/pages/publications/105005693781?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 Takore T.T., Department of Electrical and Computer Engineering, Wachemo University, India; Krishna K.H., Department of CSE, School of Computing, Mohan Babu University, Sree Sainath Nagar, Rangampeta, Andhra Pradesh, Tirupati, India; Kumar K.S., MBA Department, Panimalar Engineering College, Varadarajapuram, Poonamallee, Tamil Nadu, Chennai, India; Kumar R.G., Department of Computer Science and Engineering, CHRIST (Deemed to be University), School of Engineering and Technology, Kengeri Campus, Kanminike, Karnataka, Bangalore, India; Jain A., Computer Science and Engineering Department, OP Jindal University, Chhattisgarh, Raigarh, India; Keerthika T., Department of IT, Sri Krishna College of Engineering and Technology, Coimbatore, India Description An account of the resource The advancement in applications of artificial intelligence technologies that propels the ongoing development of wireless networks. Envisioned as a transformative force, 6G is expected to shift wireless evolution from connecting devices to enabling intelligent connections. However, cutting-edge AI systems relying on deep learning and extensive data analytics demand significant computational and communication resources, leading to notable issues such as privacy breaches, network congestion, energy consumption and latency during both inference and training phases. Edge AI emerges as a disruptive technology for 6G by incorporating inference capabilities and model training at the networks edge. This approach seamlessly integrates intelligence, computation, communication and sensing enhancing the security, privacy, effectiveness and efficiency of the 6G technologies. The study includes the applications, enabling technologies dependable and scalable edge AI technology through an integrated approach that encompasses decentralized models of machine learning and strategies of wireless communication. We will delve into new wireless network design principles, optimization methods for resource allocation driven by service requirements, and an all-encompassing architecture of end-to-end system supporting edge AI. Additionally, we will touch upon application scenarios, hardware and software platforms, and standardization for facilitating the commercialization and industrial adoption of edge AI systems. 2025 Apple Academic Press, Inc. Subject The topic of the resource 6G technologies; Edge AI; Federated learning; Intelligent healthcare; Internet of medical things (IoMT); Precision medicine Publisher An entity responsible for making the resource available Apple Academic Press Relation A related resource ISBN: 978-104038081-9; 978-177952068-5; 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 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 Srivastava, Manish Kumar; Kulkarni, Abhishek; Ambastha, Ajitabh; Sarkar, Suman; Upadhyay, Satyendra Title A name given to the resource Industry 4.0 and Sustainable Supply Chain: An academic review, emerging trend &amp; analysis with future agenda and case study 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 Sustainable Tourism, Hospitality and Events: Emerging Trends and New Opportunities;pp.129-149 Identifier An unambiguous reference to the resource within a given context <a href="https://www.scopus.com/pages/publications/105027718532?origin=resultslist" target="_blank" rel="noreferrer noopener">https://www.scopus.com/pages/publications/105027718532?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 Srivastava M.K., School of Business and Management, Christ University, Bengaluru, India; Kulkarni A.; Ambastha A., School of Business and Management, Christ University, Bengaluru, India; Sarkar S.; Upadhyay S., K.J. Somaiya Institute of Management, India Description An account of the resource The fourth industrial revolution, known as Industry 4.0, is characterized by integrating advanced digital technologies such as cyber-physical systems, Internet of Things (IoT), blockchain, and artificial intelligence (AI). These technologies are significantly transforming various sectors, including the pharmaceutical industry. Industry 4.0 technologies offer immense potential for enhancing the efficiency, transparency, and sustainability of supply chains. The integration of advanced digital technologies known as Industry 4.0, including cyber-physical systems, IoT, and AI, is reshaping diverse industries towards greater sustainability. This study uses a case study methodology to explore the effects of Industry 4.0 on creating more sustainable supply chains across these sectors. 2026 selection and editorial matter, Pantea Foroudi, Maria Palazzo and Satyendra Upadhyay; individual chapters, the contributors. Publisher An entity responsible for making the resource available Taylor and Francis Relation A related resource ISBN: 978-104051623-2; 978-103278609-4; 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 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 Srivastava, Ambar; Singh, Deepika; Dave, Ishita Title A name given to the resource The Integrated Approach of ESG, SDGs, and Sustainable Finance 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 Environmental, Social, and Governance (ESG) Investing for Sustainable Finance;pp.47-65 Identifier An unambiguous reference to the resource within a given context <a href="https://www.scopus.com/pages/publications/105037281181?origin=resultslist" target="_blank" rel="noreferrer noopener">https://www.scopus.com/pages/publications/105037281181?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 Srivastava A., Department of Commerce, Christ University, Delhi, NCR, India; Singh D., Department of Commerce, Christ University, Delhi, NCR, India; Dave I., Department of Commerce, Christ University, Delhi, NCR, India Description An account of the resource In recent years, sustainability has emerged as a popular buzzword. The practice of considering Environmental, Social and Governance (ESG) factors when making investment decisions in the financial industry is known as sustainable finance and it results in longer-term investments in sustainable projects and economic activities. Sustainable Development Goals (SDGs) also play a crucial role in the adoption of sustainable practices. Investing in companies and projects that use sustainable ESG practices is already becoming more popular and there is a rising need for finance experts with knowledge of this emerging but specialized area. Stakeholder demands and regulations with an environmental focus will increase pressure on organizations to set public climate-related goals. This study tries to find out the interrelationship between ESG, SDGs and Sustainable Finance. This study also explores popular sustainable finance products available to organizations and the challenges organizations face with sustainable financing. 2026 by Nova Science Publishers, Inc. Subject The topic of the resource Challenges; Environmental; ESG; Governance; Social; Sustainable development goals (SDGs); Sustainable finance Publisher An entity responsible for making the resource available Nova Science Publishers, Inc. Relation A related resource ISBN: 979-890134219-0; 979-890134138-4; 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 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 Singhal, Adwiti; Madhusudanan, Aradhana; Rajendran, Vijayalaxmi; Kumar, Amit Title A name given to the resource Sustainable Finance and ESG Investing: A Blueprint for Future Growth in Indias Banking Sector 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 Environmental, Social, and Governance (ESG) Investing for Sustainable Finance;pp.261-276 Identifier An unambiguous reference to the resource within a given context <a href="https://www.scopus.com/pages/publications/105037284418?origin=resultslist" target="_blank" rel="noreferrer noopener">https://www.scopus.com/pages/publications/105037284418?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 Singhal A.; Madhusudanan A.; Rajendran V.; Kumar A., School of Business and Management, CHRIST University, Bengaluru, India Description An account of the resource The paper focuses on sustainability transformation in banking, notably through environmental, social, and governance (ESG) investing. Today, completely profit-focused banks are gradually incorporating sustainability into their basic functions. This is consistent with global initiatives, namely the Paris Agreement, besides the United Nations Sustainable Development Goals. This reflects a deeper understanding that financial activity must be environmentally friendly and socially responsible. With that, banks can now appraise if the banks investment is profitable, good, and sustainable. Reserve Bank of India, being the regulatory authority in India, with the help of the Securities and Exchange Board of India, has also been supportive by laying certain rules that enforce transparency of ESG practice, encouraging green bond issues. Thus, regulations are seen as bringing Indian banks close to world standards and promoting this sustainability culture. The paper also draws upon the importance of integrating ESG factors into risk management systems to mitigate any financial risks that could stem from environmental and social concerns. It further argues that although ESG practices will be beneficial in improving financial performance, their impact does differ by component and should, therefore, be adopted while working in emerging economies such as India. 2026 by Nova Science Publishers, Inc. Publisher An entity responsible for making the resource available Nova Science Publishers, Inc. Relation A related resource ISBN: 979-890134219-0; 979-890134138-4; 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 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 Sindhu, V.; Vinay, M. Title A name given to the resource Possess Thorough Knowledge of Zero Trust Principles 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 Zero-Trust Learning: Applications in Modern Network Security;pp.289-303 Identifier An unambiguous reference to the resource within a given context <a href="https://www.scopus.com/pages/publications/105018282108?origin=resultslist" target="_blank" rel="noreferrer noopener">https://www.scopus.com/pages/publications/105018282108?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 Sindhu V., Department of Computer Science, CHRIST University, Karnataka, Bangalore, India; Vinay M., CHRIST University, Karnataka, Bangalore, India Description An account of the resource In todays ever-evolving cybersecurity landscape, the traditional perimeter based security model is no longer sufficient to protect organizations from advanced threats and breaches. The Zero Trust framework has emerged as a paradigm shift in security strategy, focusing on the fundamental principle that trust should never be assumed, even within a networks boundaries. This abstract explores the foundational concepts of Zero Trust, emphasizing its core principles and components. Zero Trust security is rooted in the belief that organizations should not automatically trust any user or device, whether inside or outside the corpo rate network. This approach challenges the traditional trust but verify model and replaces it with a never trust, always verify philosophy. The Zero Trust model is designed to enhance security by continuously validating the identity and security posture of users, devices, applications, and data. 2026 by Apple Academic Press, Inc. Publisher An entity responsible for making the resource available Apple Academic Press Relation A related resource ISBN: 978-104042474-2; 978-177964356-8; 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 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 Shoran, Preety; Nain, Ajay; Malik, Rohit; Sheikh, Sophiya Title A name given to the resource A Comprehensive Review of IoT, Intelligent Systems, and Computing Applications in Enhancing Renewable Energy Sources 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 Applications of Intelligent Technologies in Renewable Energy;pp.149-181 Identifier An unambiguous reference to the resource within a given context <a href="https://www.scopus.com/pages/publications/105031761635?origin=resultslist" target="_blank" rel="noreferrer noopener">https://www.scopus.com/pages/publications/105031761635?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 Shoran P., School of Sciences, CHRIST (Deemed to be University), Uttar Pradesh, Ghaziabad, 201003, India; Nain A., School of Computer Applications, Lovely Professional University, Punjab, Phagwara, 144411, India; Malik R., School of Computer Applications, Lovely Professional University, Punjab, Phagwara, 144411, India; Sheikh S., School of Computer Applications, Lovely Professional University, Punjab, Phagwara, 144411, India Description An account of the resource This chapter provides a thorough examination of the application of the Internet of Things (IoT), intelligent systems, and advanced computing in enhancing the effectiveness and sustainability of renewable energy sources such as wind, ocean, hydro, and solar energies. This study explores the incorporation of real-time monitoring, predictive maintenance, and energy forecasting facilitated by the Internet of Things (IoT) and intelligent systems. The integration of artificial intelligence (AI)-based analytics and cloud computing methodologies significantly improves the process of decision-making, grid management, and optimization of energy storage. This analysis highlights the significant impact of recent technological breakthroughs and case studies on the transformation of renewable energy generation and management, ultimately contributing to the development of a sustainable and intelligent energy landscape. 2026 River Publishers. Subject The topic of the resource Artificial intelligence; Cloud computing; energy forecasting; intelligent systems; Internet of Things Publisher An entity responsible for making the resource available River Publishers Relation A related resource ISBN: 978-874380983-8; 978-874380984-5; 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 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 Sethurajan, Monikka Reshmi; Natarajan, K. Title A name given to the resource FORCASTING DEPLOYMENT OF WEB FORENSICS TO AVERT MISINFORMATION SPREAD USING WEFA TOOL 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 Attacks on Artificial Intelligence: The New Facets of Cyber Ecospace;pp.121-136 Identifier An unambiguous reference to the resource within a given context <a href="https://www.scopus.com/pages/publications/105018280331?origin=resultslist" target="_blank" rel="noreferrer noopener">https://www.scopus.com/pages/publications/105018280331?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 Sethurajan M.R., CHRIST University, Bangalore, India; Natarajan K., CHRIST University, Bangalore, India Description An account of the resource As fake news or misinformation is becoming more prevalent, it is distorting people's understanding and decisions by influencing their perceptions and knowledge. Since long before the Internet, misinformation and hoaxes have existed. News outlets and social media websites publish false news to increase readership or as a psychological warfare tactic, especially during times of crisis, such as the COVID-19 pandemic. Social networks gener ated large amounts of multimedia data due to the ubiquitous nature of social media platforms. Misinformation, also called rumors, may cause severe damages due to its unverified nature. Let me start by saying there is a big problem of fake news currently affecting societies, nations, and individuals. For example, a fake news story about alleged medicine in the United States or Brazil was part of the COVID-19 pandemic (e.g., misinformation on fake medicines); misinformation has negatively impacted democratic elections and the statuses of individuals and organizations. Misinformation must be addressed; and we have to find reliable solutions that are agile and reliable. In this sense, it provides a serious assessment of the current knowledge state in misinformation detection, both in order to describe probable solutions as well as to inspire upcoming research. Our study is extended to focus on means to avert this misinformation spread with the help of forensic web based tools along with ML that can extend its application to identifying systems and websites responsible for this malicious attempt. 2026 by Apple Academic Press, Inc. Publisher An entity responsible for making the resource available Apple Academic Press Relation A related resource ISBN: 978-104009235-4; 978-177491622-3; 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 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 Sebihi, Ahmed; Jain, Piyush K.; Jain, Rahul Title A name given to the resource The sustainable environment in Ajman: A journey towards a green future in the United Arab Emirates 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 Advancements in Sustainability Systems II;pp.1-20 Identifier An unambiguous reference to the resource within a given context <a href="https://www.scopus.com/pages/publications/105014234497?origin=resultslist" target="_blank" rel="noreferrer noopener">https://www.scopus.com/pages/publications/105014234497?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 Sebihi A., Skyline University College, Sharjah, United Arab Emirates; Jain P.K., Christ University, Bengaluru, India; Jain R., De Montfort University, Dubai, United Arab Emirates Description An account of the resource Ajman, a rapidly developing emirate in the United Arab Emirates, is embarking on a journey toward a sustainable future amidst environmental challenges. This paper explores the current environmental situation in Ajman, analyzing challenges such as pollution, waste management issues, resource depletion, and impacts of climate change. It evaluates ongoing environmental innovation initiatives, including projects addressing these challenges and their impact on the local environment. Additionally, the paper examines the latest environmental technologies and innovations deployed in Ajman, along with efforts to promote environmental awareness among the local community. Furthermore, it delves into partnerships between the government and private sectors and international collaborations to advance sustainability goals. Finally, the paper identifies future challenges and development opportunities, reviews existing environmental policies and legislation, and provides recommendations for fostering a greener and more sustainable future in Ajman. 2025 by Nova Science Publishers, Inc. All rights reserved. Subject The topic of the resource Awareness; Environmental challenges; Innovation; Partnerships; Sustainability; Technology Publisher An entity responsible for making the resource available Nova Science Publishers Inc. Relation A related resource ISBN: 979-889530654-3; 979-889530562-1; 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 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 Sathish, P.K.; Krishna, A.V.N. Title A name given to the resource SECURE VIDEO SURVEILLANCE SYSTEMS FOR PERSON REIDENTIFICATION USING ELLIPTIC CURVE CRYPTOGRAPHY 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 Attacks on Artificial Intelligence: The New Facets of Cyber Ecospace;pp.105-120 Identifier An unambiguous reference to the resource within a given context <a href="https://www.scopus.com/pages/publications/105018284344?origin=resultslist" target="_blank" rel="noreferrer noopener">https://www.scopus.com/pages/publications/105018284344?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 Sathish P.K., Department of Computer Science Engineering, CHRIST University, Bangalore, India; Krishna A.V.N., Department of Computer Science Engineering, CHRIST University, Bangalore, India Description An account of the resource This chapter explores the challenges associated with person reidentification in nonoverlapping multi-camera surveillance setups, considering the wide spread use of video surveillance in public spaces. Automated techniques are crucial to handle the large amounts of data from video surveillance. The topic focuses on person detection and reidentification, addressing challenges like changes in size, pose, and background. Various methods for person reidentification are explored, emphasizing the importance of soft biometric details for accurate identification. Elliptic curve cryptography (ECC) is considered as a secure method for ensuring privacy and data integrity in surveillance systems. ECC's efficiency is highlighted in comparison to RSA, showcasing its ability to provide equivalent security with shorter key lengths, reducing computational requirements. The study employs adaptive background detection, Kalman filtering for multiple object tracking, and a CNN-based deep learning model for pedes trian image classification. Encryption using ECC secures the transmitted data, and at the receiver end, the images undergo decryption, classification, and feature extraction for person reidentification. 2026 by Apple Academic Press, Inc. Publisher An entity responsible for making the resource available Apple Academic Press Relation A related resource ISBN: 978-104009235-4; 978-177491622-3; 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 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 Reddy, Jaya Bharath; Sagar, Ragha; Lahari, Lakshmi; Namitha, N.; Murthy, Nishitha N.; Pillai, Vinay Jha Title A name given to the resource AI-SECURED VISITOR MANAGEMENT SYSTEM 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 Attacks on Artificial Intelligence: The New Facets of Cyber Ecospace;pp.235-252 Identifier An unambiguous reference to the resource within a given context <a href="https://www.scopus.com/pages/publications/105018260815?origin=resultslist" target="_blank" rel="noreferrer noopener">https://www.scopus.com/pages/publications/105018260815?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 Reddy J.B., Department of Electronics and Communication Engineering, School of Engineering and Technology, Christ University, Kengeri Campus, Bengaluru, India; Sagar R., Department of Electronics and Communication Engineering, School of Engineering and Technology, Christ University, Kengeri Campus, Bengaluru, India; Lahari L., Department of Electronics and Communication Engineering, School of Engineering and Technology, Christ University, Kengeri Campus, Bengaluru, India; Namitha N., Department of Electronics and Communication Engineering, School of Engineering and Technology, Christ University, Kengeri Campus, Bengaluru, India; Murthy N.N., Department of Electronics and Communication Engineering, School of Engineering and Technology, Christ University, Kengeri Campus, Bengaluru, India; Pillai N.N., Department of Electronics and Communication Engineering, School of Engineering and Technology, Christ University, Kengeri Campus, Bengaluru, India Description An account of the resource In general, there are so many organizations using the conventional paper log book to record the access of the visitors. This conventional method takes longer time if the number of visitors exceeds the limit. Meanwhile, security issue should be a main concern if there is an increase in the number of visi tors. This is mainly due to the operators who take a long time to verify the identification of each and every visitor when there is huge number of visi tors entering the premises. Moreover, paper log is inadequate to efficiently retrieve and archive the data after several years. This report mainly discusses about the design and implementation of Visitor Management System using Internet of Things (IoT) and Artificial Intelligence (AI). Visitor management system is a security system which is used to track visitors activities in an organization or public building. ESP32 AI Thinker is used to collect the live stream video. Face detection and identification of visitors can be achieved through Artificial Intelligence (AI). With the help of IoT, we can remote access the system for visitor monitoring. The visitors information gets stored into a cloud server which helps the user to view the visitors details on mobile phone at any time. With the help of an API, the user can control the access of a visitor into the premises through notification alerts. A website has been created in order to store the details of visitors such as photograph, arrival time with the help of dijango web application frame work and bootstrap for user interface. DigitalOcean is the cloud server which is used to store the database. To get the notifications on mobile phone, a Telegram BoT API has been created in Telegram app. This BoT also saves the arrival time and photo of the visitor. With the help of this, the user will also be notified whenever a suspicious activity occurs in the premises. This IoT networked contact less security system offers improved security. AI secured Visitor Management System is the best solution to overcome the problems existing in the conventional method as it is the easy way to identify and record the information of a visitor. 2026 by Apple Academic Press, Inc. Publisher An entity responsible for making the resource available Apple Academic Press Relation A related resource ISBN: 978-104009235-4; 978-177491622-3; 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 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 Reddy, Jaya Bharath; Sagar, Ragha; Lahari, Lakshmi; Namitha, N.; Murthy, Nishitha N.; Pillai, Vinay Jha Title A name given to the resource AI-SECURED VISITOR MANAGEMENT SYSTEM 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 Attacks on Artificial Intelligence: The New Facets of Cyber Ecospace;pp.235-252 Identifier An unambiguous reference to the resource within a given context <a href="https://www.scopus.com/pages/publications/105018260815?origin=resultslist" target="_blank" rel="noreferrer noopener">https://www.scopus.com/pages/publications/105018260815?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 Reddy J.B., Department of Electronics and Communication Engineering, School of Engineering and Technology, Christ University, Kengeri Campus, Bengaluru, India; Sagar R., Department of Electronics and Communication Engineering, School of Engineering and Technology, Christ University, Kengeri Campus, Bengaluru, India; Lahari L., Department of Electronics and Communication Engineering, School of Engineering and Technology, Christ University, Kengeri Campus, Bengaluru, India; Namitha N., Department of Electronics and Communication Engineering, School of Engineering and Technology, Christ University, Kengeri Campus, Bengaluru, India; Murthy N.N., Department of Electronics and Communication Engineering, School of Engineering and Technology, Christ University, Kengeri Campus, Bengaluru, India; Pillai N.N., Department of Electronics and Communication Engineering, School of Engineering and Technology, Christ University, Kengeri Campus, Bengaluru, India Description An account of the resource In general, there are so many organizations using the conventional paper log book to record the access of the visitors. This conventional method takes longer time if the number of visitors exceeds the limit. Meanwhile, security issue should be a main concern if there is an increase in the number of visi tors. This is mainly due to the operators who take a long time to verify the identification of each and every visitor when there is huge number of visi tors entering the premises. Moreover, paper log is inadequate to efficiently retrieve and archive the data after several years. This report mainly discusses about the design and implementation of Visitor Management System using Internet of Things (IoT) and Artificial Intelligence (AI). Visitor management system is a security system which is used to track visitors activities in an organization or public building. ESP32 AI Thinker is used to collect the live stream video. Face detection and identification of visitors can be achieved through Artificial Intelligence (AI). With the help of IoT, we can remote access the system for visitor monitoring. The visitors information gets stored into a cloud server which helps the user to view the visitors details on mobile phone at any time. With the help of an API, the user can control the access of a visitor into the premises through notification alerts. A website has been created in order to store the details of visitors such as photograph, arrival time with the help of dijango web application frame work and bootstrap for user interface. DigitalOcean is the cloud server which is used to store the database. To get the notifications on mobile phone, a Telegram BoT API has been created in Telegram app. This BoT also saves the arrival time and photo of the visitor. With the help of this, the user will also be notified whenever a suspicious activity occurs in the premises. This IoT networked contact less security system offers improved security. AI secured Visitor Management System is the best solution to overcome the problems existing in the conventional method as it is the easy way to identify and record the information of a visitor. 2026 by Apple Academic Press, Inc. Publisher An entity responsible for making the resource available Apple Academic Press Relation A related resource ISBN: 978-104009235-4; 978-177491622-3; 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 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 Ravuri, Ananda; Malik, Khushboo; Krishna, Konda Hari; Das, Abhijeet; Bhattacharjee, Ripon; Dhanraj, Joshuva Arockia Title A name given to the resource Application of Artificial Intelligence for Enhancement of Privacy and Security in Smart Environment 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 Advances in AI for Cloud, Edge, and Mobile Computing Applications;pp.73-94 Identifier An unambiguous reference to the resource within a given context <a href="https://www.scopus.com/pages/publications/105005704394?origin=resultslist" target="_blank" rel="noreferrer noopener">https://www.scopus.com/pages/publications/105005704394?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 Ravuri A., Intel Corporation, Hillsboro, OR, United States; Malik K., School of Law, CHRIST (Deemed to be University), DelhiNCR Campus, India; Krishna K.H., Department of CSE, School of Computing, Mohan Babu University, Sree Sainath Nagar, Rangampeta, Andhra Pradesh, Tirupati, India; Das A., Department of Civil Engineering, C.V. Raman Global University (CGU), Odisha, Bhubaneswar, India; Bhattacharjee R., National Law University, Tripura, India; Dhanraj J.A., Center for Automation and Robotics (ANRO), Department of Mechatronics Engineering, Hindustan Institute of Technology and Science, Padur, Tamil Nadu, Chennai, India Description An account of the resource With the advancement of urbanization, city public privacy and security are growing increasingly crucial. City public privacy and security is not just the basis of environmental growth, but also the primary assurance for the long-term security of inhabitants existence. The idea of a smart environment is continually being explored in the present-day artificial intelligence (AI) setting. Urban public privacy and security have also introduced novel issues and difficulties. To objective of this paper is to employ AI innovation to create an effective public privacy and security data resources management platform in a smart environment. One of the main objectives of the study of AI was to allow systems to execute complicated activities that would ordinarily need human intellect. In this paper, the neural network (NN) data processing technique was used. As indication statistics, variables impacting urban public privacy and security were evaluated. The feed forward back-propagation NN (BPNN) was utilized in this study to anticipate indices statistics in real-time, which enabled the administration tasks of risk surveillance and initial alert of public privacy and security data indications to be accomplished. The outcomes indicated that the BPNN method had a mean prediction performance of roughly 89% for indication prediction, which was 16.1% points greater than the conventional NN method. The BPNN methods mean hazard alert accuracy pace was 90.3%, which was 16.5% greater than that of the typical NN method. This demonstrates that the BPNN method used in this study, which employs AI innovation, can perform advanced alerting of threats and administration of urban public privacy and security more effectively and precisely. 2025 Apple Academic Press, Inc. Subject The topic of the resource Artificial intelligence; Neural networks; Privacy; Security; Smart environment Publisher An entity responsible for making the resource available Apple Academic Press Relation A related resource ISBN: 978-104038081-9; 978-177952068-5; 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 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 Prathap, Boppuru Rudra; Kumar, Kukatlapalli Pradeep; Joseph, P. Mani Title A name given to the resource ONLINE CUSTOMERS PURCHASE INTENTIONS CLASSIFICATION USING HYBRID XGBOOST MACHINE LEARNING MODEL AND ITS SECURITY CONCERNS 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 Attacks on Artificial Intelligence: The New Facets of Cyber Ecospace;pp.137-154 Identifier An unambiguous reference to the resource within a given context <a href="https://www.scopus.com/pages/publications/105018271559?origin=resultslist" target="_blank" rel="noreferrer noopener">https://www.scopus.com/pages/publications/105018271559?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 Prathap M.R., Department of Computer Science and Engineering, CHRIST (Deemed to be University, Bangalore, India; Kumar K.P., Department of Computer Science and Engineering, CHRIST (Deemed to be University, Bangalore, India; Joseph P.M., Department of Computer Science, Modern College of Business and Science, Muscat, Oman Description An account of the resource With technology advancing rapidly and data growing at an unprecedented rate, e-commerce businesses are gathering extensive customer informa tion. Yet, many organizations struggle to fully leverage this data. Grasping customer behaviour is vital for businesses aiming to create effective marketing strategies, boost product visibility, and drive sales. Several factors affect consumer purchasing decisions, including search history, time spent viewing products, bounce rates, and demographic details like age, gender, and income. This study investigates the key elements influencing customer behaviour and investigates data mining techniques to enhance revenue predictions. A major challenge in e-commerce is converting website traffic into actual sales. Attracting visitors alone does not ensure revenue. To tackle this issue, classification techniques are used to assess the likelihood of a purchase based on user interactions. Furthermore, while artificial intel ligence and machine learning have revolutionized e-commerce analytics, security issues persist. Adversarial attacks on machine learning models can create risks, making security a critical consideration. This research offers a thorough analysis of classification techniques for evaluating business revenue generation. It also examines ways to improve model accuracy while addressing security weaknesses. The findings aim to enhance e-commerce decision-making, customer targeting, and overall business growth. 2026 by Apple Academic Press, Inc. Publisher An entity responsible for making the resource available Apple Academic Press Relation A related resource ISBN: 978-104009235-4; 978-177491622-3; 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 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 Niranjan, L.R.; Rajan, Shivakami Title A name given to the resource REVOLUTIONIZING HR: AI-DRIVEN TRANSFORMATION IN TALENT ACQUISITION, DEVELOPMENT, AND MANAGEMENT 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 Artificial Intelligence for Digital Talent Acquisition and Management: Analytical Approaches, Practices, Models for Digitalization;pp.95-112 Identifier An unambiguous reference to the resource within a given context <a href="https://www.scopus.com/pages/publications/105034486368?origin=resultslist" target="_blank" rel="noreferrer noopener">https://www.scopus.com/pages/publications/105034486368?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 Niranjan L.R., aSchool of Business and Management, Christ University, Karnataka, Bangalore, India; Rajan S., Faculty of Management and Commerce, Ramaiah University of Applied Sciences, Karnataka, Bangalore, India Description An account of the resource Introduction: Organizations in the knowledge-based industry depend on intellectual capacity, where key talent plays a major role in their success and business sustainability. Human resource (HR) management, in its traditional form involves labour-intensive processes and practices that are prone to unconscious bias, inadequate retention measures and diversity issues creating significant challenges in talent management. Purpose: The study brings to the fore a multi-stakeholder outlook that makes the adoption of artificial intelligence (AI) very lucrative. This study aims to highlight the capabilities of AI that address its limitations and retain a human-centric approach. Scope: The study encompasses the whole gamut of talent management lifecycle, starting from recruitment automation initiatives to onboarding, career planning and development, employee engagement, performance management, and succession planning in large global organizations. Methodology: The authors carried out an extensive review of the literature and analysis of use cases encompassing the use of AI and its implementation strategies, outcomes, and best practices, spanning the myriad talent acquisition and management functions. Findings: About 40% of large organizations have plans to invest in AI-enabled skills management solutions by 2028. AI-driven talent analyticshaveenabledbettercandidateassessment,hiringbiaseshave significantly reduced, and retention rates have increased an 82%. Significant workload savings, enhanced prediction capabilities, and improved accuracy across talent management processes are some of the other benefits of AI-enabled talent management solutions. AI usage has enhanced HR professionals efficiency, leadership has improved their decision-making capabilities, and employees have experienced increased opportunities for personal and professional development. Individual chapters 2026 The authors. Subject The topic of the resource Artificial intelligence; bias reduction; human resource virtual assistants; human-centred HR; recruitment automation; talent management Publisher An entity responsible for making the resource available Emerald Group Publishing Ltd. Relation A related resource ISBN: 978-183708884-3; 978-183708886-7; 978-183708885-0; Language A language of the resource English Type The nature or genre of the resource Book chapter Rights Information about rights held in and over the resource Restricted Access; Hardcopy may be available in the library 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 Nandy, Rimi; Dattagupta, Mukulika Title A name given to the resource Rays Women and Sartorial Choices: Exploring Through Colonial and Feminist Perspective 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 Fashioning the Asian Century: Sustainability, Aesthetics, and Popular Culture in the New Millennium;pp.107-127 Identifier An unambiguous reference to the resource within a given context <a href="https://www.scopus.com/pages/publications/105038823105?origin=resultslist" target="_blank" rel="noreferrer noopener">https://www.scopus.com/pages/publications/105038823105?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 Nandy R., Department of English and Cultural Studies, Christ University, Pune Lavasa Campus, India; Dattagupta M. Description An account of the resource [No abstract available] Publisher An entity responsible for making the resource available Bloomsbury Publishing Plc. Relation A related resource ISBN: 978-135046086-7; 978-135046084-3; 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 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 Mary Biji, Divya; Nanjundan, Preethi; Thomas, Lijo Title A name given to the resource Employing Artificial Intelligence and Automation in Sustainable Development Research 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 Sustainability and Sustainable Development From Vision To Reality;pp.83-110 Identifier An unambiguous reference to the resource within a given context <a href="https://www.scopus.com/pages/publications/105006581733?origin=resultslist" target="_blank" rel="noreferrer noopener">https://www.scopus.com/pages/publications/105006581733?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 Mary Biji D., Department of Data Science, Christ University, Bengaluru, India; Nanjundan P., Department of Data Science, Christ University, Bengaluru, India; Thomas L., Christ University, Bengaluru, India Description An account of the resource The rise of artificial intelligence (AI) and its increasingly widespread influence across various sectors necessitates an evaluation of its impact on the attainment of Sustainable Development Goals (SDGs). Industrialized nations have reaped the benefits of 21st-century technologies, particularly automation, which has fundamentally transformed the manufacturing and industrial production processes. The next evolutionary phase in automation is the advent of AI, characterized by machines and systems demonstrating intelligence, not only capable of performing tasks but also collaborating synergistically with humans and the environment. Among its myriad contributions, AI is poised to enhance development, foster sustainable resource utilization, and facilitate effective waste management. Intelligent systems are set to reshape various domains, including transportation, precision agriculture, biodiversity conservation, environmental modeling, public health, construction, manufacturing, and initiatives aimed at fostering prosperity on Earth. These systems will possess the ability to perceive, analyze situations, and responsively react to real-time cues such as human gestures, facial expressions, and the movement of pedestrians crossing busy streets. This research delves into the intricate relationship between AI systems and the objectives of sustainable development (SD). 2025 by Apple Academic Press, Inc. Subject The topic of the resource AI; Digitalization; Sustainable development Publisher An entity responsible for making the resource available Apple Academic Press Relation A related resource ISBN: 978-104038164-9; 978-100363810-0; Language A language of the resource English Type The nature or genre of the resource Book chapter Rights Information about rights held in and over the resource Restricted Access; Hardcopy may be available in the library 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 Mary Biji, Divya; Nanjundan, Preethi; Thomas, Lijo Title A name given to the resource Employing Artificial Intelligence and Automation in Sustainable Development Research 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 Sustainability and Sustainable Development From Vision To Reality;pp.83-110 Identifier An unambiguous reference to the resource within a given context <a href="https://www.scopus.com/pages/publications/105006581733?origin=resultslist" target="_blank" rel="noreferrer noopener">https://www.scopus.com/pages/publications/105006581733?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 Mary Biji D., Department of Data Science, Christ University, Bengaluru, India; Nanjundan P., Department of Data Science, Christ University, Bengaluru, India; Thomas L., Christ University, Bengaluru, India Description An account of the resource The rise of artificial intelligence (AI) and its increasingly widespread influence across various sectors necessitates an evaluation of its impact on the attainment of Sustainable Development Goals (SDGs). Industrialized nations have reaped the benefits of 21st-century technologies, particularly automation, which has fundamentally transformed the manufacturing and industrial production processes. The next evolutionary phase in automation is the advent of AI, characterized by machines and systems demonstrating intelligence, not only capable of performing tasks but also collaborating synergistically with humans and the environment. Among its myriad contributions, AI is poised to enhance development, foster sustainable resource utilization, and facilitate effective waste management. Intelligent systems are set to reshape various domains, including transportation, precision agriculture, biodiversity conservation, environmental modeling, public health, construction, manufacturing, and initiatives aimed at fostering prosperity on Earth. These systems will possess the ability to perceive, analyze situations, and responsively react to real-time cues such as human gestures, facial expressions, and the movement of pedestrians crossing busy streets. This research delves into the intricate relationship between AI systems and the objectives of sustainable development (SD). 2025 by Apple Academic Press, Inc. Subject The topic of the resource AI; Digitalization; Sustainable development Publisher An entity responsible for making the resource available Apple Academic Press Relation A related resource ISBN: 978-104038164-9; 978-100363810-0; Language A language of the resource English Type The nature or genre of the resource Book chapter Rights Information about rights held in and over the resource Restricted Access; Hardcopy may be available in the library 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 Manasa, Sanyasi; Kumar, Kukatlapalli Pradeep Title A name given to the resource DIGITAL FORENSICS ANALYSIS FOR ADVERSARIAL ATTACKS IN AI-BASED SYSTEMS Date A point or period of time associated with an event in the lifecycle of the resource 01-01-2025 Source A related resource from which the described resource is derived Attacks on Artificial Intelligence: The New Facets of Cyber Ecospace;pp.51-70 Identifier An unambiguous reference to the resource within a given context <a href="https://www.scopus.com/pages/publications/105018274596?origin=resultslist" target="_blank" rel="noreferrer noopener">https://www.scopus.com/pages/publications/105018274596?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 Manasa P., Department of Computer Science Engineering, Christ University, Bengaluru, India; Kumar K.P., Department of Computer Science Engineering, Christ University, Bengaluru, India Description An account of the resource Digital forensics investigation is a field of science that focuses primarily on the recovery and examination of devices. The digital forensics or cyber forensics was primarily used for computer-based forensics. Artificial intel ligence (AI for short) is a group of computational models that use the black box-based technology of the neural network (NN) such as classification, prediction, and optimization tasks for various applications, such as computer vision, medical imaging, natural language processing, and autonomous vehicles. Cyber Forensics such as robotics, deals with a class of problems in which computational models are manipulated due to intentional malfunction such as adversarial attacks, back-end kind of attacks. This study is aimed to investigate attacks on AI. It also describes conceptual attack strategies using AI and digital forensics tools. The main purpose of this work is to provide a comprehensive analysis of malicious AI-based attacks and different types of classifiers. Two main factors were considered when testing attacks on AI-based systems: (1) Use AI to create inputs that reveal different attacks, or (2) Adjust attacker-specific attacks from different threat models and parameters. 2026 by Apple Academic Press, Inc. Publisher An entity responsible for making the resource available Apple Academic Press Relation A related resource ISBN: 978-104009235-4; 978-177491622-3; 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 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 Lakshmaiah, Vasantha Veerappa; Jain, Sanskar; Das, Tiasa; Prakash, Tanya; Srivastava, Yash; Ballakoor, Abhay R.; Nagella, Praveen Title A name given to the resource NUTRACEUTICALS IN PREGNANCY 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 Nutraceuticals for the Treatment and Prevention of Sexual Disorders;pp.163-201 Identifier An unambiguous reference to the resource within a given context <a href="https://www.scopus.com/pages/publications/105001307413?origin=resultslist" target="_blank" rel="noreferrer noopener">https://www.scopus.com/pages/publications/105001307413?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 Lakshmaiah V.V., Department of Life Sciences, Christ (Deemed to Be University), Hosur Road, Karnataka, Bengaluru, India; Jain S., Department of Life Sciences, Christ (Deemed to Be University), Hosur Road, Karnataka, Bengaluru, India; Das T., Department of Life Sciences, Christ (Deemed to Be University), Hosur Road, Karnataka, Bengaluru, India; Prakash T., Department of Life Sciences, Christ (Deemed to Be University), Hosur Road, Karnataka, Bengaluru, India; Srivastava Y., Department of Life Sciences, Christ (Deemed to Be University), Hosur Road, Karnataka, Bengaluru, India; Ballakoor A.R., Department of Life Sciences, Christ (Deemed to Be University), Hosur Road, Karnataka, Bengaluru, India; Nagella P., Department of Life Sciences, Christ (Deemed to Be University), Hosur Road, Karnataka, Bengaluru, India Description An account of the resource Pregnancy is a phase in womens lives wherein they experience some physiological and bodily changes. In this period dietary supplements are crucial to meet the nutritional demand of the fetus and also to overcome certain gestational complications such as hypertension, diabetes, and anemia. Generally, the intake of micronutrients in the diet is low for women especially in developing countries while it becomes important during pregnancy as they enable uterus and placental growth, manage gestational obesity, and also avoid miscarriage. Research and clinical studies are in power in identifying various safe, plant bioactive substances, and efficient delivery systems to reduce morbidity and mortality rates of maternal, fetal, and neonatal. In recent years the growing awareness of nutraceuticals to fight against chronic diseases such as cancer, and heart disease has gained trust globally and is replacing pharmaceuticals. Knowledge of the macro- and micronutrients is necessary to modify the diet and supplement with nutraceuticals for the well-being of the mother and the fetus. The current chapter highlights the major health complications associated with pregnancy and the essential nutrients required during pregnancy and fetal growth with substantial clinical evidence. 2025 by Apple Academic Press, Inc. Subject The topic of the resource anemia; gestational diabetes; hypertension; melatonin; nutraceutical enzymes; prebiotics Publisher An entity responsible for making the resource available Apple Academic Press Relation A related resource ISBN: 978-104010202-2; 978-177491731-2; Language A language of the resource English Type The nature or genre of the resource Book chapter Rights Information about rights held in and over the resource Restricted Access; Hardcopy may be available in the library