Bhupinder Singh - Böcker

The objective of this book is to provide the fundamental comprehension of a broad range of topics in an integrated volume such that readership hailing from diverse disciplines can rapidly acquire the necessary background for applying it in pertinent research and development field.

This book volume encompasses the recent trends made in the applications of nanoscale tools for diverse constituents of plants and agriculture, particularly in addressing the critical issues related to their safety, efficacy, and efficient and cost-efficient development and production.

The present book volume presents a holistic view of the aspects of nanobiomaterials incl. their stellar merits and limitations, applications in diverse fields, their futuristic promise in the fields of biomedical science and drug delivery. The federal & regulatory issues on the usage of nanobiomaterials have been assigned due consideration.

This book will be a comprehensive account of the various facets of nutraceuticals domain. The peruser of this book will find details on various nanotech approaches to nutraceuticals, prebiotics and probiotics, along with their specific applications.

In this modern technological era, conserving and making better use of resources like energy, water, and other essential resources have recently been one of the main concerns for the manufacturing industry. To successfully compete against the competition, industries are replacing outdated manufacturing techniques with cutting-edge ones that are sustainable in terms of cost, energy usage, better product quality, and environmental safety. Green manufacturing has become one of the key priorities for attaining this.Green Manufacturing and Materials Processing Methods: Characterizations, Applications, and Design offers a critical review of the past work done in green manufacturing and material processing technologies. It presents recent research and development that is going on currently with green manufacturing techniques and discusses characterizations, applications, and the design aspect of materials processed through green manufacturing technologies. With a focus on the sustainability aspect, this book showcases new breakthroughs and comparisons of cutting-edge sustainable manufacturing and materials processing with currently available conventional methods. Highlights throughout the book are on improvements used in various manufacturing processes such as casting, joining, drilling, surface engineering, sintering, and composite manufacturing.This book will serve as a first-hand information source for academic researchers and industrial firms. With the help of this book, readers will have a unique opportunity to comprehend and evaluate recent advancements in green manufacturing and material processing technology. This book will be the go-to resource for individuals who desire to do research or development in the area of sustainable manufacturing and material processing technologies.

In this modern technological era, conserving and making better use of resources like energy, water, and other essential resources have recently been one of the main concerns for the manufacturing industry. To successfully compete against the competition, industries are replacing outdated manufacturing techniques with cutting-edge ones that are sustainable in terms of cost, energy usage, better product quality, and environmental safety. Green manufacturing has become one of the key priorities for attaining this.Green Manufacturing and Materials Processing Methods: Characterizations, Applications, and Design offers a critical review of the past work done in green manufacturing and material processing technologies. It presents recent research and development that is going on currently with green manufacturing techniques and discusses characterizations, applications, and the design aspect of materials processed through green manufacturing technologies. With a focus on the sustainability aspect, this book showcases new breakthroughs and comparisons of cutting-edge sustainable manufacturing and materials processing with currently available conventional methods. Highlights throughout the book are on improvements used in various manufacturing processes such as casting, joining, drilling, surface engineering, sintering, and composite manufacturing.This book will serve as a first-hand information source for academic researchers and industrial firms. With the help of this book, readers will have a unique opportunity to comprehend and evaluate recent advancements in green manufacturing and material processing technology. This book will be the go-to resource for individuals who desire to do research or development in the area of sustainable manufacturing and material processing technologies.

This book introduces a comprehensive model for evaluating the effects of artificial intelligence (AI) on human rights, democracy, and the rule of law and an innovative framework that merges Human Rights Impact Assessments (HRIAs) practices with AI-focused algorithmic impact assessment approaches. The book is divided into three subthemes: Understanding AI, Its Concepts and Implications; Challenges and Solutions in AI Systems; and AI Applications, Compliance Issues, and Future Prospects.Features:Emphasizes the importance of integrating HRIAs with AI-centered approaches.Evaluates impacts of AI on human rights, democracy, and the rule of law to manage potential risks and impacts of AI.Underscores the necessity of a methodology that follows the proportionality principle.Highlights the importance of engaging with stakeholders throughout the impact assessment process.Provides real-world applications of computational intelligence in the HUDERAF context.This book is aimed at graduate students and researchers in artificial intelligence, computer science, cybersecurity, and human rights studies.

This book explores the intersection of legal frameworks, healthcare innovation, and computational intelligence, shedding light on how emerging technologies like artificial intelligence (AI) and machine learning (ML) are reshaping the medical landscape. It presents real- life challenges such as patient privacy, data security, and compliance issues in smart healthcare by delving into the associated ethical and regulatory implications. Comprising the concepts of predictive analytics, regulatory compliance algorithms, and legal decision- making processes, this book offers a roadmap for stakeholders to navigate the evolving landscape of healthcare innovation responsibly and ethically.Features:Investigates how artificial intelligence supports legal decision- making processes in smart healthcare, addressing ethical and accountability concernsDemonstrates the use of smart contracts and automation tools powered by computational intelligence to streamline legal processes and ensure compliance in smart healthcare initiativesFocuses on managing healthcare data within legal frameworks, emphasizing the role of computational intelligence’s in ensuring privacy and securityExamines how computational intelligence enables predictive analytics models to anticipate legal challenges and compliance issues in smart healthcareHighlights the development and implementation of computational algorithms for navigating evolving legal frameworks in healthcareThis reference book is a useful resource for scholars and researchers working on smart healthcare.

The book provides a complete overview of forensic science, AI, and data management in law and business. It reviews the applications of AI and advanced data management methods across various legal and forensic domains. Topics discussed include digital forensics, predictive modelling, automatic classification, anomaly detection, cold case analysis, metadata analysis, and pattern recognition using blockchain technology.The book explores the cutting-edge intersection of fields such as ethical AI in legal systems, forensic science, data privacy, and forensic accounting laws. It examines the ethical implications of integrating computational intelligence including AI and machine learning into legal and judicial systems. The challenges and opportunities of applying AI to decision-making in human rights contexts are analysed, with emphasis on transparency, accountability, and fairness in algorithmic decision-making within legal frameworks.Further, it evaluates the intersection of data privacy and human rights with respect to biometric data collection, discussing the implications of mass surveillance, data harvesting, and profiling on individual privacy and civil liberties. The book also investigates how computational intelligence can be used to analyse large-scale datasets and enhance legal research and decision-making within the framework of human rights and the rule of law.Key Features:Studies the use of AI in criminal scene managementReviews the use of AI in data handlingReviews anomaly detection in companiesEvaluated the use of AI in legal assistanceCovers emotion and sentiment analysis by AI in criminal matters.

Artificial Intelligence (AI) has become a linchpin in modern security strategies, thanks to its ability to process vast amounts of data, identify patterns, and make data-driven predictions. However, this technological surge requires careful examination within legal and ethical frameworks.Security Intelligence in the Age of AI: Navigating Legal and Ethical Frameworks explores the potential of AI technologies in security intelligence and examines the legal framework surrounding their use. Authors in this collected edition address how existing legal frameworks adapt to the intricacies of AI in security intelligence. They advocate for the development of adaptive and forward-looking legal structures and propose recommendations for policymakers to craft legislation that keeps pace with the evolving landscape of AI in the realm of security. This approach is crucial to ensure that technological advancements do not outpace our ability to regulate them effectively.This work serves as a valuable guide for researchers and practitioners interested in leveraging AI technologies to enhance security intelligence. Legal professionals, security practitioners, and policy makers gain insight from contributions from leading scholars in the field of security intelligence and AI applications.

This edited book represents a groundbreaking effort to illustrate how artificial intelligence (AI) shapes the future of agrifood systems in terms of sustainability and resilience. As the global food system faces challenges like climate change, depletion of water and biodiversity and increases in population and consumption, this book is the first comprehensive review of how systems utilizing artificial intelligence can help solve these important challenges. The chapters cover themes from precision farming to crop monitoring, predictive modeling and smart irrigation, offering real-world insights and interdisciplinary perspectives on the transformative potential of AI for agri-tech. This volume brings together contributions from leading experts, researchers and practitioners in agriculture, technology, and policy, illuminating case studies, scalable innovations, and ethical implications. It explores the socio-economic implications of AI adoption in farming communities, emphasizing the need for innovation to be driven by principles of equity and environmental stewardship. This book provides bold visions as well as practical approaches, such as developing and implementing AI tools to craft policy frameworks, to revolutionize agri-food systems for a more sustainable, food-secure future.

In the contemporary automotive manufacturing industry, service providers are continuously working to improve system optimization in order to remain competitive in the market and deliver quality products to satisfy their customers. With this comes the possibility of failure, rejection and reworking of the components or services in the system, which can incur high costs and impact the reputation of an organization. This book uses Failure Mode and Effect Analysis (FMEA) to assess, investigate and predict the Risk Priority Number (RPN) of potential failures for three companies within the manufacturing industry:A metal component supplier in the automotive sectorPart manufacturer for the automobile and engineering industriesManufacturer of suspension components for commercial vehiclesIntegrating human expertise and artificial intelligence on a single platform, the authors use fuzzy logic as a tool to overcome the vagueness associated with traditional methods of assessing potential failures. The book also details the procedure and scales of how to conduct FMEA, offering guidance on how to input and rank each risk within manufacturing processes across a range of sectors's. Each of the three real-world cases offer suggested improvements for the companies themselves, alongside takeaways for researchers and professionals within the fields of manufacturing and supply chain management.

The emergence of global terrorism has led to new, innovative artificial intelligence (AI) and deep learning techniques for effective counterterrorism. This book explores the transformative role of AI and deep learning in combating global terrorism, providing a comprehensive analysis of how these technologies can safeguard nations and societies. It presents strategies for utilizing AI and deep learning in intelligence gathering, predictive analysis, surveillance, and threat detection. The book examines the use of machine learning algorithms to analyze vast amounts of data, identifying patterns and trends to anticipate potential terrorist activities. It highlights how AI-powered systems enhance counterterrorism operations, real-time responses, and decision-making processes. Offering technical insights and practical applications, this book will appeal to students, researchers, and scholars of security studies, international relations, law, and political science, as well as to policymakers, and security professionals interested in a forward-thinking approach to combating terrorism in an interconnected world.

This book shows what happens when classrooms meet climate action and AI meets equality. Bringing together educators, technologists, and policy thinkers, this volume maps how AI, ICT, data, and IoT can advance the UN SDGs—especially SDG 4 (Quality Education), SDG 8 (Decent Work), SDG 10 (Reduced Inequalities), SDG 11 (Sustainable Cities), and SDG 13 (Climate Action). With Generation Beta growing up in hyper-digital environments, the book asks a timely question: how do we design learning that is tech-empowered, human-centered, and planet-positive? Readers will find pragmatic guidance on AI-supported teaching and assessment with clear privacy and ethics guardrails; low-bandwidth, multilingual, offline-first models that narrow divides; studio projects using IoT and digital twins for real urban and climate challenges; routes from micro-credentials to green jobs; and faculty development that scales. We also examine rankings, gender gaps, and research incentives—where they drive excellence and where they distort it. Acknowledging debate around AI in assessment, personalization versus agency, and ed-tech’s carbon footprint, the book offers metrics that matter and a practical roadmap for teachers, leaders, policymakers, funders, and researchers committed to equitable, sustainable learning.

This book covers innovative research topics on Metaverse, Digital Twins and Disease Screening and Precision medicines which represents the convergence of three significant technological trends, each with the potential to impact healthcare on its own. However, when combined, they could establish entirely novel avenues for delivering care, offering the potential to reduce costs significantly and greatly enhance patient outcomes. These trends include telepresence/telemedicine, the digital twin (DT), and blockchain. Telepresence refers to people's capacity to virtually be together despite physical distance. This can be achieved through virtual reality (VR, immersing the user entirely), augmented reality (AR, overlaying artificial images onto a real image), or other methods. Aside from VR and AR, distinguish two other metaverse types: lifelogging (capturing, storing, and sharing everyday experiences and information about objects and people) and the mirror world (reflecting the real world but integrating and providing external environment information). In the healthcare context, telepresence is predominantly utilized in telemedicine, which involves delivering medical services remotely.

The edited volume brings out a comprehensive collection of information relevant to wild food plants, their importance for global sustainable food security, future-readiness, and resilient agriculture.