Bhupinder Singh – författare

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 To successfully compete against the competition, industries are replacing outdated manufacturing techniques with cutting-edge ones that are sustainable in terms of cost, energy usage, better product quality, and environmental safety.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 To successfully compete against the competition, industries are replacing outdated manufacturing techniques with cutting-edge ones that are sustainable in terms of cost, energy usage, better product quality, and environmental safety.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 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:

This reference book is a useful resource for scholars and researchers working on smart healthcare.

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:

This reference book is a useful resource for scholars and researchers working on smart healthcare.

This book focuses on fuzzy logic, a paradigm-shifting approach that challenges the binary simplicity of traditional logic systems. The concept of fuzzy logics is a powerful tool capable of handling imprecise information and accommodating the vagaries of real-world scenarios. This marks the beginning of a journey that explores how fuzzy logics can bridge gaps and fills voids in our current strategies for achieving sustainable development goals relating to sustainable cities. With regard to issues such as water scarcity, energy affordability, and urban sustainability, the traditional linear approaches often fall short in capturing their complex, dynamic, and uncertain nature. Fuzzy logics, with their ability to handle imprecise information and uncertainties, emerge as a promising tool for navigating the intricate web of variables that influence the attainment of these sustainable development goals.

This book bridges the gap between conventional disciplines such as engineering, environmental science, and urban planning by incorporating fuzzy logic ideas into talks on sustainable cities and offers insights into resource allocation strategies that will successfully lead to the intended sustainability goals by using models based on fuzzy logic. It also examines how fuzzy logic adjusts to changing circumstances so that suggested fixes are still applicable in the long run.

This book focuses on fuzzy logic, a paradigm-shifting approach that challenges the binary simplicity of traditional logic systems. The concept of fuzzy logics is a powerful tool capable of handling imprecise information and accommodating the vagaries of real-world scenarios. This marks the beginning of a journey that explores how fuzzy logics can bridge gaps and fills voids in our current strategies for achieving sustainable development goals relating to sustainable cities. With regard to issues such as water scarcity, energy affordability, and urban sustainability, the traditional linear approaches often fall short in capturing their complex, dynamic, and uncertain nature. Fuzzy logics, with their ability to handle imprecise information and uncertainties, emerge as a promising tool for navigating the intricate web of variables that influence the attainment of these sustainable development goals.

This book bridges the gap between conventional disciplines such as engineering, environmental science, and urban planning by incorporating fuzzy logic ideas into talks on sustainable cities and offers insights into resource allocation strategies that will successfully lead to the intended sustainability goals by using models based on fuzzy logic. It also examines how fuzzy logic adjusts to changing circumstances so that suggested fixes are still applicable in the long run.

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:

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: