Anil Kumar – författare

Nanotechnological Aspects for Next-generation Wound Management provides detailed, up-to-date literature on nanotechnology's role in wound management and its applications using nanoparticles, nanocomposites, carbon-based nanostructures and nanomaterials. Scaffolds, three-dimensional approaches, skin tissue engineering, and polymer-based films are discussed to treat wounds. This one-of-a-kind reference is ideal for health practitioners, clinicians and researchers who will find the book to be excellent reference material for updates on recent trends in nanotechnology for wound management. Describes the various nanotechnological approaches for wound management Presents a detailed analysis of the use of artificial intelligence in wound care Discusses the future aspects related to wound healing and wound management

Solar energy has found its widespread use in direct conversion into electricity either by photovoltaic conversion or through thermal energy, reduction in post-harvest losses, and crop drying. Solar Drying Systems analyzes the fundamentals, principles and applications, heat transfer, elements of drying and solar dryer designs, and related modeling and analysis aspects of solar energy. Discusses both technical and policy-related issues Explores up-to-date status reviews of different solar drying systems Reviews the highlights of present and future solar drying options Includes many figures, solved examples, and tables with problems/exercises at the end of each chapterThis book is aimed at senior undergraduate and graduate students in energy engineering.

Energy Management: Conservation and Audit discusses the energy scenario, including energy conservation, management, and audit, along with the methodology supported by industrial examples. Energy economics of systems has been elaborated with concepts of life cycle assessment and costing, and rate of return. Topics such as energy storage, co-generation, and waste heat recovery to energy efficiency have discussed. The challenges faced in conserving energy sources (steam and electricity) have elaborated along with the improvements in the lighting sector. Further, it covers optimization procedures for the development in the industry related to energy conservation. The researchers, senior undergraduate, and graduate students focused on Energy Management, Sustainable Energy, Renewable Energy, Energy Audits, and Energy Conservation. This book covers current information related to energy management and includes energy audit and review all the leading equipment (boilers, CHP, pumps, heat exchangers) as well as procedural frameworks (energy audits, action planning, monitoring). It includes energy production and management from an industrial perspective, along with highlighting the various processes involved in energy conservation and auditing in various sectors and associated methods. It also explores future energy options and directions for energy security and sustainability.

This book covers the state-of-art image classification methods for discrimination of earth objects from remote sensing satellite data with an emphasis on fuzzy machine learning and deep learning algorithms. Both types of algorithms are described in such details that these can be implemented directly for thematic mapping of multiple-class or specific-class landcover from multispectral optical remote sensing data. These algorithms along with multi-date, multi-sensor remote sensing are capable to monitor specific stage (for e.g., phenology of growing crop) of a particular class also included. With these capabilities fuzzy machine learning algorithms have strong applications in areas like crop insurance, forest fire mapping, stubble burning, post disaster damage mapping etc. It also provides details about the temporal indices database using proposed Class Based Sensor Independent (CBSI) approach supported by practical examples. As well, this book addresses other related algorithms based on distance, kernel based as well as spatial information through Markov Random Field (MRF)/Local convolution methods to handle mixed pixels, non-linearity and noisy pixels. Further, this book covers about techniques for quantiative assessment of soft classified fraction outputs from soft classification and supported by in-house developed tool called sub-pixel multi-spectral image classifier (SMIC). It is aimed at graduate, postgraduate, research scholars and working professionals of different branches such as Geoinformation sciences, Geography, Electrical, Electronics and Computer Sciences etc., working in the fields of earth observation and satellite image processing. Learning algorithms discussed in this book may also be useful in other related fields, for example, in medical imaging. Overall, this book aims to: exclusive focus on using large range of fuzzy classification algorithms for remote sensing images; discuss ANN, CNN, RNN, and hybrid learning classifiers application on remote sensing images; describe sub-pixel multi-spectral image classifier tool (SMIC) to support discussed fuzzy and learning algorithms; explain how to assess soft classified outputs as fraction images using fuzzy error matrix (FERM) and its advance versions with FERM tool, Entropy, Correlation Coefficient, Root Mean Square Error and Receiver Operating Characteristic (ROC) methods and; combines explanation of the algorithms with case studies and practical applications.

This book covers the state-of-art image classification methods for discrimination of earth objects from remote sensing satellite data with an emphasis on fuzzy machine learning and deep learning algorithms. Both types of algorithms are described in such details that these can be implemented directly for thematic mapping of multiple-class or specific-class landcover from multispectral optical remote sensing data. These algorithms along with multi-date, multi-sensor remote sensing are capable to monitor specific stage (for e.g., phenology of growing crop) of a particular class also included. With these capabilities fuzzy machine learning algorithms have strong applications in areas like crop insurance, forest fire mapping, stubble burning, post disaster damage mapping etc. It also provides details about the temporal indices database using proposed Class Based Sensor Independent (CBSI) approach supported by practical examples. As well, this book addresses other related algorithms based on distance, kernel based as well as spatial information through Markov Random Field (MRF)/Local convolution methods to handle mixed pixels, non-linearity and noisy pixels. Further, this book covers about techniques for quantiative assessment of soft classified fraction outputs from soft classification and supported by in-house developed tool called sub-pixel multi-spectral image classifier (SMIC). It is aimed at graduate, postgraduate, research scholars and working professionals of different branches such as Geoinformation sciences, Geography, Electrical, Electronics and Computer Sciences etc., working in the fields of earth observation and satellite image processing. Learning algorithms discussed in this book may also be useful in other related fields, for example, in medical imaging. Overall, this book aims to: exclusive focus on using large range of fuzzy classification algorithms for remote sensing images; discuss ANN, CNN, RNN, and hybrid learning classifiers application on remote sensing images; describe sub-pixel multi-spectral image classifier tool (SMIC) to support discussed fuzzy and learning algorithms; explain how to assess soft classified outputs as fraction images using fuzzy error matrix (FERM) and its advance versions with FERM tool, Entropy, Correlation Coefficient, Root Mean Square Error and Receiver Operating Characteristic (ROC) methods and; combines explanation of the algorithms with case studies and practical applications.

Circular-Economy is a new concept in operations management. Its goal is to redefine growth, focusing on positive benefits arising for society as a whole out of efficiencies such as designing waste out the operations process. This book will help practitioners use the proper strategy for effective adoption of Circular practices to use in their organization.Features: Provides a complete understanding of Circular-Economy practices Offers advanced mathematical models to help industry management adopt the correct practices Presents a deep understanding of cross-functional and customer-focused design thinking Covers how to develop sustainable practices in all types of activities within operations management.Circular Economy for the Management of Operations will be of interest to practitioners and researchers in engineering as well as business management

Energy Management: Conservation and Audit discusses the energy scenario, including energy conservation, management, and audit, along with the methodology supported by industrial examples. Energy economics of systems has been elaborated with concepts of life cycle assessment and costing, and rate of return. Topics such as energy storage, co-generation, and waste heat recovery to energy efficiency have discussed. The challenges faced in conserving energy sources (steam and electricity) have elaborated along with the improvements in the lighting sector. Further, it covers optimization procedures for the development in the industry related to energy conservation. The researchers, senior undergraduate, and graduate students focused on Energy Management, Sustainable Energy, Renewable Energy, Energy Audits, and Energy Conservation. This book covers current information related to energy management and includes energy audit and review all the leading equipment (boilers, CHP, pumps, heat exchangers) as well as procedural frameworks (energy audits, action planning, monitoring). It includes energy production and management from an industrial perspective, along with highlighting the various processes involved in energy conservation and auditing in various sectors and associated methods. It also explores future energy options and directions for energy security and sustainability.

Solar energy has found its widespread use in direct conversion into electricity either by photovoltaic conversion or through thermal energy, reduction in post-harvest losses, and crop drying. Solar Drying Systems analyzes the fundamentals, principles and applications, heat transfer, elements of drying and solar dryer designs, and related modeling and analysis aspects of solar energy. Discusses both technical and policy-related issues Explores up-to-date status reviews of different solar drying systems Reviews the highlights of present and future solar drying options Includes many figures, solved examples, and tables with problems/exercises at the end of each chapterThis book is aimed at senior undergraduate and graduate students in energy engineering.

Circular-Economy is a new concept in operations management. Its goal is to redefine growth, focusing on positive benefits arising for society as a whole out of efficiencies such as designing waste out the operations process. This book will help practitioners use the proper strategy for effective adoption of Circular practices to use in their organization.Features: Provides a complete understanding of Circular-Economy practices Offers advanced mathematical models to help industry management adopt the correct practices Presents a deep understanding of cross-functional and customer-focused design thinking Covers how to develop sustainable practices in all types of activities within operations management.Circular Economy for the Management of Operations will be of interest to practitioners and researchers in engineering as well as business management

Sustainable Procurement is an emerging concept in supply chain and operations management. Manufacturing industries have made improvements in moving from cost-based to quality-based, and customer-focused supply chain management strategies. This is becoming an integrated component in the supply chain system, with players becoming aware of the regulations and needs of the customer. It is imperative for production firms to look at the procurement activity as one of the strategic enablers for sustaining the business in the competitive global environment. This book will provide industries with an understanding of the concepts related to sustainable procurement policies and its implementation. Provides decision and theory development models in sustainable procurement supply chainsIncludes contributions in all three major analytics: descriptive, predictive, and perspectives in the context of sustainable procurement supply chainDiscusses new business models with suppliers and opportunities for co-brandingCovers how to develop new tools to measure and allocate the gains from sustainable practices among stakeholdersAnalyses the science of translating data into meaningful and actionable insights

Technological Pathways for Africa's Net-Zero Economy: Technology Solutions to Unlock Africa’s Sustainable Future explores the potential of African countries to transition towards a net-zero economy. It highlights sustainable development challenges and opportunities Africa faces and provides insights on technological pathways toward this goal. The book emphasizes the importance of harnessing renewable energy resources, promoting green innovation, and building resilient infrastructure for a sustainable future. It calls for strong policy frameworks and international collaboration to support African countries in their transition. The book outlines seven scenarios supporting Africa's technological paths to a net-zero economy: leapfrogging, hybridization, adaptation, decentralization, sustainable development, promotion, and finance.These scenarios aim to adopt innovative technologies and strategies to reduce greenhouse gas emissions. Investing in education and capacity-building programs is crucial for African countries to effectively implement sustainable energy solutions, so the book also highlights the role of education and awareness in fostering a culture of sustainability among African communities and empowering them to actively participate in climate action initiatives.Takes into account the unique socioeconomic and environmental context of Africa, which is crucial for developing tailored strategies and solutions that are suitable for the continentOffers practical insights and recommendations for policymakers, businesses, and individuals to navigate the challenges and opportunities of transitioning to a sustainable futureHighlights successful case studies from other regions that can serve as inspiration and learning points for Africa's journey towards a net-zero economy

Industry 5.0 Leveraging Technologies: Net Zero Pathways Through Sustainable Approaches offers an important combination of Industry 5.0 innovations with net-zero approaches. The book illustrates how this synergy can drive sustainable growth and create a lasting positive impact on both the economy and the environment. Readers will find topics on AI, IoT, and advanced manufacturing, with much emphasis on strategies related to carbon reduction and climate change. By highlighting emerging trends and challenges, this resource equips readers with the knowledge to navigate the evolving landscape of Industry 5.0.Covers transformative innovations such as artificial intelligence (AI), the Internet of Things (IoT), robotics, and blockchain, detailing how these technologies can enhance efficiency and sustainabilityOffers practical insights and strategies for implementing smart manufacturing, decarbonizing supply chains, and adopting circular economy modelsProvides real-world case studies that illustrate the successful integration of Industry 5.0 technologies with sustainability goals

This book takes an interdisciplinary approach by covering topics on health care and artificial intelligence. Data sets related to biomedical signals (ECG, EEG, EMG) and images (X-rays, MRI, CT) are explored, analyzed, and processed through different computation intelligence methods. Applications of computational intelligence techniques like artificial and deep neural networks, swarm optimization, expert systems, decision support systems, clustering, and classification techniques on medial datasets are explained. Survey of medical signals, medial images, and computation intelligence methods are also provided in this book.Key FeaturesCovers computational Intelligence techniques like artificial neural networks, deep neural networks, and optimization algorithms for Healthcare systemsProvides easy understanding for concepts like signal and image filtering techniques Includes discussion over data preprocessing and classification problems Details studies with medical signal (ECG, EEG, EMG) and image (X-ray, FMRI, CT) datasets Describes evolution parameters such as accuracy, precision, and recall etc. This book is aimed at researchers and graduate students in medical signal and image processing, machine and deep learning, and healthcare technologies.

This book takes an interdisciplinary approach by covering topics on health care and artificial intelligence. Data sets related to biomedical signals (ECG, EEG, EMG) and images (X-rays, MRI, CT) are explored, analyzed, and processed through different computation intelligence methods. Applications of computational intelligence techniques like artificial and deep neural networks, swarm optimization, expert systems, decision support systems, clustering, and classification techniques on medial datasets are explained. Survey of medical signals, medial images, and computation intelligence methods are also provided in this book.Key FeaturesCovers computational Intelligence techniques like artificial neural networks, deep neural networks, and optimization algorithms for Healthcare systemsProvides easy understanding for concepts like signal and image filtering techniques Includes discussion over data preprocessing and classification problems Details studies with medical signal (ECG, EEG, EMG) and image (X-ray, FMRI, CT) datasets Describes evolution parameters such as accuracy, precision, and recall etc. This book is aimed at researchers and graduate students in medical signal and image processing, machine and deep learning, and healthcare technologies.

The book has covered recent techniques on bio-intensive integrated approaches of horticultural pest’s management. An attempt to compile information on non-chemical ways of pest management strategies including agronomic approaches to physical, mechanical, biopesticides, biocontrol agents, biorational pesticides etc. which are non harmful to environment and economically viable has been made. This book is a useful reference material for organic product producing farmers, researchers and students who are involved in bio-intensive pest management strategies.Note: T& F does not sell or distribute the hardback in India, Pakistan, Nepal, Bhutan, Bangladesh and Sri Lanka. This title is co-published with NIPA.

Algorithim (mathematics) helps in understanding the direct and indirect relationship of plants that exist within it and other environmental factors. This book helps to understand how yield is related to different growth parameters, how growth is influenced by different environmental phenomenon, how best the resources can be used for crop production, etc. The numerical examples in the book guide a student to coordinate the different parameters and understand the subject of Agronomy well. This book is divided into thirteen chapters and covers comprehensively the different agronomic aspects to understand the science of mathematical Agronomy to meet the current and future challenges related to cropping practices.Note: Taylor and Francis does not sell or distribute the print editions of this title in India, Pakistan, Nepal, Bhutan, Bangladesh and Sri Lanka.

Algorithim (mathematics) helps in understanding the direct and indirect relationship of plants that exist within it and other environmental factors. This book helps to understand how yield is related to different growth parameters, how growth is influenced by different environmental phenomenon, how best the resources can be used for crop production, etc. The numerical examples in the book guide a student to coordinate the different parameters and understand the subject of Agronomy well. This book is divided into thirteen chapters and covers comprehensively the different agronomic aspects to understand the science of mathematical Agronomy to meet the current and future challenges related to cropping practices.Note: Taylor and Francis does not sell or distribute the print editions of this title in India, Pakistan, Nepal, Bhutan, Bangladesh and Sri Lanka.

This book elaborates fuzzy machine and deep learning models for single class mapping from multi-sensor, multi-temporal remote sensing images while handling mixed pixels and noise. It also covers the ways of pre-processing and spectral dimensionality reduction of temporal data. Further, it discusses the ‘individual sample as mean’ training approach to handle heterogeneity within a class. The appendix section of the book includes case studies such as mapping crop type, forest species, and stubble burnt paddy fields.Key features:Focuses on use of multi-sensor, multi-temporal data while handling spectral overlap between classesDiscusses range of fuzzy/deep learning models capable to extract specific single class and separates noiseDescribes pre-processing while using spectral, textural, CBSI indices, and back scatter coefficient/Radar Vegetation Index (RVI) Discusses the role of training data to handle the heterogeneity within a classSupports multi-sensor and multi-temporal data processing through in-house SMIC softwareIncludes case studies and practical applications for single class mappingThis book is intended for graduate/postgraduate students, research scholars, and professionals working in environmental, geography, computer sciences, remote sensing, geoinformatics, forestry, agriculture, post-disaster, urban transition studies, and other related areas.

This book elaborates fuzzy machine and deep learning models for single class mapping from multi-sensor, multi-temporal remote sensing images while handling mixed pixels and noise. It also covers the ways of pre-processing and spectral dimensionality reduction of temporal data. Further, it discusses the ‘individual sample as mean’ training approach to handle heterogeneity within a class. The appendix section of the book includes case studies such as mapping crop type, forest species, and stubble burnt paddy fields.Key features:Focuses on use of multi-sensor, multi-temporal data while handling spectral overlap between classesDiscusses range of fuzzy/deep learning models capable to extract specific single class and separates noiseDescribes pre-processing while using spectral, textural, CBSI indices, and back scatter coefficient/Radar Vegetation Index (RVI) Discusses the role of training data to handle the heterogeneity within a classSupports multi-sensor and multi-temporal data processing through in-house SMIC softwareIncludes case studies and practical applications for single class mappingThis book is intended for graduate/postgraduate students, research scholars, and professionals working in environmental, geography, computer sciences, remote sensing, geoinformatics, forestry, agriculture, post-disaster, urban transition studies, and other related areas.

Nanomaterials have rapidly emerged as a revolutionary tool across diverse fields including modern agriculture. The properties of nanomaterials, such as size in nanometres, high surface area-to-volume ratio, offering innovative solutions to enables nutrient uptake and targeted and efficient release to tissues to aid in enhancing nutrient assimilation and metabolism. These formulations enhance crop productivity, resilience to climatic change, disease management, and stress tolerance. This book provides a comprehensive and up-to-date elucidation of nanomaterials in sustainable agricultural with a strong emphasis on green synthesis approaches and their applications. The distinguishing feature of this book lies in its integrative action, plant–nanomaterial interactions, uptake and translocation, and plant responses at cellular, physiological, and biochemical levels. By combining mechanistic insights with applied perspectives, the book bridges fundamental research and field-level applications, offering a holistic understanding of advancements in the delivery system of nano-fertilizers and the significance of nanomaterials in plant growth, development, and stress tolerance.Key Features:Current status of nanomaterials in agricultural systemGreen synthesis routes and strategies for characterization of nanomaterialsUptake, translocation, and interaction with plant tissuesImpact of nanomaterials on plant growth, development, and physiologySignificance of nanomaterials in mitigating biotic and abiotic stressesRecent advances and application in nano-enabled delivery systemsPhytotoxicity, biosafety, and risk assessment of agricultural nanomaterialsThis book is anticipated for postgraduate students, academicians, researchers, and professionals in field of agriculture, plant sciences, plant stress management, and environmental biotechnology. It will also serve as a valuable reference for industry partners seeking sustainable and safe nanotechnology-based agricultural solutions.

The book explores the intricate nexus between biometric systems and the need for preserving data integrity as well as security needed during the data communication. It offers a systematic and insightful journey through the multifaceted landscape of biometrics, emphasizing the development of resilient systems and the judicious preservation of critical data.The book starts with introduction to biometric systems, unravelling the intricacies of various authentication methods and technologies. Delving into the principles of robust biometric authentication, the authors elucidate cutting-edge techniques designed to withstand evolving security challenges. It then addresses the pivotal role of data preservation in the context of biometric systems and security system from encryption methodologies that fortify the security of biometric data to innovative approaches in data security and preservation, each chapter delves into the nuanced intricacies of maintaining data integrity. The authors navigate through the challenges associated with biometric data storage and propose solutions that align with contemporary technological advancements. The integration of case studies, practical examples, and real-world applications enhances the reader's understanding, fostering a hands-on approach to the implementation of robust biometric systems. The concluding chapters review the future of biometric systems, exploring emerging trends and potential advancements on the horizon. The book strikes a balance between theoretical concepts and practical considerations, making it an indispensable resource for those seeking a holistic understanding of biometric systems and efficient data preservation.The content caters to a diverse audience, including researchers, practitioners, and students interested in biometrics, data security, IoT based security system design.

This book presents a holistic scientific approach to addressing current and future challenges in the sustainable management of land and water resources, supported by geospatial and hydrological modelling. It explores remote sensing integrated with hydrological modelling for watershed management, land and water resource planning, soil erosion and sediment transport studies using satellite data, and climate change impact assessments on land and water systems all illustrated through case studies. Focuses on both geospatial and hydrological modelling for effective land and water resource management Covers topics including Google Earth Engine, forest land management, coastal land issues, geo-hydrology, and salinity problems Discusses Intergovernmental Panel on Climate Change (IPCC) guidelines for water resource management Incorporates big data and machine learning applications in water resource management Reviews digital image processing techniques applied to satellite dataThis book is intended for researchers and professionals in hydrological engineering, geospatial technologies, and environmental engineering.

This timely Handbook demonstrates how AI can be used to create circular economies with the goal of reducing waste, reusing waste products and protecting the planet. Leading scholars from across the globe highlight the potential of circular economies to transform operational approaches, moving beyond the traditional and unsustainable ’take-make-dispose’ model.Through extensive research and case studies, this Handbook illustrates how AI can facilitate the shift to a circular economy by optimizing a decision-making framework that results in better choices, more efficient processes and streamlined outcomes. By adopting interdisciplinary perspectives which draw on sustainability, operations and ethics studies, contributing authors analyze the benefits of AI in key areas, including healthcare, supply chains, marketing, product design and manufacturing. Ultimately, this Handbook outlines how AI can reduce the complexity of circular transitions to accelerate systemic, cross-sector change.The Handbook on Artificial Intelligence and the Circular Economy is a valuable resource for scholars and students of environmental policy, environmental economics, technology management, industrial engineering and human geography. It is also useful for policy-makers, business managers and operations and supply chain management professionals interested in the practical applications of AI to enhance sustainability.

This book captures the proceedings of the International Conference on Advancement in Engineering and Science: Recent Trends and Applications, held at the Karmaveer Bhaurao Patil College of Engineering, Satara, Maharashtra, India. It highlights the synergy between theoretical research and practical applications to address pressing global and societal needs.The book looks into a diverse range of technical domains, providing in-depth coverage of artificial intelligence, automation, energy systems, materials science, and environmental engineering. Key findings emphasize the role of emerging technologies in fostering sustainable development and bridging the gap between academic theory and industrial practice. Through a collection of peer-reviewed papers, the volume explores groundbreaking advancements in smart manufacturing, renewable energy solutions, and computational modeling. It illustrates how cross-disciplinary collaboration can lead to pioneering solutions for complex infrastructure and technological challenges, offering readers a roadmap of current trends and future directions in the global scientific landscape.This volume is intended for a broad audience of researchers, academicians, and industry professionals seeking to update their knowledge of modern engineering trends. It is equally valuable for postgraduate students and policymakers interested in the practical translation of scientific research into sustainable, real-world innovations.

This book captures the proceedings of the International Conference on Advancement in Engineering and Science: Recent Trends and Applications, held at the Karmaveer Bhaurao Patil College of Engineering, Satara, Maharashtra, India. It highlights the synergy between theoretical research and practical applications to address pressing global and societal needs.The book looks into a diverse range of technical domains, providing in-depth coverage of artificial intelligence, automation, energy systems, materials science, and environmental engineering. Key findings emphasize the role of emerging technologies in fostering sustainable development and bridging the gap between academic theory and industrial practice. Through a collection of peer-reviewed papers, the volume explores groundbreaking advancements in smart manufacturing, renewable energy solutions, and computational modeling. It illustrates how cross-disciplinary collaboration can lead to pioneering solutions for complex infrastructure and technological challenges, offering readers a roadmap of current trends and future directions in the global scientific landscape.This volume is intended for a broad audience of researchers, academicians, and industry professionals seeking to update their knowledge of modern engineering trends. It is equally valuable for postgraduate students and policymakers interested in the practical translation of scientific research into sustainable, real-world innovations.

Transition-Metal-Catalyzed C-H Functionalization of Heterocycles A comprehensive guide to recent advances in this field Constituting the majority of all known compounds, heterocycles are structures that incorporate one or more heteroatoms within their core, thus exhibiting properties that are quite different from their all-carbon analogs. They are fundamental to all fields of chemistry and, therefore, their synthesis and modification has attracted a great deal of attention in the recent years. In this vein, transition-metal-catalyzed C-H bond functionalization forms a crucial tool for generating and analyzing heterocyclic compounds. Transition-Metal-Catalyzed C-H Functionalization of Heterocycles, Two-Volume Set, showcases diverse C-H functionalization methodologies and their incorporation into the latest research. The chapters serve as an essential tool depicting detailed site-selective functionalization of heterocyclic cores, along with a comprehensive discussion on their mechanistic approaches. Readers of Transition-Metal-Catalyzed C-H Functionalization of Heterocycles, Two-Volume-Set will also find: A detailed introduction to C-H activation along with the mechanistic aspects of transition-metal-catalyzed C-H bond activation reactionsEasy-to-use structures with each chapter dedicated to a type of heterocycle and its specific functionalization methodologiesA leading team of international authors in C-H bond functionalizationTransition-Metal-Catalyzed C-H Functionalization of Heterocycles, Two-Volume-Set is a valuable guide for students and researchers in organic synthesis and process development, in both academic and industrial contexts.

Health Economics and Financing Encapsulates different case studies where green-IOT and machine learning can be used for making significant progress towards improvising the quality of life and sustainable environment. The Internet of Things (IoT) is an evolving idea which is responsible for connecting billions of devices that acquire, perceive, and communicate data from their surroundings. Because this transmission of data uses significant energy, improving energy efficiency in IOT devices is a significant topic for research. The green internet of things (G-IoT) makes it possible for IoT devices to use less energy since intelligent processing and analysis are fundamental to constructing smart IOT applications with large data sets. Machine learning (ML) algorithms that can predict sustainable energy consumption can be used to prepare guidelines to make IoT device implementation easier. Green Internet of Things and Machine Learning lays the foundation of in-depth analysis of principles of Green-Internet of Things (G-IoT) using machine learning. It outlines various green ICT technologies, explores the potential towards diverse real-time areas, as well as highlighting various challenges and obstacles towards the implementation of G-IoT in the real world. Also, this book provides insights on how the machine learning and green IOT will impact various applications: It covers the Green-IOT and ML-based smart computing, ML techniques for reducing energy consumption in IOT devices, case studies of G-IOT and ML in the agricultural field, smart farming, smart transportation, banking industry and healthcare. Audience The book will be helpful for research scholars and researchers in the fields of computer science and engineering, information technology, electronics and electrical engineering. Industry experts, particularly in R&D divisions, can use this book as their problem-solving guide.

Sustainable Procurement is an emerging concept in supply chain and operations management. Manufacturing industries have made improvements in moving from cost-based to quality-based, and customer-focused supply chain management strategies. This is becoming an integrated component in the supply chain system, with players becoming aware of the regulations and needs of the customer. It is imperative for production firms to look at the procurement activity as one of the strategic enablers for sustaining the business in the competitive global environment. This book will provide industries with an understanding of the concepts related to sustainable procurement policies and its implementation. Provides decision and theory development models in sustainable procurement supply chainsIncludes contributions in all three major analytics: descriptive, predictive, and perspectives in the context of sustainable procurement supply chainDiscusses new business models with suppliers and opportunities for co-brandingCovers how to develop new tools to measure and allocate the gains from sustainable practices among stakeholdersAnalyses the science of translating data into meaningful and actionable insights