Bøger udgivet af CRC Press

Since the development of the first clinical MRI contrast agent, Gd(DTPA) (or Magnevist(R)) in the early 1980s, another three linear and three macrocyclic (eg. Gd(DOTA) (Dotarem(R)) have been introduced in the clinic and inspired a huge number of researchers worldwide to perform preclinical research to obtain contrast agents for many kinds of clinical applications, which are described in this book. The most current research has been assembled here and can be used by the scientific community to continue increasing the relevance of metal-containing molecules and nanomaterials for MRI-based diagnosis and thus increase the practical use of these systems. Presents the importance of metal-containing molecules and nanomaterials for MRI-based diagnosis and the practical use of these systems. Discusses the structure and dynamics of Ln-based contrast agents as well as computational studies related to these agents. Endorses and stimulates research in the vibrant field of biological inorganic chemistry. Reviews the most current research supporting the relevance of metal-containing molecules and nanomaterials for diagnosis and therapy. The authors are preeminent bioinorganic and medicinal inorganic chemists and review the most current research in this field.

The first in an ongoing series designed to take readers from zero experience to writing their own video games and interactive digital experiences using industry standard languages and tools, this book is a great way to turn a love of video games into a new love of programming. It teaches the coding ins-and-outs of how we keep track of high scores, what video game heroes and loot boxes are made of, how the dreaded RNG or, random number generation works, and much, much more.But coding books are technical, boring, and scary, aren't they? Not this one. Within these pages readers will find a fun and approachable adventure that will introduce them to the essential programming fundamentals like variables, computer-based math operations, random number generation, logic structures including if-statements and loops, and even some object-oriented programming. Using Visual Studio and C#, readers will write simple, but effective console programs and text-based games that will gradually build up their coding skills and confidence. Packed with practical examples and plain-language explanations, this book is structured like a video game, complete with levels to progress through, bonus levels for extra practice, cutscenes that offer breaks from coding, and end-of-level code rewards to illustrate how everything fits together.Engaging and concise, this book is appealing to both a general readership as well as course convenors and students of programming. Put on a cap of +5 courage and level up by joining the coding adventure that awaits inside!

River Flow 2022 includes the keynote lecture and contributed papers presented at River Flow 2022, the 11th International Conference on Fluvial Hydraulics (8-10 November 2022, Kingston and Ottawa, Canada; held virtually).River Flow 2022 provides an overview of the latest experimental, theoretical and computational findings on fundamental river flow and transport processes, river morphology and morphodynamics, while covering also issues related to the effects of hydraulic structures on flow regime, river morphology and ecology; sustainable river engineering practices (including stream restoration and re-naturalization); and effects of climate change including extreme flood events. The book presents the state-of-the-art in river research and engineering, and is aimed at academics and practitioners in hydraulics, hydrology and environmental engineering.

Unsaturated soil is a three-phase material that is ubiquitous on the Earth's surface and exhibits complex behaviour, which becomes more complex in response to the Earth's changing climate and increasing engineering activities. This is because the former affects its moisture and temperature conditions significantly and the latter governs its stress state and suction condition. This book is designed to meet the increasing challenges of climate change and engineering activities by covering the mechanics and engineering of unsaturated soil in a logical manner. It comprises four major parts: (1) water retention and flow characteristics;(2) shear strength and stiffness at various temperatures;(3) state-dependent elasto-plastic constitutive modelling; and(4) field monitoring and engineering applications.This second edition uniquely covers fundamental topics on unsaturated soil that are not covered in other similar books, including: the state-dependency of soil-water retention behaviour and water permeability functions, such as dependence on engineering activities; small strain stiffness considering the influence of wetting-drying cycles and recent suction history, such as that due to climate change; suction effects on dilatancy and peak shear strength; cyclic thermal effects on soil behaviour; state-dependent elastoplastic constitutive modelling of monotonic and cyclic behaviour; and engineering applications such as the South-to-North Water Transfer Project; an earthen landfill cover system devoid of geomembrane in the Xiaping landfill, Shenzhen; and a 15-m-deep multi-propped excavation in Tianjian, China.

Our current food system faces challenges across the board - from ensuring food security and reducing environmental impact to managing costs and minimizing waste. Fortunately, cutting-edge food processing technologies play a critical role in paving the way for a more sustainable future. Taking a two-track approach, Future Crops and Processing Technologies for Sustainability and Nutritional Security presents sustainable technologies and emerging crops that are capable of ensuring nutritional security. There are various crops that are nutritious, but under-utilized. Crops covered are those that are climate resilient and exhibit less use of water and zero discharge to environment, such as millets, legumes like chickpea, groundnuts, and pigeon pea.This book also provides information on all aspects related to the processing and use of sustainable technologies and crops. The use of novel technologies like, 3D printing, novel drying method, high pressure processing, high voltage treatments and proper combination of conventional methods are addressed.Key Features: Provides a comprehensive literature review on the opportunities and challenges in achieving sustainability and nutritional security. Presents compatible, relevant crops to address both sustainability and nutritional security. Discusses the emerging on technologies/crops/food products to justify sustainability and potential to ensure nutritional security.

A working understanding of materials principles is essential in every area of engineering. However, the materials requirements of different engineering disciplines can vary considerably. Existing introductory textbooks on engineering materials adopt a universalist approach, providing theoretical development and surveying a landscape of topics suitable for introducing materials engineers to their field. Materials for Engineers: Principles and Applications for Non-Majors has been constructed with the requirements of non-materials engineering students ("non-majors") in mind. The theoretical foundations of material structure and behavior are curated and focused, and the description of the behavior of materials as they pertain to performance, measurement, and design are developed in detail.The book: - Places applications and essential measurement methods before detailed theory- Features a variety of types end of chapter exercises, including forum discussion topics for online course components- Emphasizes computer-based problem solving and includes numerous examples and exercises for MATLAB- Includes optional "topic" chapters for course customization, including structures, transportation, and electronics- Outlines practical details of how and why knowledge of materials is necessary for engineers, including the various roles that materials engineers play and the impact of materials on cost, lifespan, and safety of components and productThis textbook is aimed at undergraduate engineering students taking their first materials engineering course. It can also be used by professional engineers interested in a ready reference.A solutions manual, lecture slides, and example data sets are available for adopting professors.

For six decades, scientists and researchers have relied on the Advances in Chromatography series for the most up-to date information on a wide range of developments in chromatographic methods and applications. The clear presentation of topics and vivid illustrations for which this series has become known makes the material accessible and engaging to analytical, biochemical, organic, polymer, and pharmaceutical chemists at all levels of technical skill.Key Features:Discusses the basic concepts of affinity chromatography and examines recent developments in this method and related supramolecular separation methods. Outlines the different types of gradient stationary phases and how they have been used in and benefited the field of separation science. Reviews recent trends in detectors for GC, focusing on those that are readily available and seeing wide usage. Addresses peak compression in GELC and offers the reader a plate height equation to work with that incorporates its effects.

This book demonstrates the capabilities of passive microwave technique for enhanced observations of ocean features, including the detection of (sub)surface events and/or disturbances while laying out the benefits and boundaries of these methods. It represents not only an introduction and complete description of the main principles of ocean microwave radiometry and imagery, but also provides guidance for further experimental studies. Furthermore, it expands the analysis of remote sensing methods, models, and techniques and focuses on a high-resolution multiband imaging observation concept. Such an advanced approach provides readers with a new level of geophysical information and data acquisition granting the opportunity to improve their expertise on advanced microwave technology, now an indispensable tool for diagnostics of ocean phenomena and disturbances.

This book focuses on the mechanisms of how laser light is produced, guided, and focused for materials processing, explained in easily understandable language for practical use. It emphasizes a basic understanding of the principles necessary to run lasers in a safe and efficient way and provides information for quick access to laser materials processing for laser users.- Provides simple explanations and descriptions of complex laser material interaction mechanisms to help readers understand relevant effects during laser beam irradiation of materials.- Explains the main high-power laser materials processing methods, giving hints to get started with the processing and how to avoid imperfections.- Focuses on high-power laser applications that are explained in an accessible, descriptive way with practical explanations and minimal formulas.- Teaches how to measure laser beam characteristics and how to install and handle laser equipment correctly.- Gives practical advice on typical equipment arrangements and parameter ranges.This practical handbook serves as a guide for students studying production technologies to learn about laser processes and for engineers that want to start safely and quickly working with laser processes.

This book introduces the principles and theories of fatigue statistics and presents the Zhentong Gao method along with its practical applications.Fatigue in metal components is a complex phenomenon and an important issue because the fatigue life of key components often determines the overall lifespan of the aircraft. The book provides an overview and analysis of existing fatigue life calculation and estimation methods, including probability statistical methods such as using Gaussian distribution, logarithmic Gaussian distribution, and Weibull distribution to fit actual data. However, the authors argue that these methods have limitations in terms of reliability and applicability. They point out that the location parameter of the Weibull distribution represents a safe life with 100% reliability. Based on these methods, the book proposes the intelligent Zhentong Gao method, which differs from traditional approaches and effectively addresses and solves the problem of estimating the three parameters of Weibull distribution.This title will serve as a valuable reference for researchers, senior undergraduate and graduate students, and engineers in the fields of aerospace, automotive, mechanical, civil engineering, etc.

This essential guide encompasses over 160 pivotal papers critical for doctors preparing for postgraduate exams in intensive care, interviews, or commencing an intensive care rotation. Chosen for their educational merit and significant influence on Intensive Care Medicine, these key trials, studies, and meta-analyses are distilled into succinct, easy-to-read summaries.The guide steers clear of intricate numerical details and statistical analyses, concentrating instead on the core information necessary to comprehend the significance of these influential papers. Tailored specifically for the OSCE and SOE components of exams like the Final FFICM and EDIC, it provides concise summaries and key results, focusing on the most crucial information for exam success.Serving as a resource that underpins the evidence base of contemporary intensive care clinical practice, these summaries are an indispensable tool for both exam preparation and ongoing professional development in Intensive Care Medicine.

This book examines the latest developments in the area of soft computing with engineering applications. It explores topics such as fuzzy sets, intuitionistic fuzzy sets, unmanned aerial vehicles, soft sets, neutrosophic sets, fractional calculus, big data analytics, and the mathematical foundations of convolutional neural network (CNNs).Soft Computing: Engineering Applications offers readers a comprehensive and in-depth understanding of various cutting-edge technologies that are transforming industries worldwide. The book explores soft computing techniques in a very systematic manner. It elucidates the concepts, theories, and applications of fuzzy sets, enabling readers to grasp the fundamentals and explore their applications in various fields. It provides new insight into unmanned aerial vehicle applications to fuzzy soft set based decision making. It then discusses new fixed point results in orthogonal neutrosophic generalized metric spaces and explores statistical convergence of triple sequences in a credibility space. The authors then provide readers with a solid grasp of the mathematical underpinnings of CNNs, enabling them to design, train, and optimize neural networks for image recognition, object detection, and other computer vision tasks. The authors also present new studies in fractional calculus and explores advanced visualization algorithms and techniques for big data analytics.Soft Computing will be useful for beginners and advanced researchers in engineering, applied sciences and healthcare professionals working in soft computing applications.

This book describes the path of women entrepreneurs who manage sustainable enterprises and delves into the issues that women entrepreneurs encounter along with the steps they are taking to overcome these obstacles. It also addresses the scaffolding provided by liminal digital spaces to the sustainable business models run by women entrepreneurs, as well as how organizations can profit from utilizing digital spaces to improve their operations.Women Entrepreneurs: Building Sustainable Business Models in Digital Spaces, Case Studies, and Experiences presents aspiring entrepreneurs, sustainable businesses, government stakeholders, and financial and funding prospects in Society 5.0. The book provides insights into prominent women entrepreneurs in the global economy and creates a bridge between innovation and liminal digital spaces. It offers real-life cases diving into the journey of entrepreneurs being job creators highlighting the urgent need for sustainable and innovative company practices and presents a comprehensive strategy for a circular economy.Whether you are an entrepreneur, a policymaker, a researcher, or simply someone interested in the subject, this book offers an opportunity to understand and promote the growth and empowerment of women entrepreneurs in the digital age.

Python's simplicity and versatility make it an ideal language for both beginners and experienced programmers. Its syntax facilitates a smooth learning curve, enabling individuals to concentrate on grasping programming concepts instead of wrestling with intricate syntax rules. The extensive standard library reinforces its practicality, offering pre-built modules and functions that reduce manual coding efforts. Python's versatility is evident in its applications, spanning web development, data analysis, machine learning, and automation. The language's interactive nature supports real-time code experimentation, stepping up the learning process and enhancing understanding. Python's wealth of online resources further enriches the learning experience, fostering a community where individuals can develop their programming skills. The book, "Python - A Practical Learning Approach," exemplifies Python's simplicity and versatility with numerous examples, ensuring a seamless learning journey. Beyond theory, the language's practicality allows learners to actively apply their knowledge in real-world scenarios, establishing Python as an asset in education.

What sets this book apart is the modeling aspects utilizing numerical analysis (methods) to obtain solutions. The authors cover the basic numerical analysis methods first with simple examples to illustrate the techniques and discuss possible errors. The modeling prospective reveals the practical relevance of the numerical methods in context to real world problems.At the core of this text are the real-world modeling projects. Chapters are introduced and techniques are discussed with common examples. A modeling scenario is introduced that will be solved with these techniques later in the chapter. Often the modeling problems require more than one previously covered technique presented in the book.Fundamental exercises to practice the techniques are included. Multiple modeling scenarios per numerical methods illustrate the applications of the techniques introduced. Each chapter has several modeling examples that are solved by the methods described within the chapter.The use of technology is instrumental in numerical analysis and numerical methods. In our text, we illustrate MAPLE, EXCEL, R, and Python. Our goal is not to teach technology but illustrate its power and limitations to perform algorithms and reach conclusions.This book fulfills a need in the education of all students who plan to use technology to solve problems whether using physical models or true creative mathematical modeling, like discrete dynamical systems.

With the emergence of the Data Economy, information has become integral to business excellence. Every enterprise, irrespective of its domain of interest, carries and processes a lot of data in their day-to-day activities. Converting massive datasets into insightful information plays an important role in developing better business solutions. Data intelligence and its analysis pose several challenges in data representation, building knowledge systems, issue resolution and predictive systems for trend analysis and decision making. The data available could be of any modality, especially when data is associated with healthcare, biomedical, finance, retail, cyber security, networking, supply chain management, manufacturing and so on. Optimization of such systems is therefore crucial to leveraging the best outcomes and conclusions. To this end, AI-based nature inspired optimization methods or approximation-based optimization methods are becoming very powerful. Notable metaheuristics include Genetic Algorithms, Differential Evolution, Ant Colony Optimization, Particle Swarm Optimization, Artificial Bee Colony, Grey Wolf Optimizer, Political Optimizer, Cohort Intelligence, League Championship Algorithm, and many more. This book provides a systematic discussion of AI-based Metaheuristics application in a wide range of areas including Big Data Intelligence, Predictive Analytics, Enterprise Analytics, Graph Optimization Algorithms, Machine Learning and Ensemble Learning, Computer Vision Enterprise Practices, Data Benchmarking and more.

With its flexible capabilities and open-source platform, R has become a major tool for analyzing detailed, high-quality baseball data. Analyzing Baseball Data with R provides an introduction to R for sabermetricians, baseball enthusiasts, and students interested in exploring the rich sources of baseball data. It equips readers with the necessary skills and software tools to perform all of the analysis steps, from gathering the datasets and entering them in a convenient format to visualizing the data via graphs to performing a statistical analysis.The authors first present an overview of publicly available baseball datasets and a gentle introduction to the type of data structures and exploratory and data management capabilities of R. They also cover the traditional graphics functions in the base package and introduce more sophisticated graphical displays available through the lattice and ggplot2 packages. Much of the book illustrates the use of R through popular sabermetrics topics, including the Pythagorean formula, runs expectancy, career trajectories, simulation of games and seasons, patterns of streaky behavior of players, and fielding measures. Each chapter contains exercises that encourage readers to perform their own analyses using R. All of the datasets and R code used in the text are available online.This book helps readers answer questions about baseball teams, players, and strategy using large, publically available datasets. It offers detailed instructions on downloading the datasets and putting them into formats that simplify data exploration and analysis. Through the book's various examples, readers will learn about modern sabermetrics and be able to conduct their own baseball analyses.

Qanats and Historic Structures in Persia presents the early history of water science and includes the advanced knowledge held by Persians regarding the hydrologic cycle in general and groundwater flow in particular. It explains how the Persians understood the sources of rivers, streams, springs and groundwater, at least seven centuries before it was known to western scholars, and how their use of underground water tunnels allowed them to transform deserts into centers of civilization and food production for thousands of years. It also presents an overview of ancient canals, weir bridges, dams, water storage structures, and water dividers constructed to supply water for irrigation and domestic needs. Presents numerous examples of how qanats are used throughout the world, including the Middle East, Africa, Asia, Europe, and South America. Includes descriptions and photographs of historic structures, some of which are still operational after hundreds of years. Written in an accessible and informative way, the book contains neither equations nor rigorous technical material. Examines the renowned scholars of the late ninth through twelfth centuries, namely the Persian Golden Era.

The Mathematics of Thermal Modeling 2nd Edition provides an introduction to the basics of the mathematics and physics needed to understand and use the physical principles employed in constructing models of a number of aspects of thermal modeling in industrial processes, notably laser welding; most of the techniques are applicable to many other technological processes, however. The book demonstrates how insight can be gained from mathematical enquiry at a simple level and helps workers understand the way in which more sophisticated models can be constructed. Some necessary but less familiar mathematical techniques are explained in greater detail than before and some discussion of wave-like features in welds is now included. An understanding will be gained of the importance of studying the interaction of multiple features.The book is equally suitable for engineers and material scientists at the Masters or first year PhD level at university, to similar students with a background in mathematics or physics who are new to laser or industrial technology, or for research workers coming to mathematical modeling of industrial thermal processes for the first time, whatever stage they have reached in their career development.

Cognitive Machine Intelligence: Applications, Challenges, and Related Technologies offers a compelling exploration of the transformative landscape shaped by the convergence of machine intelligence, artificial intelligence, and cognitive computing. In this book, the authors navigate through the intricate realms of technology, unveiling the profound impact of cognitive machine intelligence on diverse fields such as communication, healthcare, cybersecurity, and smart city development. The chapters present study on robots and drones to the integration of machine learning with wireless communication networks, IoT, quantum computing, and beyond. The book explores essential role of machine learning in healthcare, security, and manufacturing. With a keen focus on privacy, trust, and the improvement of human lifestyles, this book stands as a comprehensive guide to the novel techniques and applications driving the evolution of cognitive machine intelligence. The vision presented here extends to smart cities, where AI-enabled techniques contribute to optimal decision-making, and future computing systems address end-to-end delay issues with a central focus on Quality-of-Service metrics. Cognitive Machine Intelligence is an indispensable resource for researchers, practitioners, and enthusiasts seeking a deep understanding of the dynamic landscape at the intersection of artificial intelligence and cognitive computing.This book: Covers a comprehensive exploration of cognitive machine intelligence and its intersection with emerging technologies such as federated learning, blockchain, and 6G and beyond. Discusses the integration of machine learning with various technologies such as wireless communication networks, ad-hoc networks, software-defined networks, quantum computing, and big data. Examines the impact of machine learning on various fields such as healthcare, unmanned aerial vehicles, cyber security, and neural networks. Provides a detailed discussion on the challenges and solutions to future computer networks like end-to-end delay issues, Quality of Service (QoS) metrics, and security. Emphasizes the need to ensure privacy and trust while implementing the novel techniques of machine intelligence. It is primarily written for senior undergraduate, graduate students, and academic researchers in the fields of electrical engineering, electronics and communication engineering, and computer engineering.

To understand and improve the underlying principles that govern how organic reactions occur, A Foundation Course for College Organic Chemistry follows a brick-by-brick building approach. Emphasis is given to interrelating experimental facts and findings with predictions (mechanism) and inferences (results). Discussions focus on clarifying how complex organic reactions occur, which is based on electronegativity differences, movement of electrons (through σ framework or π bonds), addition or removal of atoms (hydrogen, halogens) or groups (hydroxy, amino). The book begins with simple rules governing the deconstruction of reactions and applies them to explain how esterification, amide, and cyanide hydrolysis reactions proceed. The importance of stereochemistry (used in drug development, biology, and medicine), aromatic electrophilic and nucleophilic substitutions, reaction kinetics, and dynamics are explained with suitable examples.Features: A systematic and structured approach is used to study all aspects of reactive intermediates (generation, structure, geometry, and reactions of carbocations, carbanions, and carbon-free radicals) Incorporates scientific methods to deduce reaction mechanisms with simple and relevant explanations, and limitations. A proper explanation is given to understand the influence of functional groups on the stability and reactivity of intermediates, pKa, HSAB principles, structure-activity relations, and how these can be exploited in organic chemistry. Information is presented in an accessible way for students, teachers, researchers, and scientists.

This book provides comprehensive knowledge of the methods of detection and identification of phyllosphere microbial pathogens and the management of different kinds of diseases caused by them in various crops. Interactions between pathogens and host plants result in the induction of defense responses expressed via molecular signals from initiation of infection till systemic progression of pathogen invasion in susceptible plants and contrasting signals in resistant plants leading to inhibition of pathogen development through activation of pre- and post-infectional defense responses are critically discussed.The intricate and complex competitive activities of the pathogens and host plants to outbeat each other involving the molecular warfare to be won by the host plant are elucidated to enable breaking the link in the life cycle of the pathogens for the development of disease management strategies based on the principles of exclusion, eradication, and immunization. Integration of strategies development of cultivars resistant to pathogens through breeding and biotechnological techniques, application of biotic and abiotic inducers of resistance to pathogens, and use of disease-free seeds and propagules that are complementary to each other along with effective cultural practices is emphasized.This book unfolds information gathered through an extensive literature search to help the researchers and graduate students in Agricultural Sciences for identification research gaps and successful completion of their research projects.

This book provides comprehensive knowledge on the methods of detection and identification of phyllosphere microbial pathogens and the management of different kinds of diseases caused by them in various crops. Interactions between pathogens and host plants result in the induction of defense responses expressed via molecular signals from initiation of infection till systemic progression of pathogen invasion in susceptible plants and contrasting signals in resistant plants leading to inhibition of pathogen development through activation of pre- and post-infectional defense responses are critically discussed.The intricate and complex competitive activities of the pathogens and host plants to outbeat each other involving the molecular warfare to be won by the host plant are elucidated to enable breaking the link in the life cycle of the pathogens for the development of disease management strategies based on the principles of exclusion, eradication, and immunization. Integration of strategies development of cultivars resistant to pathogens through breeding and biotechnological techniques, application of biotic and abiotic inducers of resistance to pathogens, and use of disease-free seeds and propagules that are complementary to each other along with effective cultural practices is emphasized.This book unfolds information gathered through an extensive literature search to help the researchers and graduate students in Agricultural Sciences for identification research gaps and successful completion of their research projects.

Sustainability is a global issue and, with the advent of further legislation to make organizations 'greener', companies are keen to promote sustainable performance to survive in the market. Using the facets of Industry 4.0, companies can become leaner, cleaner and measure their performance more effectively. This book reveals the sustainable innovations that organizations are undertaking because of Industry 4.0.This book focuses on sophisticated aspects of how to make products tailor-made to suit specific requirements. It seeks to understand the status of sustainable performance that is impacted by different aspects related to human factors and concludes with detailing the future needs of businesses and potential trends. The book allows the reader to develop a deeper view of sustainability and organizational problems and to bridge the gap between theory and practice. Each chapter contains a self-contained study of a business and the decisions made to improve performance and is supported with tables, charts and illustrations, and a wide list of bibliographic references.This book will be of interest to students, graduates, researchers and practitioners in the fields of logistics, supply chain management, management, leadership, organization and sustainability, plus those interested in Industry 4.0 more generally. It will appeal to students in graduate programs covering sustainable aspects of business, management, supply chain management, and industrial engineering.

This book explains the best practices and their respective outcomes in AI to meet sustainable development goals and demands. It examines the practices, technologies, and innovations at the core of various research issues to meet the sustainable development demands in agriculture to balance social, economic, and environmental sustainability with AI.AI in Agriculture for Sustainable and Economic Management discusses AI-driven nanotechnology approaches for precision agriculture and solutions for the optimization of farming resources and their management. The authors examine the impact of AI in agriculture and how technology-driven sustainable farming with smart waste-water treatment for zero waste for the circular economy can extend crop shelf-life. It discusses how AI expertise can be advantageous to envisage and evaluate the increasing demands of productivity, and help to maintain ecosystems and strengthen the capacity for crop adaptation in response to drastic changes in climate and weather, natural disasters, and other significant factors. These findings and practices are also useful to emphasize how an agricultural ecosystem can be advanced and industrialized so that it can aid not only large commercial farms but also smaller farmlands. Finally, it also discusses how AI practices will help to find a poise between the volume of food manufactured and the suitable maintenance of the ecosystem.This book is intended for researchers and upper graduate students interested in Artificial intelligence in agricultural engineering, AI advances in crop science and technology for sustainable development.

This book aims to provide a comprehensive overview of the various services that are available to help cities develop their smart communities. It includes a variety of topics such as artificial intelligence, blockchain, advanced computing and the Internet of Everything.Smart Cities: Blockchain, AI, and Advanced Computing is designed with independent chapters focusing on the current and future state-of-the-art in the technology for smart city challenges and various application areas like healthcare, transportation, the smart grid, supply chain management, and financial systems. There are both theoretical and empirical investigations in this book, they cover a wide range of topics related to smart city development and implementation, including healthcare, transportation, the smart grid, supply chain management, and financial systems, among others all of which have a significant impact on the creation of smart cities. The book then examines the state-of-the-art blockchain technology for smart city challenges and programs that might assist enhance the quality of life in urban areas and encourage cultural and economic growth.This book is written especially for the students, researchers, academicians and industry professionals looking for initiatives and advancements in the technologies with primary focus on its implications towards smart cities.

This book explores the transformative impact of artificial intelligence on material science and construction practices in the Industry 4.0 landscape. It enquires into AI history and applications, examining material optimization, smart materials, and AI in construction. Covering automation, robotics, and AI-assisted design, the book provides insights into ethical considerations and future trends. A modern reference for scholars and professionals, it bridges academia and practical applications in the dynamic intersection of AI and materials science.

The text begins by highlighting the benefits of the internet of things enabled machine learning in the healthcare sector, examines the diagnosis of diseases using machine learning algorithms, and examines security and privacy issues in the healthcare systems using the internet of things. The text elaborates on image processing implementation for medical images to detect and classify diseases based on magnetic resonance imaging and ultrasound images.This book: - Covers the procedure to recognize emotions using image processing and the internet of things-enabled machine learning.- Highlights security and privacy issues in the healthcare system using the internet of things. - Discusses classification and implementation techniques of image segmentation.- Explains different algorithms of machine learning for image processing in a comprehensive manner. - Provides computational intelligence on the internet of things for future biomedical applications including lung cancer.It is primarily written for graduate students, and academic researchers in the fields of electrical engineering, electronics and communications engineering, computer science and engineering, and biomedical engineering.

AI-Generated Content (AIGC) is a revolutionary engine for digital content generation. In the area of art, AI has achieved most remarkable advancements. AI is capable of not only creating paintings or music comparable to human masterpieces, but also understanding and appreciating art works. For both professionals and amateurs, AI is an enabling tool and a companion to open and enjoy a new world of art.This book aims to present to the readers the state-of-the-art AI technologies for art creation, understanding, and evaluation. The deliberately chosen contents include a survey on cross-modal generation of visual and auditory content, explainable AI and music, AI enabled robotic theatre for Chinese folk art, AI for ancient Chinese music restoration and reproduction, AI for brainwave opera, artistic text style transfer, data-driven automatic choreography, Human-AI collaborative sketching, personalized music recommendation and generation based on emotion and memory (MemoMusic), understanding music and emotion from brain, music question answering, emotional quality evaluation for generated music, and AI for image aesthetic evaluation.The key features of the book is as follows: - AI for Art is a fascinating cross-disciplinary field for the academic community and the public as well.- Each chapter is a relatively independent but rather interesting topic, which provides an entry for corresponding readers.- It presents SOTA AI technologies for art creation and understanding.- The artistry and appreciation of the book is great. For example, the combination of AI with traditional Chinese art is very fascinating.This book is dedicated to the international cross-disciplinary AI Art community composed of professors, students, researchers, and engineers from AI (machine learning, computer vision, multimedia computing, affective computing, robotics, etc.), art (painting, music, dance, fashion, design, etc.), cognition science, and psychology. Also, general audience can also benefit from reading part of the book.

Intelligent and sustainable manufacturing is a broad category of manufacturing that employs computer-integrated manufacturing, digital information technology, flexible technical workforce training, high levels of adaptability, and rapid design changes. Other goals include fast production level changes based on demand, optimization of the production system, efficient production, and recyclability. This handbook provides a compiled knowledge of intelligent and sustainable manufacturing within the context of Industry 4.0. along with tools, principles, and strategies.Handbook of Intelligent and Sustainable Manufacturing: Tools, Principles, and Strategies offers recent developments, future outlooks, and advanced and analytical modeling techniques of intelligent and sustainable manufacturing with examples backed up by experimental and numerical data. It bridges the gap between R&D in intelligent and sustainable manufacturing-related fields and presents case studies and solutions alongside social and green environmental impact. The handbook includes a wide range of advanced tools and applications complete with modeling results and explains how different internet technologies integrate the manufacturing approach with people, products, and complex systems. By encompassing advanced technologies such as digital twin, big data informatics, artificial intelligence, nature-inspired algorithms, IoT, Industry 4.0, simulation approach, analytical strategies, quality tools, roots and pillars, diagnostic tools, and methodical strategies, this handbook provides the most up-to-date and advanced information source available.This handbook will help industries and organizations implement intelligent manufacturing and move towards the sustainability of manufacturing practices. It will also serve as a reference for senior graduate-level courses in mechanical, production, industrial, and aerospace engineering and a value-added asset to libraries of all technical institutions.