The convergence of Artif?icial Intelligence (AI) and Internet of Things (IoT) is reshaping the way industries, businesses, and economies function; the 34 chapters in this collection show how the full potential of these technologies is being enabled to create intelligent machines that simulate smart behavior and support decision-making with little or no human interference, thereby providing startling organizational efficiencies. Readers will discover that in Reshaping Intelligent Business and Industry: The book unpacks the two superpowers of innovation, AI and IoT, and explains how they connect to better communicate and exchange information about online activities; How the center and the network's edge generate predictive analytics or anomaly alerts; The meaning of AI at the edge and IoT networks. How bandwidth is reduced and privacy and security are enhanced; How AI applications increase operating efficiency, spawn new products and services, and enhance risk management; How AI and IoT create `intelligent' devices and how new AI technology enables IoT to reach its full potential; Analyzes AIOT platforms and the handling of personal information for shared frameworks that remain sensitive to customers' privacy while effectively utilizing data. Audience
This book will appeal to all business and organization leaders, entrepreneurs, policymakers, and economists, as well as scientists, engineers, and students working in artificial intelligence, software engineering, and information technology.
The Impact of CLIMATE CHANGE and SUSTAINABILITY STANDARDS on the INSURANCE MARKET The book explores the role of the insurance industry in contributing and responding to the harms that climate change has brought. This book delves into the physical and logical impacts, both direct and indirect, on the insurance industry. Subjects discussed include new technology such as big data, artificial intelligence, machine learning, the growth of sustainable economics with foreign direct investments (FDIs), trustworthiness, and ethics. Related use cases of data science for claim processing, fraud detection and prevention, policy administration, pricing, and underwriting are discussed along with cyber security issues, data protection, and big data regulatory reforms. To promote ESG sustainability, the insurance industry plays a critical and significant role. Climate-related risks are being factored into underwriting and investing strategies. Through their own operations and business activities, insurers may promote the ESG agenda and move towards sustainability. Also discussed are promoting diversity and inclusion, lowering greenhouse gas (GHG) emissions, resolving gender inequality, and helping communities through charitable work, which all improve a company's brand, reputation, and ESG credentials. Audience The book is specially designed for administrators, lecturers, researchers, students of insurance and sustainability, students in financial services, insurance practitioners, actuaries, loss adjusters, underwriters, regulators, facilities management, utility companies, voluntary organizations, government departments, business leaders, policymakers, decision-makers, investors, risk managers, compliance managers, and audit managers amongst many others.
This volume focuses on the fundamentals of additive manufacturing and its components, explains why and what we do, outlines what is crucial to the user, offers details on important applications such as in the aerospace, automotive, or medical areas, and the difficult certification process. This book explores the advancements in additive manufacturing which produces solid, free-form, nearly net-shaped objects. This refers to items that are easy to use, out-of-the-box, and not bound by the design constraints of modern manufacturing techniques. AM expands the definition of 3D printing to encompass a variety of procedures that begin with a three-dimensional computer model, incorporate an AM production procedure, and result in a useful product. The AM process can be confusing due to the rapid rise of competing techniques for fabricating 3D parts. This volume provides a thorough review of the basic components and procedures involved in additive manufacturing. It outlines a road map for where to begin, what to study, how everything goes together, and how AM might enable ideas outside traditional processing to realize those ideas in AM. Furthermore, this book investigates the benefits of AM including affordable access to 3D solid modeling software. With this software, learning is achieved without having to invest in costly industrial equipment. AM encompasses a variety of techniques, including those that use high-intensity beams to fuse powder or wire, and hybrid techniques that combine additive and subtractive manufacturing techniques. AM-related processes have developed at breakneck speed, giving rise to a deluge of acronyms and terminology, not to mention the emergence, acquisition, and demise of new businesses. By combining ideas and aspirations, better methods will be revealed that result in useful products that will serve and contribute to a lasting future. Although expensive commercial additive manufacturing equipment can cost hundreds of thousands to millions of dollars, a lack of access to equipment does not preclude the study of the technology. 3D printing services will undoubtedly become more reasonable for small- and medium-sized organizations as their prices decline. Hybrid 3D plastic printing technologies and low-cost hobbyist 3D weld deposition systems are already in development which will make the best 3D printers accessible and affordable. This book will assist the reader in determining what is required to begin, which software, supplies, and procedures best suit, and where to obtain additional information. Audience The book will be used by engineers and R&D researchers involved in advanced additive manufacturing technology, postgraduate students in various disciplines such as mechanical, manufacturing, biomedical, and industrial engineering, etc. It will also serve as a reference manual for manufacturing and materials engineers involved in additive manufacturing and product development.
This volume focuses on the fundamentals of additive manufacturing and its components, explains why and what we do, outlines what is crucial to the user, offers details on important applications such as in the aerospace, automotive, or medical areas, and the difficult certification process. This book explores the advancements in additive manufacturing which produces solid, free-form, nearly net-shaped objects. This refers to items that are easy to use, out-of-the-box, and not bound by the design constraints of modern manufacturing techniques. AM expands the definition of 3D printing to encompass a variety of procedures that begin with a three-dimensional computer model, incorporate an AM production procedure, and result in a useful product. The AM process can be confusing due to the rapid rise of competing techniques for fabricating 3D parts. This volume provides a thorough review of the basic components and procedures involved in additive manufacturing. It outlines a road map for where to begin, what to study, how everything goes together, and how AM might enable ideas outside traditional processing to realize those ideas in AM. Furthermore, this book investigates the benefits of AM including affordable access to 3D solid modeling software. With this software, learning is achieved without having to invest in costly industrial equipment. AM encompasses a variety of techniques, including those that use high-intensity beams to fuse powder or wire, and hybrid techniques that combine additive and subtractive manufacturing techniques. AM-related processes have developed at breakneck speed, giving rise to a deluge of acronyms and terminology, not to mention the emergence, acquisition, and demise of new businesses. By combining ideas and aspirations, better methods will be revealed that result in useful products that will serve and contribute to a lasting future. Although expensive commercial additive manufacturing equipment can cost hundreds of thousands to millions of dollars, a lack of access to equipment does not preclude the study of the technology. 3D printing services will undoubtedly become more reasonable for small- and medium-sized organizations as their prices decline. Hybrid 3D plastic printing technologies and low-cost hobbyist 3D weld deposition systems are already in development which will make the best 3D printers accessible and affordable. This book will assist the reader in determining what is required to begin, which software, supplies, and procedures best suit, and where to obtain additional information. Audience The book will be used by engineers and R&D researchers involved in advanced additive manufacturing technology, postgraduate students in various disciplines such as mechanical, manufacturing, biomedical, and industrial engineering, etc. It will also serve as a reference manual for manufacturing and materials engineers involved in additive manufacturing and product development.
This book, set against the backdrop of huge advancements in artificial intelligence and machine learning within mechatronic systems, serves as a comprehensive guide to navigating the intricacies of mechatronics and harnessing its transformative potential. Mechatronics has been a revolutionary force in engineering and medical robotics over the past decade. It will lead to a major industrial revolution and affect research in every field of engineering. This book covers the basics of mechatronics, computational intelligence approaches, simulation and modeling concepts, architectures, nanotechnology, real-time monitoring and control, different actuators, and sensors. The book explains clearly and comprehensively the engineering design process at different stages. As the historical divisions between the various branches of engineering and computer science become less clearly defined, mechatronics may provide a roadmap for nontraditional engineering students studying within the traditional university structure. This book covers all the algorithms and techniques found in mechatronics engineering, well explained with real-time examples, especially lab experiments that will be very informative to students and scholars. Audience This resource is important for R & D departments in academia, government, and industry. It will appeal to mechanical engineers, electronics engineers, computer scientists, robotics engineers, professionals in manufacturing, automation and related industries, as well as innovators and entrepreneurs.
This book offers comprehensive insights into the management of agroforestry for livelihood security and sustainable development in the tropics, addressing ecological interactions, productivity, and the monetization of carbon credits, while also outlining a future roadmap and policy challenges. Agroforestry is a brilliant land use farming practice that covers 1.6 billion hectares (78 percent in the tropics and 22 percent in the temperate regions) to enhance plant diversification, productivity, and livelihood across generations, maintaining eco-restoration. It ensures socioeconomic upliftment and a standard livelihood for people along with many ecosystem services for sustainable development under resilient climates, which are today's key topics popularized among policy makers, stakeholders, scientists, ecologists, and climate supporters in the tropical world. However, more than 75 percent of the world's poor directly depend on natural resources for their livelihoods. Adopting climate resilient agroforestry not only maximizes productivity and farmers' socioeconomic status but also mitigates climate change issues through carbon sequestrations for better carbon management in the tropics. This book addresses agroforestry management for livelihood security and sustainable development in the tropics. Readers will earn about ecological interactions and productivity in tropical agroforestry ensuring greater ecosystem services and livelihood resilience under changing climates, as well as building livelihood resilience through monetization of carbon credits in agroforestry in the tropics. Livelihood and sustainability-based policy in agroforestry, its challenges, and a future roadmap are also covered. This volume provides new insights related to updated research, development and extension activities for combating climate change through carbon sequestration to enhance intensify greater productivity, and livelihood and ecosystem services for ensuring the goals of sustainable development.
Get up to speed with how the latest knowledge management and industry 4.0 technologyhelp make enterprises secure, controlled, and optimized for a better future. This book focuses on how the practices of Industrial Revolution 4.0 and knowledge management interact to create value. In recent years, value chain relationships and related activities have utilized new technologies so that existing conceptual frameworks require a roadmap for innovation strategies and effective implementation. The chapters in this book include case studies contributed by researchers and industry practitioners that showcase the impact of practices and challenges presented by technological changes, upgrading of old systems, and internal and external factors. Knowledge Management and Industrial Revolution 4.0 describes how knowledge management impacts the automation of the industry in secure, controlled, and optimized ways. For instance, the use of the latest technologies and sensors can lead to significant time and cost savings, and operators can utilize their machines and equipment from remote locations. The Industrial Revolution 4.0 incorporates the latest technologies for automation and, in many cases, the result is similar to working from home, even in manufacturing. The use of deep learning should offer many quality control benefits. Furthermore, blockchain technology can help the industry with automation in secure and transparent ways. Apart from industry automation, other departments like human resources can also use effective knowledge management for better outcomes. The use of HR knowledge management allows employees to find and access the information they require without the assistance of the HR department. The book focuses on every aspect of the industry to help all the stakeholders of an organization. The benefits include a reduction in time required for accessing information, easier training, decreased operational expenses, improved stakeholders' satisfaction, faster problem-solving, increased pace of innovation, simpler employee review and progress reports. Audience The book will have a wide audience within academia, education, businesses, and industrial organizations, especially those who are undergoing industry 4.0 changes to optimize for a better future.
Handbook of Museum Textiles Textiles have been known to us throughout human history and played a vital role in the lives and traditions of people. Clothing was made by using different materials and methods from natural fibers. There are different varieties of textiles, out of which certain traditional textiles, archaeological findings, or fragments are of cultural, historical, and sentimental value such as tapestries, embroideries, flags, shawls, etc. These kinds of textiles, due to their historical use and environmental factors, require special attention to guarantee their long-term stability. Textile conservation is a complex, challenging, and multi-faceted discipline and it is one of the most versatile branches of conservation. Volume 1 of the Handbook of Museum Textiles focuses on conservation and cultural research and addresses the proper display, storage, upkeep, handling, and conservation technology of textile artifacts to ensure their presence for coming generations. Spread over 19 chapters, the volume is a unique body of knowledge of theoretical and practical details of museum practices. Chapters on textile museums, the importance of cultural heritage, conservation, and documentation of textiles are covered in depth. Conservation case studies and examples are highlighted in many chapters. Management practices and guidelines to pursue a career in the museum textile field have been given due attention. The respective authors of the chapters are of international repute and are researchers, academicians, conservators, and curators in this field. Audience The book is a unique asset for textile researchers, fine art scholars, archaeologists, museum curators, designers, and those who are interested in the field of traditional or historic textile collections.
MECHANICAL ENGINEERING IN BIOMEDICAL APPLICATIONS The book explores the latest research and developments related to the interdisciplinary field of biomedical and mechanical engineering offering insights and perspectives on the research, key technologies, and mechanical engineering techniques used in biomedical applications. The book is divided into several sections that cover different aspects of mechanical engineering in biomedical research. The first section focuses on the role of additive manufacturing technologies, rehabilitation in healthcare applications, and artificial recreation of human organs. The section also covers the advances, risks, and challenges of bio 3D printing. The second section presents insight into biomaterials, including their properties, applications, and fabrication techniques. The section also covers the use of powder metallurgy methodology and techniques of biopolymer and bio-ceramic coatings on prosthetic implants. The third section covers biofluid mechanics, including the mechanics of fluid flow within our body, the mechanical aspects of human synovial fluids, and the design of medical devices for fluid flow applications. The section also covers the use of computational modeling to study the blockage of carotid arteries. The final section elaborates on soft robotic manipulation for use in medical sciences. Audience The book provides practical insights and applications for mechanical engineers, biomedical engineers, medical professionals, and researchers working on the design and development of biomedical devices and implants.
The book presents the fundamentals of nanomaterials, discusses the direct applications of nanomaterials to the biomedical sector, and explores the potential therapeutic applications of nanotheranostics. This book focuses on the fundamental features of various nanomaterials that are related to the development of biomedical technologies. These fundamental qualities are broken up into three parts: prevention, diagnostics, and therapeutics. When it comes to infectious diseases, prevention is of the utmost importance. Highly advanced nanomaterials including silver, titanium, graphene-based filters, and copper nanoparticles are used to fight infectious illnesses. Once the symptoms have been recognized in the patients, through the use of effective and straightforward nanodiagnostic techniques, the diseases can be accurately localized in either a qualitative or quantitative manner. Nanodiagnostics tools currently dominate the field of biomedical diagnostics because of their high degree of accuracy, low requirement for samples and reagents, user-friendliness, portability, and capacity to perform point-of-care (POC) applications. Nanomaterials are widely used in imaging due to many factors, including: their signal generation and amplification abilities; the ongoing development of reliant new imaging techniques, such as photoacoustic imaging and Raman imaging; their targeting potential, due to the possibility of functionalizing their surface with cancer-targeting moieties; their multimodality, since some nanomaterials can generate signals for more than one imaging technique; and their affordability. Modern therapeutics explores the various nanotechnological advances to cure the site-specific cancer treatment most prominently. The book explores the fundamentals of nanomaterials and discloses their direct application to the biomedical field. Finally, the book discusses future therapeutic applications of nanotheranostics. Audience The book will be read by scientists, researchers, and post-graduate students in the biomedical-related engineering field, nanoscience and nanotechnology, materials science, and bionanotechnology.
This book presents a vital method for companies to connect with potential clients andconsumers in the digital era of Online Social Networks (OSNs), utilizing the strengthof well-known social networks and AI to achieve success through fostering brandsupporters, generating leads, and enhancing customer interactions. There are currently 4.8 billion Online Social Network (OSN) users worldwide. Online Social Networks in Business Frameworks presents marketing through online social networks (OSNs), which is a potent method for companies of all sizes to connect with potential clients and consumers. If visitors are not on OSN sites like Facebook, Twitter, and LinkedIn, they are missing out on the fact that people discover, learn about, follow, and purchase from companies on OSNs. Excellent OSN advertising may help a company achieve amazing success by fostering committed brand supporters and even generating leads and revenue. A type of digital advertising known as social media marketing (SMM) makes use of the strength of well-known social networks to further advertise and establish branding objectives. Nevertheless, it goes beyond simply setting up company accounts and tweeting whenever visitors feel like it. Preserving and improving profiles means posting content that represents the company and draws in the right audience, such as images, videos, articles, and live videos, addressing comments, shares, and likes while keeping an eye on the reputation to create a brand network, and following and interacting with followers, clients, and influencers.
This book, set against the backdrop of huge advancements in artificial intelligence and machine learning within mechatronic systems, serves as a comprehensive guide to navigating the intricacies of mechatronics and harnessing its transformative potential. Mechatronics has been a revolutionary force in engineering and medical robotics over the past decade. It will lead to a major industrial revolution and affect research in every field of engineering. This book covers the basics of mechatronics, computational intelligence approaches, simulation and modeling concepts, architectures, nanotechnology, real-time monitoring and control, different actuators, and sensors. The book explains clearly and comprehensively the engineering design process at different stages. As the historical divisions between the various branches of engineering and computer science become less clearly defined, mechatronics may provide a roadmap for nontraditional engineering students studying within the traditional university structure. This book covers all the algorithms and techniques found in mechatronics engineering, well explained with real-time examples, especially lab experiments that will be very informative to students and scholars. Audience This resource is important for R & D departments in academia, government, and industry. It will appeal to mechanical engineers, electronics engineers, computer scientists, robotics engineers, professionals in manufacturing, automation and related industries, as well as innovators and entrepreneurs.
This second edition of the original volume adds significant new innovations for revolutionizing the processes and methods used in petroleum reservoir simulations. With the advent of shale drilling, hydraulic fracturing, and underbalanced drilling has come a virtual renaissance of scientific methodologies in the oil and gas industry. New ways of thinking are being pioneered, and Dr. Islam and his team have, for years now, been at the forefront of these important changes. This book clarifies the underlying mathematics and physics behind reservoir simulation and makes it easy to have a range of simulation results along with their respective probability. This makes the risk analysis based on knowledge rather than guess work. The book offers by far the strongest tool for engineers and managers to back up reservoir simulation predictions with real science. The book adds transparency and ease to the process of reservoir simulation in way never witnessed before. Finally, No other book provides readers complete access to the 3D, 3-phase reservoir simulation software that is available with this text. A must-have for any reservoir engineer or petroleum engineer working upstream, whether in exploration, drilling, or production, this text is also a valuable textbook for advanced students and graduate students in petroleum or chemical engineering departments.
The book provides a comprehensive understanding of cutting-edge research and applications at the intersection of genomics and advanced AI techniques and serves as an essential resource for researchers, bioinformaticians, and practitioners looking to leverage genomics data for AI-driven insights and innovations. The book encompasses a wide range of topics, starting with an introduction to genomics data and its unique characteristics. Each chapter unfolds a unique facet, delving into the collaborative potential and challenges that arise from advanced technologies. It explores image analysis techniques specifically tailored for genomic data. It also delves into deep learning showcasing the power of convolutional neural networks (CNN) and recurrent neural networks (RNN) in genomic image analysis and sequence analysis. Readers will gain practical knowledge on how to apply deep learning techniques to unlock patterns and relationships in genomics data. Transfer learning, a popular technique in AI, is explored in the context of genomics, demonstrating how knowledge from pre-trained models can be effectively transferred to genomic datasets, leading to improved performance and efficiency. Also covered is the domain adaptation techniques specifically tailored for genomics data. The book explores how genomics principles can inspire the design of AI algorithms, including genetic algorithms, evolutionary computing, and genetic programming. Additional chapters delve into the interpretation of genomic data using AI and ML models, including techniques for feature importance and visualization, as well as explainable AI methods that aid in understanding the inner workings of the models. The applications of genomics in AI span various domains, and the book explores AI-driven drug discovery and personalized medicine, genomic data analysis for disease diagnosis and prognosis, and the advancement of AI-enabled genomic research. Lastly, the book addresses the ethical considerations in integrating genomics with AI, computer vision, and machine learning. Audience The book will appeal to biomedical and computer/data scientists and researchers working in genomics and bioinformatics seeking to leverage AI, computer vision, and machine learning for enhanced analysis and discovery; healthcare professionals advancing personalized medicine and patient care; industry leaders and decision-makers in biotechnology, pharmaceuticals, and healthcare industries seeking strategic insights into the integration of genomics and advanced technologies.
