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Paperback. Zustand: new. Paperback. The text emphasizes the need for data pre-processing, classification and prediction, cluster analysis, mining multimedia, and advanced machine learning techniques for scientific programming in Industry 5.0.Addresses how the convergence of intelligent systems and 5G wireless systems will solve industrial problems such as autonomous robots, and self-driving carsHighlights the methods of smart things in collaborative autonomous fleets and platforms for integrating applications across different business and industry domainsDiscusses important topics such as the Internet of robotic things, cloud robotics, and cognitive architecture for cyber-physical roboticsExplains image compression, and advanced machine learning techniques for scientific programming in Industry 5.0Presents a detailed discussion of smart manufacturing techniques, industrial Internet of things, and supply chain management in Industry 5.0The text is primarily written for graduate students and academic researchers in the fields of industrial engineering, manufacturing engineering, electrical engineering, production engineering, and mechanical engineering. The text presents evaluation of usage of intelligent systems, machine learning, deep learning, and industrial Internet of things in Industry 5.0 with a particular cognizance on enabling technology and strategies. It helps in monitoring natural resources based on satellite data & geographical information systems using intelligent systems. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.

Paperback. Zustand: new. Paperback. The book explores the concepts and challenges in developing novel approaches using the Internet of Things, intelligent systems, machine intelligence systems, and data analytics in various industrial sectors such as manufacturing, smart agriculture, smart cities, food processing, environment, defense, stock market and healthcare. Further, it discusses the latest improvements in the industrial sectors using machine intelligence learning and intelligent systems techniques, especially robotics. Features: Highlights case studies and solutions to industrial problems using machine learning and intelligent systems. Covers applications in smart agriculture, smart healthcare, intelligent machines for disaster management, and smart manufacturing. Provides the latest methodologies using machine intelligence systems in the early forecasting of weather. Examines the research challenges and identifies the gaps in data collection and data analysis, especially imagery, signal, and speech. Provides applications of digitization and smart processing using the Internet of Things and effective intelligent agent systems in manufacturing. Discusses a systematic and exhaustive analysis of intelligent software effort estimation models.It will serve as an ideal reference text for graduate students, post-graduate students, IT Professionals, and academic researchers in the fields of electrical engineering, electronics and communication engineering, computer engineering, and information technology. The text discusses models related to smart automation in the manufacturing processes and early warning detection systems using machine intelligence. It will serve as an ideal reference text for graduate students and academic researchers in diverse engineering fields such as electrical, electronics and communication. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.

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Paperback / softback. Zustand: New. New copy - Usually dispatched within 4 working days.

hardcover. Zustand: Fine.

Paperback. Zustand: new. Paperback. The text emphasizes the need for data pre-processing, classification and prediction, cluster analysis, mining multimedia, and advanced machine learning techniques for scientific programming in Industry 5.0.Addresses how the convergence of intelligent systems and 5G wireless systems will solve industrial problems such as autonomous robots, and self-driving carsHighlights the methods of smart things in collaborative autonomous fleets and platforms for integrating applications across different business and industry domainsDiscusses important topics such as the Internet of robotic things, cloud robotics, and cognitive architecture for cyber-physical roboticsExplains image compression, and advanced machine learning techniques for scientific programming in Industry 5.0Presents a detailed discussion of smart manufacturing techniques, industrial Internet of things, and supply chain management in Industry 5.0The text is primarily written for graduate students and academic researchers in the fields of industrial engineering, manufacturing engineering, electrical engineering, production engineering, and mechanical engineering. The text presents evaluation of usage of intelligent systems, machine learning, deep learning, and industrial Internet of things in Industry 5.0 with a particular cognizance on enabling technology and strategies. It helps in monitoring natural resources based on satellite data & geographical information systems using intelligent systems. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.

Paperback. Zustand: new. Paperback. The book explores the concepts and challenges in developing novel approaches using the Internet of Things, intelligent systems, machine intelligence systems, and data analytics in various industrial sectors such as manufacturing, smart agriculture, smart cities, food processing, environment, defense, stock market and healthcare. Further, it discusses the latest improvements in the industrial sectors using machine intelligence learning and intelligent systems techniques, especially robotics. Features: Highlights case studies and solutions to industrial problems using machine learning and intelligent systems. Covers applications in smart agriculture, smart healthcare, intelligent machines for disaster management, and smart manufacturing. Provides the latest methodologies using machine intelligence systems in the early forecasting of weather. Examines the research challenges and identifies the gaps in data collection and data analysis, especially imagery, signal, and speech. Provides applications of digitization and smart processing using the Internet of Things and effective intelligent agent systems in manufacturing. Discusses a systematic and exhaustive analysis of intelligent software effort estimation models.It will serve as an ideal reference text for graduate students, post-graduate students, IT Professionals, and academic researchers in the fields of electrical engineering, electronics and communication engineering, computer engineering, and information technology. The text discusses models related to smart automation in the manufacturing processes and early warning detection systems using machine intelligence. It will serve as an ideal reference text for graduate students and academic researchers in diverse engineering fields such as electrical, electronics and communication. Shipping may be from our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability.

Paperback. Zustand: new. Paperback. The book explores the concepts and challenges in developing novel approaches using the Internet of Things, intelligent systems, machine intelligence systems, and data analytics in various industrial sectors such as manufacturing, smart agriculture, smart cities, food processing, environment, defense, stock market and healthcare. Further, it discusses the latest improvements in the industrial sectors using machine intelligence learning and intelligent systems techniques, especially robotics. Features: Highlights case studies and solutions to industrial problems using machine learning and intelligent systems. Covers applications in smart agriculture, smart healthcare, intelligent machines for disaster management, and smart manufacturing. Provides the latest methodologies using machine intelligence systems in the early forecasting of weather. Examines the research challenges and identifies the gaps in data collection and data analysis, especially imagery, signal, and speech. Provides applications of digitization and smart processing using the Internet of Things and effective intelligent agent systems in manufacturing. Discusses a systematic and exhaustive analysis of intelligent software effort estimation models.It will serve as an ideal reference text for graduate students, post-graduate students, IT Professionals, and academic researchers in the fields of electrical engineering, electronics and communication engineering, computer engineering, and information technology. The text discusses models related to smart automation in the manufacturing processes and early warning detection systems using machine intelligence. It will serve as an ideal reference text for graduate students and academic researchers in diverse engineering fields such as electrical, electronics and communication. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.

Paperback. Zustand: Brand New. 362 pages. 9.18x6.12 inches. In Stock.

Zustand: Brand New. New. US edition. Expediting shipping for all USA and Europe orders excluding PO Box. Excellent Customer Service.

Taschenbuch. Zustand: Neu. Neuware - The text emphasizes the need for data pre-processing, classification and prediction, cluster analysis, mining multimedia, and advanced machine learning techniques for scientific programming in Industry 5.0.

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Hardcover. Zustand: new. Hardcover. This book delves into the transformative power of AI in the realm of neurodegenerative diseases,covering topics such as ALS, Huntingtons, Parkinsons, and Alzheimers. Generative AIprovides new opportunities for early diagnosis, precise therapy, and individualized rehabilitation,which are crucial as these conditions remain major obstacles for healthcare providersand researchers.Researchers, physicians, AI developers, and healthcare professionals will find this bookan invaluable resource for understanding how AI is influencing the development of treatmentsfor neurodegenerative diseases. It describes important obstacles and future directions whileproviding insights into the newest breakthroughs, thus bridging the gap between technologyand practical clinical applications. Anyone involved in neurodegenerative healthcare, fromscientists conducting AI-driven medical research to physicians seeking to incorporate AI intopatient care or AI professionals investigating new healthcare applications, will find the informationand insights they need in this comprehensive book.Predictive analytics, biomarker identification, and drug discovery are being transformedby AI-driven models, such as deep neural networks, generative adversarial networks (GANs),and variational autoencoders (VAEs). This book offers a comprehensive examination of thesedevelopments. Robots, wearable sensors, and cognitive therapy platforms are some of theAI-enhanced rehabilitation tools covered, as are AI-integrated cutting-edge technologies likefMRI and MRI, gene-editing methods like CRISPR, and more.In addition to discussing recent technical developments, this book takes a close look atthe data privacy, ethics, and regulatory issues that arise when using AI to study neurodegenerativedisorders. Issues like algorithmic bias, model explainability, and fair AI-driven healthcareare thoroughly investigated in light of the growing usage of AI models in clinical decision-making,mental health applications, and cognitive rehabilitation. This book explores the transformative power of AI in the domain of neurodegenerative diseases such as ALS, Parkinsons, and Alzheimers. It explores AI-driven advancements in predictive analytics, biomarker discovery, drug development, and rehabilitation tools while addressing ethical, regulatory, and data privacy challenges. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.

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Hardcover. Zustand: new. Hardcover. What are the means to create a paradigm shift from conventional to intelligent companies? Industry 6.0: Technology, Practices, Challenges and Applications shows how integrating Industry 6.0 technology with data creates a framework for that shift. The book discusses the limitations, pitfalls, and open research questions in Industry 6.0, as well as the most recent advances, architectures, frameworks, applications, and novel practices, methods, and techniques. These are vital for resolving intelligent Internet of Things issues. There is a special focus on sustainable growth, humanization and environmentally friendly intelligent system applications, and an emphasis on the latest innovations in intelligent systems in classical machine learning, deep learning, Internet of Things (IoT), Industrial Internet of Things (IIoT), blockchain, knowledge representation, knowledge management, big data, and natural language processing (NLP).Features: Presents the latest trends in the fields of intelligent systems, machine intelligence, deep learning, and Industrial Internet of Things for smart environments. Discusses securing the mobile ad hoc network (MANET) by detecting the Intrusions using CSO and XGBoost model. Highlights the methods of smart things in collaborative autonomous fleets and platforms for integrating applications across different business and industry domains. Focuses on intelligent process manufacturing, automation using robotics, development of robotic appliances, and smart manufacturing. Covers data-driven agriculture, crop disease prediction, drip irrigation systems, pesticide and fertilizer sprinkling using the Industrial Internet of Things, and water estimation systems.With many contemporary articles from both scientists and practitioners working in many fields where intelligent systems and the IIoT can break new ground, the text is assembled to aim at a readership that includes researchers, statisticians, practitioners, scientists, and developers. The proposed book entitled Industry 6.0: Technology, Practices, Challenges and Applications determine the ways to create a paradigm shift from conventional to intelligent companies by integrating Industry 6.0 technology with data, identifies limitations, pitfalls, and open research questions in industry 6.0. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.

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hardcover. Zustand: Fine.

Zustand: New. 1st edition NO-PA16APR2015-KAP.

Paperback / softback. Zustand: New. New copy - Usually dispatched within 4 working days. 670.

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Zustand: As New. Unread book in perfect condition.

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Hardcover. Zustand: new. Hardcover. What are the means to create a paradigm shift from conventional to intelligent companies? Industry 6.0: Technology, Practices, Challenges and Applications shows how integrating Industry 6.0 technology with data creates a framework for that shift. The book discusses the limitations, pitfalls, and open research questions in Industry 6.0, as well as the most recent advances, architectures, frameworks, applications, and novel practices, methods, and techniques. These are vital for resolving intelligent Internet of Things issues. There is a special focus on sustainable growth, humanization and environmentally friendly intelligent system applications, and an emphasis on the latest innovations in intelligent systems in classical machine learning, deep learning, Internet of Things (IoT), Industrial Internet of Things (IIoT), blockchain, knowledge representation, knowledge management, big data, and natural language processing (NLP).Features: Presents the latest trends in the fields of intelligent systems, machine intelligence, deep learning, and Industrial Internet of Things for smart environments. Discusses securing the mobile ad hoc network (MANET) by detecting the Intrusions using CSO and XGBoost model. Highlights the methods of smart things in collaborative autonomous fleets and platforms for integrating applications across different business and industry domains. Focuses on intelligent process manufacturing, automation using robotics, development of robotic appliances, and smart manufacturing. Covers data-driven agriculture, crop disease prediction, drip irrigation systems, pesticide and fertilizer sprinkling using the Industrial Internet of Things, and water estimation systems.With many contemporary articles from both scientists and practitioners working in many fields where intelligent systems and the IIoT can break new ground, the text is assembled to aim at a readership that includes researchers, statisticians, practitioners, scientists, and developers. The proposed book entitled Industry 6.0: Technology, Practices, Challenges and Applications determine the ways to create a paradigm shift from conventional to intelligent companies by integrating Industry 6.0 technology with data, identifies limitations, pitfalls, and open research questions in industry 6.0. Shipping may be from our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability.

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Paperback. Zustand: new. Paperback. Cyberbullying is a pervasive global issue that threatens mental health, particularly among young people, with alarming rates of victimization. Emerging technologies like generative AI offer powerful tools to detect, prevent, and mitigate harmful online behavior, addressing this critical societal challenge. The use of machine learning and natural language processing enables early identification of offensive content, though ethical considerations and privacy concerns remain vital. Advancing AI-driven solutions to combat cyberbullying has the potential to create safer digital environments, fostering well-being and inclusivity online. These efforts not only bridge a significant research gap but also empower stakeholders to develop responsible, effective strategies against online abuse. Combating Cyberbullying with Generative AI emphasizes the creative ability of generative AI to generate innovative solutions that are tailored to the issues faced in cyberbully detection. It presents case studies and practical examples that demonstrate effective merging of generative AI in cyberbullying space, providing readers with applicable knowledge and motivation to implement these technologies in their situations. Covering topics such as creativity, intelligent systems, and social platforms, this book is an excellent resource for scholars, researchers, professionals, practitioners, and more. "This book examines how generative AI might be used to combat the growing issue of cyberbullying. The goal of the book is to give researchers, decision-makers, and tech developers practical learning about how AI can detect, block, and lessen unsafe online activity"-- Shipping may be from multiple locations in the US or from the UK, depending on stock availability.