Books in Computer science

61-70 of 3083 results in All results

TinyML for Edge Intelligence in IoT and LPWAN Networks

1st Edition
June 17, 2024
Bharat S Chaudhari + 3 more
English
Paperback
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eBook
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TinyML for Edge Intelligence in IoT and LPWAN Networks presents the evolution, developments, and advances in TinyML as applied to the Internet of Things (IoT) and low-power wide area networks (LPWANs). It starts by providing the foundations of IoT/LPWANs, low-power embedded systems and hardware, the role of AI and machine learning in communication networks in general, and cloud/edge intelligence. It then presents the concepts, methods, algorithms, and tools of TinyML. Practical applications of TinyML are given from the healthcare and industrial sectors, providing practical guidance on the design of applications and the selection of appropriate technologies.

Intelligent Fractal-Based Image Analysis

1st Edition
June 14, 2024
Soumya Ranjan Nayak + 3 more
English
Paperback
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eBook
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Intelligent Fractal-Based Image Analysis: Application in Pattern Recognition and Machine Vision provides insights into the current strengths and weaknesses of different applications as well as research findings on fractal graphics in engineering and science applications. The book aims to improve the exchange of ideas and coherence between various core computing methods and highlights the relevance of related application areas for advanced as well as novice-user application. The book presents core concepts, methodological aspects, and advanced feature opportunities, focusing on major, real-time applications in engineering and health science. It will appeal to researchers, data scientists, industry professionals, and graduate students.Fractals are infinite, complex patterns used in modeling physical and dynamic systems. Fractal theory research has increased across different fields of applications including engineering science, health science, and social science. Recent literature shows the vital role fractals play in digital image analysis, specifically in biomedical image processing. Fractal graphics is an interdisciplinary field that deals with how computers can be used to gain high-level understanding from digital images. Integrating artificial intelligence with fractal characteristics has resulted in new interdisciplinary research in the fields of pattern recognition and image processing analysis.

Federated Learning for Digital Healthcare Systems

1st Edition
June 3, 2024
Agbotiname Lucky Imoize + 3 more
English
Paperback
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eBook
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Federated Learning for Digital Healthcare Systems critically examines the key factors that contribute to the problem of applying machine learning in healthcare systems and investigates how federated learning can be employed to address the problem. The book discusses, examines, and compares the applications of federated learning solutions in emerging digital healthcare systems, providing a critical look in terms of the required resources, computational complexity, and system performance.In the first section, chapters examine how to address critical security and privacy concerns and how to revamp existing machine learning models. In subsequent chapters, the book's authors review recent advances to tackle emerging efficient and lightweight algorithms and protocols to reduce computational overheads and communication costs in wireless healthcare systems. Consideration is also given to government and economic regulations as well as legal considerations when federated learning is applied to digital healthcare systems.

Proactive Human-Robot Collaboration Toward Human-Centric Smart Manufacturing

1st Edition
June 3, 2024
Shufei Li + 2 more
English
Paperback
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eBook
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Proactive Human–Robot Collaboration Toward Human-Centric Smart Manufacturing is driven by an appreciation of manufacturing scenarios where human and robotic agents can understand each other’s actions and conduct mutual-cognitive, predictable, and self-organizing teamwork. Modern factories’ smart manufacturing transformation and the evolution of relationships between humans and robots in manufacturing tasks set the scene for a discussion on the technical fundamentals of state-of-the-art proactive human–robot collaboration; these are further elaborated into the three main steps (i.e., mutual-cognitive and empathic coworking; predictable spatio-temporal collaboration; self-organizing multiagent teamwork) to achieve an advanced form of symbiotic HRC with high-level, dynamic-reasoning teamwork skills. The authors then present a deployment roadmap and several case studies, providing step-by-step guidance for real-world application of these ground-breaking methods which crucially contribute to the maturing of human-centric, sustainable, and resilient production systems. The volume proves to be an invaluable resource that supports understanding and learning for users ranging from upper undergraduate/graduate students and academic researchers to engineering professionals in a variety of industry contexts.

Cognitive Science, Computational Intelligence, and Data Analytics

1st Edition
June 3, 2024
Vikas Khare + 2 more
English
Paperback
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eBook
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Cognitive Science, Computational Intelligence, and Data Analytics: Methods and Applications with Python introduces readers to the foundational concepts of data analysis, cognitive science, and computational intelligence, including AI and Machine Learning. The book's focus is on fundamental ideas, procedures, and computational intelligence tools that can be applied to a wide range of data analysis approaches, with applications that include mathematical programming, evolutionary simulation, machine learning, and logic-based models. It offers readers the fundamental and practical aspects of cognitive science and data analysis, exploring data analytics in terms of description, evolution, and applicability in real-life problems.The authors cover the history and evolution of cognitive analytics, methodological concerns in philosophy, syntax and semantics, understanding of generative linguistics, theory of memory and processing theory, structured and unstructured data, qualitative and quantitative data, measurement of variables, nominal, ordinals, intervals, and ratio scale data. The content in this book is tailored to the reader's needs in terms of both type and fundamentals, including coverage of multivariate analysis, CRISP methodology and SEMMA methodology. Each chapter provides practical, hands-on learning with real-world applications, including case studies and Python programs related to the key concepts being presented.

Computational Intelligence Techniques for Sustainable Supply Chain Management

1st Edition
June 3, 2024
Sanjoy Kumar Paul + 1 more
English
Paperback
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eBook
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Computational Intelligence Techniques for Sustainable Supply Chain Management presents state-of-the-art computational intelligence techniques and applications for supply chain sustainability issues and logistic problems, filling the gap between general textbooks on sustainable supply chain management and more specialized literature dealing with methods for computational intelligence techniques. This book focuses on addressing problems in advanced topics in the sustainable supply chain and will appeal to practitioners, managers, researchers, students, and professionals interested in sustainable logistics, procurement, manufacturing, inventory and production management, scheduling, transportation, and supply chain network design.

Advances in Artificial Intelligence

1st Edition
June 3, 2024
Kunal Pal + 2 more
English
Paperback
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eBook
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Artificial intelligence in healthcare has become one of the best assisting techniques for clinicians in proper diagnosis and surgery. In biomedical applications, artificial intelligence algorithms are explored for bio-signals, such as electrocardiogram (ECG/EKG), electrooculogram (EOG), electromyogram (EMG), electroencephalogram (EEG), blood pressure, heart rate, and nerve conduction, and for bio-imaging modalities, such as computed tomography (CT), cone-beam computed tomography (CBCT), and MRI (magnetic resonance imaging). Advancements in artificial intelligence and big data have increased the development of innovative medical devices in healthcare applications. Advances in Artificial Intelligence: Biomedical Engineering Applications in Signals and Imaging provides an overview of artificial intelligence in biomedical applications, including both bio-signals and bio-imaging modalities. The chapters contain a mathematical formulation of algorithms and their applications in the biomedical eld, including case studies. Biomedical engineers, advanced students, and researchers can use this book to apply their knowledge in artificial intelligence-based processes to biological signals, implement mathematical models and advanced algorithms, and develop AI-based medical devices.

Decision Support Systems for Sustainable Computing

1st Edition
June 3, 2024
Muhammet Deveci
English
Paperback
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eBook
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Decision Support Systems for Sustainable Computing investigates recent technological advances in decision support systems models designed to solve real world applications. The book provides a broad overview of digital technology transformation as applied to the circular economy, which is seeking to drive improvements in scientific research, communication, logistics, automation, production, and the improved sustainability of these processes and products. The book explores applications of decision support for sustainable development across supply chain management, business intelligence, agriculture, aviation, communications, and finance.

Making IT Sustainable

1st Edition
June 1, 2024
Mikhail Gloukhovtsev
English
Paperback
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eBook
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Implementing sustainability solutions in Information Technology (IT) or broader – in Information Communications Technology (ICT) - is a challenge but it is essential. The goal of Making IT Sustainable: Techniques and Applications is to show how it has been done, strategies, various solutions, tool sets, and best practices. Various IT areas are investigated – from data center technologies and operations to cloud computing, to green software, to cryptocurrency, to the transformative AI role in making IT sustainable, to quantum and adiabatic computing. The adoption of sustainable IT practices reduces the environmental footprint of IT by advocating for the utilization of renewable energy sources, electronic waste reduction, the design of energy-efficient IT devices, innovative cooling technologies, and circular economy. Sustainable IT is a complex and challenging field. As a result, there are many questions and uncertainties about how to implement sustainable practices across various scenarios. Making IT Sustainable: Techniques and Applications asks several insightful questions: How can environmentally sustainable data centers be built? How do we compare the carbon footprint of data centers versus public cloud, and cloud-focused IT sustainability standards? How can quantum computing be made environmentally friendly? How to make cryptocurrency mining sustainable? Are the economic costs of sustainable IT prohibitively higher than society is willing to bear? Transformative role of AI in making IT sustainable is reviewed. Readers of Making IT Sustainable: Techniques and Applications will be a very diverse group. First, the readers include IT professionals who are responsible for managing and maintaining IT infrastructure and systems. The book can provide them with knowledge and guidance on how to reduce the environmental impact of their IT operations. Second, business leaders making decisions about the use of IT will find guidance in the book on how to implement sustainable IT practices in their organizations. Academics and researchers interested in the field of sustainable IT will find information and data helping them develop new ideas and innovative approaches to IT sustainability. The goal of IT sustainability is to contribute to making our planet better. Therefore, students who are interested in pursuing careers in IT or sustainability are the most important members of the book audience. The book helps them understand the key role of sustainability in IT and develop skills and knowledge in this field. Overall, everyone who is interested in reducing the environmental impact of IT can benefit from this book on sustainable IT, regardless of their professional background or level of expertise. Making IT Sustainable: Techniques and Applications is written by an IT practitioner actively working in the field of sustainable IT. The author has firsthand knowledge of the challenges and opportunities of implementing sustainable practices in IT operations. Readers will find practical solutions with examples of their implementations.

Responsible Artificial Intelligence Re-engineering the Global Public Health Ecosystem

1st Edition
June 1, 2024
Dominique J Monlezun
English
Paperback
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eBook
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Responsible Artificial Intelligence Re-engineering the Global Public Health Ecosystem: A Humanity Worth Saving is the first comprehensive book showing how trustworthy AI can revolutionize decolonized global public health. It explains how it works as an ecosystem and how it can be fixed to equitably empower us all to solve the defining crises of our era, from poverty to pandemics, climate to conflicts, debt to divisions. It is written from the first-hand perspective of the world’s first triple doctorate trained physician-data scientist and ethicist who has cared for more than 10,000 patients and authored 5 AI textbooks and more than 400 scientific and ethics papers. This essential resource integrates science, political economics, and ethics to unite our unique cultures, belief systems, institutions, and governments. In doing so, it is meant to give humanity a fighting chance against shared existential threats through cooperation and managed strategic competition for integral sustainable development.Taking seriously diverse voices, perspectives, and insights from the Global North and the Global South, this book uses concrete examples backed up by clear explanations to elucidate the current failures, emerging successes, and societal trends of global public health. It shows how a small number of powerful governments and corporations—amid digitalization, deglobalization, and demographic shifts—dominate global health, and how we can re-engineer a better future for it both societally and technologically. The book spans health breakthroughs in federated data architectures, machine learning, deep learning, swarm learning, quantum computing, blockchain, agile data governance and solidarity, value blocks (of democracies and autocracies), adaptive value supply chains, social networks, pandemics, health financing, universal health coverage, public–private partnerships, healthcare system design, precision agriculture, clean energy, human security, and multicultural global ethics. This book therefore is meant to provide a clear, coherent, and actionable guide equipping students, practitioners, researchers, policymakers, and leaders in digital technology, public health, healthcare, health policy, public policy, political economics, and ethics to generate the solutions that will define humanity’s next era—while recovering what that humanity means, and why it is worth saving.