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Lachman R: Digital Wisdom

Digital Wisdom

Searching for Agency in the Age of AI

Enhancing the Control of Systems and Devices: Improving Performance, Reliability and Adaptability in Dynamic Environments provides an in-depth exploration of the application of sophisticated control design strategies to enhance the control of systems and devices in terms of performance, reliability, and adaptability in dynamic environments. A sophisticated control design strategy refers to the use of advanced and intricate control techniques to achieve specific objectives in complex systems.

Improving Performance, Reliability and Adaptability in Dynamic Environments

Enhancing the Control of Systems and Devices

Technology-Assisted Physical Gait Rehabilitation: How Robotics, Data Science, and Neuroscience are Changing Modern Physical Therapy delves into the integration of advanced computational modeling, robotic systems, data analytics, and neuroscientific principles to revolutionize physical gait therapy. This book addresses rehabilitation techniques for conditions like stroke, traumatic brain injury, and incomplete spinal cord injury, showcasing a multidisciplinary approach that brings together expertise from various domains. This comprehensive volume gathers insights from leading experts in robotics, human biomechanics, physical therapy, neuroscience, engineering, and medicine. It discusses current advancements and future directions in technology-assisted gait therapy, emphasizing the synergy of interdisciplinary collaboration to achieve breakthroughs in rehabilitation techniques. The book also highlights ongoing work and the potential developments necessary to foster significant progress in this field.

How Robotics, Data Science, and Neuroscience are Changing Modern Physical Therapy

Technology-Assisted Physical Gait Rehabilitation

Advances in Intelligent Energy Systems

Advanced Energy Management: Digitalization and AI for the Internet of Energy explores recent advancements in distributed renewable systems, advanced controls, and energy management of nonlinear energy behaviors. The book addresses energy resilience amid extreme climates and events, presenting new applications for energy-efficient, low-carbon, and reliable cities. It details the role of AI in renewable energy systems, including power dispatch, fast response, dynamic aging, and techno-economic performance. This introduction provides a comprehensive overview of AI applications in renewable energy systems. The book delves into the interconnection between climate change and multi-energy systems, big data's role in sustainable energy supply, and much more. It also covers demand-side management, grid-response controls in Integrated Energy Management Systems (IEMSs), and Energy Management Systems (EMSs) in integrated energy systems and power grids with AI. Additionally, the book reviews peer-to-peer and blockchain-based energy sharing, dynamic pricing, decision-making in distributed energy markets, city-scale energy resilience, and robustness with distributed energy systems. Ethical, regulatory, and policy considerations of AI in energy management and detailed Sustainability and Environmental Impact Analyses are discussed.

Digitalization and AI for the Internet of Energy

Advanced Energy Management

This book highlights the enduring synergy between information technology and decision-making tools, showcasing how advancements in one field drive progress in the other. Featuring the discoveries of esteemed researchers from the International Journal of Information Technology and Decision Making, it provides an insightful exploration of foundational concepts and cutting-edge techniques.This review volume opens with a broad overview of fundamental concepts like the Analytic Hierarchy Process (AHP) and Threat-Oriented Person Screening Integrated System, (TOPSIS) across the past decades. Subsequent chapters explore how theoretical advances find practical application in diverse fields.In this book, techniques from fuzzy logic find usage in uncertainty modelling, followed by the use of feature selection and recommendation in machine learning. The use of advanced optimization techniques for applications in price forecasting and the Internet of Things (IoT) are also covered. Additionally, the work presents novel methods under a neutrosophic environment as well as global and local importance used for multi-criteria decision-making. The prolific research presented helps to expand the repertoire of approaches to tackle problems in business strategy, healthcare and public policy.This comprehensive resource is an essential reference for practitioners and researchers seeking to expand their expertise in decision-making and technology-driven solutions.

Innovative Approaches To Decision Making: Bridging It And Decision Science

Art in the Age of AI

How to See Like a Machine

Green Federated Learning for Sustainable Smart Computing

Intelligent IoT-based Diagnostic and Assistive Systems for Neurological Disorders

In Mechanism Design and International Risk Regulation Institutions, Mike Nwogugu explains that 'Risk Management Institutions' in this context refers not just to organizations, but also to methods, assets/liabilities, mathematical computations, government interventions and regulations that pertain to global risk management. The author suggests that in order to foster economic growth, international risk regulation should transcend the current emphasis on organizations and assets/liabilities because despite international coordination and new laws enacted in various countries during 2007-2012, risk regulation remains highly ineffective in many countries.

Financial crises, including those related to sub-prime loans/mortgages, have exposed weaknesses in financial markets and risk management institutions worldwide. In 'Mechanism Design and International Risk Regulation Institutions', Mike Nwogugu explains that ’Risk Management Institutions’ in this context refers not just to organizations, but also to methods, assets/liabilities, mathematical computations, government interventions and regulations that pertain to global risk management. The author suggests that in order to foster economic growth, international risk regulation should transcend the current emphasis on organizations and assets/liabilities because despite international coordination and new laws enacted in various countries during 2007-2012, risk regulation remains highly ineffective in many countries. The author also critiques mechanism design theory (a branch of mathematics) and explains how implementation and divisibility are major elements of, and limitations to mechanisms. The author introduces new mechanisms that pertain to banking, external auditing (auditor selection), securitization, franchising, the corporate entity and credit ratings (all of which in their current form are distinct failed mechanisms). In this book, the author introduces new risk management models; and new methods for the risk-based interpretation of national Constitutions; and explains the symbolic and functional importance of Constitutional Political Economy in legislation and risk management. The Author illustrates the effects of risk regulation on economic growth. The book elucidates mechanism design theories as they relate to risk, and analyses antitrust prediction and franchising models within the context of systemic risk. The Author develops new theories of the firm and mathematical models pertaining to bankruptcy, strategic alliances and M&amp;A transactions. This book will serve the needs of Investment and corporate governance professionals; banking/securitie

Theories and Models for Financial Markets

Mechanism Design and International Risk Regulation Institutions

Skin, Sensing, and Structures

Humanizing Artificial Touch

Plant Intelligent Automation and Digital Transformation: Volume III: Control Intelligence, Networking and Communication Details is an expansive four volume collection reviewing every major aspect of the intelligent automation and digital transformation of power, process, and manufacturing plants, including updates on specific control and automation systems pertinent to various power process plants through manufacturing and factory automation systems. Chapters review new and emergent control intelligence types, including those made possible by artificial intelligence, neural networks, remote control, and robotics. Control system networking and interrelated communication technologies within, and external to, the network are comprehensively addressed. The volume also discusses network usage and system integration through field bus as well as at network levels.

Digital Wisdom

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