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Decoding AI

Practical Implementations for Business Operations

Trusted Generative AI and Large Language Models for Health Informatics

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

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

Transforming Energy Distribution for a Sustainable Tomorrow

Microgrid Revolution

Art in the Age of AI

How to See Like a Machine

Human Machine Integration in Industry 5.0

Digital Twin and Digital Triplet Technologies

Eeg Signal Classification Using Machine Learning

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.

Theories and Models for Financial Markets

Mechanism Design and International Risk Regulation Institutions

Skin, Sensing, and Structures

Humanizing Artificial Touch

Navigating Industry 4.0 and Anticipating Industry 5.0

Decoding Explainable AI

Smart Cities of AI Robots and Autonomous Vehicles: The Vision for 2030 explores the transformative potential and challenges of integrating AI-powered robots and autonomous vehicles in urban landscapes, envisioning a futuristic smart city landscape by 2030. It examines how artificial intelligence (AI) robots and self-driving cars will transform daily life, healthcare, education, industry, agriculture, and transportation.

The Vision for 2030

Smart Cities of AI Robots and Autonomous Vehicles

Deep Learning in Computer Vision

Decoding AI

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