Bentham Science Publishers

This book demonstrates several use cases of how artificial intelligence (AI) and machine learning (ML) are revolutionizing problem-solving across various industries. The book presents 18 edited chapters beginning with the latest advancements in human-AI interactions and neuromorphic computing, setting the stage for practical applications.

Chapters focus on AI and ML applications such as fingerprint recognition, glaucoma detection, and lung cancer identification using image processing. The book also explores the role of AI in professional operations such as UX design, event detection, and content analysis. Additionally, the book includes content that examines AI's impact on technical operations wireless communication, VLSI systems, and advanced manufacturing processes. Each chapter contains summaries and references for addressing the needs of beginner and advanced readers.

This comprehensive guide is an essential resource for anyone seeking to understand AI's transformative role in modern problem-solving in professional industries.

Rapid Solidification Processing of molten metals and alloys has proved to be a reliable route for producing new and advanced materials. The Chill-Block Melt Spin (CBMS) technique is important because its simplicity, flexibility and perfection. High quality materials can be produced with lower costs, as compared to other routes, by refining the microstructure and trapping the nucleated (new) metastable phases. Melt-spun ribbons subsequently produced can then be consolidated to produce billets and sheets that can be used in many industries especially high-tech industries such as aerospace and racing automobiles. This book contains several perspectives about CBMS technology and should be a useful review for undergraduate and post-graduate metallurgy students.

AI Innovations in Drug Delivery and Pharmaceutical Sciences: Advancing Therapy through Technology offers a comprehensive exploration of how artificial intelligence (AI) is revolutionizing the pharmaceutical and healthcare sectors. This book addresses the AI’s role in drug discovery, development, and delivery, highlighting applications in personalized medicine, nanotechnology, and clinical trials. It also covers AI’s impact on community and hospital pharmacy, herbal medicine, and drug product design.

Each chapter examines the use of AI in optimizing drug processes, from designing innovative therapies to improving regulatory compliance and future trends in pharmaceutical technology. This insightful resource is invaluable for researchers, pharmaceutical professionals, and healthcare innovators aiming to advance therapeutic outcomes through AI.

Key Features:

- Comprehensive coverage of AI applications in drug discovery, delivery, and design.

- Insights into AI-driven personalized medicine and nanotechnology.

- Regulatory perspectives on AI in drug delivery and medical devices.

- Future trends and innovations in AI for pharmaceutical technology.

AI and ML in Early Warning Systems for Natural Disasters bridges the gap between advanced computational models and real-world disaster management practices by highlighting how data-driven intelligence can enhance resilience planning and reduce risks in the face of climate change and extreme environmental events.

Beginning with an overview of traditional early warning systems and the limitations they face in accuracy and timeliness The book sheds light on to AI- and ML-driven approaches, detailing predictive analytics, anomaly detection, sensor networks, geospatial data integration, and IoT-enabled monitoring systems. Case studies on earthquake prediction, flood forecasting, cyclone tracking, and wildfire detection illustrate the practical applicability of AI-powered models across diverse contexts. Later chapters examine legal frameworks, ethical considerations, and community-based strategies that ensure responsible, sustainable, and inclusive deployment of these technologies.

Key Features

Presents AI and ML techniques for predictive analytics, anomaly detection, and risk modeling in disaster scenarios.

Demonstrates real-world applications through case studies on earthquakes, floods, cyclones, and wildfires.

Explores integration of satellite imagery, remote sensing, and IoT-based sensor networks for real-time monitoring.

Assesses legal, regulatory, and ethical frameworks shaping AI use in disaster preparedness.

Provides multidisciplinary insights, blending computer science, engineering, and disaster management for resilient community planning.

Positioned at the intersection of intelligent transportation systems (ITS), computer vision, and machine learning, this book presents a comprehensive examination of how artificial intelligence and statistical techniques are reshaping traffic monitoring, management, and urban mobility in the era of smart cities.

The book begins with the core principles of AI and traffic systems, introducing statistical modeling, data acquisition, and image processing for traffic analysis. Midway, it transitions into deep learning-powered applications such as object detection, vehicle tracking, congestion forecasting, and real-time incident recognition. Later sections address legal, regulatory, and ethical frameworks, while concluding chapters highlight IoT-enabled models and future trajectories in AI-powered traffic management.

Key Features:

Introduces principles of AI, machine learning, and statistical modeling for traffic systems

Demonstrates applications of deep learning in congestion prediction, incident detection, and vehicle tracking

Examines AI-driven traffic optimization, urban mobility solutions, and self-driving technologies

Evaluates security, data privacy, and legal considerations in AI-based traffic surveillance

Integrates AI with IoT frameworks for real-time monitoring in smart city infrastructure

Highlights future directions and policy implications for sustainable and ethical traffic management.

Watching TV, surfing the Internet, and sitting for long hours have replaced more active pursuits. Millions of Americans are simply not moving enough to meet the minimum threshold for good health and longevity. Exercise physiologists have researched and highlighted this fact for decades. That is why they emphasize the importance of regular exercise in the prevention of chronic diseases associated with physical inactivity and a sedentary lifestyle. Heart disease, obesity, type 2 diabetes, high blood pressure, stroke, peripheral arterial disease, depression, several types of cancers, and osteoporosis can be treated or even prevented with properly prescribed exercise. There is a need for integrating exercise physiology knowledge and rehabilitation programs as a continuous part of the healthcare profession. This opens up the opportunity for new approaches to manage patients suffering from chronic diseases and disabilities. ASEP’s Exercise Medicine Text for Exercise Physiologists is designed to educate exercise physiologists about the significance of professionalism in exercise physiology, exercise medicine, and entrepreneurship opportunities. It combines scientific principles with cardiovascular calculation steps that support its use in the development of safe, well-rounded, and individualized exercise programs to help clients and patients sleep better, reduce stress, maintain a healthy body weight, keep bones strong and joints healthy, decrease the risk for colon cancer, and improve mental function. This textbook demonstrates the importance of exercise medicine, and will familiarize readers with ASEP guidelines. Exercise physiologists in training will, therefore, be prepared for contributing a meaningful role in the healthcare services sector.

Frontiers in Electrical Engineering is a book series dedicated to publishing current research in the field of electrical engineering and electronics. The vast amount of publications concerning these fields are summarized in each series volumes with a key focus on device structures and fabrication techniques that are pertinent to the practical production processes and electronic applications.

This volume presents an introduction to the subject of Active-Matrix Organic Light-Emitting Display (AMOLED) technology. AMOLEDs are generally integrated into electronic applications and production processes, including understanding basic optical LED (OLED) working principles and the fabrication and characterization of electronic and semiconductor devices. Other applications of AMOLEDs include white OLEDs, light outcoupling, encapsulation, thin film transistor backplanes, driving schemes, and circuit and layout design technologies.

This volume will be helpful to novice scientists and engineers working on the development of practical OLED display and OLED lighting technology. Researchers studying organic electronics and advanced undergraduate and graduate students and professionals involved in the OLED industry will also benefit from the information given in this monograph.

This Ebook describes the hazardous effects of magnetic fields and explains how exposure to high voltage transmission line magnetic field could affect human lives. It explains how newly developed methods enable experts to completely mitigate the magnetic field at any point of consideration and also to simultaneously achieve noticeable cancellation of the field at other locations.

Advanced Catalysts Based on Metal-organic Frameworks is a comprehensive introduction to advanced catalysts based on MOFs. It covers basic information about MOF catalysts with industrial and environmental applications. The detailed chapters update readers on current applications and strategies to apply MOF-based catalysts in industrial processes geared for sustainability initiatives such as renewable energy, pollution control and combating carbon emissions.

Key Features

- 13 structured, easy to read chapters that comprehensively cover MOF catalysts

- An introduction to basic information about MOF catalysts

- In-depth coverage of advanced applications of MOF catalysts

- Explanation of MOF modifications and applications of derivative compounds

- In-depth coverage of MOF catalysts used for electrocatalysis and photocatalysis

- Detailed explanation of environmental-friendly and sustainable technologies (biomass upgrading, water purification, CO2 capture)

- Updated references for advanced readers

The is an essential reference for chemical engineers, scientists in the manufacturing and sustainability industry and post-graduate scholars working on MOFs and chemical catalysis.