Bentham Science Publishers

AIoT (Artificial Intelligence of Things) and Big Data Analytics are catalyzing a healthcare revolution. This book is an accessible volume that summarizes the information available. In this book, researchers explore how AIoT and Big Data can seamlessly integrate into healthcare, enhancing medical services and devices while adhering to established protocols. The book demonstrates the crucial role of these technologies during healthcare crises like the COVID-19 pandemic. It presents novel solutions and computational techniques powered by AIoT, Machine Learning, and Deep Learning, providing a new frontier in healthcare problem-solving.

Key Features:

Real-Life Illustrations: Real-world examples showcase AIoT and Big Data in action, highlighting their impact in healthcare.

Comprehensive Exploration: The book offers a thorough examination of AIoT, Big Data, and their harmonious synergy within the healthcare landscape.

Visual Aids: Complex concepts become approachable through diagrams, flowcharts, and infographics, making technical processes and system designs more digestible.

Ethical Insights: Delving into the ethical dimensions of AIoT and Big Data, it addresses concerns like data bias, patient consent, and transparency in healthcare.

Forward-Looking Discourse: The book engages with emerging trends, potential innovations, and the future direction of AIoT and Big Data, making it a compass for healthcare transformation.

Researchers, whether from academia, industry, or research and development organizations, interested in AIoT, Big Data, artificial intelligence, and healthcare optimization, will find this book informative. It also serves as an update for tech enthusiasts who want to explore the future of healthcare powered by AI and data.

Abdominal pain is one of the frequent reasons for admission to emergency departments in hospitals. Diagnosis in patients presenting abdominal pain is a challenge for physicians owing to several indications, and a lack of contraindications. Delay in diagnosis and misdiagnosis is a common problem even for the most experienced emergency physician or general surgeon. Disruptions that may be related to ancillary services such as radiology and biochemistry also increase the difficulty. Abdominal Pain: Essential Diagnosis and Management in Acute Medicine is a definitive diagnosis guide that serves as a quick reference that supplements medical examinations.

It gives physicians involved in a range of medical specialties (emergency medicine, family medicine, gastroenterology, general surgery) an understanding of how to apply procedures to expediently relieve pain where possible, after evaluating and recording the initial vital signs and findings on systemic examination.

Key Features:

- Covers abdominal pain diagnosis and patient management patient in a systematic and structured manner in 12 chapters

- Chapters are dedicated to specific topics

- Presents an individualized approach tailored for the patient to address common problems

- Gives general working knowledge for specific diseases in the list of possible diagnoses

- Provides a guide to situations involving trauma and surgery

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.

This book focuses on crucial characterization methods adopted for materials, design, and performance of secondary batteries. The book is divided into eight chapters aiming to provide comprehensive and essential guidance on battery characterizations. Each chapter focuses on a specific technique: electron microscopy, focused ion beam methods, atomic force microscopy, X-ray photoelectron spectroscopy, time-of-flight secondary ion mass spectra, neutron diffraction, synchrotron-radiation X-ray tomography, and ultrasonic nondestructive testing.

Key Features

· Comprehensive coverage of characterization techniques for secondary battery technology

· Explains the working principle, essential functions and data analysis for each technique

· In-depth review of recent applications of secondary batteries from both material and device perspectives

· Detailed reference list for advanced readers

This monograph is intended as a resource for the broad research community involved in materials and device testing for batteries at academic and industrial levels. It also serves as a reference for engineering students required to learn advanced characterization techniques for developing rechargeable battery technology.

This book focuses on the advanced controller designs of flight vehicle maneuver and operation. Chapters explain advanced control mechanisms and algorithms for different controllers required in a flight vehicle system. The book topics such as air-disturbance fixed time controllers, algorithms for orbit and attitude computation, adaptive control modes, altitude stabilization, nonlinear vibration control, partial space elevator configuration, controls for formation flying and satellite cluster, respectively.

Key features:

1) Includes an investigation of high-precision and high-stability control problems of flight vehicles

2) Multiple complex disturbances are considered to improve robust performance and control accuracy

3)Covers a variety of single spacecraft and distributed space systems (including hypersonic vehicles, flexible aircraft, rigid aircraft, and satellites)

This book will be helpful to aerospace scientists and engineers who are interested in working on the development of flight vehicle maneuver and operation. Researchers studying control science and engineering, and advanced undergraduate and graduate students and professionals involved in the flight vehicle control field will also benefit from the information given in this book.

Geosimulation has recently emerged at the intersection of Geographic Information Science, Complex Systems Theory and Computer Science. Geosimulation aims at understanding the dynamics of complex human-driven spatial systems through the use of spatially explicit computer simulation. The approaches and tools for validating Geosimulation models are especially important for understanding their complex and spatially heterogeneous outcomes. The Ebook presents the recent conceptual and methodological advances achieved in the field.

It should be very useful for scientists and graduate students working in the fields of Complex Systems Modelling, Geocomputation, Science, Geography, Regional Science, Computer Science, Artificial Intelligence, Environment Simulation and Modeling, and Environmental Engineering.

Advanced Machine Learning for Complex Medical Data Analysis is a definitive guide to leveraging machine learning to solve critical challenges in medical data analysis. This book discusses cutting-edge methodologies, from predictive modeling to neural networks, tailored to address the unique complexities of medical and healthcare data. It combines theoretical frameworks with practical applications, ensuring readers gain a comprehensive understanding of both concepts and real-world implementations.

The book covers diverse topics, including medical image denoising, the transformative role of GANs, IoT applications in healthcare, early disease detection using speech data, and COVID detection using autoencoders. It also explores the impact of big data, statistical approaches to medical analytics, and public health improvements through technology.

Key Features:

- Practical insights into deploying advanced machine learning models for healthcare.

- Real-world case studies on diverse diseases and datasets.

- Cutting-edge topics like explainable AI, federated learning, and ethical considerations.

- Methods for improving data accuracy, efficiency, and privacy.