Описание: This book shares essential insights into how the social sciences and technology could foster new advances in managing the complexity inherent to the criminal and digital policing landscape. Said landscape is both dynamic and intricate, emanating as it does from crimes that are both persistent and transnational. Globalization, human and drug trafficking, cybercrime, terrorism, and other forms of transnational crime can have significant impacts on societies around the world. This necessitates a reassessment of what crime, national security and policing mean. Recent global events such as human and drug trafficking, the COVID-19 pandemic, violent protests, cyber threats and terrorist activities underscore the vulnerabilities of our current security and digital policing posture. This book presents concepts, theories and digital policing applications, offering a comprehensive analysis of current and emerging trends in digital policing. Pursuing an evidence-based approach, it offers an extraordinarily perceptive and detailed view of issues and solutions regarding the crime and digital policing landscape. To this end, it highlights current technological and methodological solutions as well as advances concerning integrated computational and analytical solutions deployed in digital policing. It also provides a comprehensive analysis of the technical, ethical, legal, privacy and civil liberty challenges stemming from the aforementioned advances in the field of digital policing; and accordingly, offers detailed recommendations supporting the design and implementation of best practices including technical, ethical and legal approaches when conducting digital policing. The research gathered here fits well into the larger body of work on various aspects of AI, cybersecurity, national security, digital forensics, cyberterrorism, ethics, human rights, cybercrime and law. It provides a valuable reference for law enforcement, policymakers, cybersecurity experts, digital forensic practitioners, researchers, graduates and advanced undergraduates, and other stakeholders with an interest in counter-terrorism. In addition to this target audience, it offers a valuable tool for lawyers, criminologist and technology enthusiasts.
Автор: M. Rubaiyat Hossain Mondal et al. Название: Emerging technologies for combatting pandemics : ISBN: 1032328282 ISBN-13(EAN): 9781032328287 Издательство: Taylor&Francis Рейтинг: Цена: 17609.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This book focuses on both the design and implementation of AI-based approaches for systems that aid in monitoring and combating pandemics such as occurred with COVID-19. These systems are based on the Internet of Medical Things (IoMT), using sensor networks and other advanced technologies. The book examines different aspects of AI and IoMT.
Автор: Ratten, Vanessa (La Trobe University, Australia) Название: Practical Artificial Intelligence for Internet of Medical Things ISBN: 1032325275 ISBN-13(EAN): 9781032325279 Издательство: Taylor&Francis Рейтинг: Цена: 19906.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This book covers the fundamentals, applications, algorithms, protocols, emerging trends, problems, and research findings in the field of AI and IoT in smart healthcare. It includes working examples, case studies, implementation and management of smart healthcare systems using AI.
Автор: Furht Название: Handbook of Medical and Healthcare Technologies ISBN: 1461484944 ISBN-13(EAN): 9781461484943 Издательство: Springer Рейтинг: Цена: 23757.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: The first part of the book presents medical technologies such as medical information retrieval, tissue engineering techniques, 3D medical imaging, nanotechnology innovations in medicine, medical wireless sensor networks, and knowledge mining techniques in medicine.
Автор: Mcgrath, Michael J. Scanaill, Cliodhna Ni Nafus, Dawn Название: Sensor technologies: healthcare, wellness and environmental applications ISBN: 1430260130 ISBN-13(EAN): 9781430260134 Издательство: Springer Рейтинг: Цена: 4186.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Chapter One: Introduction
Chapter Goal: Reader should understand the key challenges and drivers for sensor application development. The reader should also understand how sensor technologies can play a role in addressing some of the key challenges facing global society in the short to medium term. 1. Book overview 2. Drivers for Sensor Applications (Infrastructure Growth in Developing Countries, Advances in Energy Harvesting, New Applications, Cost reduction, Real-time monitoring of situations to avoid unplanned downtime, Security (personal and national), the internet of things). 3. Challenges for Sensor Applications (Power, Efficient Operation in Harsh Environments, Number of Deployable Nodes, Safety and Regulations, High Cost of Installation, Security and Reliability, sensor management) 4. Global Megatrends and the opportunities for sensing technologies o Water and Food Constraints o Aging Demographics o Public Health o Pandemics o Security
Chapter 2: Sensing and Sensor Fundamentals
Chapter Goal: Reader should understand existing sensor technologies, which can be used in healthcare, wellness, and environmental domains. They should also understand the role of smart sensors and smart phones as mobile sensing platforms and aggregators. 1. Sensing Modalities (Mechanical, MEMS, Optical, ISFET, TAS) 2. Sensing Domains (Air, Water, Noise, Bacterial, Chemical, Kinematic, DNA, Physiological) 3. Functional Characterisation of Sensors o Communication methods - discrete, wired, wireless o Smart Sensors and Sensor Platforms MSP430 (SHIMMER and telosB motes) ATmega PIC 4. Smart Phones as mobile sensor platforms 5. Selecting and specifying sensors
Chapter 3 Key Sensor Technology Components - Hardware and Software Overview Chapter Goal: Reader should have a high level understanding of the key hardware and software components, which are necessary for the development of sensors systems and why technologies are selected for specific applications. 1. Overview - Sensor systems 2. MCU's (TI MSP430, ATmega, PIC) a. ADCs b. Interrupts c. Real-time Clocks 3. Sensor Interfaces a. Digital b. Analog c. I2C 4. Communications - wired and wireless interfaces RS232/485, USB, Ethernet, FieldbusProprietary Short Range Wireless Protocols (e.g. ANT, BodyLAN, Sensium)Standard Short Range Protocols i. IEEE 802.15.6 ii. Bluetooth/Smart Bluetooth iii. 802.15.4 iv. UWB Medium Range i. Wi-Fi 5. Data storage (EEPROM, sd card, data forwarding) 6. Power management and Energy Harvesting 7. Operating Systems and Software Development Environments (SDK's)
Chapter 4 Sensor Network Architectures
Chapter Goal: Reader should understand the various approaches to the design of sensor network architectures; scaling from body worn systems, to ambient sensing, to city-scale deployments. The reader should also understand the advantages and disadvantages of current and evolving sensor network architectures. 1. Sensor network architectures o Discrete Sensor o Sensor to aggregator o PAN/WPAN/smart clothing o Pervasive/Ambient sensor networks o Wide area networks (city-wide, country wide) 2. Challenges in developing and deploying sensor networks 3. Current and Proposed Solutions o Remote sensor management o Edge Processing o Power harvesting o New communication standards Chapter 5: Adding Vibrancy to Sensor Data Chapter Goal: Reader shoul
Описание: The technologies that are included in this book play a significant role in tackling COVID-19 in the future. The scope of this book is to cover all advanced emerging technologies and artificial intelligence techniques to fight against COVID-19 pandemic.
Автор: Kolasa, Katarzyna Название: The Digital Transformation of the Healthcare System ISBN: 1032393343 ISBN-13(EAN): 9781032393346 Издательство: Taylor&Francis Рейтинг: Цена: 19906.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Автор: Bhushan, Bharat (sharda University, India) Rakesh, Nitin (sharda University, India) Astya, Parma Nand (sharda University, Ghaziabad) Farhaoui, Yousef Название: Machine learning and deep learning in efficacy improvement of healthcare systems ISBN: 1032036729 ISBN-13(EAN): 9781032036724 Издательство: Taylor&Francis Рейтинг: Цена: 16843.00 р. Наличие на складе: Поставка под заказ.
Описание: The goal of medical informatics is to improve life expectancy, disease diagnosis and quality of life. Medical devices have revolutionized healthcare and have led to the modern age of machine learning, deep learning and Internet of Medical Things (IoMT) with their proliferation, mobility and agility. This book exposes different dimensions of applications for computational intelligence and explains its use in solving various biomedical and healthcare problems in the real world. This book describes the fundamental concepts of machine learning and deep learning techniques in a healthcare system. The aim of this book is to describe how deep learning methods are used to ensure high-quality data processing, medical image and signal analysis and improved healthcare applications. This book also explores different dimensions of computational intelligence applications and illustrates its use in the solution of assorted real-world biomedical and healthcare problems. Furthermore, it provides the healthcare sector with innovative advances in theory, analytical approaches, numerical simulation, statistical analysis, modelling, advanced deployment, case studies, analytical results, computational structuring and significant progress in the field of machine learning and deep learning in healthcare applications.FEATURESExplores different dimensions of computational intelligence applications and illustrates its use in the solution of assorted real-world biomedical and healthcare problems Provides guidance in developing intelligence-based diagnostic systems, efficient models and cost-effective machines Provides the latest research findings, solutions to the concerning issues and relevant theoretical frameworks in the area of machine learning and deep learning for healthcare systems Describes experiences and findings relating to protocol design, prototyping
Описание: This book intends to provide a reference manual to assist professionals and academics on further insights regarding: the impact of digital technologies in business, how to implement digital technologies, solutions for specific digital technologies barriers, and much more.
Описание: Biomedical Applications of Nanoparticles describes the most interesting and investigated biomedical applications of nanoparticles, emphasizing their therapeutic impact. Progress made in the therapy of severe diseases, such as cancer and difficult infections is strictly correlated to the scientific progress and technological development in the field of materials science. Nanoparticles have numerous therapeutic applications, starting with the design of new drugs, delivery systems, therapeutic materials, and their contribution to the development of preventive strategies. The book highlights the impact of nanoparticles on the therapy of infections, antimicrobial effect and also anti-cancer strategies. . Successful examples are given throughout the book, along with analysis in order to improve future outcomes of novel therapies.
Название: Biomedical signal processing for healthcare applications ISBN: 0367705877 ISBN-13(EAN): 9780367705879 Издательство: Taylor&Francis Рейтинг: Цена: 18374.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This book examines the use of biomedical signal processing—EEG, EMG, and ECG—in analyzing and diagnosing various medical conditions, particularly diseases related to the heart and brain. In combination with machine learning tools and other optimization methods, the analysis of biomedical signals greatly benefits the healthcare sector by improving patient outcomes through early, reliable detection. The discussion of these modalities promotes better understanding, analysis, and application of biomedical signal processing for specific diseases.The major highlights of Biomedical Signal Processing for Healthcare Applications include biomedical signals, acquisition of signals, pre-processing and analysis, post-processing and classification of the signals, and application of analysis and classification for the diagnosis of brain- and heart-related diseases. Emphasis is given to brain and heart signals because incomplete interpretations are made by physicians of these aspects in several situations, and these partial interpretations lead to major complications.FEATURESExamines modeling and acquisition of biomedical signals of different disordersDiscusses CAD-based analysis of diagnosis useful for healthcareIncludes all important modalities of biomedical signals, such as EEG, EMG, MEG, ECG, and PCGIncludes case studies and research directions, including novel approaches used in advanced healthcare systemsThis book can be used by a wide range of users, including students, research scholars, faculty, and practitioners in the field of biomedical engineering and medical image analysis and diagnosis.
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