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Artificial Intelligence in Cutaneous Lesions: Where do we Stand and What is Next?
There has been a growing amount of research detailing the use of Artificial Intelligence (AI) in cutaneous diseases. Nonetheless, we still do not have a regulatory agency approved app or computer system being used by dermatologists (or other physicians that could be confronted with challenging skin lesions) in daily practice. Why is this? Where do we stand now? What is next in this field? It is time to deeply explore this theme.
Intelligent Prognostics for Engineering Systems with Machine Learning Techniques
The text discusses the latest data-driven, physics-based, and hybrid approaches employed in each stage of industrial prognostics and reliability estimation. It will be a useful text for senior undergraduate, graduate students, and academic researchers in areas such as industrial and production engineering, electrical engineering, and computer science. The book Discusses basic as well as advance research in the field of prognostics Explores integration of data collection, fault detection, degradation modeling and reliability prediction in one volume Covers prognostics and health management (PHM) of engineering systems Discusses latest approaches in the field of prognostics based on machine learning The text deals with tools and techniques used to predict/ extrapolate/ forecast the process behavior, based on current health state assessment and future operating conditions with the help of Machine learning. It will serve as a useful reference text for senior undergraduate, graduate students, and academic researchers in areas such as industrial and production engineering, manufacturing science, electrical engineering, and computer science.
Personalized Medicine in the Making
This book offers a multidisciplinary look at the much-debated concept of “personalized medicine”. By combining a humanistic and a scientific approach, the book builds up a multidimensional way to understand the limits and potentialities of a personalized approach in medicine and healthcare. The book reflects on personalized medicine and complex diseases, the relationship between personalized medicine and the new bio-technologies, personalized medicine and personalized nutrition, and on some ethical, political, economic, and social implications of personalized medicine. This volume is of interest to researchers from several disciplines including philosophy, bio-medicine, and the social sciences. Chapter 16, “The Impact of Fantasy” is available open access under a Creative Commons Attribution 4.0 International License via link.springer.com.
Counter-Terrorism
This insightful book provides an analysis of the central ethical issues that have arisen in combatting global terrorism and, in particular, jihadist terrorist groups, notably Al Qaeda, Islamic State and their affiliates. Chapters explore the theoretical problems that arise in relation to terrorism, such as the definition of terrorism and the concept of collective responsibility, and consider specific ethical issues in counter-terrorism.
Parallel Computing: Technology Trends
The year 2019 marked four decades of cluster computing, a history that began in 1979 when the first cluster systems using Components Off The Shelf (COTS) became operational. This achievement resulted in a rapidly growing interest in affordable parallel computing for solving compute intensive and large scale problems. It also directly lead to the founding of the Parco conference series. Starting in 1983, the International Conference on Parallel Computing, ParCo, has long been a leading venue for discussions of important developments, applications, and future trends in cluster computing, parallel computing, and high-performance computing. ParCo2019, held in Prague, Czech Republic, from 10 – ...
Artificial Intelligence for Disease Diagnosis and Prognosis in Smart Healthcare
Artificial Intelligence (AI) in general and machine learning (ML) and deep learning (DL) in particular and related digital technologies are a couple of fledging paradigms that next-generation healthcare services are sprinting towards. These digital technologies can transform various aspects of healthcare, leveraging advances in computing and communication power. With a new spectrum of business opportunities, AI-powered healthcare services will improve the lives of patients, their families, and societies. However, the application of AI in the healthcare field requires special attention given the direct implication with human life and well-being. Rapid progress in AI leads to the possibility o...
The International Directory of Government 2022
The International Directory of Government is the definitive guide to people in power in every part of the world. All the top decision-makers are included in this one-volume publication, which brings together government institutions, agencies and personnel from the largest nations (China, India, Russia, etc.) to the smallest overseas dependencies (Guadeloupe, Guernsey and Christmas Island, etc). Institutional entries contain the names and titles of principal officials, postal, e-mail and internet addresses, telephone and fax numbers where applicable, and other relevant details. Key features: - comprehensive lists of government ministers and ministries - coverage of state-related agencies and other institutions arranged by subject heading - details of important state, provincial and regional administrations, including information on US states, Russian republics, and the states and territories of India. Contents include: A comprehensive directory section organized by country or territory; Details of co-ordinating bodies, and of foundations, trusts and non-profit organizations; A full index of organizations, and indexes by main activity and by geographical area of activity.
Machine Learning Methods for Signal, Image and Speech Processing
The signal processing (SP) landscape has been enriched by recent advances in artificial intelligence (AI) and machine learning (ML), yielding new tools for signal estimation, classification, prediction, and manipulation. Layered signal representations, nonlinear function approximation and nonlinear signal prediction are now feasible at very large scale in both dimensionality and data size. These are leading to significant performance gains in a variety of long-standing problem domains like speech and Image analysis. As well as providing the ability to construct new classes of nonlinear functions (e.g., fusion, nonlinear filtering). This book will help academics, researchers, developers, graduate and undergraduate students to comprehend complex SP data across a wide range of topical application areas such as social multimedia data collected from social media networks, medical imaging data, data from Covid tests etc. This book focuses on AI utilization in the speech, image, communications and yirtual reality domains.
Beating Melanoma
"The work updates the popular original with new information about screening, staging, treatments, prevention and more"--
