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The Routledge Dictionary of Pronunciation for Current English is the most up-to-date record of the pronunciation of British and American English. Based on research by a joint UK and US team of linguistics experts, this is a unique survey of how English is really spoken in the twenty-first century. This second edition has been fully revised to include: a full reappraisal of the pronunciation models for modern British and American English; 2,000 new entries, including new words from the last decade, encyclopedic terms and proper names; separate IPA transcriptions for British and American English for over 100,000 words; information on grammatical variants including plurals, comparative and superlative adjectives, and verb tenses. The most comprehensive dictionary of its type available, The Routledge Dictionary of Pronunciation for Current English is the essential reference for those interested in English pronunciation.

This book provides information on interdependencies of medicine and telecommunications engineering and how the two must rely on each other to effectively function in this era. The book discusses new techniques for medical service improvisation such as clear-cut views on medical technologies. The authors provide chapters on communication essentiality in healthcare, processing of medical amenities using medical images, the importance of data and information technology in medicine, and machine learning and artificial intelligence in healthcare. Authors include researchers, academics, and professionals in the field.

The illustrated Gaelic dictionary, specially designed for beginners and for use in schools, including every Gaelic word in all the other Gaelic dictionaries as an immense number never in print before

The goal of this book is to explore various security paradigms such as Machine Learning, Big data, Cyber Physical Systems, and Blockchain to address both intelligence and reconfigurability in various IoT devices. The book further aims to address and analyze the state of the art of blockchain-based intelligent networks in IoT systems and related technologies including healthcare sector. AI can ease, optimize, and automate the blockchain-based decision-making process for better governance and higher performance in IoT systems. Considering the incredible progress made by AI models, a blockchain system powered by intelligent AI algorithms can detect the existence of any kind of attack and automatically invoke the required defense mechanisms. In case of unavoidable damage, AI models can help to isolate the compromised component from the blockchain platform and safeguard the overall system from crashing. Furthermore, AI models can also contribute toward the robustness and scalability of blockchain-based intelligent IoT networks. The book is designed to be the first-choice reference at university libraries, academic institutions, research and development centers, information technology centers, and any institutions interested in integration of AI and IoT. The intended audience of this book include UG/PG students, Ph.D. scholars of this fields, industry technologists, young entrepreneurs, professionals, network designers, data scientists, technology specialists, practitioners, and people who are interested in exploring the role of AI and blockchain technology in IoT systems.

This conference brought together experts from 15 countries to discuss application of Artificial Intelligence (AI) techniques to the nuclear industry. It was apparent from the meeting that even those active in the field were surprised at the extent of work and the progress made. There was a strong impression that application of this technology to nuclear power plants is inevitable. The benefits to improved operation, design, and safety are simply too significant to be ignored. This is a much different conclusion than might have been reached a few years ago when the technology was new and people were struggling to understand its significance. We believe that this meeting reflects a major turning point for the technology. It has moved from being a topic understood only by specialists to a situation where users are the most active people in the field. A broad array of innovative work is described from all of the participating countries. The activity in the u.s. is large and diverse. Although there is no nationally focussed policy for AI research in the U.S., many of these activities are reported here. Japan and France have a strong drive to integrate AI technology into their nuclear plants, and this is reflecteq in these proceedings.

This book covers computational statistics-based approaches for Artificial Intelligence. The aim of this book is to provide comprehensive coverage of the fundamentals through the applications of the different kinds of mathematical modelling and statistical techniques and describing their applications in different Artificial Intelligence systems. The primary users of this book will include researchers, academicians, postgraduate students, and specialists in the areas of data science, mathematical modelling, and Artificial Intelligence. It will also serve as a valuable resource for many others in the fields of electrical, computer, and optical engineering. The key features of this book are: Presents development of several real-world problem applications and experimental research in the field of computational statistics and mathematical modelling for Artificial Intelligence Examines the evolution of fundamental research into industrialized research and the transformation of applied investigation into real-time applications Examines the applications involving analytical and statistical solutions, and provides foundational and advanced concepts for beginners and industry professionals Provides a dynamic perspective to the concept of computational statistics for analysis of data and applications in intelligent systems with an objective of ensuring sustainability issues for ease of different stakeholders in various fields Integrates recent methodologies and challenges by employing mathematical modeling and statistical techniques for Artificial Intelligence

This book constitutes the refereed proceedings of the 12th IFIP WG 12.5 International Conference on Artificial Intelligence Applications and Innovations, AIAI 2016, and three parallel workshops, held in Thessaloniki, Greece, in September 2016. The workshops are the Third Workshop on New Methods and Tools for Big Data, MT4BD 2016, the 5th Mining Humanistic Data Workshop, MHDW 2016, and the First Workshop on 5G - Putting Intelligence to the Network Edge, 5G-PINE 2016.The 30 revised full papers and 8 short papers presented at the main conference were carefully reviewed and selected from 65 submissions. The 17 revised full papers and 7 short papers presented at the 3 parallel workshops were selected from 33 submissions. The papers cover a broad range of topics such as artificial neural networks, classification, clustering, control systems - robotics, data mining, engineering application of AI, environmental applications of AI, feature reduction, filtering, financial-economics modeling, fuzzy logic, genetic algorithms, hybrid systems, image and video processing, medical AI applications, multi-agent systems, ontology, optimization, pattern recognition, support vector machines, text mining, and Web-social media data AI modeling.