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Intelligent Data-Analytics for Condition Monitoring: Smart Grid Applications looks at intelligent and meaningful uses of data required;
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toward the researchers aspiring to learn and apply intelligent data analytics techniques. The first part covers AI, machine learning and data;
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intelligent big data analytics in these fields have yet to be addressed. Managerial Perspectives on Intelligent Big Data Analytics is a collection;
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Big Data Analytics for Intelligent Healthcare Management covers both the theory and application of hardware platforms and architectures;
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systems to make intelligent decisions. Industrial IoT Application Architectures and Use Cases explores how artificial intelligence (AI), data;
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presents next-generation use cases of IoT and IoT data analytics for a variety of industrial verticals as given below: An Intelligent IoT framework;
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Data Analytics for Intelligent Transportation Systems provides in-depth coverage of data-enabled methods for analyzing intelligent;
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This book discusses condition based monitoring of rotating machines using intelligent adaptive systems. The book employs computational;
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This book discusses condition based monitoring of rotating machines using intelligent adaptive systems. The book employs computational;
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This book explores the main concepts, algorithms, and techniques of Machine Learning and data mining for aerospace technology. Satellites;
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Intelligent Environmental Data Monitoring for Pollution Management discusses evolving novel intelligent algorithms and their applications;
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Intelligent Systems and Learning Data Analytics in Online Education provides novel artificial intelligence (AI) and analytics-based methods;
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Intelligent data analytics for terror threat prediction is an emerging field of research at the intersection of information science and;
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Many fundamental technological and managerial issues surrounding the development and implementation of intelligent analytics within multi;
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need for intelligent diagnostics and proposed health monitoring framework is increasingly important within sensing technology, big data;
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, discusses advantages and drawbacks of different approaches, and enables the reader to design and implement data analytics solutions for real-world;
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to focus on data analytics and image processing to develop good intelligent systems. To this end, readers of this volume will find quality;
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of sensor data Discusses intelligent management systems for applications such as healthcare, robotics and environment modeling
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integrating R and Hadoop.This book is ideal for R developers who are looking for a way to perform big data analytics with Hadoop. This book is also;
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). In turn, the book introduces various techniques for synthetic signals generation, as well as vibration-based analysis techniques for large data;
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). In turn, the book introduces various techniques for synthetic signals generation, as well as vibration-based analysis techniques for large data;
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This book focuses on methods and tools for intelligent data analysis, aimed at narrowing the increasing gap between data gathering and data;
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contributions through a thorough peer-reviewing process. Condition Monitoring and Early Fault Detection provide for better efficiency of energy systems;
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advances in intelligent monitoring. The contributions include: * Data fusion in modern surveillance * Distributed;
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AI, Edge, and IoT Smart Agriculture integrates applications of IoT, edge computing, and data analytics for sustainable agricultural;
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Intelligent Data Analysis for Biomedical Applications: Challenges and Solutions presents specialized statistical, pattern recognition;
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A guide to intelligent decision and pervasive computing paradigms for healthcare analytics systems with a focus on the use of bio-sensors;
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