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AI and Machine Learning Paradigms for Health Monitoring System

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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Machine Learning and AI for Healthcare

in massive data, machine learning, and AI ethics. It covers new topics in managing the complexities of massive data, and provides examples of complex;

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Innovative Smart Healthcare and Bio-Medical Systems

Advances in smart healthcare systems (SHS) and artificial intelligence (AI) domains highlight the need for ICT systems that aim not only to;

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Artificial Intelligence and Machine Learning in Public Healthcare

, AI in precision medicine and data privacy issues. Public health requires special attention as it drives economy and education system. COVID;

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Artificial Intelligence for Business

easily explain AI paradigms and concepts for business students and executives. Artificial Intelligence for Business is divided into six chapters;

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Applied Machine Learning for Health and Fitness

scientist, machine learning practitioner or anyone interested in AI applications. These ML models and methods can be used to create solutions for AI;

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Structural Health Monitoring

structures. This paradigm provides a comprehensive framework for developing SHM solutions. Structural Health Monitoring: A Machine Learning;

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Perioperative Monitoring, An Issue of Anesthesiology Clinics

monitoring, Coagulation, Ultrasound - the new stethoscope (POCUS), Mobile and Remote monitoring, smart phone use, AI, machine learning, deep learning;

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Artificial Intelligence for IoT Cookbook

, such as natural language processing (NLP), computer vision, and embedded machine learning for building smart IoT systems. In addition to this;

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Structural Health Monitoring and Engineering Structures

learning, deep learning, Artificial intelligent and non-destructive evaluation. It will be a reference for professionals and students in the areas;

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Machine Learning and Artificial Intelligence for Agricultural Economics

This book discusses machine learning and artificial intelligence (AI) for agricultural economics. It is written with a view towards;

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Beginning Artificial Intelligence with the Raspberry Pi

AI topics will be explored, including expert systems, machine learning both shallow and deep, fuzzy logic control, and more! AI in action;

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Artificial Intelligence Trends for Data Analytics Using Machine Learning and Deep Learning Approaches

Artificial Intelligence (AI), when incorporated with machine learning and deep learning algorithms, has a wide variety of applications;

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AI and Machine Learning

A primer to AI and Machine Learning which also touches upon "good" and "bad" AI and its relationship with governments and corporations.;

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Artificial Intelligence for the Internet of Health Things

This book discusses research in Artificial Intelligence for the Internet of Health Things. It investigates and explores the possible;

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Machine Learning with Health Care Perspective

machine learning research in healthcare informatics. Providing a unique compendium of current and emerging machine learning paradigms for;

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Machine Learning with Health Care Perspective

machine learning research in healthcare informatics. Providing a unique compendium of current and emerging machine learning paradigms for;

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Intelligent Feature Selection for Machine Learning Using the Dynamic Wavelet Fingerprint

features for machine learning and pattern classification in time-domain signals. Whether for medical imaging or structural health monitoring, it;

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Intelligent Feature Selection for Machine Learning Using the Dynamic Wavelet Fingerprint

features for machine learning and pattern classification in time-domain signals. Whether for medical imaging or structural health monitoring, it;

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Machine Learning in Cognitive IoT

integration of Machine Learning in IoT for building an efficient decision support system Covers IoT, CIoT, machine learning paradigms and models;

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Machine Learning and Data Mining in Aerospace Technology

This book explores the main concepts, algorithms, and techniques of Machine Learning and data mining for aerospace technology. Satellites;

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Machine Learning and Artificial Intelligence in Marketing and Sales

methods for addressing marketing and sales problems will benefit most if they are exposed to how AI and machine learning have been applied;

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Condition Monitoring with Vibration Signals

Condition Monitoring with Vibration Signals: Compressive Sampling and Learning Algorithms for Rotating Machines starts by introducing readers to;

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Intelligent Computing Applications for COVID-19

AI and statistical applications can facilitate and restructure the healthcare system. This book is written for Researchers Students;

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Artificial Intelligence and Machine Learning for EDGE Computing

Artificial Intelligence and Machine Learning for Predictive and Analytical Rendering in Edge Computing focuses on the role of AI and;

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AI 2006: Advances in Artificial Intelligence

, Australia, December 2006. Coverage includes foundations and knowledge based system, machine learning, connectionist AI, data mining, intelligent;

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Artificial Intelligence

, and Deep Learning in its many forms; key ML and DL algorithms data scientists should learn; ethical challenges for the use of AI; how AI;

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