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Machine Learning Paradigm for Internet of Things Applications

MACHINE LEARNING PARADIGM FOR INTERNET OF THINGS APPLICATIONS As companies globally realize the revolutionary potential of the IoT, they;

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Machine Learning and the Internet of Medical Things in Healthcare

Machine Learning and the Internet of Medical Things in Healthcare discusses the applications and challenges of machine learning for;

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Applied Machine Learning for Smart Data Analysis

The book focuses on how machine learning and the Internet of Things (IoT) has empowered the advancement of information driven arrangements;

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Machine Learning Modeling for IoUT Networks

This book discusses how machine learning and the Internet of Things (IoT) are playing a part in smart control of underwater environments;

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Cognitive Internet of Medical Things for Smart Healthcare

Internet of Medical Things. These applications geared towards IoMT cloud analysis, machine learning, computer vision and deep learning have enabled;

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Applications of Internet of Things

topics related to IoT (Internet of Things) and communications, and machine learning for applications such as energy management systems, smart;

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The International Conference on Advanced Machine Learning Technologies and Applications (Amlta2018)

cover current research in machine learning, big data, Internet of Things, biomedical engineering, fuzzy logic, security, and intelligence swarms;

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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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Advanced Machine Learning Technologies and Applications

Group in Egypt (SRGE). The papers cover current research in machine learning, big data, Internet of Things, biomedical engineering, fuzzy logic;

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Machine Learning and Metaheuristics Algorithms, and Applications

reviewed and selected from 53 qualified submissions. The papers cover such topics as machine learning, artificial intelligence, Internet of Things;

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Internet of Things

The book aim is to define the Internet of Things (IoT) in a global view, present the research agenda for Internet of Things technologies by;

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Machine Learning and Metaheuristics Algorithms and Applications

machine learning, artificial intelligence, Internet of Things, modeling and simulation, disctibuted computing methodologies, computer graphics;

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Machine Learning Technologies and Applications

intelligence, machine learning, data mining and big data computing, cloud computing, Internet of things, distributed computing and smart systems.;

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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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Advanced Machine Learning Technologies and Applications

current research Artificial Intelligence Against COVID-19, Internet of Things Healthcare Systems, Deep Learning Technology, Sentiment analysis;

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Machine Learning for Healthcare

Machine Learning for Healthcare: Handling and Managing Data provides in-depth information about handling and managing healthcare data;

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Reinforcement and Systemic Machine Learning for Decision Making

Reinforcement and Systemic Machine Learning for Decision Making explores a newer and growing avenue of machine learning algorithm in the;

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Proceedings of International Conference on Recent Trends in Machine Learning Io

trends in machine learning, Internet of things, and smart cities applications, with a focus on multi-disciplinary research in the area;

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Sensor Analysis for the Internet of Things

improved internet connectivity, have enabled cost-effective wearable and Internet of Things sensor applications. At the same time, machine learning;

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Intelligent Systems in Big Data, Semantic Web and Machine Learning

intelligence techniques for detecting COVID-19, the Internet of things, etc. The book is meant to be a very important and useful source of information;

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Intelligent Systems

This book features best selected research papers presented at the International Conference on Machine Learning, Internet of Things and Big;

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Computers as Components

in embedded systems technology and design while updating material throughout the book and introducing new content on machine learning and Internet;

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Big Data, IoT, and Machine Learning

of Machine Learning, and Section II addresses issues about Big Data, the Cloud and the Internet of Things. This brings all the related technologies;

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Proceedings of the International Conference on Artificial Intelligence and Computer Vision (AICV2021)

sections, covering the following topics: Deep Learning and Applications; Smart Grid, Internet of Things, and Mobil Applications; Machine Learning;

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Bioelectronics and Medical Devices

of concepts and technologies, discussing such modern technological methods as the Internet of Things, e-pills, biomedical sensors, support vector;

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Machine Learning for Biometrics

Machine Learning for Biometrics: Concepts, Algorithms and Applications highlights the fundamental concepts of machine learning;

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Internet Of Things

Internet of Things: Principles and Paradigms captures the state-of-the-art research in Internet of Things, its applications;

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