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IoT Streams for Data-Driven Predictive Maintenance and IoT, Edge, and Mobile for Embedded Machine Learning

Streams 2020, and First International Workshop on IoT, Edge, and Mobile for Embedded Machine Learning, ITEM 2020, co-located with ECML/PKDD 2020;

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Artificial Intelligence for IoT Cookbook

, NLP, and embedded machine learning Build, maintain, and deploy machine learning systems to extract key insights from IoT data Book;

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Hands-On Deep Learning for IoT

learning can improve the predictive power in your IoT solutions Capture and process streaming data for predictive maintenance Select optimal;

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Anomaly Detection and Complex Event Processing Over IoT Data Streams

advanced processing techniques for IoT data streams and the anomaly detection algorithms over them. The book brings new advances and generalized;

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Machine Learning, Big Data, and IoT for Medical Informatics

Machine Learning, Big Data, and IoT for Medical Informatics focuses on the latest techniques adopted in the field of medical informatics;

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Big-Data Analytics for Cloud, IoT and Cognitive Computing

analytics and Hadoop and Spark programming. Part 1 focuses on data science, the roles of clouds and IoT devices and frameworks for big-data;

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Machine Learning Paradigm for Internet of Things Applications

learning and IoT data are predictive maintenance, followed by analyzing CCTV surveillance, smart home applications, smart-healthcare, in-store;

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Data Intensive Industrial Asset Management: Iot-Based Algorithms and Implementation

challenges of the parameter selection, statistical data analysis, predictive algorithms, big data storage and selection, data pattern recognition;

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Intelligent Workloads at the Edge

Explore IoT, data analytics, and machine learning to solve cyber-physical problems using the latest capabilities of managed services such;

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The 2021 International Conference on Machine Learning and Big Data Analytics for IoT Security and Privacy

This book presents the proceedings of the 2020 2nd International Conference on Machine Learning and Big Data Analytics for IoT Security and;

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Big Data Analytics for Cyber-Physical Systems

with a broad list of data analytics and machine learning methods for multiple IoT applications. Additionally, this volume addresses the;

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The 2020 International Conference on Machine Learning and Big Data Analytics for IoT Security and Privacy

This book presents the proceedings of The 2020 International Conference on Machine Learning and Big Data Analytics for IoT Security and;

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The 2020 International Conference on Machine Learning and Big Data Analytics for IoT Security and Privacy

This book presents the proceedings of The 2020 International Conference on Machine Learning and Big Data Analytics for IoT Security and;

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Context-Aware Machine Learning and Mobile Data Analytics

well as researchers. Overall, this book provides a good reference for both academia and industry people in the broad area of data science;

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Data Intensive Industrial Asset Management

challenges of the parameter selection, statistical data analysis, predictive algorithms, big data storage and selection, data pattern recognition;

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Applied Machine Learning for Smart Data Analysis

such as machine learning, security, IoT and data mining, the concepts are explained with practical implementation including results. Key;

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Industrial IoT Application Architectures and Use Cases

applications. This book presents next-generation use cases of IoT and IoT data analytics for a variety of industrial verticals as given below;

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Industrial IoT Application Architectures and Use Cases

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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Big Data Analytics for Internet of Things

, descriptive, and prescriptive analytics A treatment of machine learning techniques for IoT data analytics Perfect for professionals, industry;

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Internet of Things

, distributed cloud and edge computing, and the use of machine learning and artificial intelligence for IoT. . A chapter on security, outlining the;

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Machine Learning and Knowledge Discovery in Databases

Applications Workshop, DINA 2019; Workshop on Machine Learning for Cybersecurity, MLCS 2019; Workshop on Sports Analytics: Machine Learning and Data;

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Azure Internet of Things Revealed

needs Connect IoT devices to Azure for data collection and delivery of services Use Azure Machine Learning and Cognitive Services to;

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AI, Edge and IoT-based Smart Agriculture

AI, Edge, and IoT Smart Agriculture integrates applications of IoT, edge computing, and data analytics for sustainable agricultural;

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Internet of Things (IoT) Technologies for HealthCare

-Health, emerging e-Health IoT applications, signal processing and analysis , the smartphones as a healthy thing, machine learning and deep;

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Hands-On Artificial Intelligence for IoT

data from various distributed sources Perform supervised and unsupervised machine learning for IoT data Implement distributed processing of IoT;

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Proceedings of the International Conference on Big Data, IoT, and Machine Learning

data, IoT and machine learning. The book will be helpful for active researchers and practitioners in the field.;

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Analytics for the Internet of Things (IoT)

Who This Book Is For This book targets developers, IoT professionals, and those in the field of data science who are trying to solve;

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