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Anomaly Detection and Complex Event Processing Over IoT Data Streams

2022-01-07 Computers
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Release : 2022-01-07
Genre : Computers
Kind : eBook
Book Rating : 194/5 ( reviews)

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Book Synopsis Anomaly Detection and Complex Event Processing Over IoT Data Streams by : Patrick Schneider

Download or read book Anomaly Detection and Complex Event Processing Over IoT Data Streams written by Patrick Schneider. This book was released on 2022-01-07. Available in PDF, EPUB and Kindle. Book excerpt: Anomaly Detection and Complex Event Processing over IoT Data Streams: With Application to eHealth and Patient Data Monitoring presents advanced processing techniques for IoT data streams and the anomaly detection algorithms over them. The book brings new advances and generalized techniques for processing IoT data streams, semantic data enrichment with contextual information at Edge, Fog and Cloud as well as complex event processing in IoT applications. The book comprises fundamental models, concepts and algorithms, architectures and technological solutions as well as their application to eHealth. Case studies, such as the bio-metric signals stream processing are presented –the massive amount of raw ECG signals from the sensors are processed dynamically across the data pipeline and classified with modern machine learning approaches including the Hierarchical Temporal Memory and Deep Learning algorithms. The book discusses adaptive solutions to IoT stream processing that can be extended to different use cases from different fields of eHealth, to enable a complex analysis of patient data in a historical, predictive and even prescriptive application scenarios. The book ends with a discussion on ethics, emerging research trends, issues and challenges of IoT data stream processing. Provides the state-of-the-art in IoT Data Stream Processing, Semantic Data Enrichment, Reasoning and Knowledge Covers extraction (Anomaly Detection) Illustrates new, scalable and reliable processing techniques based on IoT stream technologies Offers applications to new, real-time anomaly detection scenarios in the health domain

Data Semantic Enrichment for Complex Event Processing Over IoT Data Streams

2019
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Release : 2019
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Kind : eBook
Book Rating : /5 ( reviews)

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Book Synopsis Data Semantic Enrichment for Complex Event Processing Over IoT Data Streams by : Patrick Schneider

Download or read book Data Semantic Enrichment for Complex Event Processing Over IoT Data Streams written by Patrick Schneider. This book was released on 2019. Available in PDF, EPUB and Kindle. Book excerpt: This thesis generalizes techniques for processing IoT data streams, semantically enrich data with contextual information, as well as complex event processing in IoT applications. A case study for ECG anomaly detection and signal classification was conducted to validate the knowledge foundation.

Emerging Trends in Expert Applications and Security

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Kind : eBook
Book Rating : 918/5 ( reviews)

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Book Synopsis Emerging Trends in Expert Applications and Security by : Vijay Singh Rathore

Download or read book Emerging Trends in Expert Applications and Security written by Vijay Singh Rathore. This book was released on . Available in PDF, EPUB and Kindle. Book excerpt:

Advances in Edge Computing: Massive Parallel Processing and Applications

2020-03-10 Computers
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Release : 2020-03-10
Genre : Computers
Kind : eBook
Book Rating : 633/5 ( reviews)

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Book Synopsis Advances in Edge Computing: Massive Parallel Processing and Applications by : F. Xhafa

Download or read book Advances in Edge Computing: Massive Parallel Processing and Applications written by F. Xhafa. This book was released on 2020-03-10. Available in PDF, EPUB and Kindle. Book excerpt: The rapid advance of Internet of Things (IoT) technologies has resulted in the number of IoT-connected devices growing exponentially, with billions of connected devices worldwide. While this development brings with it great opportunities for many fields of science, engineering, business and everyday life, it also presents challenges such as an architectural bottleneck – with a very large number of IoT devices connected to a rather small number of servers in Cloud data centers – and the problem of data deluge. Edge computing aims to alleviate the computational burden of the IoT for the Cloud by pushing some of the computations and logics of processing from the Cloud to the Edge of the Internet. It is becoming commonplace to allocate tasks and applications such as data filtering, classification, semantic enrichment and data aggregation to this layer, but to prevent this new layer from itself becoming another bottleneck for the whole computing stack from IoT to the Cloud, the Edge computing layer needs to be capable of implementing massively parallel and distributed algorithms efficiently. This book, Advances in Edge Computing: Massive Parallel Processing and Applications, addresses these challenges in 11 chapters. Subjects covered include: Fog storage software architecture; IoT-based crowdsourcing; the industrial Internet of Things; privacy issues; smart home management in the Cloud and the Fog; and a cloud robotic solution to assist medical applications. Providing an overview of developments in the field, the book will be of interest to all those working with the Internet of Things and Edge computing.

Machine Learning and Optimization for Engineering Design

2024-01-27 Computers
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Release : 2024-01-27
Genre : Computers
Kind : eBook
Book Rating : 569/5 ( reviews)

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Book Synopsis Machine Learning and Optimization for Engineering Design by : Apoorva S. Shastri

Download or read book Machine Learning and Optimization for Engineering Design written by Apoorva S. Shastri. This book was released on 2024-01-27. Available in PDF, EPUB and Kindle. Book excerpt: This book aims to provide a collection of state-of-the-art scientific and technical research papers related to machine learning-based algorithms in the field of optimization and engineering design. The theoretical and practical development for numerous engineering applications such as smart homes, ICT-based irrigation systems, academic success prediction, future agro-industry for crop production, disease classification in plants, dental problems and solutions, loan eligibility processing, etc., and their implementation with several case studies and literature reviews are included as self-contained chapters. Additionally, the book intends to highlight the importance of study and effectiveness in addressing the time and space complexity of problems and enhancing accuracy, analysis, and validations for different practical applications by acknowledging the state-of-the-art literature survey. The book targets a larger audience by exploring multidisciplinary research directions such as computer vision, machine learning, artificial intelligence, modified/newly developed machine learning algorithms, etc., to enhance engineering design applications for society. State-of-the-art research work with illustrations and exercises along with pseudo-code has been provided here.

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