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Advanced Concepts, Methods, and Applications in Semantic Computing

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Release : 2020-12-18
Genre : Computers
Kind : eBook
Book Rating : 998/5 ( reviews)

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Book Synopsis Advanced Concepts, Methods, and Applications in Semantic Computing by : Daramola, Olawande

Download or read book Advanced Concepts, Methods, and Applications in Semantic Computing written by Daramola, Olawande. This book was released on 2020-12-18. Available in PDF, EPUB and Kindle. Book excerpt: Semantic computing is critical for the development of semantic systems and applications that must utilize semantic analysis, semantic description, semantic interfaces, and semantic integration of data and services to deliver their objectives. Semantic computing has enormous capabilities to enhance the efficiency and throughput of systems that are based on key emerging concepts and technologies such as semantic web, internet of things, blockchain technology, and knowledge graphs. Thus, research that expounds advanced concepts, methods, technologies, and applications of semantic computing for solving challenges in real-world domains is vital. Advanced Concepts, Methods, and Applications in Semantic Computing is a scholarly reference book that provides a sound theoretical foundation for the application of semantic methods, concepts, and technologies for practical problem solving. It is designed as a comprehensive and reliable resource on how semantic-oriented approaches can be used to aid new emergent technologies and tackle real-world problems. Covering topics that include deep learning, machine learning, blockchain technology, and semantic web services, this book is ideal for professionals, academicians, researchers, and students working in the field of semantic computing in various disciplines, including but not limited to software engineering, systems engineering, knowledge engineering, electronic commerce, computer science, and information technology.

Semantic Computing

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Release : 2017-08-23
Genre : Computers
Kind : eBook
Book Rating : 931/5 ( reviews)

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Book Synopsis Semantic Computing by : Phillip Chen-yu Sheu

Download or read book Semantic Computing written by Phillip Chen-yu Sheu. This book was released on 2017-08-23. Available in PDF, EPUB and Kindle. Book excerpt: As the first volume of World Scientific Encyclopedia with Semantic Computing and Robotic Intelligence, this volume is designed to lay the foundation for the understanding of the Semantic Computing (SC), as a core concept to study Robotic Intelligence in the subsequent volumes.This volume aims to provide a reference to the development of Semantic Computing, in the terms of 'meaning', 'context', and 'intention'. It brings together a series of technical notes, in average, no longer than 10 pages in length, each focuses on one topic in Semantic Computing; being review article or research paper, to explain the fundamental concepts, models or algorithms, and possible applications of the technology concerned.This volume will address three core areas in Semantic Computing:

Applied Cloud Deep Semantic Recognition

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Release : 2018-04-09
Genre : Computers
Kind : eBook
Book Rating : 001/5 ( reviews)

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Book Synopsis Applied Cloud Deep Semantic Recognition by : Mehdi Roopaei

Download or read book Applied Cloud Deep Semantic Recognition written by Mehdi Roopaei. This book was released on 2018-04-09. Available in PDF, EPUB and Kindle. Book excerpt: This book provides a comprehensive overview of the research on anomaly detection with respect to context and situational awareness that aim to get a better understanding of how context information influences anomaly detection. In each chapter, it identifies advanced anomaly detection and key assumptions, which are used by the model to differentiate between normal and anomalous behavior. When applying a given model to a particular application, the assumptions can be used as guidelines to assess the effectiveness of the model in that domain. Each chapter provides an advanced deep content understanding and anomaly detection algorithm, and then shows how the proposed approach is deviating of the basic techniques. Further, for each chapter, it describes the advantages and disadvantages of the algorithm. The final chapters provide a discussion on the computational complexity of the models and graph computational frameworks such as Google Tensorflow and H2O because it is an important issue in real application domains. This book provides a better understanding of the different directions in which research has been done on deep semantic analysis and situational assessment using deep learning for anomalous detection, and how methods developed in one area can be applied in applications in other domains. This book seeks to provide both cyber analytics practitioners and researchers an up-to-date and advanced knowledge in cloud based frameworks for deep semantic analysis and advanced anomaly detection using cognitive and artificial intelligence (AI) models.

Semantic Services, Interoperability and Web Applications: Emerging Concepts

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Release : 2011-06-30
Genre : Computers
Kind : eBook
Book Rating : 942/5 ( reviews)

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Book Synopsis Semantic Services, Interoperability and Web Applications: Emerging Concepts by : Sheth, Amit

Download or read book Semantic Services, Interoperability and Web Applications: Emerging Concepts written by Sheth, Amit. This book was released on 2011-06-30. Available in PDF, EPUB and Kindle. Book excerpt: "This book offers suggestions, solutions, and recommendations for new and emerging research in Semantic Web technology, focusing broadly on methods and techniques for making the Web more useful and meaningful"--Provided by publisher.

Machine Learning Applications in Non-Conventional Machining Processes

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Release : 2021-02-05
Genre : Computers
Kind : eBook
Book Rating : 266/5 ( reviews)

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Book Synopsis Machine Learning Applications in Non-Conventional Machining Processes by : Bose, Goutam Kumar

Download or read book Machine Learning Applications in Non-Conventional Machining Processes written by Bose, Goutam Kumar. This book was released on 2021-02-05. Available in PDF, EPUB and Kindle. Book excerpt: Traditional machining has many limitations in today’s technology-driven world, which has caused industrial professionals to begin implementing various optimization techniques within their machining processes. The application of methods including machine learning and genetic algorithms has recently transformed the manufacturing industry and created countless opportunities in non-traditional machining methods. Significant research in this area, however, is still considerably lacking. Machine Learning Applications in Non-Conventional Machining Processes is a collection of innovative research on the advancement of intelligent technology in industrial environments and its applications within the manufacturing field. While highlighting topics including evolutionary algorithms, micro-machining, and artificial neural networks, this book is ideally designed for researchers, academicians, engineers, managers, developers, practitioners, industrialists, and students seeking current research on intelligence-based machining processes in today’s technology-driven market.

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