Intelligent Systems in Big Data, Semantic Web and Machine Learning
Intelligent Systems in Big Data, Semantic Web and Machine Learning

Author: Noreddine Gherabi

Publisher: Springer Nature

Published: 2021-05-28

Total Pages: 315

ISBN-13: 303072588X

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This book describes important methodologies, tools and techniques from the fields of artificial intelligence, basically those which are based on relevant conceptual and formal development. The coverage is wide, ranging from machine learning to the use of data on the Semantic Web, with many new topics. The contributions are concerned with machine learning, big data, data processing in medicine, similarity processing in ontologies, semantic image analysis, as well as many applications including the use of machine leaning techniques for cloud security, artificial 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 for researchers and doctoral students in data analysis, Semantic Web, big data, machine learning, computer engineering and related disciplines, as well as for postgraduate students who want to integrate the doctoral cycle.

Innovations, Developments, and Applications of Semantic Web and Information Systems
Innovations, Developments, and Applications of Semantic Web and Information Systems

Author: Lytras, Miltiadis D.

Publisher: IGI Global

Published: 2018-01-19

Total Pages: 493

ISBN-13: 1522550437

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In the last few years, there has been an increased advancement and evolution in semantic web and information systems in a variety of fields. The integration of these approaches to ontology engineering, sophisticated methods and algorithms for open linked data extraction, and advanced decision-making creates new opportunities for a bright future. Innovations, Developments, and Applications of Semantic Web and Information Systems is a critical scholarly resource that discusses integrated methods of research and analytics in information technology. Featuring coverage on a broad range of topics, such as cognitive computing, artificial intelligence, machine learning, data analysis, and algorithms, this book is geared towards researchers, academicians, and professionals seeking current information on semantic web and information systems.

The Semantic Web: Semantics and Big Data
The Semantic Web: Semantics and Big Data

Author: Philipp Cimiano

Publisher: Springer

Published: 2013-05-20

Total Pages: 753

ISBN-13: 3642382886

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This book constitutes the refereed proceedings of the 10th Extended Semantic Web Conference, ESWC 2013, held in Montpellier, France, in May 2013. The 42 revised full papers presented together with three invited talks were carefully reviewed and selected from 162 submissions. They are organized in tracks on ontologies; linked open data; semantic data management; mobile Web, sensors and semantic streams; reasoning; natural language processing and information retrieval; machine learning; social Web and Web science; cognition and semantic Web; and in-use and industrial tracks. The book also includes 17 PhD papers presented at the PhD Symposium.

Artificial Intelligence and Algorithms in Intelligent Systems
Artificial Intelligence and Algorithms in Intelligent Systems

Author: Radek Silhavy

Publisher: Springer

Published: 2018-05-26

Total Pages: 515

ISBN-13: 3319911899

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This book presents the latest trends and approaches in artificial intelligence research and its application to intelligent systems. It discusses hybridization of algorithms, new trends in neural networks, optimisation algorithms and real-life issues related to the application of artificial methods. The book constitutes the second volume of the refereed proceedings of the Artificial Intelligence and Algorithms in Intelligent Systems of the 7th Computer Science On-line Conference 2018 (CSOC 2018), held online in April 2018.

Advanced Technology for Smart Environment and Energy
Advanced Technology for Smart Environment and Energy

Author: Jamal Mabrouki

Publisher: Springer Nature

Published: 2023-03-25

Total Pages: 314

ISBN-13: 303125662X

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This book presents smart energy management in the context of energy transition. It presents the motivation, impacts and challenges related to this hot topic. Then, it focuses on the use of techniques and tools based on artificial intelligence (AI) to solve the challenges related to this problem. A global diagram presenting the general principle of these techniques is presented. Then, these techniques are compared according to a set of criteria in order to show their advantages and disadvantages with respect to the conditions and constraints of intelligent energy management applications in the context of energy transition. Several examples are used throughout the white paper to illustrate the concepts and methods presented. An intelligent electrical network (smart grid—SG) includes heterogeneous and distributed electricity production, transmission, distribution and consumption components. It is the next generation of electricity network able to manage electricity demand (consumption/production/distribution) in a sustainable, reliable and economical way taking into account the penetration of renewable energies (solar, wind, etc.). Therefore, a (SG) smart grid also includes an intelligent layer that analyzes the data provided by consumers as well as that collected from the production side in order to optimize consumption and production according to weather conditions, the profile and habits of the consumer. In addition, this system can improve the use of green energy through renewable energy penetration and demand response.

Artificial Intelligence for Health 4.0: Challenges and Applications
Artificial Intelligence for Health 4.0: Challenges and Applications

Author: Rishabha Malviya

Publisher: CRC Press

Published: 2023-03-10

Total Pages: 420

ISBN-13: 1000847020

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Healthcare is one of the major success stories of our times. Medical science has improved rapidly, raising life expectancy around the world. However, as longevity increases, healthcare systems face growing demands for their services, rising costs, and a workforce that is struggling to meet the needs of its patients. Healthcare is one of the most critical sectors in the broader landscape of big data because of its fundamental role in a productive, thriving society. Building on automation, artificial intelligence (AI) has the potential to revolutionize healthcare and help address some of the challenges set out above. The application of AI to healthcare data can literally be a matter of life and death. AI can assist doctors, nurses, and other healthcare workers in their daily work. AI in healthcare can enhance preventive care and quality of life, produce more accurate diagnoses and treatment plans, and lead to better patient outcomes overall. This book gives insights into the latest developments of applications of AI in biomedicine, including disease diagnostics, pharmaceutical processing, patient care and monitoring, biomedical information, and biomedical research. It also presents an outline of the recent breakthroughs in the application of AI in healthcare, describes a roadmap to building effective, reliable, and safe AI systems, and discusses the possible future direction of AI augmented healthcare systems. AI has countless applications in healthcare. Whether it’s being used to discover links between genetic codes, to power surgical robots or even to maximize hospital efficiency; AI has been a boon to the healthcare industry.

Open Semantic Technologies for Intelligent Systems
Open Semantic Technologies for Intelligent Systems

Author: Vladimir Golenkov

Publisher: Springer Nature

Published: 2022-09-27

Total Pages: 402

ISBN-13: 3031158822

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This book constitutes the refereed proceedings of the 11th International Conference on Open Semantic Technologies for Intelligent Systems, OSTIS 2021, held in Minsk, Belarus, during September 16–18, 2021. The 20 full papers included in this book were carefully reviewed and selected from 46 submissions. The papers are focused on the development of flexible and compatible technologies that provide fast and high-quality construction of intelligent systems for various purposes.

XAI Based Intelligent Systems for Society 5.0
XAI Based Intelligent Systems for Society 5.0

Author: Fadi Al-Turjman

Publisher: Elsevier

Published: 2023-11-29

Total Pages: 428

ISBN-13: 0323957846

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XAI Based Intelligent Systems for Society 5.0 focuses on the development and analysis of Explainable Artificial Intelligence (XAI)-based models and intelligent systems that can be utilized for Society 5.0—characterized by a knowledge intensive, data driven, and non-monetary society. The book delves into the issues of transparency, explainability, data fusion, and interpretability, which are significant for the development of a super smart society and are addressed through XAI-based models and techniques. XAI-based deep learning models, fuzzy and hybrid intelligent systems, expert systems, and intrinsic explainable models in the context of Society 5.0 are presented in detail.The book also addresses—using XAI-based intelligent techniques—the privacy issues intrinsic in storing huge amounts of data or information in virtual space. The concept of Responsible AI, which is at the core of the future direction of XAI for Society 5.0, is also explored in this book. Finally, the application areas of XAI, including relevant case studies, are presented in the concluding chapter. This book serves as a valuable resource for graduate/post graduate students, academicians, analysts, computer scientists, engineers, researchers, professionals, and other personnel working in the area of artificial intelligence, machine learning, and intelligent systems, who are interested in creating a people-centric smart society. - Defines the basic terminology and concepts surrounding explainability and related topics to bring coherence to the field - Focuses on what techniques are available to improve explainability and how explainability can progress society - Offers a broad range of topics, addressing multiple facets of XAI within the context of Society 5.0

Transactions on Large-Scale Data- and Knowledge-Centered Systems XLV
Transactions on Large-Scale Data- and Knowledge-Centered Systems XLV

Author: Abdelkader Hameurlain

Publisher: Springer Nature

Published: 2020-09-19

Total Pages: 221

ISBN-13: 3662623080

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The LNCS journal Transactions on Large-Scale Data- and Knowledge-Centered Systems focuses on data management, knowledge discovery, and knowledge processing, which are core and hot topics in computer science. Since the 1990s, the Internet has become the main driving force behind application development in all domains. An increase in the demand for resource sharing (e.g., computing resources, services, metadata, data sources) across different sites connected through networks has led to an evolution of data- and knowledge-management systems from centralized systems to decentralized systems enabling large-scale distributed applications providing high scalability. This, the 45th issue of Transactions on Large-Scale Data- and Knowledge-Centered Systems, contains eight revised selected regular papers. Topics covered include data analysis, information extraction, blockchains, and big data.