Topical Drifts in Intelligent Computing
Topical Drifts in Intelligent Computing

Author: Jyotsna Kumar Mandal

Publisher: Springer Nature

Published: 2022-04-23

Total Pages: 625

ISBN-13: 9811907455

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This book gathers a collection of high-quality peer-reviewed research papers presented at International Conference on Computational Techniques and Applications (ICCTA 2021), organized by the Electronics and Telecommunication Engineers (IETE), Kolkata Center, India, during 8 – 9 October 2021. This includes research in the areas of intelligent computing and communication systems including computing, electronics, green energy design, communications, computers to interact and disseminate information on latest developments both academically and industrially for computational drifts. The three main tracks are (i) computing in network security, AI and data science; (ii) contemporary issues in electronics, and communication technology; and (iii) intelligent computing in electrical power, control systems and energy technology.

Machine Intelligence and Data Science Applications
Machine Intelligence and Data Science Applications

Author: Vaclav Skala

Publisher: Springer Nature

Published: 2022-08-01

Total Pages: 909

ISBN-13: 9811923477

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This book is a compilation of peer reviewed papers presented at International Conference on Machine Intelligence and Data Science Applications (MIDAS 2021), held in Comilla University, Cumilla, Bangladesh during 26 – 27 December 2021. The book covers applications in various fields like image processing, natural language processing, computer vision, sentiment analysis, speech and gesture analysis, etc. It also includes interdisciplinary applications like legal, healthcare, smart society, cyber physical system and smart agriculture, etc. The book is a good reference for computer science engineers, lecturers/researchers in machine intelligence discipline and engineering graduates.

Intelligent Data Engineering and Analytics
Intelligent Data Engineering and Analytics

Author: Vikrant Bhateja

Publisher: Springer Nature

Published: 2023-02-23

Total Pages: 627

ISBN-13: 9811975248

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The book presents the proceedings of the 10th International Conference on Frontiers of Intelligent Computing: Theory and Applications (FICTA 2022), held at NIT Mizoram, Aizawl, Mizoram, India during 18 – 19 June 2022. Researchers, scientists, engineers, and practitioners exchange new ideas and experiences in the domain of intelligent computing theories with prospective applications in various engineering disciplines in the book. These proceedings are divided into two volumes. It covers broad areas of information and decision sciences, with papers exploring both the theoretical and practical aspects of data-intensive computing, data mining, evolutionary computation, knowledge management and networks, sensor networks, signal processing, wireless networks, protocols and architectures. This volume is a valuable resource for postgraduate students in various engineering disciplines.

Lecture Notes in Real-Time Intelligent Systems
Lecture Notes in Real-Time Intelligent Systems

Author: Jolanta Mizera-Pietraszko

Publisher: Springer

Published: 2017-08-07

Total Pages: 504

ISBN-13: 3319607448

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Intelligent computing refers greatly to artificial intelligence with the aim at making computer to act as a human. This newly developed area of real-time intelligent computing integrates the aspect of dynamic environments with the human intelligence. This book presents a comprehensive practical and easy to read account which describes current state-of-the art in designing and implementing real-time intelligent computing to robotics, alert systems, IoT, remote access control, multi-agent systems, networking, mobile smart systems, crowd sourcing, broadband systems, cloud computing, streaming data and many other applications areas. The solutions discussed in this book will encourage the researchers and IT professional to put the methods into their practice.

Intelligent Control Systems Using Soft Computing Methodologies
Intelligent Control Systems Using Soft Computing Methodologies

Author: Ali Zilouchian

Publisher: CRC Press

Published: 2001-03-27

Total Pages: 504

ISBN-13: 1420058142

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In recent years, intelligent control has emerged as one of the most active and fruitful areas of research and development. Until now, however, there has been no comprehensive text that explores the subject with focus on the design and analysis of biological and industrial applications. Intelligent Control Systems Using Soft Computing Methodologies does all that and more. Beginning with an overview of intelligent control methodologies, the contributors present the fundamentals of neural networks, supervised and unsupervised learning, and recurrent networks. They address various implementation issues, then explore design and verification of neural networks for a variety of applications, including medicine, biology, digital signal processing, object recognition, computer networking, desalination technology, and oil refinery and chemical processes. The focus then shifts to fuzzy logic, with a review of the fundamental and theoretical aspects, discussion of implementation issues, and examples of applications, including control of autonomous underwater vehicles, navigation of space vehicles, image processing, robotics, and energy management systems. The book concludes with the integration of genetic algorithms into the paradigm of soft computing methodologies, including several more industrial examples, implementation issues, and open problems and open problems related to intelligent control technology. Suitable as a textbook or a reference, Intelligent Control Systems explores recent advances in the field from both the theoretical and the practical viewpoints. It also integrates intelligent control design methodologies to give designers a set of flexible, robust controllers and provide students with a tool for solving the examples and exercises within the book.

Control Applications in Modern Power Systems
Control Applications in Modern Power Systems

Author: Jitendra Kumar

Publisher: Springer Nature

Published: 2023-02-17

Total Pages: 288

ISBN-13: 9811977887

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This book provides rigorous discussions, case studies, and recent developments in the emerging areas of a control system, especially load frequency control, wide-area monitoring, control and instrumentation, optimization, intelligent control, energy management system, SCADA systems, etc. The readers would be benefitted from enhancing their knowledge and skills in the domain areas. Also, this book may help the readers in developing new and innovative ideas. The book can be a valuable reference for researchers and professionals interested in developments in the control system.

Introduction to Information Retrieval
Introduction to Information Retrieval

Author: Christopher D. Manning

Publisher: Cambridge University Press

Published: 2008-07-07

Total Pages:

ISBN-13: 1139472100

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Class-tested and coherent, this textbook teaches classical and web information retrieval, including web search and the related areas of text classification and text clustering from basic concepts. It gives an up-to-date treatment of all aspects of the design and implementation of systems for gathering, indexing, and searching documents; methods for evaluating systems; and an introduction to the use of machine learning methods on text collections. All the important ideas are explained using examples and figures, making it perfect for introductory courses in information retrieval for advanced undergraduates and graduate students in computer science. Based on feedback from extensive classroom experience, the book has been carefully structured in order to make teaching more natural and effective. Slides and additional exercises (with solutions for lecturers) are also available through the book's supporting website to help course instructors prepare their lectures.

Computer-Aided Innovation (CAI)
Computer-Aided Innovation (CAI)

Author: Gaetano Cascini

Publisher: Springer Science & Business Media

Published: 2008-07-17

Total Pages: 262

ISBN-13: 0387096965

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Computer-Aided Innovation (CAI) is emerging as a strategic domain of research and application to support enterprises throughout the overall innovation process. The 5.4 Working Group of IFIP aims at defining the scientific foundation of Computer Aided Innovation systems and at identifying state of the art and trends of CAI tools and methods. These Proceedings derive from the second Topical Session on Computer- Aided Innovation organized within the 20th World Computer Congress of IFIP. The goal of the Topical Session is to provide a survey of existing technologies and research activities in the field and to identify opportunities of integration of CAI with other PLM systems. According to the heterogeneous needs of innovation-related activities, the papers published in this volume are characterized by multidisciplinary contents and complementary perspectives and scopes. Such a richness of topics and disciplines will certainly contribute to the promotion of fruitful new collaborations and synergies within the IFIP community. Gaetano Cascini th Florence, April 30 20 08 CAI Topical Session Organization The IFIP Topical Session on Computer-Aided Innovation (CAI) is a co-located conference organized under the auspices of the IFIP World Computer Congress (WCC) 2008 in Milano, Italy Gaetano Cascini CAI Program Committee Chair [email protected]