Data Engineering and Intelligent Computing

Data Engineering and Intelligent Computing
Author: Vikrant Bhateja,Suresh Chandra Satapathy,Carlos M. Travieso-González,V. N. Manjunath Aradhya
Publsiher: Springer Nature
Total Pages: 641
Release: 2021-05-04
Genre: Technology & Engineering
ISBN: 9789811601712

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This book features a collection of high-quality, peer-reviewed papers presented at the Fourth International Conference on Intelligent Computing and Communication (ICICC 2020) organized by the Department of Computer Science and Engineering and the Department of Computer Science and Technology, Dayananda Sagar University, Bengaluru, India, on 18–20 September 2020. The book is organized in two volumes and discusses advanced and multi-disciplinary research regarding the design of smart computing and informatics. It focuses on innovation paradigms in system knowledge, intelligence and sustainability that can be applied to provide practical solutions to a number of problems in society, the environment and industry. Further, the book also addresses the deployment of emerging computational and knowledge transfer approaches, optimizing solutions in various disciplines of science, technology and health care.

Data Engineering and Intelligent Computing

Data Engineering and Intelligent Computing
Author: Suresh Chandra Satapathy,Vikrant Bhateja,K. Srujan Raju,B. Janakiramaiah
Publsiher: Springer
Total Pages: 669
Release: 2017-05-31
Genre: Technology & Engineering
ISBN: 9789811032233

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The book is a compilation of high-quality scientific papers presented at the 3rd International Conference on Computer & Communication Technologies (IC3T 2016). The individual papers address cutting-edge technologies and applications of soft computing, artificial intelligence and communication. In addition, a variety of further topics are discussed, which include data mining, machine intelligence, fuzzy computing, sensor networks, signal and image processing, human-computer interaction, web intelligence, etc. As such, it offers readers a valuable and unique resource.

Emerging Trends in Intelligent Computing and Informatics

Emerging Trends in Intelligent Computing and Informatics
Author: Faisal Saeed,Fathey Mohammed,Nadhmi Gazem
Publsiher: Springer Nature
Total Pages: 1188
Release: 2019-11-01
Genre: Technology & Engineering
ISBN: 9783030335823

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This book presents the proceedings of the 4th International Conference of Reliable Information and Communication Technology 2019 (IRICT 2019), which was held in Pulai Springs Resort, Johor, Malaysia, on September 22–23, 2019. Featuring 109 papers, the book covers hot topics such as artificial intelligence and soft computing, data science and big data analytics, internet of things (IoT), intelligent communication systems, advances in information security, advances in information systems and software engineering.

Intelligent Data Engineering and Analytics

Intelligent Data Engineering and Analytics
Author: Suresh Chandra Satapathy,Yu-Dong Zhang,Vikrant Bhateja,Ritanjali Majhi
Publsiher: Springer Nature
Total Pages: 758
Release: 2020-08-29
Genre: Technology & Engineering
ISBN: 9789811556791

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This book gathers the proceedings of the 8th International Conference on Frontiers of Intelligent Computing: Theory and Applications (FICTA 2020), held at NIT Surathkal, Karnataka, India, on 4–5 January 2020. In these proceedings, researchers, scientists, engineers and practitioners share new ideas and lessons learned in the field of intelligent computing theories with prospective applications in various engineering disciplines. The respective papers cover broad areas of the information and decision sciences, and explore 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. Given its scope, the book offers a valuable resource for graduate students in various engineering disciplines.

Intelligent Computing and Innovation on Data Science

Intelligent Computing and Innovation on Data Science
Author: Sheng-Lung Peng,Sun-Yuan Hsieh,Suseendran Gopalakrishnan,Balaganesh Duraisamy
Publsiher: Springer Nature
Total Pages: 590
Release: 2021-09-27
Genre: Technology & Engineering
ISBN: 9789811631535

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This book gathers high-quality papers presented at 2nd International Conference on Technology Innovation and Data Sciences (ICTIDS 2021), organized by Lincoln University, Malaysia from 19 – 20 February 2021. It covers wide range of recent technologies like artificial intelligence and machine learning, big data and data sciences, Internet of Things (IoT), and IoT-based digital ecosystem. The book brings together works from researchers, scientists, engineers, scholars and students in the areas of engineering and technology, and provides an opportunity for the dissemination of original research results, new ideas, research and development, practical experiments, which concentrate on both theory and practices, for the benefit of common man.

Intelligent Data Engineering and Automated Learning IDEAL 2020

Intelligent Data Engineering and Automated Learning     IDEAL 2020
Author: Cesar Analide,Paulo Novais,David Camacho,Hujun Yin
Publsiher: Springer Nature
Total Pages: 633
Release: 2020-10-29
Genre: Computers
ISBN: 9783030623654

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This two-volume set of LNCS 12489 and 12490 constitutes the thoroughly refereed conference proceedings of the 21th International Conference on Intelligent Data Engineering and Automated Learning, IDEAL 2020, held in Guimaraes, Portugal, in November 2020.* The 93 papers presented were carefully reviewed and selected from 134 submissions. These papers provided a timely sample of the latest advances in data engineering and machine learning, from methodologies, frameworks, and algorithms to applications. The core themes of IDEAL 2020 include big data challenges, machine learning, data mining, information retrieval and management, bio-/neuro-informatics, bio-inspiredmodels, agents and hybrid intelligent systems, real-world applications of intelligent techniques and AI. * The conference was held virtually due to the COVID-19 pandemic.

Advances in Artificial Intelligence and Data Engineering

Advances in Artificial Intelligence and Data Engineering
Author: Niranjan N. Chiplunkar,Takanori Fukao
Publsiher: Springer Nature
Total Pages: 1456
Release: 2020-08-13
Genre: Technology & Engineering
ISBN: 9789811535147

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This book presents selected peer-reviewed papers from the International Conference on Artificial Intelligence and Data Engineering (AIDE 2019). The topics covered are broadly divided into four groups: artificial intelligence, machine vision and robotics, ambient intelligence, and data engineering. The book discusses recent technological advances in the emerging fields of artificial intelligence, machine learning, robotics, virtual reality, augmented reality, bioinformatics, intelligent systems, cognitive systems, computational intelligence, neural networks, evolutionary computation, speech processing, Internet of Things, big data challenges, data mining, information retrieval, and natural language processing. Given its scope, this book can be useful for students, researchers, and professionals interested in the growing applications of artificial intelligence and data engineering.

Intelligent Data Engineering and Analytics

Intelligent Data Engineering and Analytics
Author: Vikrant Bhateja,Fiona Carroll,João Manuel R. S. Tavares,Sandeep Singh Sengar,Peter Peer
Publsiher: Springer Nature
Total Pages: 633
Release: 2023-11-25
Genre: Technology & Engineering
ISBN: 9789819967063

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The book presents the proceedings of the 11th International Conference on Frontiers of Intelligent Computing: Theory and Applications (FICTA 2023), held at Cardiff School of Technologies, Cardiff Metropolitan University, Cardiff, Wales, UK, during April 11–12, 2023. 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. This book is 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 book is a valuable resource for postgraduate students in various engineering disciplines.