Intelligent Data Engineering and Automated Learning – IDEAL 2023 PDF Download
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Author: Paulo Quaresma
Publisher: Springer Nature
ISBN: 3031482328
Category : Computers
Languages : en
Pages : 561
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Book Description
This book constitutes the proceedings of the 24th International Conference on Intelligent Data Engineering and Automated Learning, IDEAL 2023, held in Évora, Portugal, during November 22–24, 2023. The 45 full papers and 4 short papers presented in this book were carefully reviewed and selected from 77 submissions. IDEAL 2023 is focusing on big data challenges, machine learning, deep learning, data mining, information retrieval and management, bio-/neuro-informatics, bio-inspired models, agents and hybrid intelligent systems, and real-world applications of intelligence techniques and AI. The papers are organized in the following topical sections: main track; special session on federated learning and (pre) aggregation in machine learning; special session on intelligent techniques for real-world applications of renewable energy and green transport; and special session on data selection in machine learning.
Author: Paulo Quaresma
Publisher: Springer Nature
ISBN: 3031482328
Category : Computers
Languages : en
Pages : 561
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Book Description
This book constitutes the proceedings of the 24th International Conference on Intelligent Data Engineering and Automated Learning, IDEAL 2023, held in Évora, Portugal, during November 22–24, 2023. The 45 full papers and 4 short papers presented in this book were carefully reviewed and selected from 77 submissions. IDEAL 2023 is focusing on big data challenges, machine learning, deep learning, data mining, information retrieval and management, bio-/neuro-informatics, bio-inspired models, agents and hybrid intelligent systems, and real-world applications of intelligence techniques and AI. The papers are organized in the following topical sections: main track; special session on federated learning and (pre) aggregation in machine learning; special session on intelligent techniques for real-world applications of renewable energy and green transport; and special session on data selection in machine learning.
Author: Vicente Julian
Publisher: Springer Nature
ISBN: 3031777387
Category :
Languages : en
Pages : 580
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Book Description
Author: Mahmoud Barhamgi
Publisher: Springer Nature
ISBN: 9819605733
Category :
Languages : en
Pages : 475
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Book Description
Author: Héctor Quintián
Publisher: Springer Nature
ISBN: 3031741838
Category :
Languages : en
Pages : 366
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Book Description
Author: Yousef Farhaoui
Publisher: CRC Press
ISBN: 1040224733
Category : Computers
Languages : en
Pages : 358
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Book Description
This book studies the evolution of sustainable green smart cities and demonstrates solutions for green environmental issues using modern industrial IoT solutions. It is a ready reference with guidelines and a conceptual framework for context-aware product development and research in the IoT paradigm and Big Data Analytics for a Green Environment. It brings together the most recent advances in IoT and Big Data in Green Environments, emerging aspects of the IoT and Big Data for Green Cities, explores key technologies, and develops new applications in this research field. Key Features: • Discusses the framework for development and research in the IoT Paradigm and Big Data Analytics. • Highlights threats to the IoT architecture and Big Data Analytics for a Green Environment. • Present the I-IoT architecture, I-IoT applications, and their characteristics for a Green Environment. • Provides a systematic overview of the state-of-the-art research efforts. • Introduces necessary components and knowledge to become a vital part of the IoT revolution for a Green Environment. This book is for professionals and researchers interested in the emerging technology of sustainable development, green cities, and Green Environment.
Author: Kohei Arai
Publisher: Springer Nature
ISBN: 3031664310
Category :
Languages : en
Pages : 668
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Book Description
Author: Najib El Ouanjli
Publisher: CRC Press
ISBN: 1040121942
Category : Computers
Languages : en
Pages : 228
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Book Description
This book addresses and disseminates state-of-the-art research and development in the applications of soft computing techniques for renewable energy systems. It covers topics such as solar energy, wind energy, and solar concentrator technologies, as well as building systems and power generation systems. In all these areas, applications of soft computing methods such as artificial neural networks, genetic algorithms, particle swarm optimization, cuckoo search, fuzzy logic, and a combination of these, called hybrid systems, are included. This book is a source for students interested in the fields of renewable energy and the application of the soft computing. In addition, our book can be considered as a reference for researchers and academics since it will include applications of soft computing in different renewable energy systems.
Author: Hujun Yin
Publisher: Springer
ISBN: 3540456759
Category : Computers
Languages : en
Pages : 612
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Book Description
This book constitutes the refereed proceedings of the Third International Conference on Intelligent Data Engineering and Automated Learning, IDEAL 2002, held in Manchester, UK in August 2002. The 89 revised papers presented were carefully reviewed and selected from more than 150 submissions. The book offers topical sections on data mining, knowledge engineering, text and document processing, internet applications, agent technology, autonomous mining, financial engineering, bioinformatics, learning systems, and pattern recognition.
Author: Bak?r, Mahmut
Publisher: IGI Global
ISBN:
Category : Business & Economics
Languages : en
Pages : 602
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Book Description
The aviation industry plays a vital role in global mobility but faces mounting pressure to address its environmental impact and meet sustainability goals. As public and regulatory demands for greener practices grow, the industry must adopt sustainable operations to reduce its ecological footprint. Sustainable marketing strategies, which promote eco-friendly products and raise consumer awareness, are crucial in driving this shift. By embracing innovative marketing, aviation companies can differentiate themselves and contribute to broader sustainability efforts. This transformation benefits both the environment and the industry's economic objectives. Sustainable Marketing Practices in the Aviation Industry presents insights and research findings on sustainable marketing practices within the aviation industry. It serves as a comprehensive resource, offering the latest strategies, case studies, and theoretical advancements that illustrate how marketing can drive sustainability in the aviation industry. Covering topics such as air travel behavior, environmental messaging, and sustainable development, this book is an excellent resource for academicians, researchers, students, airline executives, marketing professionals, sustainability officers, consultants, and more.
Author: Sheng-Lung Peng
Publisher: Springer Nature
ISBN: 9819762227
Category :
Languages : en
Pages : 545
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Book Description
