Intelligent Data Engineering and Automated Learning – IDEAL 2024 PDF Download
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Author: Vicente Julian
Publisher: Springer Nature
ISBN: 303177731X
Category :
Languages : en
Pages : 541
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Book Description
Author: Vicente Julian
Publisher: Springer Nature
ISBN: 303177731X
Category :
Languages : en
Pages : 541
Get Book Here
Book Description
Author: Hujun Yin
Publisher: Springer
ISBN: 3030034933
Category : Computers
Languages : en
Pages : 890
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Book Description
This two-volume set LNCS 11314 and 11315 constitutes the thoroughly refereed conference proceedings of the 19th International Conference on Intelligent Data Engineering and Automated Learning, IDEAL 2018, held in Madrid, Spain, in November 2018. The 125 full papers presented were carefully reviewed and selected from 204 submissions. These papers provided a timely sample of the latest advances in data engineering and automated learning, from methodologies, frameworks and techniques to applications. In addition to various topics such as evolutionary algorithms, deep learning neural networks, probabilistic modelling, particle swarm intelligence, big data analytics, and applications in image recognition, regression, classification, clustering, medical and biological modelling and prediction, text processing and social media analysis.
Author: Mahmoud Barhamgi
Publisher: Springer Nature
ISBN: 9819605733
Category :
Languages : en
Pages : 475
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Author: Abdellah Idrissi
Publisher: Springer Nature
ISBN: 3031650387
Category :
Languages : en
Pages : 591
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Author: Cesar Analide
Publisher: Springer Nature
ISBN: 3030623653
Category : Computers
Languages : en
Pages : 633
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Book Description
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.
Author: Héctor Quintián
Publisher: Springer Nature
ISBN: 3031741838
Category :
Languages : en
Pages : 366
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Author: Vicente Julian
Publisher: Springer
ISBN: 9783031777370
Category : Computers
Languages : en
Pages : 0
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Book Description
This two-volume set, LNCS 15346 and LNCS 15347, constitutes the proceedings of the 25th International Conference on Intelligent Data Engineering and Automated Learning, IDEAL 2024, held in Valencia, Spain, during November 20-22, 2024. The 86 full papers and 6 short papers presented in this book were carefully reviewed and selected from 130 submissions. IDEAL 2023 is focusing on Big Data Analytics and Privacy, Machine Learning & Deep Learning for Real-World Applications, Data Mining and Pattern Recognition, Information Retrieval and Management, Bio and Neuro-Informatics, and Hybrid Intelligent Systems and Agents.
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: Aravindan Chandrabose
Publisher: Springer Nature
ISBN: 3031736176
Category :
Languages : en
Pages : 476
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Book Description
