The 4th Joint International Conference on Deep Learning, Big Data and Blockchain (DBB 2023)

The 4th Joint International Conference on Deep Learning, Big Data and Blockchain (DBB 2023) PDF

Author: Muhammad Younas

Publisher: Springer Nature

Published: 2023-10-01

Total Pages: 148

ISBN-13: 3031423178

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This book constitutes refereed articles which present research work on new and emerging topics such as distributed ledger technology, blockchains and architectures, smart cities, machine learning and deep learning techniques and application areas such as flight pricing, energy demand and healthcare. The intended readership of the book include researchers, developers and practitioners in the areas of deep learning, big data and blockchains technologies and their applications.

Deep Learning Theory and Applications

Deep Learning Theory and Applications PDF

Author: Donatello Conte

Publisher: Springer Nature

Published: 2023-07-30

Total Pages: 496

ISBN-13: 3031390598

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This book consitiutes the refereed proceedings of the 4th International Conference on Deep Learning Theory and Applications, DeLTA 2023, held in Rome, Italy from 13 to 14 July 2023. The 9 full papers and 22 short papers presented were thoroughly reviewed and selected from the 42 qualified submissions. The scope of the conference includes such topics as models and algorithms; machine learning; big data analytics; computer vision applications; and natural language understanding.

Recent Trends in Computational Sciences

Recent Trends in Computational Sciences PDF

Author: Gururaj H L

Publisher: CRC Press

Published: 2023-10-12

Total Pages: 462

ISBN-13: 100380389X

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This book is a compilation of research papers and presentations from the Fourth Annual International Conference on Data Science, Machine Learning and Blockchain Technology (AICDMB 2023, Mysuru, India, 16-17 March 2023). The book covers a wide range of topics, including data mining, natural language processing, deep learning, computer vision, big data analytics, cryptography, smart contracts, decentralized applications, and blockchain-based solutions for various industries such as healthcare, finance, and supply chain management. The research papers presented in this book highlight the latest advancements and practical applications in data science, machine learning, and blockchain technology, and provide insights into the future direction of these fields. The book serves as a valuable resource for researchers, students, and professionals in the areas of data science, machine learning, and blockchain technology.

Proceedings of the 6th International Conference on Big Data and Internet of Things

Proceedings of the 6th International Conference on Big Data and Internet of Things PDF

Author: Mohamed Lazaar

Publisher: Springer Nature

Published: 2023-03-28

Total Pages: 607

ISBN-13: 3031283872

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This book is a collection of papers that were presented at the 6th International Conference on Big Data Cloud and Internet of Things, BDIoT 2022. The conference took place on October 25-27, 2022, Tangier, Morocco. The book consisted of 49 chapters, which correspond to the four major areas that are covered during the conference, namely Big Data & Cloud Computing, Cybersecurity, Machine Learning, Deep Learning, E-Learning, Internet of Things, Information System and Natural Language Processing. Every year BDIoT attracted researchers from all over the world, and this year was not an exception – the authors received 98 submissions from 7 countries. More importantly, there were participants from many countries, which indicates that the conference is truly gaining more and more international recognition as it brought together a vast number of specialists who represented the aforementioned fields and share information about their newest projects. Since the authors strived to make the conference presentations and proceedings of the highest quality possible, the authors only accepted papers that presented the results of various investigations directed to the discovery of new scientific knowledge in the area of Big Data, IoT and their applications. All the papers were reviewed and selected by the Program Committee, which comprised 96 reviewers from over 58 academic institutions. As usual, each submission was reviewed following a double process by at least two reviewers. When necessary, some of the papers were reviewed by three or four reviewers. Authors’ deepest thanks and appreciation go to all the reviewers for devoting their precious time to produce truly through reviews and feedback to the authors.

Proceedings of Data Analytics and Management

Proceedings of Data Analytics and Management PDF

Author: Abhishek Swaroop

Publisher: Springer Nature

Published: 2024-01-13

Total Pages: 696

ISBN-13: 9819965446

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This book includes original unpublished contributions presented at the International Conference on Data Analytics and Management (ICDAM 2023), held at London Metropolitan University, London, UK, during June 2023. The book covers the topics in data analytics, data management, big data, computational intelligence, and communication networks. The book presents innovative work by leading academics, researchers, and experts from industry which is useful for young researchers and students. The book is divided into four volumes.

The International Conference on Deep Learning, Big Data and Blockchain (DBB 2022)

The International Conference on Deep Learning, Big Data and Blockchain (DBB 2022) PDF

Author: Irfan Awan

Publisher:

Published: 2023

Total Pages: 0

ISBN-13: 9783031160363

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Deep and machine learning is the state-of-the-art at providing models, methods, tools and techniques for developing autonomous and intelligent systems which can revolutionise industrial and commercial applications in various fields such as online commerce, intelligent transportation, healthcare and medicine, etc. The ground-breaking technology of blockchain also enables decentralisation, immutability, and transparency of data and applications. This event aims to enable synergy between these areas and provide a leading forum for researchers, developers, practitioners, and professionals from public sectors and industries to meet and share the latest solutions and ideas in solving cutting-edge problems in the modern information society and the economy. The conference focuses on specific challenges in deep (and machine) learning, big data and blockchain. Some of the key topics of interest include (but are not limited to): Deep/Machine learning based models Statistical models and learning Data analysis, insights and hidden pattern Data visualisation Security threat detection Data classification and clustering Blockchain security and trust Blockchain data management.

The International Conference on Deep Learning, Big Data and Blockchain (Deep-BDB 2021)

The International Conference on Deep Learning, Big Data and Blockchain (Deep-BDB 2021) PDF

Author: Irfan Awan

Publisher: Springer Nature

Published: 2021-08-07

Total Pages: 182

ISBN-13: 3030843378

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The role of deep learning for the analysis and learning of massive amounts of data from all aspects of daily-life has dramatically changed over the last few years. It is increasingly helping uncover trends leading to great successes. This book includes a collection of research manuscripts presenting state-of-the-art work in the areas of deep learning, blockchain and big data. All the manuscripts included in this book have been peer-reviewed based on aspects of novelty, originality and rigour. The main topics covered in the book include machine learning and time series, blockchain technologies and applications, data security, deep learning, and Internet of Things.

Deep Learning Theory and Applications

Deep Learning Theory and Applications PDF

Author: Donatello Conte

Publisher:

Published: 2023

Total Pages: 0

ISBN-13: 9783031390609

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This book consitiutes the refereed proceedings of the 4th International Conference on Deep Learning Theory and Applications, DeLTA 2023, held in Rome, Italy from 13 to 14 July 2023. The 9 full papers and 22 short papers presented were thoroughly reviewed and selected from the 42 qualified submissions. The scope of the conference includes such topics as models and algorithms; machine learning; big data analytics; computer vision applications; and natural language understanding.