Share

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

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

Author :
Release : 2022-08-31
Genre : Technology & Engineering
Kind : eBook
Book Rating : 355/5 ( reviews)

GET EBOOK


Book Synopsis The International Conference on Deep Learning, Big Data and Blockchain (DBB 2022) by : Irfan Awan

Download or read book The International Conference on Deep Learning, Big Data and Blockchain (DBB 2022) written by Irfan Awan. This book was released on 2022-08-31. Available in PDF, EPUB and Kindle. Book excerpt: 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 4th Joint International Conference on Deep Learning, Big Data and Blockchain (DBB 2023)

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

Author :
Release : 2023-10-01
Genre : Technology & Engineering
Kind : eBook
Book Rating : 178/5 ( reviews)

GET EBOOK


Book Synopsis The 4th Joint International Conference on Deep Learning, Big Data and Blockchain (DBB 2023) by : Muhammad Younas

Download or read book The 4th Joint International Conference on Deep Learning, Big Data and Blockchain (DBB 2023) written by Muhammad Younas. This book was released on 2023-10-01. Available in PDF, EPUB and Kindle. Book excerpt: 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 Reinforcement Learning and Its Industrial Use Cases

Download Deep Reinforcement Learning and Its Industrial Use Cases PDF Online Free

Author :
Release : 2024-10-29
Genre : Computers
Kind : eBook
Book Rating : 553/5 ( reviews)

GET EBOOK


Book Synopsis Deep Reinforcement Learning and Its Industrial Use Cases by : Shubham Mahajan

Download or read book Deep Reinforcement Learning and Its Industrial Use Cases written by Shubham Mahajan. This book was released on 2024-10-29. Available in PDF, EPUB and Kindle. Book excerpt: This book serves as a bridge connecting the theoretical foundations of DRL with practical, actionable insights for implementing these technologies in a variety of industrial contexts, making it a valuable resource for professionals and enthusiasts at the forefront of technological innovation. Deep Reinforcement Learning (DRL) represents one of the most dynamic and impactful areas of research and development in the field of artificial intelligence. Bridging the gap between decision-making theory and powerful deep learning models, DRL has evolved from academic curiosity to a cornerstone technology driving innovation across numerous industries. Its core premise—enabling machines to learn optimal actions within complex environments through trial and error—has broad implications, from automating intricate decision processes to optimizing operations that were previously beyond the reach of traditional AI techniques. “Deep Reinforcement Learning and Its Industrial Use Cases: AI for Real-World Applications” is an essential guide for anyone eager to understand the nexus between cutting-edge artificial intelligence techniques and practical industrial applications. This book not only demystifies the complex theory behind deep reinforcement learning (DRL) but also provides a clear roadmap for implementing these advanced algorithms in a variety of industries to solve real-world problems. Through a careful blend of theoretical foundations, practical insights, and diverse case studies, the book offers a comprehensive look into how DRL is revolutionizing fields such as finance, healthcare, manufacturing, and more, by optimizing decisions in dynamic and uncertain environments. This book distills years of research and practical experience into accessible and actionable knowledge. Whether you’re an AI professional seeking to expand your toolkit, a business leader aiming to leverage AI for competitive advantage, or a student or academic researching the latest in AI applications, this book provides valuable insights and guidance. Beyond just exploring the successes of DRL, it critically examines challenges, pitfalls, and ethical considerations, preparing readers to not only implement DRL solutions but to do so responsibly and effectively. Audience The book will be read by researchers, postgraduate students, and industry engineers in machine learning and artificial intelligence, as well as those in business and industry seeking to understand how DRL can be applied to solve complex industry-specific challenges and improve operational efficiency.

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

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

Author :
Release : 2021-08-07
Genre : Technology & Engineering
Kind : eBook
Book Rating : 378/5 ( reviews)

GET EBOOK


Book Synopsis The International Conference on Deep Learning, Big Data and Blockchain (Deep-BDB 2021) by : Irfan Awan

Download or read book The International Conference on Deep Learning, Big Data and Blockchain (Deep-BDB 2021) written by Irfan Awan. This book was released on 2021-08-07. Available in PDF, EPUB and Kindle. Book excerpt: 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.

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

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

Author :
Release : 2023-03-28
Genre : Computers
Kind : eBook
Book Rating : 872/5 ( reviews)

GET EBOOK


Book Synopsis Proceedings of the 6th International Conference on Big Data and Internet of Things by : Mohamed Lazaar

Download or read book Proceedings of the 6th International Conference on Big Data and Internet of Things written by Mohamed Lazaar. This book was released on 2023-03-28. Available in PDF, EPUB and Kindle. Book excerpt: 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.

You may also like...