Advances In Distributed Computing And Machine Learning
DOWNLOAD eBooks
Download Advances In Distributed Computing And Machine Learning PDF/ePub or read online books in Mobi eBooks. Click Download or Read Online button to get Advances In Distributed Computing And Machine Learning book now. This website allows unlimited access to, at the time of writing, more than 1.5 million titles, including hundreds of thousands of titles in various foreign languages. If the content not found or just blank you must refresh this page
Advances In Distributed Computing And Machine Learning
DOWNLOAD eBooks
Author : Suchismita Chinara
language : en
Publisher: Springer Nature
Release Date : 2023-06-27
Advances In Distributed Computing And Machine Learning written by Suchismita Chinara and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-06-27 with Technology & Engineering categories.
This book is a collection of peer-reviewed best selected research papers presented at the Fourth International Conference on Advances in Distributed Computing and Machine Learning (ICADCML 2023), organized by Department of Computer Science and Engineering, National Institute of Technology, Rourkela, Odisha, India, during 15–16 January 2023. This book presents recent innovations in the field of scalable distributed systems in addition to cutting edge research in the field of Internet of Things (IoT) and blockchain in distributed environments.
Advances In Distributed Computing And Machine Learning
DOWNLOAD eBooks
Author : Jyoti Prakash Sahoo
language : en
Publisher: Springer Nature
Release Date : 2022-01-01
Advances In Distributed Computing And Machine Learning written by Jyoti Prakash Sahoo and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022-01-01 with Technology & Engineering categories.
This book presents recent advances in the field of scalable distributed computing including state-of-the-art research in the field of Cloud Computing, the Internet of Things (IoT), and Blockchain in distributed environments along with applications and findings in broad areas including Data Analytics, AI, and Machine Learning to address complex real-world problems. It features selected high-quality research papers from the 2nd International Conference on Advances in Distributed Computing and Machine Learning (ICADCML 2021), organized by the Department of Computer Science and Information Technology, Institute of Technical Education and Research(ITER), Siksha 'O' Anusandhan (Deemed to be University), Bhubaneswar, India.
Advances In Distributed Computing And Machine Learning
DOWNLOAD eBooks
Author : Asis Kumar Tripathy
language : en
Publisher: Springer Nature
Release Date : 2020-06-11
Advances In Distributed Computing And Machine Learning written by Asis Kumar Tripathy and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-06-11 with Technology & Engineering categories.
This book presents recent advances in the field of distributed computing and machine learning, along with cutting-edge research in the field of Internet of Things (IoT) and blockchain in distributed environments. It features selected high-quality research papers from the First International Conference on Advances in Distributed Computing and Machine Learning (ICADCML 2020), organized by the School of Information Technology and Engineering, VIT, Vellore, India, and held on 30–31 January 2020.
Advances In Distributed Computing And Machine Learning
DOWNLOAD eBooks
Author : Rashmi Ranjan Rout
language : en
Publisher: Springer Nature
Release Date : 2022-07-27
Advances In Distributed Computing And Machine Learning written by Rashmi Ranjan Rout and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022-07-27 with Technology & Engineering categories.
This book includes a collection of peer-reviewed best selected research papers presented at the Third International Conference on Advances in Distributed Computing and Machine Learning (ICADCML 2022), organized by Department of Computer Science and Engineering, National Institute of Technology, Warangal, Telangana, India, during 15–16 January 2022. This book presents recent innovations in the field of scalable distributed systems in addition to cutting edge research in the field of Internet of Things (IoT) and blockchain in distributed environments.
Advances In Distributed Computing And Machine Learning
DOWNLOAD eBooks
Author : Umakanta Nanda
language : en
Publisher: Springer
Release Date : 2024-06-10
Advances In Distributed Computing And Machine Learning written by Umakanta Nanda and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-06-10 with Computers categories.
This book is a collection of peer-reviewed best selected research papers presented at the Fifth International Conference on Advances in Distributed Computing and Machine Learning (ICADCML 2024), organized by the School of Electronics and Engineering, VIT - AP University, Amaravati, Andhra Pradesh, India, during January 5–6, 2024. This book presents recent innovations in the field of scalable distributed systems in addition to cutting-edge research in the field of Internet of Things (IoT) and blockchain in distributed environments.
Advances In Distributed Computing And Machine Learning
DOWNLOAD eBooks
Author :
language : en
Publisher:
Release Date : 2021
Advances In Distributed Computing And Machine Learning written by and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021 with Electronic data processing categories.
This book presents recent advances in the field of distributed computing and machine learning, along with cutting-edge research in the field of Internet of Things (IoT) and blockchain in distributed environments. It features selected high-quality research papers from the First International Conference on Advances in Distributed Computing and Machine Learning (ICADCML 2020), organized by the School of Information Technology and Engineering, VIT, Vellore, India, and held on 30-31 January 2020.
Advances In Distributed Computing And Machine Learning
DOWNLOAD eBooks
Author :
language : en
Publisher:
Release Date : 2021
Advances In Distributed Computing And Machine Learning written by and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021 with Electronic data processing categories.
This book presents recent advances in the field of distributed computing and machine learning, along with cutting-edge research in the field of Internet of Things (IoT) and blockchain in distributed environments. It features selected high-quality research papers from the First International Conference on Advances in Distributed Computing and Machine Learning (ICADCML 2020), organized by the School of Information Technology and Engineering, VIT, Vellore, India, and held on 30-31 January 2020.
Advances In Distributed Computing And Machine Learning
DOWNLOAD eBooks
Author : Asis Kumar Tripathy
language : en
Publisher: Springer
Release Date : 2020-06-12
Advances In Distributed Computing And Machine Learning written by Asis Kumar Tripathy and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-06-12 with Technology & Engineering categories.
This book presents recent advances in the field of distributed computing and machine learning, along with cutting-edge research in the field of Internet of Things (IoT) and blockchain in distributed environments. It features selected high-quality research papers from the First International Conference on Advances in Distributed Computing and Machine Learning (ICADCML 2020), organized by the School of Information Technology and Engineering, VIT, Vellore, India, and held on 30–31 January 2020.
Advances In Distributed Systems
DOWNLOAD eBooks
Author : Sacha Krakowiak
language : en
Publisher: Springer Science & Business Media
Release Date : 2000-02-23
Advances In Distributed Systems written by Sacha Krakowiak and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2000-02-23 with Computers categories.
This book documents the main results developed in the course of the European project "Basic Research on Advanced Distributed Computing: From Algorithms to Systems (BROADCAST)". Eight major European research groups in distributed computing cooporated on this projects, from 1992 to 1999. The 21 thoroughly cross-reviewed final full papers present the state-of-the art results on distributed systems in a coherent way. The book is divided in parts on distributed algorithms, systems architecture, applications support, and case studies.
Distributed Computing And Artificial Intelligence Special Sessions Ii 15th International Conference
DOWNLOAD eBooks
Author : Sigeru Omatu
language : en
Publisher: Springer
Release Date : 2019-06-19
Distributed Computing And Artificial Intelligence Special Sessions Ii 15th International Conference written by Sigeru Omatu and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019-06-19 with Technology & Engineering categories.
This book addresses a broad range of topics, from newly proposed techniques in Artificial Intelligence (AI) and Machine Learning to various applications such as decision-making, pattern classification for data, image and signals, robotics, and control systems. Big data applications are discussed, while improved methods and wholly new methods for using deep learning technologies are also presented. The topics covered are comprehensive and reflect a wide range of technologies in the area. In particular, the latest methods in deep learning approaches and applications are discussed in many parts of the book, providing a better understanding of these new technologies. The book’s general scope includes the latest methods in the areas of Artificial Intelligence and Machine Learning for use in distributed computing as well as decision support systems. As the book covers a rather wide area, its intended readership ranges from those working in AI and machine learning technologies to those working on applications utilizing these technologies, researchers new to these areas who need background information on the technologies and applications, and more experienced researchers looking for new methods and applications.