Advances in Distributed Computing and Machine Learning
Author: Umakanta Nanda
Publisher: Springer Nature
Published:
Total Pages: 482
ISBN-13: 9819735238
DOWNLOAD EBOOKPosts
Advances in Distributed Computing and Machine Learning
Author: Asis Kumar Tripathy
Publisher: Springer Nature
Published: 2020-06-11
Total Pages: 526
ISBN-13: 981154218X
DOWNLOAD EBOOKThis 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
Author: Jyoti Prakash Sahoo
Publisher: Springer Nature
Published: 2022-01-01
Total Pages: 538
ISBN-13: 9811648077
DOWNLOAD EBOOKThis 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
Author: Suchismita Chinara
Publisher: Springer Nature
Published: 2023-06-27
Total Pages: 600
ISBN-13: 9819912032
DOWNLOAD EBOOKThis 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
Author: Rashmi Ranjan Rout
Publisher: Springer Nature
Published: 2022-07-27
Total Pages: 712
ISBN-13: 9811910189
DOWNLOAD EBOOKThis 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.
Scaling Up Machine Learning
Author: Ron Bekkerman
Publisher: Cambridge University Press
Published: 2012
Total Pages: 493
ISBN-13: 0521192242
DOWNLOAD EBOOKThis integrated collection covers a range of parallelization platforms, concurrent programming frameworks and machine learning settings, with case studies.
Advances in Distributed Computing and Machine Learning
Author: Umakanta Nanda
Publisher: Springer
Published: 2024-06-10
Total Pages: 0
ISBN-13: 9789819718405
DOWNLOAD EBOOKThis 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.
Distributed Computing and Artificial Intelligence, 13th International Conference
Author: Sigeru Omatu
Publisher: Springer
Published: 2016-06-01
Total Pages: 0
ISBN-13: 9783319401614
DOWNLOAD EBOOKThe 13th International Symposium on Distributed Computing and Artificial Intelligence 2016 (DCAI 2016) is a forum to present applications of innovative techniques for studying and solving complex problems. The exchange of ideas between scientists and technicians from both the academic and industrial sector is essential to facilitate the development of systems that can meet the ever-increasing demands of today’s society. The present edition brings together past experience, current work and promising future trends associated with distributed computing, artificial intelligence and their application in order to provide efficient solutions to real problems. This symposium is organized by the University of Sevilla (Spain), Osaka Institute of Technology (Japan), and the Universiti Teknologi Malaysia (Malaysia)
Research Anthology on Architectures, Frameworks, and Integration Strategies for Distributed and Cloud Computing
Author: Management Association, Information Resources
Publisher: IGI Global
Published: 2021-01-25
Total Pages: 2700
ISBN-13: 1799853403
DOWNLOAD EBOOKDistributed systems intertwine with our everyday lives. The benefits and current shortcomings of the underpinning technologies are experienced by a wide range of people and their smart devices. With the rise of large-scale IoT and similar distributed systems, cloud bursting technologies, and partial outsourcing solutions, private entities are encouraged to increase their efficiency and offer unparalleled availability and reliability to their users. The Research Anthology on Architectures, Frameworks, and Integration Strategies for Distributed and Cloud Computing is a vital reference source that provides valuable insight into current and emergent research occurring within the field of distributed computing. It also presents architectures and service frameworks to achieve highly integrated distributed systems and solutions to integration and efficient management challenges faced by current and future distributed systems. Highlighting a range of topics such as data sharing, wireless sensor networks, and scalability, this multi-volume book is ideally designed for system administrators, integrators, designers, developers, researchers, academicians, and students.
Advances in Distributed Computing and Machine Learning
Author: Umakanta Nanda
Publisher: Springer Nature
Published:
Total Pages: 483
ISBN-13: 9819718414
DOWNLOAD EBOOK