Towards Interoperable Research Infrastructures for Environmental and Earth Sciences
Towards Interoperable Research Infrastructures for Environmental and Earth Sciences

Author: Zhiming Zhao

Publisher: Springer Nature

Published: 2020-07-24

Total Pages: 375

ISBN-13: 3030528294

DOWNLOAD EBOOK

This open access book summarises the latest developments on data management in the EU H2020 ENVRIplus project, which brought together more than 20 environmental and Earth science research infrastructures into a single community. It provides readers with a systematic overview of the common challenges faced by research infrastructures and how a ‘reference model guided’ engineering approach can be used to achieve greater interoperability among such infrastructures in the environmental and earth sciences. The 20 contributions in this book are structured in 5 parts on the design, development, deployment, operation and use of research infrastructures. Part one provides an overview of the state of the art of research infrastructure and relevant e-Infrastructure technologies, part two discusses the reference model guided engineering approach, the third part presents the software and tools developed for common data management challenges, the fourth part demonstrates the software via several use cases, and the last part discusses the sustainability and future directions.

Proceedings of Second Doctoral Symposium on Computational Intelligence
Proceedings of Second Doctoral Symposium on Computational Intelligence

Author: Deepak Gupta

Publisher: Springer Nature

Published: 2021-09-19

Total Pages: 902

ISBN-13: 9811633460

DOWNLOAD EBOOK

This book features high-quality research papers presented at Second Doctoral Symposium on Computational Intelligence (DoSCI-2021), organized by Institute of Engineering and Technology (IET), AKTU, Lucknow, India, on 6 March 2021. This book discusses the topics such as computational intelligence, artificial intelligence, deep learning, evolutionary algorithms, swarm intelligence, fuzzy sets and vague sets, rough set theoretic approaches, quantum-inspired computational intelligence, hybrid computational intelligence, machine learning, computer vision, soft computing, distributed computing, parallel and grid computing, cloud computing, high-performance computing, biomedical computing, decision support and decision making.

Artificial Intelligence for Air Quality Monitoring and Prediction
Artificial Intelligence for Air Quality Monitoring and Prediction

Author: Amit Awasthi

Publisher: CRC Press

Published: 2024-10-02

Total Pages: 303

ISBN-13: 1040131182

DOWNLOAD EBOOK

This book is a comprehensive overview of advancements in artificial intelligence (AI) and how it can be applied in the field of air quality management. It explains the linkage between conventional approaches used in air quality monitoring and AI techniques such as data collection and preprocessing, deep learning, machine vision, natural language processing, and ensemble methods. The integration of climate models and AI enables readers to understand the relationship between air quality and climate change. Different case studies demonstrate the application of various air monitoring and prediction methodologies and their effectiveness in addressing real-world air quality challenges. Features A thorough coverage of air quality monitoring and prediction techniques. In-depth evaluation of cutting-edge AI techniques such as machine learning and deep learning. Diverse global perspectives and approaches in air quality monitoring and prediction. Practical insights and real-world case studies from different monitoring and prediction techniques. Future directions and emerging trends in AI-driven air quality monitoring. This is a great resource for professionals, researchers, and students interested in air quality management and control in the fields of environmental science and engineering, atmospheric science and meteorology, data science, and AI.

Machine Learning and Big Data Analytics (Proceedings of International Conference on Machine Learning and Big Data Analytics (ICMLBDA) 2021)
Machine Learning and Big Data Analytics (Proceedings of International Conference on Machine Learning and Big Data Analytics (ICMLBDA) 2021)

Author: Rajiv Misra

Publisher: Springer Nature

Published: 2021-09-29

Total Pages: 362

ISBN-13: 3030824691

DOWNLOAD EBOOK

This edited volume on machine learning and big data analytics (Proceedings of ICMLBDA 2021) is intended to be used as a reference book for researchers and practitioners in the disciplines of computer science, electronics and telecommunication, information science, and electrical engineering. Machine learning and Big data analytics represent a key ingredients in the industrial applications for new products and services. Big data analytics applies machine learning for predictions by examining large and varied data sets—i.e., big data—to uncover hidden patterns, unknown correlations, market trends, customer preferences, and other useful information that can help organizations make more informed business decisions.

Artificial Intelligence For Science: A Deep Learning Revolution
Artificial Intelligence For Science: A Deep Learning Revolution

Author: Alok Choudhary

Publisher: World Scientific

Published: 2023-03-21

Total Pages: 803

ISBN-13: 9811265682

DOWNLOAD EBOOK

This unique collection introduces AI, Machine Learning (ML), and deep neural network technologies leading to scientific discovery from the datasets generated both by supercomputer simulation and by modern experimental facilities.Huge quantities of experimental data come from many sources — telescopes, satellites, gene sequencers, accelerators, and electron microscopes, including international facilities such as the Large Hadron Collider (LHC) at CERN in Geneva and the ITER Tokamak in France. These sources generate many petabytes moving to exabytes of data per year. Extracting scientific insights from these data is a major challenge for scientists, for whom the latest AI developments will be essential.The timely handbook benefits professionals, researchers, academics, and students in all fields of science and engineering as well as AI, ML, and neural networks. Further, the vision evident in this book inspires all those who influence or are influenced by scientific progress.

2019 15th International Conference on EScience (eScience)
2019 15th International Conference on EScience (eScience)

Author: IEEE Staff

Publisher:

Published: 2019-09-24

Total Pages:

ISBN-13: 9781728124520

DOWNLOAD EBOOK

eScience 2019 welcomes the international community of researchers and software engineers from all disciplines to present and discuss their scientific practices involving data science and computing Researchers from the humanities to physics, engaged in collaborative data or compute intensive research, are invited to attend The objective of the eScience Conference is to promote innovation in collaborative, computationally or data intensive research across all disciplines, throughout the research lifecycle

High Performance Computing
High Performance Computing

Author: Amanda Bienz

Publisher: Springer Nature

Published: 2023-09-25

Total Pages: 677

ISBN-13: 3031408438

DOWNLOAD EBOOK

This volume constitutes the papers of several workshops which were held in conjunction with the 38th International Conference on High Performance Computing, ISC High Performance 2023, held in Hamburg, Germany, during May 21–25, 2023. The 49 revised full papers presented in this book were carefully reviewed and selected from 70 submissions. ISC High Performance 2023 presents the following workshops: ​2nd International Workshop on Malleability Techniques Applications in High-Performance Computing (HPCMALL) 18th Workshop on Virtualization in High-Performance Cloud Computing (VHPC 23) HPC I/O in the Data Center (HPC IODC) Workshop on Converged Computing of Cloud, HPC, and Edge (WOCC’23) 7th International Workshop on In Situ Visualization (WOIV’23) Workshop on Monitoring and Operational Data Analytics (MODA23) 2nd Workshop on Communication, I/O, and Storage at Scale on Next-Generation Platforms: Scalable Infrastructures First International Workshop on RISC-V for HPC Second Combined Workshop on Interactive and Urgent Supercomputing (CWIUS) HPC on Heterogeneous Hardware (H3)

Software Architecture
Software Architecture

Author: Ilias Gerostathopoulos

Publisher: Springer Nature

Published: 2022-09-08

Total Pages: 225

ISBN-13: 3031166973

DOWNLOAD EBOOK

This book constitutes the refereed proceedings of the 16th International Conference on Software Architecture, ECSA 2022, held in Prague in September 2022. The 9 full papers and 6 short papers were carefully selected from 47 submissions. In the Research Track, 11 full papers presented together with 5 short papers were carefully reviewed and selected from 58 submissions. The papers are organized in topical sections as follows: components, APIs and interface management; architecting for data-driven systems; microservices and middleware; architecture modeling, design and decision making; architecture reconstruction and recovery.