Author: IEEE Staff
Publisher:
Published: 2021-01-28
Total Pages:
ISBN-13: 9781665448260
DOWNLOAD EBOOK →Algorithms br Artificial Intelligence br Audio and Video Technology, Case Based Reasoning Collaborative Computing, Communication Systems and Networks Component Based Software, Engineering br Cryptography and Network Security Natural Language Processing, Data Mining and Machine Learning, Database System Management E Commerce and its applications, Embedded Systems, Image, Speech, and Signal Processing br , Information Assurance, Internet Technology and Applications, Mobile Wireless Ad Hoc Networks, Neural Networks & Genetic Algorithms, Operating Systems br Parallel and Distributed Computing Software Specification & Architecture, Software Testing br Visual and Multimedia Computing, Voice over IP and Security User Centered Design Methods, Web Based Applications
Author: IEEE Staff
Publisher:
Published: 2022-12-07
Total Pages: 0
ISBN-13:
DOWNLOAD EBOOK →The 23rd IEEE ACIS International Conference on Software Engineering, Artificial Intelligence, Networking and Parallel Distributed Computing (SNPD2022) brings together researchers, scientists, engineers, industry practitioners, and students to discuss, encourage and exchange new ideas, research results, and experiences on all aspects of computer and information science SNPD2022 aims to facilitate cross fertilizations among the key technology enabling areas and is soliciting papers in these areas
Author: Wang, John
Publisher: IGI Global
Published: 2023-01-20
Total Pages: 3296
ISBN-13: 1799892212
DOWNLOAD EBOOK →Big data and machine learning are driving the Fourth Industrial Revolution. With the age of big data upon us, we risk drowning in a flood of digital data. Big data has now become a critical part of both the business world and daily life, as the synthesis and synergy of machine learning and big data has enormous potential. Big data and machine learning are projected to not only maximize citizen wealth, but also promote societal health. As big data continues to evolve and the demand for professionals in the field increases, access to the most current information about the concepts, issues, trends, and technologies in this interdisciplinary area is needed. The Encyclopedia of Data Science and Machine Learning examines current, state-of-the-art research in the areas of data science, machine learning, data mining, and more. It provides an international forum for experts within these fields to advance the knowledge and practice in all facets of big data and machine learning, emphasizing emerging theories, principals, models, processes, and applications to inspire and circulate innovative findings into research, business, and communities. Covering topics such as benefit management, recommendation system analysis, and global software development, this expansive reference provides a dynamic resource for data scientists, data analysts, computer scientists, technical managers, corporate executives, students and educators of higher education, government officials, researchers, and academicians.
Author: IEEE Staff
Publisher:
Published: 2022-07-04
Total Pages: 0
ISBN-13:
DOWNLOAD EBOOK →The subject matter of SNPD 2022 Summer deals with software engineering, artificial intelligence, and networking and parallel distributed computing These topics fit in well with the IEEE Computer Society s fields of interest
Author: IEEE Computer Society
Publisher:
Published: 2022
Total Pages: 0
ISBN-13:
DOWNLOAD EBOOK →The subject matter of SNPD 2022 Summer deals with software engineering, artificial intelligence, and networking and parallel distributed computing These topics fit in well with the IEEE Computer Society s fields of interest.
Author: IEEE Staff
Publisher:
Published: 2021-11-24
Total Pages:
ISBN-13: 9781665447324
DOWNLOAD EBOOK →The 22nd IEEE ACIS International Conference on Software Engineering, Artificial Intelligence, Networking and Parallel Distributed Computing (SNPD2021) brings together researchers, scientists, engineers, industry practitioners, and students to discuss, encourage and exchange new ideas, research results, and experiences on all aspects of computer and information science SNPD2021 aims to facilitate cross fertilizations among the key technology enabling areas and is soliciting papers in these areas