Books by Keyword: Big Data

Description: The idea of the 12th Annual International Conference on Material Science and Engineering (ICMSE2024, Hangzhou, Zhejiang, China, July 26-28, 2024) was for the scientists, engineers and students all around the world to present ongoing results of research activities, and hence to foster technical sciences and relations between the researchers and the industry. The presented research results will be useful for people whose activity is related to materials science, mechanical engineering, construction, and the practical application techniques of big data processing and artificial intelligence.

Description: This edition contains papers dedicated on research results that were presented at the 12th Annual International Conference on Material Science and Engineering (ICMSE 2024, 26-28 July 2024, Hangzhou, Zhejiang, China) that emphasis a broad spectrum of issues and solutions related to mechanical engineering - design machines, tools and equipment; reliability and durability of engineering structures, big data and applications of artificial intelligence, engineering management and ecological safety. The publication will be helpful for many specialists in machinery, information technologies, production organisation and environmental engineering.

Description: This edition collects the selected peer-reviewed full text papers from the International Research Conference on IoT, Cloud and Data Science (IRCICD'22), held on May 06-07, 2022, in Chennai, India. One of the most significant characteristics of the evolving digital age is the convergence of technologies that includes sensors (Internet of Things: IoT), data storage (cloud), information management (databases), data collection (big data), data applications (analytics), knowledge discovery (data science), algorithms (machine learning), transparency (open data) and API services (micro services, containerization). The Research Conference on IoT, Cloud and Data Science - IRCICD'22 aimed at bringing together researchers from the industry, academicians and business delegates, scholars and graduate students to exchange and share their experiences, new ideas, and research results across aspects of IoT, Cloud and Data Sciences. The conference focused on promoting recent advances and innovation in the field of IoT, Cloud and Data Science.

Description: This book includes papers presented at the International Conference on Materials, Computer Engineering and Education Technology (MCEET 2020, December 19-20, 2020, China). MCEET 2020 provided an excellent international forum for sharing knowledge and results in materials science, machinery design, robotics and mechatronics, computer engineering, information technologies, and education.

Description: Volume is indexed by Thomson Reuters CPCI-S (WoS)
Collection of selected, peer reviewed papers from the 2013 International Forum on Materials Science and Industrial Technology (IFMSIT 2013), August 30 – September 1, 2013, Qingdao, China.
The 264 papers are grouped as follows:
I. Material Science, Advanced Chemical Engineering and Technologies;
II. Industrial, Manufacturing Technology and Engineering;
III. Intelligent Automation and Control, Electronics, Communications and Information Technology Applications;
IV. Computational and Computer Science Technology, Algorithms;
V. Management Science Engineering, Economics, Business, Logistics Applications;
VI. Medicine and Health Engineering, Biotechnology;
VII. Environmental Protection and Technology, Ecology and Resource Development.