June 2025
Intermediate to advanced
400 pages
10h 37m
English
book
Distributed Time-Sensitive Systems
by Tanupriya Choudhury, Rahul Kumar Singh, Ravi Tomar, S. Balamurugan, J. C. Patni
Content preview from Distributed Time-Sensitive Systems
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1Analytical Survey of AI Data Analysis Techniques
Divyansh Singhal1, Roohi Sille1*, Tanupriya Choudhury2, Thinagaran Perumal3 and Ashutosh Sharma4
1SOCS, UPES, Dehradun, India
2School of Computer Sciences (SoCS), University of Petroleum and Energy Studies (UPES), Dehradun, Uttarakhand, India
3Department of Computer Science, University Putra, Selangor, Malaysia
4Henan University of Science and Technology, Henan, China
Abstract
The tasks carried out by humans are automated using artificial intelligence algorithms. The intelligence that AI has given through continuous learning from regularly trained models is the primary reason it is employed in every element and sector. Understanding and analyzing data is the most crucial and difficult task, if there is a lot of it. Data science is also popular right now and deals with complicated problems analytically. The data are broken up into smaller pieces, so that the trends and behaviors may be understood. The handling of vast amounts of data is the main challenge in data science.
The processing of enormous amounts of data using various AI algorithms is a subject of intense investigation. The great compute capacity, rapid processing speed, and very effective models required by the AI techniques used for processing enormous volumes of data are necessary to prevent errors in the management of the data.
In this study, the various hardware and software resources needed for the handling and analysis of massive amounts of data will be examined. ...
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