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https://www.um.edu.mt/library/oar/handle/123456789/109416
Title: | Advanced computing |
Authors: | Garg, Deepak Sarangapani, Jagannathan Gupta, Ankur Garg, Lalit Gupta, Suneet |
Keywords: | Artificial intelligence Machine learning Reinforcement learning Medical care |
Issue Date: | 2022 |
Publisher: | Springer Nature Switzerland |
Citation: | Garg, D., Jagannathan, S., Gupta, A., Garg, L., & Gupta, S. (2022). Advanced Computing. Cham: Springer. |
Abstract: | The 11th International Advanced Computing Conference (IACC 2021) was organized with the objective of bringing together researchers, developers, and practitioners from academia and industry working in the area of advanced computing. IACC 2021 consisted of keynote lectures, tutorials, workshops, and oral presentations on all aspects of advanced computing. It was organized specifically to help the computer industry to derive benefits from the advances of next-generation computer and communication technology. Researchers invited to speak presented the latest developments and technical solutions in the areas of advances in machine learning and deep learning, advances in applications of artificial intelligence in interdisciplinary areas, reinforcement learning, and advances in data science. IACC promotes fundamental and applied research which can help in enhancing the quality of life. The conference was held during December 18–19, 2021, to make it an ideal platform for people to share views and experiences in futuristic research techniques in various related areas. The conference has a track record of acceptance rates from 15% to 20%. More than 12 IEEE/ACM Fellows hold key positions on the conference committee, giving it a quality edge. In the last ten years, the conference’s citation score has consistently increased. This has been possible due to adherence to quality parameters for the review process and acceptance rate, without any exception, which allows us to make some of the best research available through this platform. |
URI: | https://www.um.edu.mt/library/oar/handle/123456789/109416 |
Appears in Collections: | Scholarly Works - FacICTCIS |
Files in This Item:
File | Description | Size | Format | |
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Advanced_computing_2022.pdf Restricted Access | 97.58 MB | Adobe PDF | View/Open Request a copy |
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