Sales-Based Models for Resource Management and Scheduling in Artificial Intelligence Systems-Reference-Cited by-同舟云学术

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Sales-Based Models for Resource Management and Scheduling in Artificial Intelligence Systems

Published:2023-12-13 Issue: Volume: Page:
ISSN:
Container-title:RAiSE-2023
language:
Short-container-title:

Author:

Dudeja Deepak¹,Sabharwal Shweta Mayor²,Ganganwar Yatish³,Singhal Manoj⁴,Goyal Nitin⁵,Tiwari Ashish⁶^ORCID

Affiliation:

1. Department of Computer Science and Engineering, Maharishi Markandeshwar Deemed to Be University, Ambala 133203, India

2. Department of Computer Science and Engineering, Galgotias University, Greater Noida 226001, India

3. Department of Management, Maharashtra Ex-Servicemen Corporation Ltd., Pune 411001, India

4. Department of Information Technology, GL Bajaj Institute of Technology and Management, Greater Noida 201306, India

5. Department of Computer Science and Engineering, IMS Engineering College, Ghaziabad 201015, India

6. Department of Computer Science and Engineering, Amity University, Lucknow 226010, India

Publisher

MDPI

Link

https://www.mdpi.com/2673-4591/59/1/43/pdf

Reference20 articles.

1. Advances, challenges, and opportunities in creating data for trustworthy AI;Liang;Nat. Mach. Intell.,2022

2. Reviewing Software Testing Models and Optimization Techniques: An Analysis of Efficiency and Advancement Needs;Kumar;J. Comput. Mech. Manag.,2023

3. Dora Pravina, C.T., Buradkar, M.U., Jamal, M.K., Tiwari, A., Mamodiya, U., and Goyal, D. (2022, January 23–24). A Sustainable and Secure Cloud resource provisioning system in Industrial Internet of Things (IIoT) based on Image Encryption. Proceedings of the 4th International Conference on Information Management & Machine Intelligence, Jaipur, India.

4. Multi-level collaborative framework decryption-based computing systems;Ravula;AIP Conf. Proc.,2023

5. Raji, I.D., Kumar, I.E., Horowitz, A., and Selbst, A. (2022, January 21–24). The fallacy of AI functionality. Proceedings of the 2022 ACM Conference on Fairness, Accountability, and Transparency, Seoul, Republic of Korea.

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