Intersectoral Artificial Intelligence Technologies: Search for and Implementation of Efficient Solutions
Author:
Publisher
Pleiades Publishing Ltd
Subject
General Mathematics
Link
https://link.springer.com/content/pdf/10.1134/S1064562422060114.pdf
Reference18 articles.
1. I. E. I. Bekkouch et al., “Multi-landmark environment analysis with reinforcement learning for pelvic abnormality detection and quantification,” Med. Image Anal. 78, 102417 (2022).
2. E. Kornaeva et al., “Physics-based loss and machine learning approach in application to non-Newtonian fluids flow modeling,” Proceedings of 2022 IEEE Congress on Evolutionary Computation, CEC 2022 (IEEE, 2022).
3. M. H. F. Butt et al., “A fast and compact hybrid CNN for hyperspectral imaging-based bloodstain classification,” Proceedings of 2022 IEEE Congress on Evolutionary Computation, CEC 2022 (IEEE, 2022).
4. P. K. Das et al., “A systematic review on recent advancements in deep and machine learning based detection and classification of acute lymphoblastic leukemia,” IEEE Access 10, 81741–81763 (2022).
5. AI Radiology. https://ai.innopolis.university/airadiology. Accessed October 27, 2022.
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