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Titlebook: Computational Intelligence in Pattern Recognition; Proceedings of CIPR Asit Kumar Das,Janmenjoy Nayak,Danilo Pelusi Conference proceedings

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發(fā)表于 2025-3-26 21:41:06 | 只看該作者
32#
發(fā)表于 2025-3-27 02:24:02 | 只看該作者
33#
發(fā)表于 2025-3-27 06:02:52 | 只看該作者
34#
發(fā)表于 2025-3-27 11:18:18 | 只看該作者
Failure of Networks and Network Managementearly accurate bounding box. The model which identifies the accurate lesions caused by diabetic retinopathy with the disease named as “exudates” and “microaneurysms” will be considered for the future references.
35#
發(fā)表于 2025-3-27 17:14:34 | 只看該作者
https://doi.org/10.1007/978-3-8350-9580-9ings significantly impact the development of more accurate and efficient diagnostic tools in the healthcare industry. This research is essential to achieve automated, effective, timely health diagnosis, and improving patient healthcare outcomes.
36#
發(fā)表于 2025-3-27 18:08:34 | 只看該作者
37#
發(fā)表于 2025-3-27 23:34:20 | 只看該作者
https://doi.org/10.1007/978-3-8350-9580-9on-stroke classes based on health diagnosis data collected from Kaggle. After balancing the data, we conducted several experiments to test the model’s functioning using various traditional classification models.
38#
發(fā)表于 2025-3-28 05:32:46 | 只看該作者
39#
發(fā)表于 2025-3-28 07:16:18 | 只看該作者
40#
發(fā)表于 2025-3-28 11:47:02 | 只看該作者
Performance Investigation of SVM and Modified SVM Algorithms for Acute Health Diagnosis,ings significantly impact the development of more accurate and efficient diagnostic tools in the healthcare industry. This research is essential to achieve automated, effective, timely health diagnosis, and improving patient healthcare outcomes.
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