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Titlebook: Computational Intelligence in Data Mining; Proceedings of ICCID Janmenjoy Nayak,H.S. Behera,Danilo Pelusi Conference proceedings 2022 The E

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樓主: HEM
41#
發(fā)表于 2025-3-28 16:31:07 | 只看該作者
42#
發(fā)表于 2025-3-28 19:44:42 | 只看該作者
43#
發(fā)表于 2025-3-29 02:07:02 | 只看該作者
44#
發(fā)表于 2025-3-29 05:07:50 | 只看該作者
45#
發(fā)表于 2025-3-29 11:00:57 | 只看該作者
46#
發(fā)表于 2025-3-29 11:42:40 | 只看該作者
Intelligent Computing Systems for Diagnosing Plant Diseases,e plants such as seeds, stems, leaves, fruits, flowers can be used to detect the health of the plants or to identify the diseases on them. This paper specifically focuses on the methods that include plant leaves to detect the disease. The objective of the paper is to comprehend various approaches fo
47#
發(fā)表于 2025-3-29 19:37:43 | 只看該作者
48#
發(fā)表于 2025-3-29 22:08:51 | 只看該作者
Early Onset Alzheimer Disease Classification Using Convolution Neural Network, in later stage. The diagnosis of this slow growing disease is difficult as it does not show any symptoms in the early stage. As the deep neural networks have shown its success to process the medical images, the paper uses convolution neural network for early detection of the Alzheimer’s disease usi
49#
發(fā)表于 2025-3-30 03:56:07 | 只看該作者
50#
發(fā)表于 2025-3-30 04:46:20 | 只看該作者
,Exploratory Analysis of Kidney Disease Data Set—A Comparative Study,th kidney-related disease was employed. Study explores that random forest is efficient as compared with decision trees. It is recommended that, in the future, random forest methods will be more fruitful in the classification related to the kidney patients.
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