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Titlebook: Data Engineering and Intelligent Computing; Proceedings of ICICC Vikrant Bhateja,Suresh Chandra Satapathy,V. N. Man Conference proceedings

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樓主: 婉言
11#
發(fā)表于 2025-3-23 11:45:37 | 只看該作者
12#
發(fā)表于 2025-3-23 17:01:33 | 只看該作者
2.2?Evidence-Based Patient Carer a fixed time duration. In this paper, the ANN tool is used to find out the prediction accuracy level of the accessibility of the wireless cellular network. For this purpose, key performance indicators (KPIs) data are acquired from the real field measurement of approximately 50,000 BTS locations by the Nokia Network Pvt. Ltd., India.
13#
發(fā)表于 2025-3-23 20:44:00 | 只看該作者
4.2?Effective Interdisciplinary Teamsd efficiently. This approach is tested on colorectal cancer histology image dataset which contains 5000 labeled images belonging to eight different classes. In our result, fine-tuning with early stopping performed better than other methods with accuracy of 91.2%.
14#
發(fā)表于 2025-3-23 23:57:44 | 只看該作者
Clinical Informatics Study Guiderithm with negative sampling is used to apply the machine learning concept in a better way. Through simulation results, it is cleared that number of accidents will reduce after applying the proposed concept.
15#
發(fā)表于 2025-3-24 04:26:16 | 只看該作者
16#
發(fā)表于 2025-3-24 10:20:53 | 只看該作者
Heuristic Approach to Detect Pectoral Muscle and Nipple in Mammogram for Computer-Aided Diagnosis,hm was tested on 266 MLO views from miniMIAS and 74CC views from local hospital. The pectoral muscle was detected with accuracy of 97%, and detected nipple position was acceptable in 93.67% of mammograms with average error of 5.755?mm with location annotated by a radiologist.
17#
發(fā)表于 2025-3-24 11:03:17 | 只看該作者
18#
發(fā)表于 2025-3-24 18:39:32 | 只看該作者
19#
發(fā)表于 2025-3-24 21:44:48 | 只看該作者
Predicting the Accuracy of Accessibility of LTE Network Using ANN,r a fixed time duration. In this paper, the ANN tool is used to find out the prediction accuracy level of the accessibility of the wireless cellular network. For this purpose, key performance indicators (KPIs) data are acquired from the real field measurement of approximately 50,000 BTS locations by the Nokia Network Pvt. Ltd., India.
20#
發(fā)表于 2025-3-25 00:21:41 | 只看該作者
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