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Titlebook: Biomedical and Other Applications of Soft Computing; Nguyen Hoang Phuong,Vladik Kreinovich Book 2023 The Editor(s) (if applicable) and The

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發(fā)表于 2025-3-28 16:02:03 | 只看該作者
42#
發(fā)表于 2025-3-28 21:49:05 | 只看該作者
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發(fā)表于 2025-3-29 02:57:49 | 只看該作者
,Binary Image Classification Using Convolutional Neural Network for?V2V Communication Systems,omous vehicles. Vehicular communication is a research direction of data transmission between autonomous vehicles based on a communication system called a vehicular optical communication camera (VOCC). Thanks to the VOCC system, the vehicles transfer information about the position, direction, speed,
44#
發(fā)表于 2025-3-29 03:17:44 | 只看該作者
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發(fā)表于 2025-3-29 07:28:56 | 只看該作者
Shop Product Tracking and Early Fire Detection Using Edge Devices,aints on power and resources that make edge device applications different from conventional applications. This paper proposes an architecture for tracking shop products and detecting early fire detection using computer vision that can be implemented in edge devices. Experimental results showed that
46#
發(fā)表于 2025-3-29 11:55:17 | 只看該作者
SDNs Delay Prediction Using Machine Learning Algorithms,learning to predict the connection delay value between two devices in traditional networks. However, there is little research using Software-Defined Networks (SDNs) because of the lack of SDNs traffic datasets. A method for collecting SDNs traffic data with delay values is proposed in this manuscrip
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發(fā)表于 2025-3-29 15:54:16 | 只看該作者
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發(fā)表于 2025-3-29 19:54:38 | 只看該作者
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發(fā)表于 2025-3-30 00:44:31 | 只看該作者
Disease Diagnosis Based on Symptoms Description,However, a relatively large number of Vietnamese people usually avoid going to the hospital as they are afraid of long waits at such crowded places, while the current COVID-19 pandemic means being at those places poses a higher risk of contracting the disease. For simpler health problems, people wou
50#
發(fā)表于 2025-3-30 08:08:25 | 只看該作者
Chest X-Ray Image Analysis with ResNet50, SMOTE and SafeSMOTE,Following inference approach, we address the representation of features of medical images and class distribution as a comprehensive study of how symptoms of COVID-19 in chest X-ray images can be detected. The method extracts distinct features using a convolutional neural network that allows explorin
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