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Titlebook: Intelligent Systems and Data Science; Second International Nguyen Thai-Nghe,Thanh-Nghi Do,Salem Benferhat Conference proceedings 2025 The E

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楼主: 航天飞机
发表于 2025-3-28 16:07:20 | 显示全部楼层
Deep Learning for Fashion Consulting the following results: Category classification: 82.8%; Landmarks detection: 69.1%; Attribute classification: 97.6%. The research showed 85% response accuracy and 72% entity and value recognition accuracy.
发表于 2025-3-28 19:13:52 | 显示全部楼层
EEC-IGE: Diagnosing Eye Diseases with DL-CNN and Integrated Gradientsion highlights the efficacy of the EEC-IGE framework in leveraging pre-trained CNN models (EfficientNetB3) for the classification of Color fundus photography (CFP) images depicting eye diseases, achieving classification accuracies of 99%, 99.5%, 97.25%, and 97.75% across four distinct experimental s
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Traffic Flow Velocity Estimation from Single Camera Datading box and mask loss coefficient while the error rate was around 7.4% with our dataset and 7.47% with BrnoCompspeed. These results strongly suggest high applicability of the implementation in real world applications, especially in Vietnam.
发表于 2025-3-29 08:05:52 | 显示全部楼层
Developing an AI Vision-Based Approach for Extracting Traffic Information from Imagesversational AI models like ChatGPT, enabling enhanced efficiency and improved transportation experiences. The accuracy of our system was assessed by comparing the extracted information with ground truth data, and it remained consistent throughout the validation process.
发表于 2025-3-29 15:03:24 | 显示全部楼层
Proposal Feature Fusion Attention Network to Eliminate Fog Effects for Cameras. The results show that the algorithm achieves high accuracy with a PSNR coefficient of up to 36.39 and SSIM of up to 0.992 which is feasible for practical application. This result reveals the proposed approaches’ readiness to be applicable in real-world applications, especially for the intelligent
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Shahriar Rahman Niloy,Toushif Muktashid Hasan,Md. Saiduzzaman Apu,Rakibul Hasan,Kamrul Islam Shahin,professional conferences has grown steadily, and the number of professionalscalling themselves ethnobotanists has increased significantly. Various societies of such professionals include the Society for Economic Botany, the International Society of Ethnopharmacology, the Society of Ethnobiology, the
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