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Titlebook: Complex, Intelligent and Software Intensive Systems; Proceedings of the 1 Leonard Barolli Conference proceedings 2024 The Editor(s) (if app

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樓主: Abeyance
31#
發(fā)表于 2025-3-26 21:00:44 | 只看該作者
32#
發(fā)表于 2025-3-27 05:12:11 | 只看該作者
Tetsushi Yonekura,Takeshi Izuta accuracy. Our results underscore the potential of the proposed model as?a valuable tool for cervical screening, which offers enhanced results and efficiency in identifying people at increased risk of cervical malignancies.
33#
發(fā)表于 2025-3-27 09:05:38 | 只看該作者
34#
發(fā)表于 2025-3-27 10:47:29 | 只看該作者
Christian Blondin,Gérard Therryestimating the overhead associated with job switching and determining its timing. To assess the usefulness of our system, we evaluated the overhead caused?by job switching. The evaluation results showed a 12.8% reduction?in overhead when switching when considering of the job’s running status, compared to switching without consideration.
35#
發(fā)表于 2025-3-27 16:15:49 | 只看該作者
,Investigation of Location Problem in Logistics Centers Using?ADMM Algorithm,, is employed to solve the model, yielding an optimal solution and corresponding supply and demand scheme. The reliability of the model is confirmed by simulation data, and the results of the case study demonstrate that the model holds significant reference value for the siting of logistics center construction.
36#
發(fā)表于 2025-3-27 21:00:17 | 只看該作者
37#
發(fā)表于 2025-3-27 23:02:09 | 只看該作者
Interpreting Large-Scale Attacks Against Open-Source Medical Systems Using eXplainable AI,GB-based detector and a SHAP-based explainer, to enhance the security of IoMT devices. The study is significant because it comprehensively addresses the assessment of large-scale attacks against medical devices with interpretation and explanation. Its outcomes improve healthcare delivery, reduce treatment errors, and improve patient trust.
38#
發(fā)表于 2025-3-28 02:25:25 | 只看該作者
39#
發(fā)表于 2025-3-28 10:18:53 | 只看該作者
40#
發(fā)表于 2025-3-28 14:28:42 | 只看該作者
,Feature Selection Based on?Ranking Metagenomic Relative Abundance for?Inflammatory Bowel Disease Pr performed an intersection on the Top 10, 20, 30, 40, and 50 features to determine which ones appear in all datasets. Our experiments on six inflammatory bowel disease-related datasets have yielded better results than previous studies.
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