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Titlebook: Complex, Intelligent and Software Intensive Systems; Proceedings of the 1 Leonard Barolli Conference proceedings 2022 The Editor(s) (if app

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楼主: Clinical-Trial
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Winnie V. Mitullah,Logan Cochraneccuracy of 0.84 in abnormal and normal bone classification tasks on the wrist, humerus, and elbow. The work is expected to provide visual support for doctors in diagnosing and identifying bone anomalies on X-ray images based on leveraging advancements from Artificial Intelligence techniques for medi
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Complex, Intelligent and Software Intensive SystemsProceedings of the 1
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,Energy-Efficient Two-Phase Locking Protocol by Omitting Meaningless Read and Write Methods,ermore reduce the total electric energy consumption of servers and the execution time of each transaction than the EE2PL protocol by omitting both meaningless read and write methods. Evaluation results show the total electric energy consumption of servers and the execution time of each transaction c
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,Remote Medical Assistance Vehicle in Covid-19 Quarantine Areas: A Case Study in Vietnam,s an electric sprayer to support disinfecting spray a Xiaomi camera to stream video and communicate directly with patients and healthy in isolation. Ultrasonic sensors and infrared sensors aim to scan obstacles through reflected waves. The reflected signals received from the barrier objects are used
发表于 2025-3-27 20:50:52 | 显示全部楼层
,Dynamic Job Allocation on Federated Cloud-HPC Environments,the . software library, a C++ based simulation framework, for evaluating the jobs allocation strategies that lay at the core of a federated execution platform. A greedy-based allocation strategy has been evaluated against random and round-robin approaches; then, this greedy allocation strategy has b
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,Transfer Learning with Fine-Tuning on MobileNet and GRAD-CAM for Bones Abnormalities Diagnosis,ccuracy of 0.84 in abnormal and normal bone classification tasks on the wrist, humerus, and elbow. The work is expected to provide visual support for doctors in diagnosing and identifying bone anomalies on X-ray images based on leveraging advancements from Artificial Intelligence techniques for medi
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