Senescent
发表于 2025-3-23 10:48:48
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字形刻痕
发表于 2025-3-23 14:35:20
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judicial
发表于 2025-3-23 18:31:44
Ethical Surveillance: Applying Deep Learning and Contextual Awareness for the Benefit of Persons Livhows that deep learning is possible using relatively low capacity computing. When applied, this demonstrates promising results in spatio-temporal positioning of subjects, in prediction of movement, and assessment of contextual risk. A . surveillance system is particularly suitable in the care of those who may be considered vulnerable.
scotoma
发表于 2025-3-23 22:12:24
A Knowledge-Based Simulation Framework for Decision Support in Brazilian National Cancer Institute diagnosis. The reduction of waiting time to start cancer treatment is one of the main issues for improvement of patient’s quality of life and possibilities of cure. This study presents a knowledge-based simulation framework developed at the Brazilian National Cancer Institute (INCA) to reduce patients’ waiting time to start cancer treatment.
粘连
发表于 2025-3-24 04:14:18
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密码
发表于 2025-3-24 09:13:31
Towards Automated Pain Detection in Children Using Facial and Electrodermal Activitytures which are less sensitive to environmental changes. We demonstrate the benefit of the fusion and the transferred video features with a special test case involving domain adaptation and improved performance relative to using EDA and video features alone.
垄断
发表于 2025-3-24 11:54:53
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DENT
发表于 2025-3-24 14:56:02
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Albinism
发表于 2025-3-24 22:20:14
,Physiognomy: Training’s Woeful Countenance,hows that deep learning is possible using relatively low capacity computing. When applied, this demonstrates promising results in spatio-temporal positioning of subjects, in prediction of movement, and assessment of contextual risk. A . surveillance system is particularly suitable in the care of those who may be considered vulnerable.
CANE
发表于 2025-3-25 02:24:01
Fazit: Die Identität des Star Wars Fans diagnosis. The reduction of waiting time to start cancer treatment is one of the main issues for improvement of patient’s quality of life and possibilities of cure. This study presents a knowledge-based simulation framework developed at the Brazilian National Cancer Institute (INCA) to reduce patients’ waiting time to start cancer treatment.