Titlebook: Quality, Reliability, Security and Robustness in Heterogeneous Systems; 19th EAI Internation Victor C.M. Leung,Hezhang Li,Zhaolong Ning Con

Congeal

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Automatic Depression Detection Using Attention-Based Deep Multiple Instance Learning for depression lead to a significant number of depressed patients without accurate diagnosis and subsequent serious consequences. With the rise of social media, previous studies have found that the information of depressed patients on social media can be analyzed to automatically detect depression

subacute

Analysis of Factors Related to Anxiety and Depression in Medical Studentshold the potential to shape the future of societal progress, with medical students shouldering a crucial responsibility for the development of overall community health. However, many medical students are susceptible to psychological disorders such as anxiety and depression due to high levels of stre

compassion

Structural Health Monitoring of Carbon Fiber Composite Lamination Using Electrical Resistanceensing of the carbon fibers. However, due to the high stiffness and brittleness of the composite material, damage often occurs instantaneously. It is difficult to monitor damage patterns and control damage through factors such as fiber type variables and displacement relationships. This is why monit

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招人嫉妒

Research on Traffic Sign Image Recognition Algorithms Under Complex Weather Conditionsof both people and equipment is greatly affected in foggy weather, leading to the emergence of foggy image processing. We analyzed the recognition requirements of traffic signs in foggy weather and conducted research on algorithms for removing fog from foggy images and extracting image edges. This t