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Frailty assessment is a critical approach to assessing the health status of older people. There is interest in the nature and degree of frailty in various physical, environmental, social, psychological, and physiological domains. The physical domain has proved to be the most important as the degree of frailty can be assessed objectively. Various clinical tools deployed by geriatricians in assessing frailty can be grouped into two categories of questionnaire-based and physical performance analysis. In the former approach, answers vary from double (yes or no) to multiple choices and are marked a...

Whether AI may be a promising strategy for post-traumatic stress disorder (PTSD) diagnosis.

Researchers examined recent studies exploring neuroimaging modalities aided by advanced machine learning (ML) algorithms.

Landslides are a dangerous natural hazard that can critically harm road infrastructure in mountainous places, resulting in significant damage and fatalities. The primary purpose of this study was to assess the efficacy of three machine learning algorithms (MLAs) for landslide susceptibility mapping including random forest (RF), decision tree (DT), and support vector machine (SVM). We selected a case study region that is frequently affected by landslides, the important Kamyaran–Sarvabad road in the Kurdistan province of Iran. Altogether, 14 landslide evaluation factors were input into the MLA...

Object detection is an advanced area of image processing and computer vision. Its major applications are in surveillance, autonomous driving, face recognition, anomaly detection, traffic management, agriculture etc. This paper focuses on various object detection techniques in thermal images. A thermal imaging sensor is a device that creates an image by analyzing temperature differences between different objects in a scene and detecting radiation from those objects. In recent years, many machine learning and deep learning algorithms have been used to recognize objects in thermal images. This st...