REAL-TIME GROUND-LEVEL BUILDING DAMAGE DETECTION BASED ON LIGHTWEIGHT AND ACCURATE YOLOV5 USING TERRESTRIAL IMAGES

Real-Time Ground-Level Building Damage Detection Based on Lightweight and Accurate YOLOv5 Using Terrestrial Images

Real-time building damage detection effectively improves the timeliness of post-earthquake assessments.In recent years, terrestrial images from smartphones or cameras have become a rich source of disaster information that may be useful in assessing building damage at a lower cost.In this study, we present an efficient method of building damage dete

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Determinants of transitions in water and sanitation services in two urban slums of Nairobi: A multi-state modeling approach

Access to improved water, sanitation, and hygiene (WASH) services at the household level remains a good strategy to improve the health and well-being of individuals.Informal settlements, such arrethe bush balm as urban slums, are at risk of the spread of diseases due to the relative lack of access to safe, clean drinking water and basic sanitation,

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An Attention Mechanism-Based Interpretable Model for Epileptic Seizure Detection and Localization With Self-Supervised Pre-Training

Epilepsy, characterized by unpredictable seizures caused by abnormal brain activity, presents significant diagnostic challenges due to the complexity of interpreting electroencephalogram (EEG) signals.Current EEG analysis methods rely heavily on manual annotations by neurophysiologists, limiting scalability and efficient utilization of vast clinica

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Online cognitive behavioral therapy enhanced for binge eating disorder: study protocol for a randomized controlled trial

Abstract Background Binge eating disorder is characterized by recurrent episodes of binge eating accompanied by a sense of lack of control.Of the different treatments available, Cognitive Behavioral Therapy-Enhanced and guided self-help treatment are recommended.As online treatment offers several additional advantages, we have developed a CBT-Enhan

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