Abstract: Flood mapping using remote sensing data is critical to disaster response, especially in real-time monitoring and edge deployment. However, existing deep-learning (DL) models often face ...
Abstract: Human trafficking is a serious problem that requires new ideas and data-driven approaches to identify and solve. In this study, we analyze large datasets to identify patterns and anomalies ...
Transfer Learning for Anomaly Detection in Rotating Machinery Using Data-Driven Key Order Estimation
Abstract: The detection of anomalous behavior of an engineered system or its components is an important task for enhancing reliability, safety, and efficiency across various engineering applications.
1 Xi’an Key Laboratory of Advanced Photo-Electronics Materials and Energy Conversion Device, School of Electronic Information, Xijing University, Xi’an, China 2 Beijing Chaoyang Foreign Language ...
Abstract: Weather radars are essential for monitoring airborne animals, including birds and insects. Despite the potential of dual-polarization radar moments for echo classification, extracting ...
Abstract: This pioneering study explores the impact of incorporating weather data into the prediction of tourism demand in Sri Lanka, marking one of the first assessments of its kind in this context.
Abstract: Phishing is a prevalent cybercrime where attackers employ social engineering techniques to deceive individuals into disclosing sensitive information. This is often done through deceptive ...
Abstract: Forest fires pose significant environmental and economic threats, necessitating robust predictive models for better management and prevention. This study focuses on the temporal and spatial ...
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