Abstract: Non-Line-of-Sight (NLOS) reception is acknowledged as a primary source of positioning error in Global Navigation Satellite System (GNSS) applications ...
Abstract: Aerial image classification plays a vital role in applications such as building footprint extraction, water/soil analysis, 3D reconstruction. Accurate classification enables timely ...
A Florida man pulled into a fire station after a giant python slithered into his car dashboard. Firefighters safely removed the snake.
Abstract: In recent years, uncrewed aerial vehicle (UAV) technology has shown great potential for application in hyperspectral image (HSI) classification tasks due to its advantages of flexible ...
Water Quality Assessment Leveraging CNN-LSTM and Gradient Boosting for Prediction and Classification
Abstract: Accurate prediction of water quality can support in water resource management by the early warning of water pollution. Water quality assessment is crucial for ensuring the availability of ...
Abstract: Urban sound classification has become a critical enabling technology for Internet of Things (IoT) applications, smart cities, and environmental monitoring systems. Despite advances in deep ...
Abstract: Electrical circuits play a vital role in industrial, automotive, and power systems, where even minor faults can lead to severe performance degradation or system failure. Traditional fault ...
Abstract: Pulmonary hypertension (PH) is a life-threatening condition that often coexists with chronic obstructive pulmonary disease (COPD), yet few diagnostic studies explicitly account for this ...
Abstract: In the present era, Cancer-related deaths are predominantly driven by lung cancer globally, causing significant deaths across all demographics. Precise prediction and evaluation of treatment ...
Abstract: Urban sound classification plays a crucial role in smart city applications, enabling noise monitoring, emergency detection, and environmental analysis. This paper proposes a lightweight ...
Abstract: Encrypted traffic classification, which aims to identify application-layer semantics without decrypting packet pay-loads, has emerged as a pivotal challenge in modern network intelligence ...
Abstract: Skin cancer continues to be a prevalent and deadly malignancies cancer globally, necessitating early and accurate diagnosis. Lightweight CNN has emerged as effective tools for automated skin ...
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