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 ...
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 ...