Abstract: The research aims to improve underwater image quality due to the scattering and absorption of light, resulting in poor image quality and reduced visibility. In this study, we propose a novel ...

Abstract: A scene image is usually composed of foreground objects and background contexts with a certain spatial layout. For better scene representation, we proposed a novel scene recognition ...

A partial government shutdown restricting funding to the Department of Homeland Security has caused a ripple effect for airports across the country, worsening airport lines amid an incredibly busy ...

Abstract: Currently, the rapid development of the aviation industry has made the safety of the airport becomes more and more important. The most important part of this is the capability of ...

Abstract: Underwater photography has long been subject to degradation from turbulence and suspended particles; conventional techniques such as picture enhancement, restoration, and reconstruction have ...

Abstract: Path planning is a core technology for mobile robots to achieve autonomous navigation and obstacle avoidance. To address the shortcomings of traditional path planning algorithms in terms of ...

Abstract: Breast cancer remains one of the leading causes of mortality among women worldwide, necessitating early and precise detection methods. Traditional models often struggle with imbalanced data, ...

Abstract: This paper proposes a hybrid demodulation algorithm for fiber Bragg grating (FBG) sensors that integrates a lightweight 1D Convolutional Neural Network (1D-CNN) with centroid localization.

Abstract: With the rapid development of new energy and the improvement of economic dispatch standards in power systems, accurately forecasting photovoltaic (PV) power generation data is crucial for ...

Abstract: Facial expression recognition (FER) is the key to understanding human emotions and feelings. It is an active area of research since human thoughts can be collected, processed, and used in ...