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http://dx.doi.org/10.5698/1535-7511.17.3.174 | DOI Listing |
Sensors (Basel)
January 2025
School of Information Engineering, Nanchang Hangkong University, Nanchang 330063, China.
Pedestrian detection is widely used in real-time surveillance, urban traffic, and other fields. As a crucial direction in pedestrian detection, dense pedestrian detection still faces many unresolved challenges. Existing methods suffer from low detection accuracy, high miss rates, large model parameters, and poor robustness.
View Article and Find Full Text PDFSci Rep
January 2025
Shandong University of Science and Technology, Qingdao, 266590, China.
Explainability is a very active area of research in machine learning and image processing. This paper aims to investigate the explainability of visible light and infrared image fusion technology in order to enhance the credibility of model understanding and application. Firstly, a multimodal image fusion model was proposed based on the advantages of convolutional neural networks (CNN) for local context extraction and Transformer global attention mechanism.
View Article and Find Full Text PDFSmall Methods
January 2025
Wide-bandgap semiconductors (WBGS) with energy bandgaps larger than 3.4 eV for GaN and 3.2 eV for SiC have gained attention for their superior electrical and thermal properties, which enable high-power, high-frequency, and harsh-environment devices beyond the capabilities of conventional semiconductors.
View Article and Find Full Text PDFInt J Pharm
January 2025
Department of Life Sciences and Health, Oslo Metropolitan University (OsloMet), Oslo, Norway.
This study focused on the development of cholesterol-free fusogenic liposomes with different surface charge with the aim of improving biofilm penetration. In vitro assessments of the liposomes included physical stability, biocompatibility, fusion with microbial cells, and the ability to penetrate established biofilms. Using dynamic light scattering, cholesterol-free, fusogenic liposomes were found to be < 200 nm in size with small size distribution (PDI < 0.
View Article and Find Full Text PDFSensors (Basel)
December 2024
School of Computer and Software Engineering, Xihua University, Chengdu 610039, China.
Monocular depth estimation is a central problem in computer vision and robot vision, aiming at obtaining the depth information of a scene from a single image. In some extreme environments such as dynamics or drastic lighting changes, monocular depth estimation methods based on conventional cameras often perform poorly. Event cameras are able to capture brightness changes asynchronously but are not able to acquire color and absolute brightness information.
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