3 results match your criteria: "Changsha Institute of Technology[Affiliation]"
Improvement of flipped classroom teaching in colleges and universities based on virtual reality assisted by deep learning.
Sci Rep
January 2025
School of Electronic and Information Engineering, Changsha Institute of Technology, Changsha, 410200, China.
In order to solve the limitations of flipped classroom in personalized teaching and interactive effect improvement, this paper designs a new model of flipped classroom in colleges and universities based on Virtual Reality (VR) by combining the algorithm of Contrastive Language-Image Pre-Training (CLIP). Through cross-modal data fusion, the model deeply combines students' operation behavior with teaching content, and improves teaching effect through intelligent feedback mechanism. The test data shows that the similarity between video and image modes reaches 0.
View Article and Find Full Text PDFSmall target detection in UAV view based on improved YOLOv8 algorithm.
Sci Rep
January 2025
School of Electronic Information Engineering, Lang Fang Normal University, Langfang, 065000, Hebei, China.
Article Synopsis
- The main challenges of detecting targets with UAVs include small image sizes, dense distributions of targets, and uneven category representation, along with hardware constraints affecting model complexity and accuracy.
- A new small target detection method using an improved YOLOv8 algorithm is introduced, enhancing feature fusion with a bi-directional feature pyramid network (BiFPN), and replacing the C2f module with a C3Ghost module to lower computational demands.
- Additional enhancements like a channel attention mechanism and an improved MPDIoU loss function boost the model's ability to learn from difficult samples, yielding significant improvements in mean accuracy, precision, and recall on the VisDrone dataset.
High-Efficiency Solar Transformation of Sugars via a Heterogenous Gallium(III) Catalyst.
Angew Chem Int Ed Engl
September 2024
School of Chemical and Biomolecular Engineering, University of Sydney, Darlington, NSW 2008, Australia.
Extremely limited research exploring the photocatalytic potential of main group metals, such as aluminum, gallium, and tin, has been undertaken due to their weak light harvesting properties. This study reports the efficient transformation of sugars to 5-hydroxymethylfurfural (HMF) with high yield employing an original heterogeneous photocatalyst comprising a gallium(III) complex immobilized on an alumina support. Under visible light irradiation, the reaction rate of HMF formation is ~143 times higher than the equivalent thermal reaction performed in the absence of light.
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