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A systematic review and evaluation of synthetic simulated data generation strategies for deep learning applications in construction
The integration of deep learning (DL) into construction applications holds substantial
potential for enhancing construction automation and intelligence. However, successful …
potential for enhancing construction automation and intelligence. However, successful …
Fast prediction of car driving direction velocity field based on convolutional neural network with data of flow simulation nodes after feature enhancement
S Shen, T Han, J Pang - Advanced Engineering Informatics, 2025 - Elsevier
The analysis of the drag coefficient of the car is a crucial step during the entire car design
process, which is typically conducted through wind tunnel testing or fluid simulation with fine …
process, which is typically conducted through wind tunnel testing or fluid simulation with fine …
Continuous sign language recognition based on cross-resolution knowledge distillation
Q Zhu, J Li, F Yuan, Q Gan - Arabian Journal for Science and Engineering, 2024 - Springer
The goal of continuous sign language recognition (CSLR) research is to apply CSLR
models as a communication tool in real life, and the real-time requirement of the models is …
models as a communication tool in real life, and the real-time requirement of the models is …
A Hybrid Framework for Predicting Crash Severity in Construction Work Zones Using Knowledge Distillation and Conditional GANs
Construction work zone crashes represent a critical area of concern within the realm of traffic
safety, posing unique challenges for both road users and transportation authorities …
safety, posing unique challenges for both road users and transportation authorities …
The human-centric framework integrating knowledge distillation architecture with fine-tuning mechanism for equipment health monitoring
JF Dang, TL Chen, HY Huang - Advanced Engineering Informatics, 2025 - Elsevier
Human-centricity serves as the cornerstone of the evolution of manufacturing into Industry
5.0. Accordingly, modern manufacturing prioritizes both the well-being of human workers …
5.0. Accordingly, modern manufacturing prioritizes both the well-being of human workers …
A Low-Resolution Video Action Recognition Approach Based on Multi-Scale Reconstruction and Multi-Modal Fusion
H Zheng, Y Zhao, B Zhang, G Shang… - IEEE Transactions …, 2024 - ieeexplore.ieee.org
The challenge of low-resolution video action recognition task lies in recovering and
extracting feature representations that can effectively capture action characteristics with …
extracting feature representations that can effectively capture action characteristics with …
Faster-slow network fused with enhanced fine-grained features for action recognition
X Wu, J Zhu, L Yang - Journal of Visual Communication and Image …, 2024 - Elsevier
Two-stream methods, which separate human actions and backgrounds into temporal and
spatial streams visually, have shown promising results in action recognition datasets …
spatial streams visually, have shown promising results in action recognition datasets …