The optimized U-Net provided lower validation loss compared to existing models. The findings reveal the potential of computer vision deep learning models in the transportation industry for efficient ...

Professor Gao Zhi's research team from the School of Remote Sensing and Information Engineering at Wuhan University in Hubei ...

The deep learning system distinguishes IIH, NAION, and healthy eyes with 93.6% accuracy, aiding in resource-limited settings.

Technologies enabling safe visual recognition in low-visibility environments are gaining increasing attention across sectors ...

Five cutting-edge advances in concrete technology that are shaping a more sustainable and efficient future in construction.