Computer Vision | Environmental Science | Solid Waste Management Optimally leveraging depth features to enhance segmentation of recyclables from cluttered construction and demolition waste streams. February 17, 2024
Computer Vision | Robotics Real-time construction demolition waste detection using state-of-the-art deep learning methods; single – Stage vs two-stage detectors. June 3, 2023
Deep Learning | Environmental Science | Waste Management Deep convolutional neural networks for construction and demolition waste classification: VGGNet structures, cyclical learning rate, and knowledge transfer. June 19, 2022