Chemical Engineering | Environmental Science | Machine Learning Prediction of the proximate analysis parameters of refuse-derived fuel based on deep learning approach. October 4, 2022
Artificial Intelligence | Industrial Engineering | Manufacturing Real-Time Fault Detection and Condition Monitoring for Industrial Autonomous Transfer Vehicles Utilizing Edge Artificial Intelligence. May 20, 2022
Chemical Engineering | Environmental Science Implementation of an early warning system with hyperspectral imaging combined with deep learning model for chlorine in refuse derived fuels. February 24, 2022
Other Identification of wheat kernels by fusion of RGB, SWIR, VNIR samples over feature and image domain. April 12, 2019