2023 RID Awards
PROJECT: Developing an Energy Efficient Deep Learning Model for Onsite Detection of Forest Fire and its Severity PI: Arghya Das, Assistant Professor, UAF Starting from saving lives to saving our environment and climate from toxic chemicals and greenhouse gasses, quick and accurate detection of forest fires is of paramount need. It is especially important to save […]