50 citations · 50 across the 3 of their papers we have counts for
3 papers
Comprehensive and Comparative Analysis between Transfer Learning and Custom Built VGG and CNN-SVM Models for Wildfire Detection
Aditya V. Jonnalagadda, Hashim A. Hashim, Andrew Harris
Contemporary Artificial Intelligence (AI) and Machine Learning (ML) research places a significant emphasis on transfer learning, showcasing its transformative potential in enhancin…
SegNet: A Segmented Deep Learning based Convolutional Neural Network Approach for Drones Wildfire Detection
Aditya V. Jonnalagadda, Hashim A. Hashim
This research addresses the pressing challenge of enhancing processing times and detection capabilities in Unmanned Aerial Vehicle (UAV)/drone imagery for global wildfire detection…
Robust Vision-Based Cheat Detection in Competitive Gaming
Aditya Jonnalagadda, Iuri Frosio, Seth Schneider +2
Game publishers and anti-cheat companies have been unsuccessful in blocking cheating in online gaming. We propose a novel, vision-based approach that captures the final state of th…