3 papers
cs.LG2026
Bit-Accurate FPGA Evaluation of Learned Feature Gating in a Fixed-Point Fourier-Feature Automatic Modulation Classifier
Gawthaman Senthilvelan, Luthira Abeykoon
Learned feature reweighting can improve automatic modulation classification (AMC) in software, but the same operation introduces additional arithmetic and latency when implemented…
cs.CV2025
CVChess: A Deep Learning Framework for Converting Chessboard Images to Forsyth-Edwards Notation
Luthira Abeykoon, Ved Patel, Gawthaman Senthilvelan +1
Chess has experienced a large increase in viewership since the pandemic, driven largely by the accessibility of online learning platforms. However, no equivalent assistance exists…
cs.LG2025
AutoGrid AI: Deep Reinforcement Learning Framework for Autonomous Microgrid Management
Kenny Guo, Nicholas Eckhert, Krish Chhajer +2
We present a deep reinforcement learning-based framework for autonomous microgrid management. tailored for remote communities. Using deep reinforcement learning and time-series for…