With the widespread integration of high-penetration renewable energy, load volatility and spatio-temporal imbalances in power ...
Abstract: In this work, we present the design and implementation of an ultra-low latency Deep Reinforcement Learning (DRL) FPGA based accelerator for addressing hard real-time Mixed Integer ...
Abstract: Fractional programming (FP) is a branch of mathematical optimization that deals with the optimization of ratios. It is an invaluable tool for signal processing and machine learning, because ...
This guide on 50 DSA patterns helps you recognize common problem types and apply proven approaches to solve coding questions ...
Tessellations aren’t just eye-catching patterns—they can be used to crack complex mathematical problems. By repeatedly ...