Proximal Policy Optimization-Based Reinforcement Learning Approach for DC-DC Boost Converter Control: A Comparative Evaluation Against Traditional Control Techniques

no code implementations • 4 Oct 2023 • Utsab Saha, Shakib Shahria, A. B. M Harun-Ur Rashid

This article presents a proximal policy optimization (PPO) based reinforcement learning (RL) approach for DC-DC boost converter control, which is compared to traditional control methods.

reinforcement-learning Reinforcement Learning (RL)

Decoding Human Activities: Analyzing Wearable Accelerometer and Gyroscope Data for Activity Recognition

no code implementations • 3 Oct 2023 • Utsab Saha, Sawradip Saha, Tahmid Kabir, Shaikh Anowarul Fattah, Mohammad Saquib

In this paper, a stratified multi-structural approach based on a Residual network ensembled with Residual MobileNet is proposed, termed as FusionActNet.

Activity Recognition