22 citations · 36 across the 4 of their papers we have counts for
4 papers
PD-MORL: Preference-Driven Multi-Objective Reinforcement Learning Algorithm
Toygun Basaklar, Suat Gumussoy, Umit Y. Ogras
Multi-objective reinforcement learning (MORL) approaches have emerged to tackle many real-world problems with multiple conflicting objectives by maximizing a joint objective functi…
tinyMAN: Lightweight Energy Manager using Reinforcement Learning for Energy Harvesting Wearable IoT Devices
Toygun Basaklar, Yigit Tuncel, Umit Y. Ogras
Advances in low-power electronics and machine learning techniques lead to many novel wearable IoT devices. These devices have limited battery capacity and computational power. Thus…
Hypervector Design for Efficient Hyperdimensional Computing on Edge Devices
Toygun Basaklar, Yigit Tuncel, Shruti Yadav Narayana +2
Hyperdimensional computing (HDC) has emerged as a new light-weight learning algorithm with smaller computation and energy requirements compared to conventional techniques. In HDC,…
MGait: Model-Based Gait Analysis Using Wearable Bend and Inertial Sensors
Sizhe An, Yigit Tuncel, Toygun Basaklar +3
Movement disorders, such as Parkinson's disease, affect more than 10 million people worldwide. Gait analysis is a critical step in the diagnosis and rehabilitation of these disorde…