7 citations · 16 across the 6 of their papers we have counts for
10 papers
Hybrid Indoor Localization via Reinforcement Learning-based Information Fusion
Mohammad Salimibeni, Arash Mohammadi
The paper is motivated by the importance of the Smart Cities (SC) concept for future management of global urbanization. Among all Internet of Things (IoT)-based communication techn…
JUNO: Jump-Start Reinforcement Learning-based Node Selection for UWB Indoor Localization
Zohreh Hajiakhondi-Meybodi, Ming Hou, Arash Mohammadi
Ultra-Wideband (UWB) is one of the key technologies empowering the Internet of Thing (IoT) concept to perform reliable, energy-efficient, and highly accurate monitoring, screening,…
AKF-SR: Adaptive Kalman Filtering-based Successor Representation
Parvin Malekzadeh, Mohammad Salimibeni, Ming Hou +2
Recent studies in neuroscience suggest that Successor Representation (SR)-based models provide adaptation to changes in the goal locations or reward function faster than model-free…
TraHGR: Transformer for Hand Gesture Recognition via ElectroMyography
Soheil Zabihi, Elahe Rahimian, Amir Asif +1
Deep learning-based Hand Gesture Recognition (HGR) via surface Electromyogram (sEMG) signals has recently shown significant potential for development of advanced myoelectric-contro…
DF-SSmVEP: Dual Frequency Aggregated Steady-State Motion Visual Evoked Potential Design with Bifold Canonical Correlation Analysis
Raika Karimi, Arash Mohammadi, Amir Asif +1
Recent advancements in Electroencephalography (EEG) sensor technologies and signal processing algorithms have paved the way for further evolution of Brain Computer Interfaces (BCI)…
Online Dynamic Window (ODW) Assisted Two-stage LSTM Frameworks for Indoor Localization
Mohammadamin Atashi, Mohammad Salimibeni, Arash Mohammadi
Internet of Things (IoT)-based indoor localization has gained significant popularity recently to satisfy the ever-increasing requirements of indoor Location-based Services (LBS). I…