2 code implementations • IEEE Transactions on Industrial Informatics 2022 • Hamdi Altaheri, Ghulam Muhammad, and Mansour Alsulaiman
In this paper, we propose an attention-based temporal convolutional network (ATCNet) for EEG-based motor imagery classification.
Ranked #1 on EEG 4 classes on BCI Competition IV 2a
no code implementations • MDPI Sensors 2022 • Muneer Al-Hammadi, Mohamed A. Bencherif, Mansour Alsulaiman, Ghulam Muhammad, Mohamed Amine Mekhtiche, Wadood Abdul, Yousef A. Alohali, Tareq S. Alrayes, Hassan Mathkour, Mohammed Faisal, Mohammed Algabri, Hamdi Altaheri, Taha Alfakihm, Hamid Ghaleb
The presented architecture consists of a few separable 3DGCN layers, which are enhanced by a spatial attention mechanism.
Ranked #3 on Sign Language Recognition on LSA64
no code implementations • 12 Apr 2022 • Md. Milon Islam, Sheikh Nooruddin, Fakhri Karray, Ghulam Muhammad
In this paper, the most common and popular IoT device capabilities, architectures, and protocols are demonstrated in brief to provide a clear overview of the IoT technology to the researchers in this area.
no code implementations • 2 Feb 2022 • Md. Milon Islam, Sheikh Nooruddin, Fakhri Karray, Ghulam Muhammad
Human Activity Recognition (HAR) plays a significant role in the everyday life of people because of its ability to learn extensive high-level information about human activity from wearable or stationary devices.
no code implementations • 5 Mar 2021 • Md Mohaimenuzzaman, SM Monzurur Rahman, Musaed Alhussein, Ghulam Muhammad, Khondaker Abdullah Al Mamun
This paper proposes a model to transform the water transport system into an intelligent system based on IoT.