Mehshan Ahmed Khan

According to our database, Mehshan Ahmed Khan authored at least 7 papers between 2020 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Application of artificial intelligence in cognitive load analysis using functional near-infrared spectroscopy: A systematic review.

Mehshan Ahmed Khan, Houshyar Asadi, Li Zhang, Mohammad Reza Chalak Qazani, Sam Oladazimi, Chu Kiong Loo, Chee Peng Lim, Saeid Nahavandi

Expert Syst. Appl., 2024

Predicting cognitive load in immersive driving scenarios with a hybrid CNN-RNN model.

Mehshan Ahmed Khan, Houshyar Asadi, Mohammad Reza Chalak Qazani, Adetokunbo Arogbonlo, Saeid Nahavandi, Chee Peng Lim

CoRR, 2024

Functional near-infrared spectroscopy (fNIRS) and Eye tracking for Cognitive Load classification in a Driving Simulator Using Deep Learning.

Mehshan Ahmed Khan, Houshyar Asadi, Mohammad Reza Chalak Qazani, Chee Peng Lim, Saied Nahavandi

CoRR, 2024

Enhancing Cognitive Workload Classification Using Integrated LSTM Layers and CNNs for fNIRS Data Analysis.

Mehshan Ahmed Khan, Houshyar Asadi, Mohammad Reza Chalak Qazani, Adetokunbo Arogbonlo, Siamak Pedrammehr, Adnan Anwar, Asim Bhatti, Saeid Nahavandi, Chee Peng Lim

CoRR, 2024

2023

Measuring Cognitive Load: Leveraging fNIRS and Machine Learning for Classification of Workload Levels.

Mehshan Ahmed Khan, Houshyar Asadi, Thuong N. Hoang, Chee Peng Lim, Saeid Nahavandi

Proceedings of the Neural Information Processing - 30th International Conference, 2023

2021

A novel CNN-LSTM-based approach to predict urban expansion.

Wadii Boulila, Hamza Ghandorh, Mehshan Ahmed Khan, Fawad Ahmed, Jawad Ahmad

Ecol. Informatics, 2021

2020

Gastrointestinal diseases segmentation and classification based on duo-deep architectures.

Mehshan Ahmed Khan, Muhammad Attique Khan, Fawad Ahmed, Mamta Mittal, Lalit Mohan Goyal, D. Jude Hemanth, Suresh Chandra Satapathy

Pattern Recognit. Lett., 2020