Suivre
Mobyen Uddin Ahmed
Mobyen Uddin Ahmed
Professor in Artificial Intelligence/Computer Science at Mälardalen University (MDH)
Adresse e-mail validée de mdu.se - Page d'accueil
Titre
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Année
Data mining for wearable sensors in health monitoring systems: a review of recent trends and challenges
H Banaee, MU Ahmed, A Loutfi
Sensors 13 (12), 17472-17500, 2013
5772013
Case-based reasoning systems in the health sciences: a survey of recent trends and developments
S Begum, MU Ahmed, P Funk, N Xiong, M Folke
IEEE Transactions on Systems, Man, and Cybernetics, Part C (Applications and …, 2010
3072010
A systematic review of explainable artificial intelligence in terms of different application domains and tasks
MR Islam, MU Ahmed, S Barua, S Begum
Applied Sciences 12 (3), 1353, 2022
2972022
Artificial Intelligence, Machine Learning and Reasoning in Health Informatics—Case Studies
MU Ahmed, S Barua, S Begum
Signal Processing Techniques for Computational Health Informatics, 261-291, 2021
2092021
A case‐based decision support system for individual stress diagnosis using fuzzy similarity matching
S Begum, MU Ahmed, P Funk, N Xiong, B Von Schéele
Computational Intelligence 25 (3), 180-195, 2009
1592009
Automatic driver sleepiness detection using EEG, EOG and contextual information
S Barua, MU Ahmed, C Ahlström, S Begum
Expert systems with applications 115, 121-135, 2019
1502019
A survey on artificial intelligence (ai) and explainable ai in air traffic management: Current trends and development with future research trajectory
A Degas, MR Islam, C Hurter, S Barua, H Rahman, M Poudel, D Ruscio, ...
Applied Sciences 12 (3), 1295, 2022
1062022
Real time heart rate monitoring from facial RGB color video using webcam
H Rahman, MU Ahmed, S Begum, P Funk
The 29th Annual Workshop of the Swedish Artificial Intelligence Society …, 2016
1022016
A multi-module case-based biofeedback system for stress treatment
MU Ahmed, S Begum, P Funk, N Xiong, B von Scheele
Artificial Intelligence in Medicine 51 (2), 107-115, 2011
852011
An overview on the internet of things for health monitoring systems
MU Ahmed, M Björkman, A Čaušević, H Fotouhi, M Lindén
Internet of Things. IoT Infrastructures: Second International Summit, IoT …, 2016
722016
Physiological Sensor Signals Classification for Healthcare using Sensor Data Fusion and Case-Based Reasoning
Shahina Begum, Shaibal Barua, Mobyen Uddin Ahmed
Sensor 14 (7), 11770-11785, 2014
702014
Case-based reasoning for diagnosis of stress using enhanced cosine and fuzzy similarity
MU Ahmend, S Begum, P Funk, N Xiong, B Von Schéele
Transactions on Case-Based Reasoning for Multimedia Data 1 (1), 3-19, 2008
702008
Using calibration and fuzzification of cases for improved diagnosis and treatment of stress
S Begum, MU Ahmed, P Funk, N Xiong, B Von Schéele
8th European Workshop on Case-based Reasoning in the Health Sciences, Turkey …, 2006
612006
A machine learning approach to classify pedestrians’ events based on IMU and GPS
MU Ahmed, S Brickman, A Dengg, N Fasth, M Mihajlovic, J Norman
International Journal of Artificial Intelligence 17 (2), 154-167, 2019
572019
A Systematic Literature Review on Multimodal Machine Learning: Applications, Challenges, Gaps and Future Directions
A Barua, MU Ahmed, S Begum
Journal of IEEE Access (IEEE-Access), 2023
552023
A review on machine learning algorithms in handling EEG artifacts
S Barua, S Begum
The Swedish AI Society (SAIS) Workshop SAIS, 14, 22-23 May 2014, Stockholm …, 2014
462014
Non-contact-based driver’s cognitive load classification using physiological and vehicular parameters
H Rahman, MU Ahmed, S Barua, S Begum
Biomedical Signal Processing and Control 55, 101634, 2020
452020
Classification of Physiological Signals for Wheel Loader Operators Using Multi-Scale Entropy Analysis and Case-Based Reasoning
Shahina Begum, Shaibal Barua, Reno Filla, Mobyen
Expert Systems with Applications 41 (2), 295–305, 2013
45*2013
Non-contact physiological parameters extraction using facial video considering illumination, motion, movement and vibration
H Rahman, MU Ahmed, S Begum
IEEE Transactions on Biomedical Engineering 67 (1), 88-98, 2019
442019
A novel mutual information based feature set for drivers’ mental workload evaluation using machine learning
MR Islam, S Barua, MU Ahmed, S Begum, P Aricò, G Borghini, ...
Brain Sciences 10 (8), 551, 2020
402020
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