Skip to main content

Research Repository

Advanced Search

All Outputs (7)

Bridging the Language Gap in FND Care: A Comparative Analysis of Neurologists and Psychologists (2024)
Presentation / Conference
Mashuk, M. S., Shumit, S., Yang, L., Daniela, D., Matthew, S., Lana, L., …Mohan Raj, R. (2024, July). Bridging the Language Gap in FND Care: A Comparative Analysis of Neurologists and Psychologists. Poster presented at 46th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, Disney's Coronado Springs, Orlando, Florida, USA

This study compares the communication in Functional Neurological Disorder (FND) care between neurologists and psychologists through VADER sentiment analysis and LDA topic modeling. It reveals a stark contrast in language use: neurologists prefer clin... Read More about Bridging the Language Gap in FND Care: A Comparative Analysis of Neurologists and Psychologists.

Comparing different approaches of agent-based occupancy modelling for predicting realistic electricity consumption in office buildings (2024)
Journal Article
Mashuk, M. S., Pinchin, J., Siebers, P., & Moore, T. (2024). Comparing different approaches of agent-based occupancy modelling for predicting realistic electricity consumption in office buildings. Journal of Building Engineering, 84, 108420. https://doi.org/10.1016/j.jobe.2023.108420

Having a good grasp on modelling the dynamics of occupants for estimating electricity consumption in office buildings is a vital asset for realistic predictions. Nowadays, agent-based models are widely used for this purpose. Previous approaches to mo... Read More about Comparing different approaches of agent-based occupancy modelling for predicting realistic electricity consumption in office buildings.

Harnessing NLP for enhanced extraction of functional neurological disorder (FND) terminologies from clinical reports (2023)
Presentation / Conference
Mashuk, M. S., Kamilla, K., Yang, L., Daniela, D., Ashley, W., Shumit, S., …Matthew, S. (2023, June). Harnessing NLP for enhanced extraction of functional neurological disorder (FND) terminologies from clinical reports. Poster presented at IDSAI Advances in Data Science and AI Conference 2023, University of Manchester

Functional Neurological Disorder (FND) is a complex condition that presents significant diagnostic and management challenges for healthcare professionals. This study investigates the variability in FND terminology used across different professional g... Read More about Harnessing NLP for enhanced extraction of functional neurological disorder (FND) terminologies from clinical reports.

Demonstrating the potential of indoor positioning for monitoring building occupancy through ecologically valid trials (2021)
Journal Article
Mashuk, M., Pinchin, J., Siebers, P., & Moore, T. (2021). Demonstrating the potential of indoor positioning for monitoring building occupancy through ecologically valid trials. Journal of Location Based Services, 15(4), 305-327. https://doi.org/10.1080/17489725.2021.1893394

Assessing building performance related to energy consumption in post-design-occupancy stage requires knowledge of building occupancy pattern. These occupancy data can potentially be collected from trials and used to improve the prediction capability... Read More about Demonstrating the potential of indoor positioning for monitoring building occupancy through ecologically valid trials.

A smart phone based multi-floor indoor positioning system for occupancy detection (2018)
Conference Proceeding
Mashuk, M., Pinchin, J., Siebers, P., & Moore, T. (2018). A smart phone based multi-floor indoor positioning system for occupancy detection. In 2018 IEEE/ION Position, Location and Navigation Symposium (PLANS)

At present there is significant research interest in simulating building environment with artificial agents and predicting energy usage and other building performance related factors that helps to promote understanding of more sustainable buildings.... Read More about A smart phone based multi-floor indoor positioning system for occupancy detection.

Augmented and virtual reality based approaches in minimally invasive surgery training (2013)
Conference Proceeding
Rahman, M. A., Mahmud, P., & Mashuk, M. (2013). Augmented and virtual reality based approaches in minimally invasive surgery training. In 2013 International Conference on Informatics, Electronics and Vision (ICIEV). https://doi.org/10.1109/ICIEV.2013.6572714

Continuing development in surgical techniques has elevated the level of sophistication in surgery. In order to reduce trauma to healthy tissue of the patient body, scientists are continuously trying different technologies in surgery. Minimally Invasi... Read More about Augmented and virtual reality based approaches in minimally invasive surgery training.

Automatic detection of Bangla characters in Bangladeshi car registration plates (2011)
Conference Proceeding
Mashuk, M., Majid, M., Basher, N., & Rahman, T. (2011). Automatic detection of Bangla characters in Bangladeshi car registration plates. In 2010 Second International Conference on Computational Intelligence, Modelling and Simulation. https://doi.org/10.1109/CIMSiM.2010.73

This paper presents a technique that intends to recognize bangla characters from Bangladeshi automobile registration plates. Even though the recognition of characters from registration plates are nothing new but the conditions and circumstances surro... Read More about Automatic detection of Bangla characters in Bangladeshi car registration plates.