Mark Tee Kit Tsun
Orcid: 0000-0002-4413-2000
According to our database1,
Mark Tee Kit Tsun
authored at least 16 papers
between 2016 and 2024.
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Bibliography
2024
Enhancing road safety with machine learning: Current advances and future directions in accident prediction using non-visual data.
Eng. Appl. Artif. Intell., 2024
2023
Segmentation-Based Angular Position Estimation Algorithm for Dynamic Path Planning by a Person-Following Robot.
IEEE Access, 2023
Proceedings of the 3rd International Conference on Human Machine Interaction, 2023
The Bigger Picture: Scene Understanding for Recognizing Accidents within Mixed-Traffic Scenario using Deep Learning.
Proceedings of the 13th IEEE International Conference on Control System, 2023
Proceedings of the 12th International Conference on Awareness Science and Technology, 2023
How Transferable are Herbarium-Field Features in Few-Shot Plant Identification with Triplet Loss?
Proceedings of the Asia Pacific Signal and Information Processing Association Annual Summit and Conference, 2023
Proceedings of the Asia Pacific Signal and Information Processing Association Annual Summit and Conference, 2023
2022
Increasing motivation for cancer treatment adherence in children through a mobile educational game: a pilot study.
EAI Endorsed Trans. Pervasive Health Technol., 2022
IEEE Access, 2022
Proceedings of the Smart Grid and Internet of Things - 6th EAI International Conference, 2022
Development of an Improved Occluded Person Re-Identification System Using Deep Learning.
Proceedings of the HPCCT 2022: 6th High Performance Computing and Cluster Technologies Conference, Fuzhou, China, July 8, 2022
Exploring Deep Learning in Road Traffic Accident Recognition for Roadside Sensing Technologies.
Proceedings of the Future Technologies Conference, 2022
2020
Int. J. Serious Games, 2020
A multimedia solution to motivate childhood cancer patients to keep up with cancer treatment.
Proceedings of the MMAsia 2020: ACM Multimedia Asia, 2020
2018
An Improved Indoor Robot Human-Following Navigation Model Using Depth Camera, Active IR Marker and Proximity Sensors Fusion.
Robotics, 2018
2016
Proposing a Sensor Fusion Technique Utilizing Depth and Ranging Sensors for Combined Human Following and Indoor Robot Navigation.
Proceedings of the Fifth International Conference on Network, Communication and Computing, 2016