11 citations · 11 across the 3 of their papers we have counts for
3 papers
Transfer Learning of RSSI to Improve Indoor Localisation Performance
Thanaphon Suwannaphong, Ryan McConville, Ian Craddock
With the growing demand for health monitoring systems, in-home localisation is essential for tracking patient conditions. The unique spatial characteristics of each house required…
Optimising TinyML with Quantization and Distillation of Transformer and Mamba Models for Indoor Localisation on Edge Devices
Thanaphon Suwannaphong, Ferdian Jovan, Ian Craddock +1
This paper proposes small and efficient machine learning models (TinyML) for resource-constrained edge devices, specifically for on-device indoor localisation. Typical approaches f…
Parasitic Egg Detection and Classification in Low-cost Microscopic Images using Transfer Learning
Thanaphon Suwannaphong, Sawaphob Chavana, Sahapol Tongsom +3
Intestinal parasitic infection leads to several morbidities to humans worldwide, especially in tropical countries. The traditional diagnosis usually relies on manual analysis from…