4 citations · 6 across the 16 of their papers we have counts for
5 papers · 1 filter
Non-Destructive Quantification of Urea Adulteration in Bovine Milk Using Transmittance Multispectral Imaging
Sharukshan Niranjan, Iresha Ranaweera, Tharindu Chandrarathne +5
Adulteration of bovine milk using urea remains a major food quality and health concern, motivating the development of rapid and quantitative screening tools. Conventional approache…
Mitigating Long-Tail Bias via Prompt-Controlled Diffusion Augmentation
Buddhi Wijenayake, Nichula Wasalathilake, Roshan Godaliyadda +3
Long-tailed class imbalance remains a fundamental obstacle in semantic segmentation of high-resolution remote-sensing imagery, where dominant classes shape learned representations…
COSMO-INR: Complex Sinusoidal Modulation for Implicit Neural Representations
Pandula Thennakoon, Avishka Ranasinghe, Mario De Silva +4
Implicit neural representations (INRs) are a powerful paradigm for modeling data, offering a continuous alternative to discrete signal representations. Their ability to compactly e…
Hands Off: A Handshake Interaction Detection and Localization Model for COVID-19 Threat Control
A. S. Jameel Hassan, Suren Sritharan, Gihan Jayatilaka +4
The COVID-19 outbreak has affected millions of people across the globe and is continuing to spread at a drastic scale. Out of the numerous steps taken to control the spread of the…
Convolutional Autoencoder for Blind Hyperspectral Image Unmixing
Yasiru Ranasinghe, Sanjaya Herath, Kavinga Weerasooriya +4
In the remote sensing context spectral unmixing is a technique to decompose a mixed pixel into two fundamental representatives: endmembers and abundances. In this paper, a novel ar…