From the 1 of 22 linked papers with an AI index.
22 papers
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…
A Synchronized Multi-IMU Wearable System for Tracking of Joint-Angles in Sports Motion Analysis With Reference-Based Validation and Dynamic Task Characterization
Thevindu Samarasekera, Praveen Rathnayaka, Sachintha Adhikari +7
The paper introduces a low‑cost, synchronized multi‑IMU wearable platform and processing pipeline for accurately tracking joint angles during high‑dynamic sports movements, validat…
A Controlled Visual-Backbone Benchmark for Multimodal Short-Term Solar Irradiance Forecasting
Oshadha Samarakoon, Dushan Herath, Ishara Ranmandala +4
Sky-image irradiance studies often compare forecasting systems in which the image encoder, temporal model, fusion block, target definition, and training recipe all change together.…
Structure over Depth: A Single-Block Spatio-Temporal Transformer for Multi-Entity Reasoning
Narthana Sivalingam, Santhirarajah Sivasthigan, Buddhi Wijenayake +3
Modeling multi-entity temporal data requires capturing dependencies across entities, time, and their interactions. Transformer-based approaches perform well but often rely on deep…
MambaRefine-CD: MambaVision with Region-Boundary Temporal Refinement
Dineth Perera, Thaariq Firdous, Oshadha Samarakoon +3
Binary change detection in remote sensing requires both complete changed-region localization and accurate boundary delineation. We present MambaRefine-CD, a region-boundary tempora…
ScaLe-INR: Scale and Learn Implicit Neural Representations
Buwaneka Epakanda, Athulya Ratnayake, Pandula Thennakoon +4
Implicit Neural Representations (INRs) parameterized by multilayer perceptrons excel at modeling continuous signals. However, a key challenge persists as INRs fundamentally suffer…