8 papers
Spatial Support Matters: Geometry-Aware Graph Fusion for Rainfall Field Reconstruction
Low Jun Yu, Niramay Kachhadiya, Herath Mudiyanselage Viraj Vidura Herath +2
Fine-scale rainfall reconstruction is critical for urban flood modeling, but real rainfall sensing systems observe the field through incompatible spatial supports: gauges measure p…
DUALFloodGNN: Physics-informed Graph Neural Network for Operational Flood Modeling
Carlo Malapad Acosta, Herath Mudiyanselage Viraj Vidura Herath, Jia Yu Lim +3
Flood models inform strategic disaster management by simulating the spatiotemporal hydrodynamics of flooding. While physics-based numerical flood models are accurate, their substan…
Beyond Deepfake vs Real: Facial Deepfake Detection in the Open-Set Paradigm
Nadarasar Bahavan, Sachith Seneviratne, Sanjay Saha +3
Facial forgery methods such as deepfakes can be misused for identity manipulation and spreading misinformation. They have evolved alongside advancements in generative AI, leading t…
Flood-LDM: Generalizable Latent Diffusion Models for rapid and accurate zero-shot High-Resolution Flood Mapping
Sun Han Neo, Sachith Seneviratne, Herath Mudiyanselage Viraj Vidura Herath +3
Flood prediction is critical for emergency planning and response to mitigate human and economic losses. Traditional physics-based hydrodynamic models generate high-resolution flood…
SEZ-HARN: Self-Explainable Zero-shot Human Activity Recognition Network
Devin Y. De Silva, Sandareka Wickramanayake, Dulani Meedeniya +1
Human Activity Recognition (HAR), which uses data from Inertial Measurement Unit (IMU) sensors, has many practical applications in healthcare and assisted living environments. Howe…
Analysis of Student-LLM Interaction in a Software Engineering Project
Agrawal Naman, Ridwan Shariffdeen, Guanlin Wang +2
Large Language Models (LLMs) are becoming increasingly competent across various domains, educators are showing a growing interest in integrating these LLMs into the learning proces…