3 citations · 3 across the 11 of their papers we have counts for
11 papers
Spatial Heterogeneity-Aware Multi-Hazard Susceptibility and Risk Mapping at Regional Scale
Aswathi Mundayatt, Siddharth Anil, Hitanshu Seth +1
Floods and landslides often co-occur, but their relationships with environmental controls vary spatially. This study develops a spatial heterogeneity-aware framework for flood-land…
TVT-PAPD: Pathology-Aware Prototype Distillation for Self-Supervised Whole Slide Image Classification
Ramesh Naidu Laveti, Jaya Sreevalsan-Nair, T K Srikanth
Self-supervised learning (SSL) has emerged as an effective paradigm for learning transferable representations from large-scale unlabeled whole slide images (WSIs). However, existin…
Consensus Clustering of Free-Viewing Gaze Data: New Insights into Human-Information Interaction
Beryl Gnanaraj, Jaya Sreevalsan-Nair, Saqib Alam Ansari +1
Free-viewing gaze data provides a rich, task-free window into human visual attention. Conventional exploratory data analysis of the data provides user attention patterns through fi…
FL-MHSM: Spatially-adaptive Fusion and Ensemble Learning for Flood-Landslide Multi-Hazard Susceptibility Mapping at Regional Scale
Aswathi Mundayatt, Jaya Sreevalsan-Nair
Existing multi-hazard susceptibility mapping (MHSM) studies often rely on spatially uniform models, treat hazards independently, and provide limited representation of cross-hazard…
Fusion and Grouping Strategies in Deep Learning for Local Climate Zone Classification of Multimodal Remote Sensing Data
Ancymol Thomas, Jaya Sreevalsan-Nair
Local Climate Zones (LCZs) give a zoning map to study urban structures and land use and analyze the impact of urbanization on local climate. Multimodal remote sensing enables LCZ c…
CityAQVis: Integrated ML-Visualization Sandbox Tool for Pollutant Estimation in Urban Regions Using Multi-Source Data (Software Article)
Brij Bidhin Desai, Yukta Arvind Rajapur, Aswathi Mundayatt +1
Urban air pollution poses significant risks to public health, environmental sustainability, and policy planning. Effective air quality management requires predictive tools that can…