arXiv Machine Learning July 7, 2026 By Rahim Iqbal, Asfi Ahamed, Izzath Nisfer, Shazan Shaheed, Muhammadu Ilham, Nathali Athukorala, Madara Mendis, Nisansa de Silva, Sandareka Wickramanayake

Environmental Drivers of Respiratory Disease: A District Level Analysis

Read the original on arXiv Machine Learning →

arXiv:2607. 04416v1 Announce Type: new Abstract: Sri Lanka has experienced a decade of progressive forest degradation and rising atmospheric pollution, yet district-level respiratory admissions have paradoxically declined, pointing to the confounding role of healthcare access.

Machine-generated by The Flow from the publisher's headline and feed description — not written or checked by a human. The full article lives at arXiv Machine Learning.

arXiv Machine Learning

Jul 21

Interpretable Machine Learning for Air Pollution and Respiratory Health Prediction: A Socioeconomic Subgroup Analysis

arXiv:2607. 17024v1 Announce Type: new Abstract: Air pollution and climate-related stressors are increasingly important concerns for respiratory health, especially in settings with unequal environmental exposure and healthcare capacity.

By Maede Azani Hassan Abadi, Shouyi Wang

arXiv Machine Learning

Jul 2

How Environment and Urbanization Shape Bird Diversity in Sri Lanka

arXiv:2607. 00582v1 Announce Type: cross Abstract: This study presents a comprehensive analysis of bird diversity across Sri Lanka by integrating spatial, temporal, and environmental data.

By Dilusha Chandrasiri, Maneesha Herath, Yasith Hewarathna, Muditha Herath, Gishan Bandara, Madara Mendis, Nathali Athukorala, Nisansa de Silva, Sandareka Wickramanayake

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arXiv Machine Learning

Jun 30

Golden Hour Divide: Trauma Care Accessibility and Resource Vulnerability in Sri Lanka

arXiv:2606. 29889v1 Announce Type: new Abstract: Timely intensive care dictates survival, yet emergency infrastructure remains unevenly distributed across Sri Lanka.

By Sonath Kirindage, Vihanga Nimsara, Sakindu Rajapaksa, Kavyanga Hathurusinghe, Lahiru Dilshan, Subavarshana Arumugam, Nathali Athukorala, Sandareka Wickramanayake, Nisansa de Silva

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arXiv Machine Learning

Aug 11

Spatial Heterogeneity-Aware Multi-Hazard Susceptibility and Risk Mapping at Regional Scale

arXiv:2608. 08321v1 Announce Type: new Abstract: Floods and landslides often co-occur, but their relationships with environmental controls vary spatially.

By Aswathi Mundayatt, Siddharth Anil, Hitanshu Seth, Jaya Sreevalsan-Nair

arXiv Computer Vision

Sep 22

High-resolution Nitrogen Dioxide Maps Reveal Exposure Limit Breaches across Europe

arXiv:2609.24634v1 Announce Type: new Abstract: Nitrogen dioxide (NO2) is a common air pollutant, released into the atmosphere through the incomplete burning of fossil fuels, and associated with resp...

By Linus Scheibenreif, Konrad Schindler

arXiv AI

Jun 3

Tracking Urban Atmospheric Pollutants using Sentinel-5P Satellite Data

arXiv:2606. 02592v1 Announce Type: cross Abstract: Urban nitrogen dioxide ($NO_2$) is a key indicator of combustion-related air pollution and exhibits strong spatial and temporal variability in cities.

By Alice Gomez-Cantos, Henry O. Velesaca

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Interpretable Machine Learning for Air Pollution and Respiratory Health Prediction: A Socioeconomic Subgroup Analysis

How Environment and Urbanization Shape Bird Diversity in Sri Lanka

Golden Hour Divide: Trauma Care Accessibility and Resource Vulnerability in Sri Lanka

Spatial Heterogeneity-Aware Multi-Hazard Susceptibility and Risk Mapping at Regional Scale

High-resolution Nitrogen Dioxide Maps Reveal Exposure Limit Breaches across Europe

Tracking Urban Atmospheric Pollutants using Sentinel-5P Satellite Data