GX Research Hub · English

GX & Decarbonization Research

This page provides an English interface to the gxceed GX paper corpus. The corpus aggregates papers from 14 contributing scholarly metadata sources and uses AI-assisted classification to identify signals related to measurement, policy narratives, outcomes, implementation, industrial adoption, and verification.

The goal is not only to discover papers, but to observe how GX research is distributed across research substance, implementation narratives, external expectations, implementation substance, and judgment formation.

Summaries are AI-assisted. Always refer to the original paper for authoritative conclusions.

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Topic: #Climate Risk (clear)

Showing 81–100 of 324 papers

Peer-reviewedCNJournalSN Business & Economics2026#Climate RiskDOI

A PINN-inspired structure-regularized framework for climate and geopolitical risk in agricultural commodity markets: evidence from China

Yesser Drira, Souha Boutouria, Mouna Boujelbène

This paper proposes a structure-regularized framework inspired by physics-informed neural networks (PINN) to analyze the impact of climate and geopolitical risks on agricultural commodity markets in China. It applies AI methods to improve r…

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Peer-reviewedJournalScientific Reports2026#Climate RiskDOI

Harnessing geospatial and machine learning technologies to simulate ecosystem services and greenhouse gas emissions in a dynamic watershed system of Haramaya Lake, Ethiopia

Gemechis B. Mosisa, James Akuku, Abel Mwembe +5

This study simulates ecosystem services and greenhouse gas emissions in the Haramaya Lake watershed, Ethiopia, using geospatial and machine learning techniques. It assesses the impacts of land-use change on ecosystems and climate, offering …

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Peer-reviewedJournalJurnal Pengabdian Masyarakat Bhinneka2026#Climate RiskDOI

Pelatihan Mitigasi dan Kesiapsiagaan Masyarakat Terhadap Bencana Tanah Longsor Dengan Pendekatan Nature-Based Solutions di Desa Kembang Kuning

Sopiatul Rohmi, Hasrul Hadi, Muhammad Riswandi Hakim +3

This community service project in Kembang Kuning Village, Indonesia, addressed landslide risks through Nature-Based Solutions (NBS) training and tree planting. Post-training test scores improved from 80.71 to 87.50, and the reforestation ac…

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Peer-reviewed🌍 GlobalJournalZenodo (CERN European Organization for Nuclear Research)2026#Climate RiskDOI

Beyond Carbon: Integrating Physical Climate Risk Scoring into Zoning and Development Approval Processes for Urban Investment Resilience

Shuaibu H. Manga, Sani Inusa Milala, Abubakar Mohammed Garba

This conceptual paper addresses the gap in urban planning where zoning and development approvals focus on carbon mitigation rather than physical climate risk. It proposes a framework integrating climate risk scoring into regulatory decision…

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Peer-reviewedJournalarXiv.org2026#Climate RiskDOI

Deep Learning for Remote Sensing to Improve Flood Inundation Mapping

Yogesh Bhattarai, V. Chaudhary, Wai Lim Kim +1

This study applies a diffusion model for cloud removal in flood imagery, trained on Sentinel-2B scenes. It generates cloud-free images preserving hydrological consistency, improving water body continuity and spectral signatures for water de…

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Peer-reviewed🌍 GlobalJournalItalian National Conference on Sensors2026#Climate RiskDOI

Smart Geospatial Analytics for Maladaptation Hotspot Detection: Integrating Trajectory Classification, Random Forest, and SHAP

Nutchanat Buasri, P. Littidej, Benjamabhorn Pumhirunroj +2

This study analyzes population dynamics in flood-prone Thailand, finding that despite repeated flooding, some areas show late population growth (maladaptation). Using Random Forest and SHAP, flood frequency is the dominant predictor, with t…

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