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.
Showing 25001–25020 of 36299 papers
Lee H, Jung J, Roh J
This study proposes a Residual U-Net deep learning model to correct significant wave height forecasts from WAVEWATCH III, validated with real-ship fuel consumption data. The corrected forecasts show improved accuracy up to 7-8 days ahead, e…
Serrano T, Günther M, Bjørn A +1
This paper proposes a novel methodology for setting corporate climate targets based on the consumer needs that companies support. It defines a climate sustainability score for consumer products using absolute targets tied to their functions…
Geis, Julian
This dataset provides optimized PyPSA network files (.nc format) for Germany's pathway to climate neutrality, covering three investment periods (2025, 2035, 2045) and four flexibility scenarios (LowFlex, LowBattery, Base, HighFlex). It incl…
Eduarda M. Figueiredo, Eduardo A. Haddad, Blanka Šimundić
This paper uses a regional and sectoral general equilibrium model to analyze the economic impacts of carbon pricing on Croatia's tourism sector. It focuses on the effects of a carbon tax on tourism-related industries and regional disparitie…
Yanqin Jiang
Using panel data from 26 Chinese provinces (2013-2022), this study constructs a three-dimensional evaluation framework (cleanliness, security, efficiency) for energy transition and examines its relationship with carbon emissions. Energy tra…
Hanno Blankenstein
This paper presents a practical approach combining AI-driven visual analytics with automated drone-based inspection workflows for scalable emissions reduction and energy transformation in energy production. It overcomes limitations of tradi…
Krystle Harmon
This paper presents a Lower-Carbon IT Framework for energy enterprises to embed emissions-aware decisions into IT architecture, workload placement, and data lifecycle management. A case study provides 24-month guidance for reducing digital-…
Chloé Wüst-Galley, Jens Leifeld
This paper systematically reviews global data on paddy rice cultivation on drained peatlands as a greenhouse gas mitigation option. It evaluates the trade-off between CO2 emissions from peat drainage and CH4 emissions from rice paddies, sug…
Ünal Kızıl, Cafer Türkmen, Yakup Çıkılı +2
This paper presents a low-cost, AI-enhanced electronic nose system for quantifying ammonia (NH₃) volatilization from fertilized soils, which contributes to indirect nitrous oxide (N₂O) emissions. Using machine learning, Gradient Boosting ac…
Zia U. Ahmed, Tek B. Sapkota, Md. Khaled Hossain +3
This study applies AutoML and explainable AI (XAI) to rice production systems in Bangladesh, identifying key yield predictors and estimating greenhouse gas emissions. Machine learning models reveal relationships between weather, soil data, …
Daniel O. Omokpariola
This paper analyzes the spatiotemporal and sectoral dynamics of air pollutants and greenhouse gas emissions in Nigeria from 1970 to 2023, providing long-term emission data and a foundation for mitigation strategies.
Disha Gadre
This case study from the US Appalachian Basin demonstrates how automating GHG calculations for natural gas operations improves accuracy, transparency, and efficiency. Operational activity data and measurement inputs are mapped directly into…
Binru Song, Suyan Li, Xiangyang Sun +4
This study investigates greenhouse gas and ammonia emissions from the co-composting of green waste and food waste. It analyzes the impact of composting conditions and feedstock composition on emission patterns, exploring potential GHG mitig…
Arup Majumdar, Mayuri Srivastava, Subba Lakshmi Prabha +1
This case study examines Infosys, an Indian IT firm, after achieving carbon neutrality in 2020, as it faces the strategic challenge of transitioning its internal sustainability successes into an external ESG consulting offering. It highligh…
Daniel I. Yahya, Adekanmi M. Adeyinka, Onyedika V. Mbelu +2
This paper examines integration pathways for carbon capture technology in waste-to-energy (WtE) plants. It discusses technical challenges, potential opportunities to achieve net-negative emission systems, and the role of CCUS in the waste m…
Bruno Fontaine, Julien LEFEVRE, Antoine Teixeira +1
This study quantifies the mitigation potential of sufficiency measures (lifestyle changes reducing demand) in France's net-zero transition, comparing them with efficiency and electrification. Using an input-output model, it finds sufficienc…
Yu Zhang, Siti Norliyana Harun, Marlia M. Hanafiah
This study models sector-specific carbon emission trajectories for Beijing's industrial, building, and transportation sectors using a coupled STIRPAT-LEAP framework. It estimates elasticity heterogeneity and marginal abatement cost curves, …
Simon Molyneux
This oral presentation argues that Australia's energy security and decarbonisation goals require reducing subsurface uncertainty in hydrocarbon exploration, CCS, and storage projects, which depends on strategic new seismic data acquisition.…
Kunfeng Zhu
This presentation analyzes the dual mandate of gas production for energy security and CCS-enabled decarbonisation under Australia's Future Gas Strategy. It examines CCS integration plans, cost of avoided emissions, and levelized abatement c…
Stephen Stokes
This presentation examines direct injection options for CO2, eliminating intermediate storage and long-distance pipelines. It proposes using floating vessels to inject directly into wells, analyzing cost savings via cost-benefit analysis. T…
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