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 501–520 of 1414 papers
Zixin Ma, Daliang Xu, Bobo Yang +6
Applies machine learning to synergistically optimize carbon emissions and contaminant removal in wastewater treatment plants. Proposes a control method that balances process efficiency and GHG reduction, contributing to carbon neutrality.
Yang Wang, Wenhao Chen, Mengyi Di +3
Proposes a blockchain-enabled game-theoretic carbon trading mechanism for shipping enterprises, combining a Stackelberg game between regulator and firms with a bidding game solved via no-regret learning. Simulations show reduced emissions a…
Lintang Kurniawati, Nur Kholis, Katarina Yunita Riti +1
This study uses machine learning (Random Forest, XGBoost) to analyze relationships among ESG accounting, data analytics capability, and sustainable value creation. XGBoost achieved highest accuracy (R²=0.87), showing ESG accounting influenc…
Zhao H, Song A, Jin Y +1
This paper proposes a multimodal deep learning framework integrating sky cloud images and numerical sequences to improve ultra-short-term solar irradiance forecasting. A state-aware adaptive fusion mechanism dynamically integrates visual we…
Rouzbeh Haghighi, Ali Hassan, Sina Mohammadi +2
This study models AI data-center load growth in a three-level Stackelberg-Bayesian game among regulator, ISO, and investors. It quantifies how carbon taxes and subsidies for renewables and second-life batteries reshape investment mix, emiss…
Chuanzhu Sun, Weiguang Zhang, Leixiang Peng +6
IRPVS is the first public dataset providing pixel-level instance segmentation masks for process-specific industrial soiling on rooftop PV systems. It includes 8,012 UAV images from an industrial park in China, annotated with three contamina…
Song C.
This paper proposes a material tracking-based soft sensor for real-time greenhouse gas emission monitoring in process industries. By leveraging AI techniques, it estimates emissions without relying on traditional hardware sensors, enabling …
Sukanta Sarkar Prankrishna Debnath
This paper provides an overview of AI applications in climate control and sustainable development, covering energy optimization, climate modeling, resource management, and smart urban infrastructure. It highlights AI's role in renewable ene…
Abdelrehim Awad, Bshair Alharthi, Hiyam Abdulrahim +5
This study proposes an MCDA framework to holistically assess AI-driven data centers in the GCC, comparing environmental impacts with dispersed AI sustainability benefits across sectors. Under business-as-usual, emissions rise substantially …
AHMAD, HARDAN
This book comprehensively explores how AI technologies (ML, NLP, RPA, generative AI) fundamentally transform accounting functions including financial reporting, auditing, taxation, and decision-making. It demonstrates that strategic integra…
Huang, Bo, Yan, Yan, Lu, Jianan +1
This paper proposes TASR, a trustworthy LLM-based framework for TCFD-aligned sustainability report analysis. It integrates LLM-based scoring, benchmarking against third-party ESG ratings, and predictive modeling. Experiments on 100 U.S. oil…
Syed Quaid Ali Shah, Walid Cheffi, Muhammad Nurul Houqe +1
This study examines how corporate governance affects ESG disclosure in Saudi listed banks, with fintech adoption as a mediating channel. Using panel data from 2015-2024, it finds that stronger governance positively influences overall ESG di…
Durga Prasad Samontaray, Randheer Kokku, Najeeb Muhammad Nasir +1
This study examines the relationship between corporate FinTech disclosure and ESG reporting among Saudi non-financial firms (2021-2024) using textual analysis. It finds a positive association, especially with environmental disclosure, sugge…
Priya Ranjan
This study proposes a Green Banking 5.0 framework integrating AI analytics, ESG evaluation, climate-risk assessment, and carbon-conscious lending for sustainable banking in India. Using survey data from 120 customers and secondary sources, …
Poojary, Jyothi, Pathan, Afsha, Duste, Thaireem
This conceptual study explores how AI (ML, predictive analytics, NLP) can support banks in ESG risk assessment, identifying green investment opportunities, and ensuring compliance with sustainability frameworks. AI-enhanced credit scoring i…
Kingsley Imandojemu, Samson Alika, Romanus Osabohien +4
This study analyzes the impact of AI patent activity and climate finance on inclusive green growth in five major African carbon-emitting economies (South Africa, Egypt, Algeria, Nigeria, Morocco) from 2010 to 2024. Using Bayesian fixed-effe…
R N, R RS, D Sk +3
This paper proposes an AI-driven nanostructured electrocatalyst optimization framework (AINEOF) for efficient green hydrogen production. By combining Bayesian optimization with deep neural networks, it optimizes catalyst composition and mor…
C Zhao
This paper proposes a carbon management optimization method using blockchain to enhance transparency and traceability of Scope 3 emissions, focusing on marginalized large-scale operators. It ensures tamper-proof data and improves reliabilit…
Wang K.H.
This paper analyzes the dynamic mutual relationship between AI technology and the green finance market in China, examining whether AI acts as a driver or barrier to green finance development. Using dynamic models, it reveals the interaction…
Cheryl O. Tayo
This bibliometric study analyzes global development of intelligent technologies for blue carbon ecosystem monitoring, using 7,054 Scopus publications (1971-2026) with Bibliometrix and VOSviewer. It reveals accelerated growth post-2010, them…
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