This page provides an English interface to the gxceed GX paper corpus. The corpus aggregates papers from 13 open 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 81–100 of 988 papers
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…
Zhen Wang
This paper proposes a collaborative decision system for low-carbon navigation of multiple ships using federated learning (FL). By training models without sharing raw data, it reduces fuel consumption and CO2 emissions while preserving data …
Supreetha HD, Punith Cariappa, Suresha B
This review systematically analyzes how Industry 4.0 technologies (IoT, AI, big data, etc.) integrated with Circular Economy principles enhance Triple Bottom Line performance in industrial firms. It finds significant improvements in environ…
Anelia Kurteva, Carlo van der Valk, Kathleen McMahon +2
To advance circular economy in ICT, the RePlanIT ontology supports building Digital Product Passports (DPPs) for laptops and data servers, integrating device, component, material, and CE knowledge. Validated in a real-world case aiding sust…
Nada Sahlab, Hossein Rimaz, Prerna Juhlin +2
This study explores the use of Asset Administration Shell (AAS) and knowledge graphs to incorporate sustainability criteria in early product design. An EPD submodel is represented in RDF, enabling direct comparison of environmental indicato…
Paula Marielle Ababao, Ian B. Benitez, Gabriel Avelino Sampedro
This study proposes a blockchain-integrated circular economy framework to enhance lifecycle tracking and emissions reporting for maritime ICT and energy materials. It combines Digital Product Passports, IoT telemetry, and smart contracts to…
Jochen Deuse, David Wagstyl, Victor Hernandez Moreno +3
This paper explores how green digital twins contribute to sustainable industrial production across the product life cycle. It highlights opportunities and challenges in revealing emissions and constructing green digital twins for various pu…
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