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 41–60 of 740 papers
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…
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…
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…
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…
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…
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…
Tobias Ströher
This cumulative dissertation investigates how digital MRV (Measuring, Reporting, and Verification) can transform GHG emissions management within and across organizations, drawing on AI, data spaces, digital identities, and distributed ledge…
「European Green Strategic Development Committee, 「European Green Strategic Development Committee
Reports iterative development of a carbon removal system to V8.0. Fully rewrites reaction database, kinetics, byproduct prediction, spectral/imaging detection, risk assessment, and strategy learning; adds new modules for atmospheric diffusi…
Reza Kiani Mavi, Majid Semiari, Seyed Ashkan Hosseini Shekarabi +4
This study develops an integrated optimization framework for designing a sustainable three-echelon food supply chain (suppliers, manufacturer, retailers), minimizing cost and carbon emissions while maximizing certified green output. Governm…
Haya R. Hasan, Khaled Salah, Ahmad Mayyas +4
This paper proposes a decentralized blockchain-based digital passport for EV batteries using composable NFTs, ensuring traceability and tamper-proof records across the supply chain. It evaluates four cathode chemistries using ten sustainabi…
Xinyue Hao, Emrah Demir
This study identifies triggers and inhibitors of AI adoption in supply chains using a PRISMA systematic review and thematic analysis under the ESG framework. Environmental triggers include waste and GHG reduction; social triggers include pr…
Afia Saiara Akhi, Mustakim Jahan, Shamima Shammay +1
This systematic review synthesizes recent research on AI-driven optimization for sustainable project and supply chain management, covering predictive analytics, machine learning, digital twins, and multi-objective optimization. It identifie…
Prathaban Durai, Jagannath Nalavade
Proposes a data monitoring framework for aerospace Scope 3 emissions using big data analytics, supporting batch and real-time inputs. Enables airlines to track emissions, set targets, and develop reduction strategies, providing insights for…
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