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 201–220 of 1414 papers
Jason Chen
This study proposes an optimization framework to reduce greenhouse gas emissions in Hong Kong's logistics and transport network. It models 18 administrative districts as a dynamic topological graph and integrates real-time traffic, terrain,…
Pothin F
Using staggered difference-in-differences on SBTi and CDP data (2015-2023), this study finds that pledging firms expand their measurement boundary: within four years they report 2.5 more Scope 3 categories, lifting reported Scope 3 emission…
CINAR U
Proposes a false-alarm-controlled protocol to fairly compare gas indices and deep learning for early detection of coal spontaneous combustion. In simulation and field data from three mines, Graham's index fails to detect fires at false-alar…
J. Taborda, Cesar Enrique Polo Castro, Alexander Armando Bustamante +1
This paper proposes a cybernetic governance framework integrating blockchain, IoT, and LCA for trustworthy monitoring of renewable energy impacts. Implemented in Colombia's wind and solar projects, it achieved high performance and participa…
Fausania Hibatullah, Rico Dwi Firmansyah, D. Kusrini
This study proposes a portfolio optimization framework integrating FinBERT-based sentiment analysis and DBSCAN clustering for IDX ESG Leaders stocks. Empirical results show that sentiment-informed clustering improves risk-adjusted performan…
I. Ferdiyansyah, R. Masman
This study analyzes the relationship between Digital ESG Leadership (DEL) and ESG disclosure quality, strategic integration, and performance in eight Indonesian technology companies (39 firm-years, 2019-2024). Using dictionary-based scoring…
Fnu Aishwariya Kannan R. Uma, Nandini Jagannarayan
This review examines the latest literature on Green FinTech from an economic perspective. It discusses how digital technologies such as AI, blockchain, and big data contribute to environmental risk assessment, carbon market transparency, an…
Cheng Qian, Fan Yang, Yu-Zhou Jiang +1
This paper proposes a tri-layer hybrid blockchain architecture for automated carbon auditing in urban transit networks, combining MySQL, IPFS, and Hyperledger Fabric. A smart contract pipeline autonomously verifies hash consistency and emis…
Yu Hu, Xiaofang Chen, Xin Chen +1
This paper empirically analyzes the impact of digital transformation (DX) on corporate carbon emission reduction using panel data from Chinese A-share listed industrial enterprises from 2010-2021. It finds that production efficiency improve…
Sabeeh Ullah, Md. Shabbir Alam
This study empirically examines the interrelationship among FinTech, institutional quality, and sustainable finance (SFI) in G20 economies using panel data from 2004-2023. FinTech enhances SFI, but its impact is moderated by institutional q…
Lei Yu, Zhikai Li, Kai Huang +6
This study develops an LLM-agent-driven optimization framework for water-energy-carbon (WEC) nexus management in irrigation districts. It uses three sequential agents (task analysis, algorithm execution, result analysis) to automate parsing…
Gikonyo Ndugu
This paper develops and demonstrates a forensic assurance algorithm to verify transaction-level evidence for IFRS S1/S2 disclosures. It proposes an adjusted Herfindahl-Hirschman Index with a gender-parity baseline and a five-tier Data Quali…
Abed Saif Ahmed Alghawli, Ali Raza, Suzan Hassan Bakhit +2
This study proposes a Q-learning-based routing and fault-recovery framework for CCS monitoring WSNs, integrating energy awareness. Evaluated on a 50-node HIL testbed, it reduced latency by 53.6%, improved recovery time by 65.9%, achieved 99…
Man Luo, Yixuan Zhao
Bike-sharing is key for low-carbon urban mobility, but expansion faces cold-start prediction and equitable allocation challenges. FairGIN, a fairness-aware GNN, integrates expansion-simulated training, attention-based knowledge transfer, an…
Ren-Jie Wu, Hesong Jin, Boyang Liu +6
This paper proposes a generative AI approach to automate the mix design of low-carbon, high-ductility engineered cementitious composites (ECC). The AI optimizes material performance and carbon emissions, contributing to decarbonization in c…
Osama Omar
This study systematically reviews the role of AI in climate-resilient green buildings, identifying six key sustainability indicators: energy efficiency, renewable energy integration, carbon footprint reduction, water management, indoor envi…
Sornoza Parrales, Diego, Pincay Pilay, Mercedes Marcela, Castro Chilán, Dayana Michelle +1
This repository provides the analytical corpus and R replication script for a bibliometric review of AI for net-zero construction in the AEC industry. It includes 517 documents from Scopus and Web of Science, with thematic mapping and evolu…
Yuxuan Wu, Qianqian Wang, Qihan Zhang +6
This study develops a data-driven framework for sustainable design of rare-earth permanent magnets, using 346 experimental samples and MLP models to predict magnetic properties with high accuracy. SHAP analysis identifies Nd as key, and mul…
Yu Tian, Bangjun Wang
This study analyzes the integration of Green Electricity Certificates (GEC) and Carbon Emissions Trading (CET) in China using AI methods (BERTopic, cosine similarity, Bayesian ERGMs) on 1,137 policy documents. It finds rapid central discour…
Simona Fioretto, Elio Masciari, Enea Vincenzo Napolitano
This paper applies AI techniques to institutional reports from the public sector to extract and analyze ESG information. It demonstrates the potential and challenges of AI-driven ESG assessment, offering new perspectives on utilizing disclo…
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