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 301–320 of 10986 papers
K. Bansode
This paper discusses the potential of Quantum Intelligence (Quantum AI)—a combination of quantum computing and artificial intelligence—to enhance supply chain sustainability. It addresses complex problems like production scheduling, invento…
Hogyeong Seong, D. Kang, Jaejun Yoon +1
The semiconductor industry faces soaring energy consumption, necessitating efficiency improvements in manufacturing. This paper compares the reliability of conventional reflow soldering and IPL (Intense Pulsed Light) soldering for BGA packa…
Shrouk Gharib, K. Schmitt, Osama Moselhi
This study reviews the role of digital platforms (BIM, IoT, CV, blockchain, material passports) in enabling circular economy principles in modular construction. It finds potential for lifecycle data integration and reuse, but most applicati…
S. Kong
This study examines how digital transformation in Korean smart agriculture organizations enhances governance transparency and reduces corruption risks. Using AI, IoT, and blockchain, data-driven decision-making and tamper-proof traceability…
S. Hosseini
This paper applies Commonist Value Theory to argue that corporate sustainability programs in agri-food systems structurally fail to deliver transformation. It distinguishes True Value (life-supporting) from Fetish Value (capital-accumulatio…
I. Mutambik
This study proposes an integrated blockchain-IoT-ML framework for sustainable vaccine cold chain management. It uses the Informer model for demand forecasting and BERT for stakeholder trust sentiment analysis, achieving an F1-score of 0.697…
Khanh Huy Nguyen, M. Tran, V. Ho
This review integrates 547 peer-reviewed articles (2007-2025) on sustainable consumption and CSR using co-citation, bibliographic coupling, keyword co-occurrence, and co-authorship analyses. It identifies eight knowledge domains, including …
Ya-Chin Wang, Renyong Hou, Lu Xiang
This study develops a tripartite evolutionary game model to analyze the strategic interactions among government, enterprises, and consumers in achieving digital-green synergy in e-commerce. It examines how platform transparency mechanisms l…
Tingting Li, Ziming Zhao, Zhaoxuan Li +2
This paper proposes a method for routing LLM queries in web services that minimizes carbon footprint while ensuring fairness. It contributes to reducing the environmental impact of AI services and promoting sustainability.
R. S P.
This paper proposes CarbonChain, a decentralized carbon emission monitoring system combining IoT sensing and blockchain verification. Sensor data is validated and stored on blockchain via smart contracts, ensuring tamper-resistance and tran…
Y. Alzoubi, A. Topcu, E. Elbasi
This study provides the first systematic evaluation of privacy risks in carbon footprint tools across five categories: individual calculators, corporate platforms, infrastructure tools, IoT/AI/blockchain systems, and research tools. A novel…
Furkan Yilgan, Duygu Biyikli, M. Sanità +4
This study quantifies vegetation loss and trace gas emissions from the July 2025 Çeşme wildfire using Sentinel-2 and Sentinel-5P satellite data. It assesses post-fire vegetation decline via NDVI and estimates emissions of CO and NO2, highli…
Yingmei Jiang, Jinjin Mou, Xin Yang +1
This paper models a two-echelon fresh e-commerce supply chain (supplier-platform) with blockchain technology (BT) for multi-dimensional disclosure of quality, low-carbon, and environmental attributes. Under decentralized/integrated decision…
明辉 李
This study proposes a digital twin-driven framework for real-time perception and dynamic optimization of carbon footprints in universities, integrating IoT and energy management systems. It develops a reinforcement learning-based optimizati…
Jun-Hye Baek, Jae Min Lee, Dong‐Seong Kim
This paper proposes a trust framework for certifying individual carbon reduction activities using AI and blockchain. It integrates automated image analysis to validate eco-friendly actions and stores verification results on a blockchain for…
R. Thendral, M. Abinanthida
CarbonSense360 integrates AI and blockchain for end-to-end carbon footprint monitoring, using OCR/NLP for automated data capture, AI for emission forecasting and personalized recommendations, and blockchain for tamper-proof validation. Gami…
Guanqiuyue Chen, Edmund Loi, Ka Ip Chan
This study examines the impact of China's carbon emission trading pilot policy on corporate digital transformation using a multi-period DID approach. Analyzing data from 2009-2020, the authors find that market-based environmental regulation…
Yong Xu, Donglei Tao, Yen-Jou Chen +3
PCBS is a framework enabling privacy-preserving carbon trading in AI-empowered IoT environments. By combining blockchain and secure multi-party computation, it achieves confidentiality of emission data while maintaining transaction transpar…
M. Aulia Rachman, Shanty Oktvilia, Dwi Rahmayani
This study examines the effect of financial inclusion on carbon emissions in ASEAN-6 countries using panel data from 2013-2019. It finds that the usability aspect of financial inclusion (domestic credit) positively correlates with emissions…
Sezai Tunca, Zinnet Karakaş Kelten, Yavuz Selim Balcıoğlu
This paper proposes a framework leveraging blockchain-enabled transparency and business analytics to optimize carbon footprint reduction in supply chains for high-emission industries. It provides methods for visualizing emissions across the…
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