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 321–340 of 355 papers
Evans S.
This paper examines the social housing stock in Islington, London, and its pathway to net zero. It analyzes current energy efficiency and renewable energy potential, offering policy recommendations for decarbonizing social housing.
Paraskevas I.
This paper discusses the critical role of IoT in enabling the UK's built environment transition to net zero. IoT technologies enable monitoring and control of energy use, contributing to building efficiency and emission reductions.
Haroon M.
This review examines the role of waste heat recovery in the Pakistan cement industry for achieving net-zero emissions by mid-century, highlighting challenges and opportunities for decarbonization in hard-to-abate sectors.
Landsberg D.R.
This paper discusses criteria for determining whether a building operates at net zero energy or zero carbon, highlighting the importance of energy efficiency and carbon reduction in building operations.
Hosseinzadeh-Bandbafha H.
This study applies data envelopment analysis to evaluate energy efficiency and greenhouse gas emission reduction in fattening farms. It measures relative efficiency and identifies improvement potential for inefficient farms, contributing to…
Somantri A.
This paper provides a systematic review of greenhouse gas (GHG) emission reduction architectures in computer science. It surveys existing research on efficient algorithms and green computing methods, offering insights for future work in sus…
Xuanhan Fan, Rui Ding, Haojie Liu +5
This paper proposes an agent-driven ant colony optimization tuning method for energy-efficient 3D pipe routing. Implemented in a web-based environment, it aims to reduce energy consumption in industrial piping design.
K. Ramu, M. Karthiga, R. Santhoshkumar +5
This paper proposes energy-efficient IoT-blockchain systems for urban resilience in disaster mitigation and recovery. While details are unavailable, the focus on energy efficiency links to GX indirectly.
Samuel Aires Master Lazaro, Xiaofeng Li, Vanessa Fathia Baba
This study develops a scalable framework to evaluate expanded polystyrene (EPS) insulation for residential buildings in Mozambique. A 95mm roof insulation reduces annual cooling energy by 30.1% and CO2 emissions by 13.52%, with a discounted…
Abellani Yulitasari, Popi Puspitasari
This study evaluates carbon neutrality in a residential area in Indonesia by analyzing carbon emissions, vegetation sequestration, and occupant behavior. Based on 49 households, operational emissions from electricity dominate, ranging from …
カーボンニュートラル社会実現に貢献するレーザアディティブマニュファクチャリング
(著者不明)
This paper discusses how laser additive manufacturing (3D printing) can contribute to a carbon-neutral society by improving material efficiency and reducing energy consumption compared to traditional manufacturing processes.
Ayooluwa Timothy Okunlola, O. A. Ibitoye
This thematic review examines Interlocking Stabilized Soil Blocks (ISSB) as a sustainable building material for mixed-use buildings in Lagos, Nigeria. Analyzing 15 studies (2022–2025), it finds ISSB offers adequate compressive strength, imp…
Fanyu Meng, Yanteng Li, Ziliang Zhao +4
This study proposes a Markov Chain Divergence-Convergence Domain (MC-DCD) method for generating representative driving cycles with high accuracy and speed. Validated using real-world data from Qingdao, it achieved an average statistical dev…
E. Mahesh, Kethiri Pradeep Reddy, Shaik Sohail Thanveer +1
This study applies machine learning models (Logistic Regression, XGBoost, Extra Trees) and a hybrid Neuro-Tree Fusion (NTF) model integrating Graph Polynomial Neural Network and Deep Neural Decision Tree to classify carbon emission reductio…
J. Singh
This review examines hybrid nanofluids as advanced heat-transfer media to enhance energy efficiency in low-carbon chemical processes. By combining two or more nanoparticles, they offer synergistic improvements in thermal conductivity and st…
Marina Yesica Recalde
This paper reviews the 'energy efficiency gap' in the industrial sector, analyzing barriers that prevent cost-effective efficiency improvements. It argues that supply-side renewable energy expansion alone is insufficient, making demand-side…
Jinyu Wang, Rongqiang Xu, Shanshan Ye
This study measures China's interprovincial industrial green efficiency index from 2005-2022 using the super-efficiency SBM model and analyzes driving factors with the geographical detector method. Industrial governance has the largest driv…
Hongji Zhou, Rong Wang
This study measures energy efficiency (EE) using a super-efficiency SBM model and examines the impact of AI and green finance (GF) on EE via a Tobit model. Regional analysis in China shows AI significantly improves EE nationally and in east…
S. Ida Evangeline
This chapter examines how to integrate environmental compliance into software projects, analyzing the impact of regulations like ISO 14001 and ESG disclosure requirements on project lifecycles. It presents practical tools such as carbon acc…
A. Singh, Revanth Kumar Bathina, S. Tijare
This study compares fuel economy (CO2 emissions) of passenger cars in India between laboratory tests and real driving emissions (RDE) tests for gasoline, diesel, and bi-fuel (CNG+gasoline) vehicles. Using a modified carbon balance method al…
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