Machine learning for sustainable development and applications of biomass and biomass-derived carbonaceous materials in water and agricultural systems: A review

HSH Wang, Y Yao - Resources, Conservation and Recycling, 2023 - Elsevier
Biomass-derived materials (BDM) have broad applications in water and agricultural
systems. As an emerging tool, Machine learning (ML) has been applied to BDM systems to …

Models for decarbonization in the chemical industry

Y Yao, K Lan, TE Graedel… - Annual Review of …, 2024 - annualreviews.org
Various technologies and strategies have been proposed to decarbonize the chemical
industry. Assessing the decarbonization, environmental, and economic implications of these …

Digital technologies and eco-innovation. Evidence of the twin transition from Italian firms

S Montresor, A Vezzani - Industry and Innovation, 2023 - Taylor & Francis
This paper investigates how the twin transition (digital & green) unfolds within firms by
relating investments in digital technologies to the propensity of eco-innovating production …

[HTML][HTML] How tech companies advance sustainability through artificial intelligence: Develo** and evaluating an AI x Sustainability strategy framework

F Zechiel, M Blaurock, E Weber, M Büttgen… - Industrial Marketing …, 2024 - Elsevier
Sustainability is at the top of the agenda of most tech companies. Specifically, tech
companies increasingly utilize artificial intelligence (AI) to meet their sustainability goals …

ChatGPT-powered chatbot as a green evangelist: an innovative path toward sustainable consumerism in E-commerce

MW Sadiq, MW Akhtar, C Huo… - The Service Industries …, 2024 - Taylor & Francis
The purpose of the current article is to propose the construction of ChatGPT as a green
evangelist (CGGE) and to develop and validate the CGGE scale using two independent …

Co-design of digital transformation and sustainable development strategies-What socio-metabolic and industrial ecology research can contribute

S Pauliuk, M Koslowski, K Madhu, S Schulte… - Journal of Cleaner …, 2022 - Elsevier
Sustainable development and digital transformation profoundly re-shape industrial societies
but have been studied largely independently. In light of pressing global environmental and …

Emerging interaction of artificial intelligence with basic materials and oil & gas companies: A comparative look at the Islamic vs. conventional markets

U Shahzad, MG Asl, M Panait, T Sarker, SA Apostu - Resources Policy, 2023 - Elsevier
As part of the artificial intelligence (AI) industry there are many companies engaged in
providing hardware that enhances the use of artificial intelligence technology for big data …

Exploring artificial intelligence and urban pollution emissions:" Speed bump" or" accelerator" for sustainable development?

Q Luo, P Feng - Journal of Cleaner Production, 2024 - Elsevier
Within the framework of the overarching green development objective guiding the
transformation and progress of urban green and low-carbon initiatives, the technological …

Carbon dioxide-focused greenhouse gas emissions from petrochemical plants and associated industries: Critical overview, recent advances and future prospects of …

Y Yan, YX Pang, X Luo, Q Lin, CH Pang… - Process Safety and …, 2024 - Elsevier
Petrochemical production, a resource-and energy-intensive industry, is a major cause of
greenhouse gas emissions. As part of the low-carbon transition to net-zero emissions …

Machine‐learning‐based demand forecasting against food waste: Life cycle environmental impacts and benefits of a bakery case study

N Hübner, J Caspers, VC Coroamă… - Journal of Industrial …, 2024 - Wiley Online Library
Rapid advancements in artificial intelligence (AI) are driving transformative changes in many
areas, with significant environmental implications. Yet, environmental assessments for …