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Machine learning for sustainable development and applications of biomass and biomass-derived carbonaceous materials in water and agricultural systems: A review
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 …
systems. As an emerging tool, Machine learning (ML) has been applied to BDM systems to …
Models for decarbonization in the chemical industry
Various technologies and strategies have been proposed to decarbonize the chemical
industry. Assessing the decarbonization, environmental, and economic implications of these …
industry. Assessing the decarbonization, environmental, and economic implications of these …
Digital technologies and eco-innovation. Evidence of the twin transition from Italian firms
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 …
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
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 …
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
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 …
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
Sustainable development and digital transformation profoundly re-shape industrial societies
but have been studied largely independently. In light of pressing global environmental and …
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
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 …
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 …
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 …
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 …
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
Rapid advancements in artificial intelligence (AI) are driving transformative changes in many
areas, with significant environmental implications. Yet, environmental assessments for …
areas, with significant environmental implications. Yet, environmental assessments for …