A review of machine learning applications in life cycle assessment studies

XX Romeiko, X Zhang, Y Pang, F Gao, M Xu… - Science of The Total …, 2023 - Elsevier
Abstract Life Cycle Assessment (LCA) is a foundational method for quantitative assessment
of sustainability. Increasing data availability and rapid development of machine learning …

Toward artificial intelligence and machine learning-enabled frameworks for improved predictions of lifecycle environmental impacts of functional materials and devices

T Ibn-Mohammed, KB Mustapha, M Abdulkareem… - MRS …, 2023 - Springer
The application of functional materials and devices (FM&Ds) underpins numerous products
and services, facilitating improved quality of life, but also constitutes a huge environmental …

[HTML][HTML] A comparative of modeling techniques and life cycle assessment for prediction of output energy, economic profit, and global warming potential for wheat farms

H Ghasemi-Mobtaker, A Kaab, S Rafiee… - Energy Reports, 2022 - Elsevier
Uncertainty about the energy use efficiency, lack of knowledge about economic outcomes,
and its environmental consequences have always take risks in changing cultivation patterns …

Combined life cycle assessment and artificial intelligence for prediction of output energy and environmental impacts of sugarcane production

A Kaab, M Sharifi, H Mobli, A Nabavi-Pelesaraei… - Science of the Total …, 2019 - Elsevier
This study aims to employ two artificial intelligence (AI) methods, namely, artificial neural
networks (ANNs) and adaptive neuro fuzzy inference system (ANFIS) model, for predicting …

Prospects of solar systems in production chain of sunflower oil using cold press method with concentrating energy and life cycle assessment

A Nabavi-Pelesaraei, H Azadi, S Van Passel, Z Saber… - Energy, 2021 - Elsevier
The aim of this study is determination of exergoenvironmental efficiency for using solar
technologies in sunflower oil production in Iran. Accordingly, the applications of photovoltaic …

Machine learning models of exergoenvironmental damages and emissions social cost for mushroom production

A Nabavi-Pelesaraei, H Ghasemi-Mobtaker, M Salehi… - Agronomy, 2023 - mdpi.com
Applying conventional methods for prediction of environmental impacts in agricultural
production is not actually applicable because they usually ignore other aspects such as …

Integration of artificial intelligence methods and life cycle assessment to predict energy output and environmental impacts of paddy production

A Nabavi-Pelesaraei, S Rafiee, SS Mohtasebi… - Science of the total …, 2018 - Elsevier
Prediction of agricultural energy output and environmental impacts play important role in
energy management and conservation of environment as it can help us to evaluate …

Comprehensive model of energy, environmental impacts and economic in rice milling factories by coupling adaptive neuro-fuzzy inference system and life cycle …

A Nabavi-Pelesaraei, S Rafiee, SS Mohtasebi… - Journal of cleaner …, 2019 - Elsevier
The increasing energy demand, limited fossil fuel resources and effects of climate change,
lead to problems with regard to sustainability of production in food industry. Hence, this …

Use of artificial neural network and adaptive neuro-fuzzy inference system for prediction of biogas production from spearmint essential oil wastewater treatment in up …

B Heydari, EA Sharghi, S Rafiee, SS Mohtasebi - Fuel, 2021 - Elsevier
Two artificial intelligence (AI)-based models, namely feed-forward backpropagation artificial
neural network (ANN) and multi-layer adaptive neuro-fuzzy inference system (ANFIS), were …

Environmental impacts of biodiesel production cycle from farm to manufactory: an application of sustainable systems engineering

A Motevali, N Hooshmandzadeh, E Fayyazi, M Valipour… - Atmosphere, 2023 - mdpi.com
One of the key challenges in using fossil fuels is the environmental impacts of these energy
sources, and to reduce these destructive effects, the use of renewable energy sources …