The importance of resource awareness in artificial intelligence for healthcare
Artificial intelligence and machine learning (AI/ML) models have been adopted in a wide
range of healthcare applications, from medical image computing and analysis to continuous …
range of healthcare applications, from medical image computing and analysis to continuous …
[HTML][HTML] Application of machine learning initiatives and intelligent perspectives for CO2 emissions reduction in construction
L Farahzadi, M Kioumarsi - Journal of Cleaner Production, 2023 - Elsevier
The construction sector is one of the main contributors to carbon dioxide (CO 2) emission
and causes of global warming. CO 2 mitigation solutions are vital. New technologies can …
and causes of global warming. CO 2 mitigation solutions are vital. New technologies can …
Performance and cost of fuel cells for off-road heavy-duty vehicles
RK Ahluwalia, X Wang, AG Star… - International journal of …, 2022 - Elsevier
Replacing hydrocarbon-powered off-road vehicles with hydrogen fuel cell-powered off-road
vehicles can reduce carbon dioxide and criteria pollutant emissions in the agriculture …
vehicles can reduce carbon dioxide and criteria pollutant emissions in the agriculture …
Taxonomy of uncertainty in environmental life cycle assessment of infrastructure projects
Environmental life cycle assessment (LCA) is increasingly being used to evaluate
infrastructure products and to inform their funding, design and construction. As such …
infrastructure products and to inform their funding, design and construction. As such …
[HTML][HTML] Review of factors affecting earthworks greenhouse gas emissions and fuel use
Research on greenhouse gas (GHG) emissions in the building sector has concentrated on
the use phase of buildings, and more recently embodied emissions from construction …
the use phase of buildings, and more recently embodied emissions from construction …
[HTML][HTML] Estimating on-site emissions during ready mixed concrete (RMC) delivery: A methodology
OI Olanrewaju, DJ Edwards, N Chileshe - Case Studies in Construction …, 2020 - Elsevier
Sustainability represents a critical challenge in the construction industry and many
approaches have been developed to reduce the environmental impact of on-site …
approaches have been developed to reduce the environmental impact of on-site …
[HTML][HTML] Predictive and prescriptive analytics in transportation geotechnics: Three case studies
Transportation infrastructure is of paramount importance for any country. The construction,
management and maintenance of this infrastructure is a complex task that requires a …
management and maintenance of this infrastructure is a complex task that requires a …
Developing a data-driven hydraulic excavator fuel consumption prediction system based on deep learning
H Song, G Li, X Li, X Xiong, Q Qin… - Advanced Engineering …, 2023 - Elsevier
With the aggravation of the global energy crisis, fuel consumption has become a key
indicator for excavator manufacturers and policymakers. However, traditional experimental …
indicator for excavator manufacturers and policymakers. However, traditional experimental …
ANN for assessment of energy consumption of 4 kW PV modules over a year considering the impacts of temperature and irradiance
Solar energy is considered the greatest source of renewable energy. In this paper, a case
study was performed for a single-axis solar tracking model to analyze the performance of the …
study was performed for a single-axis solar tracking model to analyze the performance of the …
Assessing energy consumption and carbon dioxide emissions of off-highway trucks in earthwork operations: An artificial neural network model
Methods capable of predicting the energy use and CO 2 emissions of off-highway trucks,
especially in the initial planning phase, are rare. This study proposed an artificial neural …
especially in the initial planning phase, are rare. This study proposed an artificial neural …