Machine learning to predict the production of bio-oil, biogas, and biochar by pyrolysis of biomass: a review
K Khandelwal, S Nanda, AK Dalai - Environmental Chemistry Letters, 2024 - Springer
The world energy consumption has increased by+ 195% since 1970 with more than 80% of
the energy mix originating from fossil fuels, thus leading to pollution and global warming …
the energy mix originating from fossil fuels, thus leading to pollution and global warming …
[HTML][HTML] BIM adoption in sustainability, energy modelling and implementing using ISO 19650: A review
The construction industry is adopting a ground-breaking invention called Building
Information Modeling (BIM) to virtually manage and plan projects throughout the building's …
Information Modeling (BIM) to virtually manage and plan projects throughout the building's …
[HTML][HTML] Bim-based energy analysis and optimization using insight 360 (case study)
Building information modeling (BIM) is a modern data information platform and management
tool that promotes the development of green buildings. In Pakistan, the building sector …
tool that promotes the development of green buildings. In Pakistan, the building sector …
Modeling the fluctuations of groundwater level by employing ensemble deep learning techniques
This study proposes two techniques: Deep Learning (DL) and Ensemble Deep Learning
(EDL) to predict groundwater level (GWL) for five wells in Malaysia. Two scenarios were …
(EDL) to predict groundwater level (GWL) for five wells in Malaysia. Two scenarios were …
[HTML][HTML] Modeling groundwater potential using novel GIS-based machine-learning ensemble techniques
Study region The present study has been carried out in the Tabriz River basin (5397 km 2) in
north-western Iran. Elevations vary from 1274 to 3678 m above sea level, and slope angles …
north-western Iran. Elevations vary from 1274 to 3678 m above sea level, and slope angles …
Federated learning for privacy preservation of healthcare data from smartphone-based side-channel attacks
Federated learning (FL) has recently emerged as a striking framework for allowing machine
and deep learning models with thousands of participants to have distributed training to …
and deep learning models with thousands of participants to have distributed training to …
[HTML][HTML] BIM-based architectural analysis and optimization for construction 4.0 concept (a comparison)
The growing need for electricity has put Pakistan's burgeoning economy in peril. The notion
of “Construction 4.0 ″is considered in this study since it enables the greatest utilization of …
of “Construction 4.0 ″is considered in this study since it enables the greatest utilization of …
Deep learning versus gradient boosting machine for pan evaporation prediction
In the present study, two innovative techniques namely, Deep Learning (DL) and Gradient
boosting Machine (GBM) models are developed based on a maximum air temperature …
boosting Machine (GBM) models are developed based on a maximum air temperature …
A comparison of machine learning models for suspended sediment load classification
The suspended sediment load (SSL) is one of the major hydrological processes affecting the
sustainability of river planning and management. Moreover, sediments have a significant …
sustainability of river planning and management. Moreover, sediments have a significant …
Novel machine learning algorithms to predict the groundwater vulnerability index to nitrate pollution at two levels of modeling
The accurate map** and assessment of groundwater vulnerability index are crucial for the
preservation of groundwater resources from the possible contamination. In this research …
preservation of groundwater resources from the possible contamination. In this research …