Applying multivariate analysis and machine learning approaches to evaluating groundwater quality on the Kairouan Plain, Tunisia
SBH Salem, A Gaagai, I Ben Slimene, AB Moussa… - Water, 2023 - mdpi.com
In the Zeroud basin, a diverse array of methodologies were employed to assess, simulate,
and predict the quality of groundwater intended for irrigation. These methodologies included …
and predict the quality of groundwater intended for irrigation. These methodologies included …
Human-machine collaboration for feature selection and integration to improve congestive Heart failure risk prediction
The issue of harnessing machine learning (ML) algorithms for the prediction of adverse
medical events is important considering the prevalence of vast repositories of patient-level …
medical events is important considering the prevalence of vast repositories of patient-level …
Societal acceptance of urban air mobility based on the technology adoption framework
Urban air mobility (UAM) is regarded as a sustainable alternative for intercity and intracity
passenger transportation. The objective of this study is to identify the psychological and …
passenger transportation. The objective of this study is to identify the psychological and …
Using XGBoost Regression to Analyze the Importance of Input Features Applied to an Artificial Intelligence Model for the Biomass Gasification System
Recently, artificial intelligence models have been developed to simulate the biomass
gasification systems. The extant research models use different input features, such as …
gasification systems. The extant research models use different input features, such as …
Beyond concept: The viability of exclusive lanes for zero emission vehicles on expressways
In response to climate change issues, various measures have been implemented to
decarbonize transportation. One approach is to promote zero emission vehicles which can …
decarbonize transportation. One approach is to promote zero emission vehicles which can …
Development of machine learning modelling and dengue risk map**: a concept framework
Dengue fever (DF) has emerged as the world most common mosquito-borne diseases. DF
has more than tripled in the last five decades. The disease is primarily present in tropical …
has more than tripled in the last five decades. The disease is primarily present in tropical …
How Does the Built Environment Affect Mechanical Parking Space Planning: A Case Study in **'an City
Y Wang, W Li - Applied Sciences, 2024 - mdpi.com
Mechanical parking lots and spaces are known as the “energy saver” of urban space
because of their small footprint, high efficiency, and environmental protection. However, the …
because of their small footprint, high efficiency, and environmental protection. However, the …
How does the built environment affect transit use under different urban village renewal strategies?
S Cao, J Wang, X Li, B **e - Transportation Planning and …, 2025 - Taylor & Francis
Authorities often adopt rehabilitation or redevelopment strategies to enhance the built
environment (BE) of urban villages to address issues like traffic congestion, pollution, and …
environment (BE) of urban villages to address issues like traffic congestion, pollution, and …
A Novel Rubber Composite Sleeper-Deformation-Prediction Model Based on Response Surface Method (RSM) and Machine Learning (ML) Techniques
Rubber composite sleepers can experience significant temperature variations in service,
causing temperature-induced deformation. Real-time monitoring of this deformation is …
causing temperature-induced deformation. Real-time monitoring of this deformation is …
[PDF][PDF] Fatigue Life Estimation of High Strength 2090-T83 Aluminum Alloy under Pure Torsion Loading Using Various Machine Learning Techniques
The ongoing effort to create methods for detecting and quantifying fatigue damage is
motivated by the high levels of uncertainty in present fatigue-life prediction approaches and …
motivated by the high levels of uncertainty in present fatigue-life prediction approaches and …