Spatio-temporal modeling of asthma-prone areas: Exploring the influence of urban climate factors with explainable artificial intelligence (XAI)

SV Razavi-Termeh, A Sadeghi-Niaraki, F Ali… - Sustainable Cities and …, 2024 - Elsevier
Urbanization's impact on climate is increasingly recognized as a significant public health
challenge, particularly for respiratory conditions like asthma. Despite progress in …

[HTML][HTML] Solving water scarcity challenges in arid regions: A novel approach employing human-based meta-heuristics and machine learning algorithm for groundwater …

SV Razavi-Termeh, A Sadeghi-Niaraki, F Farhangi… - Chemosphere, 2024 - Elsevier
Addressing water scarcity challenges in arid regions is a pressing concern and demands
innovative solutions for accurate groundwater potential mapping (GPM). This study presents …

Study on the influence of input variables on the supervised machine learning model for landslide susceptibility mapping

P Lai, F Guo, X Huang, D Zhou, L Wang… - Environmental Earth …, 2024 - Springer
Supervised machine learning (ML) models are currently popular in landslide susceptibility
mapping (LSM). However, the input variables of these models have some inherent …

Modeling and Analysis of Microscopic Risk Avoidance Behavior of Homogeneous Driver Groups Under Risk Scenarios

L Zheng, Y Li, T Ding, Y Wang… - Transportation Research …, 2024 - journals.sagepub.com
To cope with the increasing number of road traffic crashes, it is critical to develop a driver
assistance system that can provide early warning for vehicle collisions and control the …

Hazardous Dust Source Susceptibility Mapping in Wet and Dry Periods of the Tigris-Euphrates Basin: A Meta-Heuristics and Machine Learning

AI Al-Taei, AA Alesheikh… - Environmental …, 2024 - jhsci.ut.ac.ir
Dust storms are a severe form of air pollution that poses significant threats to the
environment and human health. To deal with this phenomenon, it is crucial to comprehend …

تحلیل حساسیت کانون‌های مخاطره‌آمیز مستعد گردوغبار در دوره‌های مرطوب و خشک حوضه دجله و فرات: الگوریتم فرا ابتکاری و یادگیری ماشین

الطائی, ازهر ابراهیم, آل شیخ, درویشی بلورانی - مدیریت مخاطرات محیطی, 2024‎ - jhsci.ut.ac.ir
طوفان‌های گردوغبار یکی از شدیدترین نوع آلودگی هوا هستند و تهدیدات جدی را برای سلامت،
محیط‌زیست و انسان به همراه دارند. برای مقابله با این پدیده، درک مکانیسم‌های تولید گردوغبار …

Drowsiness Detection Using Adaboost Method and Haar Cascade Classifier to Improve Safety of Drivers

S Niranjan, TJ Jebaseeli, SA Raj, S Marshal - International Conference on …, 2023 - Springer
Drivers who need a nap are to blame for one-fourth of all major highway accidents,
suggesting that tiredness is a bigger factor in crashes than drunk driving. Drowsiness …