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From Baseline to Best Practice: An Advanced Feature Selection, Feature Resampling and Grid Search Techniques to Improve Injury Severity Prediction
S EL Ferouali, Z Elamrani Abou Elassad… - Applied Artificial …, 2025 - Taylor & Francis
This work addresses the need for precise prediction models that predict the severity of
injuries sustained in traffic crashes as a regression task. To this end, we thoroughly …
injuries sustained in traffic crashes as a regression task. To this end, we thoroughly …
A human-in-the-loop ensemble fusion framework for road crash prediction: co** with imbalanced heterogeneous data from the driver-vehicle-environment system
D Elamrani Abou Elassad… - Transportation …, 2024 - Taylor & Francis
Road accidents are an inevitable aspect of daily life, and predicting crashes is crucial for
minimizing disruptions and advancing intelligent transportation technologies. This study …
minimizing disruptions and advancing intelligent transportation technologies. This study …
Optimizing Smart Home Energy Forecasting: Unveiling Superiority among RBFNN, ESN, and LSTM
In response to the accelerating integration of IoT devices for monitoring residential energy
consumption, this study focuses on identifying robust predictive models aligned with global …
consumption, this study focuses on identifying robust predictive models aligned with global …
Deep Learning Prediction of Vehicle Lane Departure During Night-Times: A Synthetic Over-Sampling Framework with Enhanced Dimensionality Reduction
D Elamrani Abou Elassad… - … on Connected Objects …, 2024 - Springer
The inevitability and imminent widespread adoption of autonomous vehicles are
acknowledged, yet human supervision in driving remains crucial for the foreseeable future …
acknowledged, yet human supervision in driving remains crucial for the foreseeable future …
Evaluating Naive Bayes Classifiers for Traffic Crash Prediction in Rome, Italy: A Comparative Examination
S El Ferouali, Z Elamrani Abou Elassad… - … Conference on Artificial …, 2024 - Springer
It has been observed that technological innovations like Geographic Information Systems
(GIS), Machine Learning, Artificial Intelligence (AI), Internet of Things (IoT), Big Data, and …
(GIS), Machine Learning, Artificial Intelligence (AI), Internet of Things (IoT), Big Data, and …
Deep Learning Prediction of Vehicle Lane Departure During Night-Times: A Synthetic Over-Sampling Framework with Enhanced Dimensionality Reduction
M Akhloufi - Proceeding of the International Conference on …, 2024 - books.google.com
The inevitability and imminent widespread adoption of autonomous vehicles are
acknowledged, yet human supervision in driving remains crucial for the foreseeable future …
acknowledged, yet human supervision in driving remains crucial for the foreseeable future …
Evaluating Naive Bayes Classifiers for Traffic Crash Prediction in Rome
S El Ferouali¹, ZE Abou Elassad - … and Its Practical Applications in the … - books.google.com
It has been observed that technological innovations like Geo-graphic Information Systems
(GIS), Machine Learning, Artificial Intelligence (AI), Internet of Things (IoT), Big Data, and …
(GIS), Machine Learning, Artificial Intelligence (AI), Internet of Things (IoT), Big Data, and …