[HTML][HTML] The application of machine learning techniques for Smart Irrigation Systems: a systematic literature review
A Younes, ZE Abou Elassad, O El Meslouhi… - Smart Agricultural …, 2024 - Elsevier
Abstract Smart Irrigation System is a complex concept used to control, monitor and automate
the irrigation of yields by integrating artificial intelligence techniques such as Machine …
the irrigation of yields by integrating artificial intelligence techniques such as Machine …
A human-in-the-loop ensemble fusion framework for road crash prediction: coping 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 …
A non-intrusive multivariate analysis for monitoring inattentive driving based on physiological signals, driver inputs and visual features: A hybrid deep learning …
DE Abou Elassad, ZE Abou Elassad… - … Networks and Mobile …, 2023 - ieeexplore.ieee.org
The widespread adoption of autonomous vehicles is inevitable and imminent, but the
presence of human supervision in driving will continue to be essential for many years to …
presence of human supervision in driving will continue to be essential for many years to …
[HTML][HTML] Prediction of the Road Accidents Severity Level: Case of Saint-Petersburg and Leningrad Oblast.
A Skhvediani, M Rodionova, N Savchenko… - International Journal …, 2023 - ijtech.eng.ui.ac.id
This article examines the factors influencing the severity of road accidents in St. Petersburg
and Leningrad oblast for 2015–2023. The study is carried out on the analysis of 69190 road …
and Leningrad oblast for 2015–2023. The study is carried out on the analysis of 69190 road …
Overcoming Imbalanced Safety Data Using Extended Accident Triangle
There is growing interest in using safety analytics and machine learning to support the
prevention of workplace incidents, especially in high-risk industries like construction and …
prevention of workplace incidents, especially in high-risk industries like construction and …
An advanced accident avoidance system based on imbalance-control ensemble and deep learning fusion design
D Elamrani Abou Elassad… - Journal of Intelligent …, 2024 - content.iospress.com
The concept of endorsing AI in embedded systems is growing in all sectors including the
development of Accident Avoidance Systems. Although real-time road crash prediction is …
development of Accident Avoidance Systems. Although real-time road crash prediction is …
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 …
Understanding the Factors Contributing to Traffic Accidents: Survey and Taxonomy
S El Ferouali, Z Elamrani Abou Elassad… - … Conference on Artificial …, 2023 - Springer
This article examines the causes of road accidents around the world as well as the solutions
that have been developed by many researchers to lessen the severity of these catastrophes …
that have been developed by many researchers to lessen the severity of these catastrophes …
Twitter Sentiment Analysis of COVID-19 Vaccination Integrating SenticNet-7 and SentiWordNet-Adjusted VADER Models
PC Sridevi, T Velmurugan - International Journal of Computer …, 2024 - cspub-ijcisim.org
Social media platforms in the modern era are enormous informational databases that
continually generate massive volumes of data that provide deep insights into human …
continually generate massive volumes of data that provide deep insights into human …
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 …