Blockchain technology for intelligent transportation systems: A systematic literature review

R Jabbar, E Dhib, AB Said, M Krichen, N Fetais… - IEEE …, 2022‏ - ieeexplore.ieee.org
The use of Blockchain technology has recently become widespread. It has emerged as an
essential tool in various academic and industrial fields, such as healthcare, transportation …

[HTML][HTML] A systematic review on detection and prediction of driver drowsiness

ME Shaik - Transportation research interdisciplinary perspectives, 2023‏ - Elsevier
Driver drowsiness has emerged as one of the key factors in recent times' traffic accidents,
which can result in fatalities, serious physical losses, large monetary losses, and significant …

Convolutional neural networks: A survey

M Krichen - Computers, 2023‏ - mdpi.com
Artificial intelligence (AI) has become a cornerstone of modern technology, revolutionizing
industries from healthcare to finance. Convolutional neural networks (CNNs) are a subset of …

IoT‐based smart alert system for drowsy driver detection

AK Biswal, D Singh, BK Pattanayak… - Wireless …, 2021‏ - Wiley Online Library
In current years, drowsy driver detection is the most necessary procedure to prevent any
road accidents, probably worldwide. The aim of this study was to construct a smart alert …

4D: a real-time driver drowsiness detector using deep learning

I Jahan, KMA Uddin, SA Murad, MSU Miah, TZ Khan… - Electronics, 2023‏ - mdpi.com
There are a variety of potential uses for the classification of eye conditions, including
tiredness detection, psychological condition evaluation, etc. Because of its significance …

[HTML][HTML] Blockchain for the internet of vehicles: A decentralized iot solution for vehicles communication using ethereum

R Jabbar, M Kharbeche, K Al-Khalifa, M Krichen… - Sensors, 2020‏ - mdpi.com
The concept of smart cities has become prominent in modern metropolises due to the
emergence of embedded and connected smart devices, systems, and technologies. They …

IoT-based non-intrusive automated driver drowsiness monitoring framework for logistics and public transport applications to enhance road safety

MA Khan, T Nawaz, US Khan, A Hamza… - Ieee …, 2023‏ - ieeexplore.ieee.org
The exponential growth in road accidents has led to a need for continuous driver monitoring
to enhance road safety. Existing techniques rely on vehicle sensor-based and behavior …

Blockchain for the Internet of Vehicles: How to use blockchain to secure vehicle-to-everything (V2X) communication and payment?

R Jabbar, N Fetais, M Kharbeche… - IEEE Sensors …, 2021‏ - ieeexplore.ieee.org
As the Internet of Things (IoT) is evolving, one of its rapidly develo** components is the
transformation of standard Vehicle Ad-hoc Networks (VANETs) into the Internet of Vehicles …

Fast facial landmark detection and applications: A survey

K Khabarlak, L Koriashkina - arxiv preprint arxiv:2101.10808, 2021‏ - arxiv.org
Dense facial landmark detection is one of the key elements of face processing pipeline. It is
used in virtual face reenactment, emotion recognition, driver status tracking, etc. Early …

[HTML][HTML] An efficient approach for detecting driver drowsiness based on deep learning

AC Phan, NHQ Nguyen, TN Trieu, TC Phan - Applied Sciences, 2021‏ - mdpi.com
Drowsy driving is one of the common causes of road accidents resulting in injuries, even
death, and significant economic losses to drivers, road users, families, and society. There …