[HTML][HTML] A novel fault diagnosis method for second-order bandpass filter circuit based on TQWT-CNN
X Yuan, Y Sheng, X Zhuang, J Yin, S Yang - Plos one, 2024 - journals.plos.org
To accurately locate faulty components in analog circuits, an analog circuit fault diagnosis
method based on Tunable Q-factor Wavelet Transform (TQWT) and Convolutional Neural …
method based on Tunable Q-factor Wavelet Transform (TQWT) and Convolutional Neural …
A robust machine learning structure for driving events recognition using smartphone motion sensors
M Zarei Yazd, I Taheri Sarteshnizi… - Journal of Intelligent …, 2024 - Taylor & Francis
Driving behavior monitoring by smartphone sensors is one of the most investigated
approaches to ameliorate road safety. Various methods are adopted in the literature; …
approaches to ameliorate road safety. Various methods are adopted in the literature; …
Cognitive workload classification of law enforcement officers using physiological responses
D Wozniak, M Zahabi - Applied Ergonomics, 2024 - Elsevier
Motor vehicle crashes (MVCs) are a leading cause of death for law enforcement officers
(LEOs) in the US LEOs and more specifically novice LEOs (nLEOs) are susceptible to high …
(LEOs) in the US LEOs and more specifically novice LEOs (nLEOs) are susceptible to high …
[HTML][HTML] Analysis and Prediction of Risky Driving Behaviors Using Fuzzy Analytical Hierarchy Process and Machine Learning Techniques
Driver behavior plays a pivotal role in ensuring road safety as it is a significant factor in
preventing traffic crashes. Although extensive research has been conducted on this topic in …
preventing traffic crashes. Although extensive research has been conducted on this topic in …
[HTML][HTML] Real-time driver identification in IoV: A deep learning and cloud integration approach
HM Gheni, LA AbdulRahaim, A Abdellatif - Heliyon, 2024 - cell.com
Abstract The Internet of Vehicles (IoV) emerges as a pivotal extension of the Internet of
Things (IoT), specifically geared towards transforming the automotive landscape. In this …
Things (IoT), specifically geared towards transforming the automotive landscape. In this …
[HTML][HTML] A machine learning-based algorithm for automated detection of frequency-based events in recorded time series of sensor data
B Medghalchi, A Vogel - Engineering Applications of Artificial Intelligence, 2024 - Elsevier
Automated event detection methods, vital for monitoring technical systems via sensor data,
are highly sought after in the automotive industry for tracing events in time series data. For …
are highly sought after in the automotive industry for tracing events in time series data. For …
A Novel Method for Illegal Driver Detection and Legal Driver Identification Using Multitask Learning Based LSTM Models for Real Time Applications
M Manoharan, K Muthukrishnan, G Balan… - Wireless Personal …, 2024 - Springer
Abstract The Industrial Internet of Things is becoming the novel driving force in the
automotive industry, assembly travel more suitable for individuals. Despite this, there are still …
automotive industry, assembly travel more suitable for individuals. Despite this, there are still …
Identification of aggressive driving behavior of online car‐hailing drivers based on association classification
Y Wu, S Chen, Y Ma, W Cheng… - Human Factors and …, 2024 - Wiley Online Library
With the rapid development of online car‐hailing, the related crashes have become a key
issue with public concern. Identifying and predicting aggressive driving behaviors is critical …
issue with public concern. Identifying and predicting aggressive driving behaviors is critical …
An Efficient Deep Learning Model Based on Driver Behaviour Detection Within CAN-BUS Signals.
HM Gheni, LA Abdul-Rahaim - Revue d'Intelligence …, 2024 - search.ebscohost.com
Abstract Intelligent Transportation Systems (ITS) have extensively utilized driver behavior
monitoring systems to mitigate the risk of traffic accidents caused by factors such as …
monitoring systems to mitigate the risk of traffic accidents caused by factors such as …
Driver's Accident Behavioral Analytics Using AI
MA Obaid - 2024 - repository.rit.edu
This comprehensive dissertation constitutes a significant contribution to the ongoing global
discourse on road safety. Through a judicious utilization of advanced data analysis …
discourse on road safety. Through a judicious utilization of advanced data analysis …