[HTML][HTML] Applications of machine learning methods for engineering risk assessment–A review
The purpose of this article is to present a structured review of publications utilizing machine
learning methods to aid in engineering risk assessment. A keyword search is performed to …
learning methods to aid in engineering risk assessment. A keyword search is performed to …
A review and analysis of eye-gaze estimation systems, algorithms and performance evaluation methods in consumer platforms
A Kar, P Corcoran - IEEE Access, 2017 - ieeexplore.ieee.org
In this paper, a review is presented for the research on eye gaze estimation techniques and
applications, which has progressed in diverse ways over the past two decades. Several …
applications, which has progressed in diverse ways over the past two decades. Several …
HeartPy: A novel heart rate algorithm for the analysis of noisy signals
Heart rate data are often collected in human factors studies, including those into vehicle
automation. Advances in open hardware platforms and off-the-shelf photoplethysmogram …
automation. Advances in open hardware platforms and off-the-shelf photoplethysmogram …
[HTML][HTML] Detection and prediction of driver drowsiness using artificial neural network models
CJ de Naurois, C Bourdin, A Stratulat, E Diaz… - Accident Analysis & …, 2019 - Elsevier
Not just detecting but also predicting impairment of a car driver's operational state is a
challenge. This study aims to determine whether the standard sources of information used to …
challenge. This study aims to determine whether the standard sources of information used to …
Towards detection of bus driver fatigue based on robust visual analysis of eye state
Driver's fatigue is one of the major causes of traffic accidents, particularly for drivers of large
vehicles (such as buses and heavy trucks) due to prolonged driving periods and boredom in …
vehicles (such as buses and heavy trucks) due to prolonged driving periods and boredom in …
A new hybrid modified firefly algorithm and support vector regression model for accurate short term load forecasting
Precise forecast of the electrical load plays a highly significant role in the electricity industry
and market. It provides economic operations and effective future plans for the utilities and …
and market. It provides economic operations and effective future plans for the utilities and …
Driver inattention monitoring system for intelligent vehicles: A review
Y Dong, Z Hu, K Uchimura… - IEEE transactions on …, 2010 - ieeexplore.ieee.org
In this paper, we review the state-of-the-art technologies for driver inattention monitoring,
which can be classified into the following two main categories: 1) distraction and 2) fatigue …
which can be classified into the following two main categories: 1) distraction and 2) fatigue …
A temporal–spatial deep learning approach for driver distraction detection based on EEG signals
Distracted driving has been recognized as a major challenge to traffic safety improvement.
This article presents a novel driving distraction detection method that is based on a new …
This article presents a novel driving distraction detection method that is based on a new …
Artificial Intelligence, Machine Learning and Reasoning in Health Informatics—Case Studies
Abstract To apply Artificial Intelligence (AI), Machine Learning (ML) and Machine Reasoning
(MR) in health informatics are often challenging as they comprise with multivariate …
(MR) in health informatics are often challenging as they comprise with multivariate …
Consensus-based distributed linear support vector machines
PA Forero, A Cano, GB Giannakis - Proceedings of the 9th ACM/IEEE …, 2010 - dl.acm.org
This paper develops algorithms to train linear support vector machines (SVMs) when
training data are distributed across different nodes and their communication to a centralized …
training data are distributed across different nodes and their communication to a centralized …