Abstract Artificial Intelligence (AI), Machine Learning (ML), and Deep Learning (DL) have
revolutionized the field of advanced robotics in recent years. AI, ML, and DL are transforming …

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 …

In the structure of ANFIS, there are two different parameter groups: premise and
consequence. Training ANFIS means determination of these parameters using an …

Artificial intelligence (AI) is redefining how we exist in the world. In almost every sector of
society, AI is performing tasks with super-human speed and intellect; from the prediction of …

Road accidents are one of the most relevant causes of injuries and death worldwide, and
therefore, they constitute a significant field of research on the use of advanced algorithms …

Driving an automobile under high stress level reduces driver's control on vehicle and risk-
assessment capabilities, often resulting in road accidents. Driver's anxiety therefore is a key …

Driving Behavior (DB) is a complex concept describing how the driver operates the vehicle
in the context of the driving scene and surrounding environment. Recently, DB assessment …

Autonomous vehicles (AVs) have now drawn significant attentions in academic and
industrial research because of various advantages such as safety improvement, lower …

With population growth, the demand for vehicles has increased tremendously, which has
created an alarming situation in terms of traffic hazards and road accidents. The road …

In the study of image and vision computing, the generalization capability of an algorithm
often determines whether it is able to work well in complex scenes. The goal of this review …