A survey of deep learning applications to autonomous vehicle control
Designing a controller for autonomous vehicles capable of providing adequate performance
in all driving scenarios is challenging due to the highly complex environment and inability to …
in all driving scenarios is challenging due to the highly complex environment and inability to …
A review of communication, driver characteristics, and controls aspects of cooperative adaptive cruise control (CACC)
Cooperative adaptive cruise control (CACC) systems have the potential to increase traffic
throughput by allowing smaller headway between vehicles and moving vehicles safely in a …
throughput by allowing smaller headway between vehicles and moving vehicles safely in a …
Screening for cardiac contractile dysfunction using an artificial intelligence–enabled electrocardiogram
Asymptomatic left ventricular dysfunction (ALVD) is present in 3–6% of the general
population, is associated with reduced quality of life and longevity, and is treatable when …
population, is associated with reduced quality of life and longevity, and is treatable when …
Model predictive control for adaptive cruise control with multi-objectives: comfort, fuel-economy, safety and car-following
L Luo, H Liu, P Li, H Wang - Journal of Zhejiang University SCIENCE A, 2010 - Springer
For automated vehicles, comfortable driving will improve passengers' satisfaction. Reducing
fuel consumption brings economic profits for car owners, decreases the impact on the …
fuel consumption brings economic profits for car owners, decreases the impact on the …
POP-TRAFFIC: A novel fuzzy neural approach to road traffic analysis and prediction
Although much research has been done over the decades on the formulation of statistical
regression models for road traffic relationships, they have been largely unsuitable due to the …
regression models for road traffic relationships, they have been largely unsuitable due to the …
GenSo-EWS: a novel neural-fuzzy based early warning system for predicting bank failures
WL Tung, C Quek, P Cheng - Neural networks, 2004 - Elsevier
Bank failure prediction is an important issue for the regulators of the banking industries. The
collapse and failure of a bank could trigger an adverse financial repercussion and generate …
collapse and failure of a bank could trigger an adverse financial repercussion and generate …
A review of fuzzy methods in automotive engineering applications
V Ivanov - European Transport Research Review, 2015 - Springer
Purpose The paper addresses evolution of fuzzy systems for core applications of automotive
engineering. Methods The presented study is based on the analysis of bibliography …
engineering. Methods The presented study is based on the analysis of bibliography …
BIOLOGICAL BRAIN‐INSPIRED GENETIC COMPLEMENTARY LEARNING FOR STOCK MARKET AND BANK FAILURE PREDICTION1
Genetic complementary learning (GCL) is a biological brain‐inspired learning system based
on human pattern recognition, and genes selection process. It is a confluence of the …
on human pattern recognition, and genes selection process. It is a confluence of the …