A survey of deep learning applications to autonomous vehicle control

S Kuutti, R Bowden, Y Jin, P Barber… - IEEE Transactions on …, 2020 - ieeexplore.ieee.org
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 …

A review of communication, driver characteristics, and controls aspects of cooperative adaptive cruise control (CACC)

KC Dey, L Yan, X Wang, Y Wang… - IEEE Transactions …, 2015 - ieeexplore.ieee.org
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 …

Screening for cardiac contractile dysfunction using an artificial intelligence–enabled electrocardiogram

ZI Attia, S Kapa, F Lopez-Jimenez, PM McKie… - Nature medicine, 2019 - nature.com
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 …

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 …

POP-TRAFFIC: A novel fuzzy neural approach to road traffic analysis and prediction

C Quek, M Pasquier, BBS Lim - IEEE transactions on intelligent …, 2006 - ieeexplore.ieee.org
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 …

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 …

RSPOP: Rough set–based pseudo outer-product Fuzzy rule identification algorithm

KK Ang, C Quek - Neural computation, 2005 - direct.mit.edu
Abstract System modeling with neuro-fuzzy systems involves two contradictory
requirements: interpretability verses accuracy. The pseudo outer-product (POP) rule …

GA-TSKfnn: Parameters tuning of fuzzy neural network using genetic algorithms

AM Tang, C Quek, GS Ng - Expert Systems with Applications, 2005 - Elsevier
Fuzzy logic allows mapping of an input space to an output space. The mechanism for doing
this is through a set of IF-THEN statements, commonly known as fuzzy rules. In order for a …

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 …

BIOLOGICAL BRAIN‐INSPIRED GENETIC COMPLEMENTARY LEARNING FOR STOCK MARKET AND BANK FAILURE PREDICTION1

TZ Tan, C Quek, GS Ng - Computational intelligence, 2007 - Wiley Online Library
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 …