A review of traffic congestion prediction using artificial intelligence
M Akhtar, S Moridpour - Journal of Advanced Transportation, 2021 - Wiley Online Library
In recent years, traffic congestion prediction has led to a growing research area, especially
of machine learning of artificial intelligence (AI). With the introduction of big data by …
of machine learning of artificial intelligence (AI). With the introduction of big data by …
[HTML][HTML] Wavelet-based EEG processing for computer-aided seizure detection and epilepsy diagnosis
Electroencephalography (EEG) is an important tool for studying the human brain activity and
epileptic processes in particular. EEG signals provide important information about …
epileptic processes in particular. EEG signals provide important information about …
Long short-term memory neural network for traffic speed prediction using remote microwave sensor data
Neural networks have been extensively applied to short-term traffic prediction in the past
years. This study proposes a novel architecture of neural networks, Long Short-Term Neural …
years. This study proposes a novel architecture of neural networks, Long Short-Term Neural …
Jointly dampening traffic oscillations and improving energy consumption with electric, connected and automated vehicles: A reinforcement learning based approach
It has been well recognized that human driver's limits, heterogeneity, and selfishness
substantially compromise the performance of our urban transport systems. In recent years, in …
substantially compromise the performance of our urban transport systems. In recent years, in …
Deep neural network with high‐order neuron for the prediction of foamed concrete strength
The article presents a deep neural network model for the prediction of the compressive
strength of foamed concrete. A new, high‐order neuron was developed for the deep neural …
strength of foamed concrete. A new, high‐order neuron was developed for the deep neural …
A novel machine learning model for estimation of sale prices of real estate units
Predicting the price of housing is of paramount importance for near-term economic
forecasting of any nation. This paper presents a novel and comprehensive model for …
forecasting of any nation. This paper presents a novel and comprehensive model for …
Autism: cause factors, early diagnosis and therapies
Autism spectrum disorder (ASD) is a complex neurobiological disorder characterized by
neuropsychological and behavioral deficits. Cognitive impairment, lack of social skills, and …
neuropsychological and behavioral deficits. Cognitive impairment, lack of social skills, and …
Subway passenger flow prediction for special events using smart card data
E Chen, Z Ye, C Wang, M Xu - IEEE Transactions on Intelligent …, 2019 - ieeexplore.ieee.org
In order to reduce passenger delays and prevent severe overcrowding in the subway
system, it is necessary to accurately predict the short-term passenger flow during special …
system, it is necessary to accurately predict the short-term passenger flow during special …
A simple nonparametric car-following model driven by field data
Car-following models are always of great interest of traffic engineers and researchers. In the
age of mass data, this paper proposes a nonparametric car-following model driven by field …
age of mass data, this paper proposes a nonparametric car-following model driven by field …
Artificial neural networks applications in construction and building engineering (1991–2021): science mapping and visualization
Artificial neural network (ANN) has acquired noticeable interest from the research
community to handle complex problems in Construction and Building engineering (CB). This …
community to handle complex problems in Construction and Building engineering (CB). This …