Related references
Note: Only part of the references are listed.PM2.5 concentration modeling and prediction by using temperature-based deep belief network
Haixia Xing et al.
NEURAL NETWORKS (2021)
DNEAT: A novel dynamic node-edge attention network for origin-destination demand prediction
Dapeng Zhang et al.
TRANSPORTATION RESEARCH PART C-EMERGING TECHNOLOGIES (2021)
Real-time road traffic state prediction based on kernel-KNN
Dongwei Xu et al.
TRANSPORTMETRICA A-TRANSPORT SCIENCE (2020)
A spatio-temporal ensemble method for large-scale traffic state prediction
Yang Liu et al.
COMPUTER-AIDED CIVIL AND INFRASTRUCTURE ENGINEERING (2020)
A novel deep learning based fault diagnosis approach for chemical process with extended deep belief network
Yalin Wang et al.
ISA TRANSACTIONS (2020)
Detection and multi-class classification of falling in elderly people by deep belief network algorithms
Anice Jahanjoo et al.
JOURNAL OF AMBIENT INTELLIGENCE AND HUMANIZED COMPUTING (2020)
GE-GAN: A novel deep learning framework for road traffic state estimation
Dongwei Xu et al.
TRANSPORTATION RESEARCH PART C-EMERGING TECHNOLOGIES (2020)
Link-based traffic state estimation and prediction for arterial networks using license-plate recognition data
Xianyuan Zhan et al.
TRANSPORTATION RESEARCH PART C-EMERGING TECHNOLOGIES (2020)
An Improved Quantum-Inspired Differential Evolution Algorithm for Deep Belief Network
Wu Deng et al.
IEEE TRANSACTIONS ON INSTRUMENTATION AND MEASUREMENT (2020)
Freeway Traffic Speed Estimation by Regression Machine-Learning Techniques Using Probe Vehicle and Sensor Detector Data
Zhao Zhang et al.
JOURNAL OF TRANSPORTATION ENGINEERING PART A-SYSTEMS (2020)
On the possibility of short-term traffic prediction during disaster with machine learning approaches: An exploratory analysis
Makoto Chikaraishi et al.
TRANSPORT POLICY (2020)
Combined impact of road and traffic characteristic on driver behavior using smartphone sensor data
Virginia Petraki et al.
ACCIDENT ANALYSIS AND PREVENTION (2020)
Image-to-Image Learning to Predict Traffic Speeds by Considering Area-Wide Spatio-Temporal Dependencies
Dohyoung Jo et al.
IEEE TRANSACTIONS ON VEHICULAR TECHNOLOGY (2019)
Traffic speed prediction for urban transportation network: A path based deep learning approach
Jiawei Wang et al.
TRANSPORTATION RESEARCH PART C-EMERGING TECHNOLOGIES (2019)
Short-term prediction of lane-level traffic speeds: A fusion deep learning model
Yuanli Gu et al.
TRANSPORTATION RESEARCH PART C-EMERGING TECHNOLOGIES (2019)
Improved Hierarchical Adaptive Deep Belief Network for Bearing Fault Diagnosis
Changqing Shen et al.
APPLIED SCIENCES-BASEL (2019)
Real-Time Traffic Speed Estimation With Graph Convolutional Generative Autoencoder
Jamen Jian Qiao Yu et al.
IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS (2019)
Human emotion recognition using deep belief network architecture
Mohammad Mehedi Hassan et al.
INFORMATION FUSION (2019)
A Bayesian tensor decomposition approach for spatiotemporal traffic data imputation
Xinyu Chen et al.
TRANSPORTATION RESEARCH PART C-EMERGING TECHNOLOGIES (2019)
Deep Belief Network and Auto-Encoder for Face Classification
Nassih Bouchra et al.
INTERNATIONAL JOURNAL OF INTERACTIVE MULTIMEDIA AND ARTIFICIAL INTELLIGENCE (2019)
Low-Cost Road Traffic State Estimation System Using Time-Spatial Image Processing
Ekalux Ua-areemitr et al.
IEEE INTELLIGENT TRANSPORTATION SYSTEMS MAGAZINE (2019)
Text classification based on deep belief network and softmax regression
Mingyang Jiang et al.
NEURAL COMPUTING & APPLICATIONS (2018)
Electric Locomotive Bearing Fault Diagnosis Using a Novel Convolutional Deep Belief Network
Haidong Shao et al.
IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS (2018)
A hybrid deep learning based traffic flow prediction method and its understanding
Yuankai Wu et al.
TRANSPORTATION RESEARCH PART C-EMERGING TECHNOLOGIES (2018)
Estimating historical hourly traffic volumes via machine learning and vehicle probe data: A Maryland case study
Przemyslaw Sekula et al.
TRANSPORTATION RESEARCH PART C-EMERGING TECHNOLOGIES (2018)
Discriminant deep belief network for high-resolution SAR image classification
Zhiqiang Zhao et al.
PATTERN RECOGNITION (2017)
Driving analytics using smartphones: Algorithms, comparisons and challenges
Eleni I. Vlahogianni et al.
TRANSPORTATION RESEARCH PART C-EMERGING TECHNOLOGIES (2017)
Facial Expression Recognition Utilizing Local Direction-Based Robust Features and Deep Belief Network
Md. Zia Uddin et al.
IEEE ACCESS (2017)
Multisensor Feature Fusion for Bearing Fault Diagnosis Using Sparse Autoencoder and Deep Belief Network
Zhuyun Chen et al.
IEEE TRANSACTIONS ON INSTRUMENTATION AND MEASUREMENT (2017)
ImageNet Classification with Deep Convolutional Neural Networks
Alex Krizhevsky et al.
COMMUNICATIONS OF THE ACM (2017)
Deep belief network based electricity load forecasting: An analysis of Macedonian case
Aleksandra Dedinec et al.
ENERGY (2016)
Breast cancer classification using deep belief networks
Ahmed M. Abdel-Zaher et al.
EXPERT SYSTEMS WITH APPLICATIONS (2016)
DeepChart: Combining deep convolutional networks and deep belief networks in chart classification
Binbin Tang et al.
SIGNAL PROCESSING (2016)
Single and Multi-objective Optimal Power Flow Using Grey Wolf Optimizer and Differential Evolution Algorithms
Attia A. El-Fergany et al.
ELECTRIC POWER COMPONENTS AND SYSTEMS (2015)
Enhancing driver situational awareness through crowd intelligence
Bratislav Predic et al.
EXPERT SYSTEMS WITH APPLICATIONS (2015)
Deep Neural Nets as a Method for Quantitative Structure-Activity Relationships
Junshui Ma et al.
JOURNAL OF CHEMICAL INFORMATION AND MODELING (2015)
Hybridizing grey wolf optimization with differential evolution for global optimization and test scheduling for 3D stacked SoC
Aijun Zhu et al.
JOURNAL OF SYSTEMS ENGINEERING AND ELECTRONICS (2015)
Deep learning in neural networks: An overview
Juergen Schmidhuber
NEURAL NETWORKS (2015)
Grey Wolf Optimizer
Seyedali Mirjalili et al.
ADVANCES IN ENGINEERING SOFTWARE (2014)
Deep Learning-Based Classification of Hyperspectral Data
Yushi Chen et al.
IEEE JOURNAL OF SELECTED TOPICS IN APPLIED EARTH OBSERVATIONS AND REMOTE SENSING (2014)
Smartphone-Based Measurement Systems for Road Vehicle Traffic Monitoring and Usage-Based Insurance
Peter Handel et al.
IEEE SYSTEMS JOURNAL (2014)
Deep Architecture for Traffic Flow Prediction: Deep Belief Networks With Multitask Learning
Wenhao Huang et al.
IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS (2014)
Activity recognition with android phone using mixture-of-experts co-trained with labeled and unlabeled data
Young-Seol Lee et al.
NEUROCOMPUTING (2014)
Facial Expression Recognition via a Boosted Deep Belief Network
Ping Liu et al.
2014 IEEE CONFERENCE ON COMPUTER VISION AND PATTERN RECOGNITION (CVPR) (2014)
Learning Hierarchical Features for Scene Labeling
Clement Farabet et al.
IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE (2013)
Dynamic data-driven local traffic state estimation and prediction
Constantinos Antoniou et al.
TRANSPORTATION RESEARCH PART C-EMERGING TECHNOLOGIES (2013)
Deep Neural Networks for Acoustic Modeling in Speech Recognition
Geoffrey Hinton et al.
IEEE SIGNAL PROCESSING MAGAZINE (2012)
Acoustic Modeling Using Deep Belief Networks
Abdel-rahman Mohamed et al.
IEEE TRANSACTIONS ON AUDIO SPEECH AND LANGUAGE PROCESSING (2012)
Validation of traffic flow models with respect to the spatiotemporal evolution of congested traffic patterns
Martin Treiber et al.
TRANSPORTATION RESEARCH PART C-EMERGING TECHNOLOGIES (2012)
Traffic condition recognition using the k-means clustering method
M. Montazeri-Gh et al.
SCIENTIA IRANICA (2011)
Evaluation of traffic data obtained via GPS-enabled mobile phones: The Mobile Century field experiment
Juan C. Herrera et al.
TRANSPORTATION RESEARCH PART C-EMERGING TECHNOLOGIES (2010)
An algorithm for the recognition of levels of congestion in road traffic problems
Angelica Lozano et al.
MATHEMATICS AND COMPUTERS IN SIMULATION (2009)
Empirical test of a microscopic three-phase traffic theory
Boris S. Kerner et al.
NONLINEAR DYNAMICS (2007)
A fast learning algorithm for deep belief nets
Geoffrey E. Hinton et al.
NEURAL COMPUTATION (2006)
Three-phase traffic theory and highway capacity
BS Kerner
PHYSICA A-STATISTICAL MECHANICS AND ITS APPLICATIONS (2004)
Estimating generalization error on two-class datasets using out-of-bag estimates
T Bylander
MACHINE LEARNING (2002)
Share Paper
