A new multi-data-driven spatiotemporal PM2.5 forecasting model based on an ensemble graph reinforcement learning convolutional network

Hierarchical Traffic Signal Optimization Using Reinforcement Learning and Traffic Prediction with Long-Short Term Memory

(2021) Monireh Abdoos et al.   EXPERT SYSTEMS WITH APPLICATIONS

Artificial intelligence accuracy assessment in NO2 concentration forecasting of metropolises air

(2021) Seyedeh Reyhaneh Shams et al.   Scientific Reports

HetGAT: a heterogeneous graph attention network for freeway traffic speed prediction

(2021) Canghong Jin et al.   Journal of Ambient Intelligence and Humanized Computing

Forecasting PM2.5 using hybrid graph convolution-based model considering dynamic wind-field to offer the benefit of spatial interpretability

(2021) Hongye Zhou et al.   ENVIRONMENTAL POLLUTION

Airborne LiDAR point cloud classification with global-local graph attention convolution neural network

(2021) Congcong Wen et al.   ISPRS JOURNAL OF PHOTOGRAMMETRY AND REMOTE SENSING

Multi-community passenger demand prediction at region level based on spatio-temporal graph convolutional network

(2021) Jinjun Tang et al.   TRANSPORTATION RESEARCH PART C-EMERGING TECHNOLOGIES

Graph-CAT: Graph Co-Attention Networks via local and global attribute augmentations

(2021) Liang Yang et al.   Future Generation Computer Systems-The International Journal of eScience

Adaptive Traffic Signal Control for large-scale scenario with Cooperative Group-based Multi-agent reinforcement learning

(2021) Tong Wang et al.   TRANSPORTATION RESEARCH PART C-EMERGING TECHNOLOGIES

Low-rank Matrix Regression for Image Feature Extraction and Feature Selection

(2020) Haoliang Yuan et al.   INFORMATION SCIENCES

Using deep learning to extend the range of air pollution monitoring and forecasting

(2020) Philipp Hähnel et al.   JOURNAL OF COMPUTATIONAL PHYSICS

Structured optimal graph based sparse feature extraction for semi-supervised learning

(2020) Zhonghua Liu et al.   SIGNAL PROCESSING

Forecasting road traffic speeds by considering area-wide spatio-temporal dependencies based on a graph convolutional neural network (GCN)

(2020) Byeonghyeop Yu et al.   TRANSPORTATION RESEARCH PART C-EMERGING TECHNOLOGIES

An LSTM-based aggregated model for air pollution forecasting

(2020) Yue-Shan Chang et al.   Atmospheric Pollution Research

GPS-based citywide traffic congestion forecasting using CNN-RNN and C3D hybrid model

(2020) Jingqiu Guo et al.   Transportmetrica A-Transport Science

SSGRU: A novel hybrid stacked GRU-based traffic volume prediction approach in a road network

(2020) Peng Sun et al.   COMPUTER COMMUNICATIONS

Efficient online learning with improved LSTM neural networks

(2020) Ali H. Mirza et al.   DIGITAL SIGNAL PROCESSING

Deep reinforcement learning for traffic signal control under disturbances: A case study on Sunway city, Malaysia

(2020) Faizan Rasheed et al.   Future Generation Computer Systems-The International Journal of eScience

A real-time power quality events recognition using variational mode decomposition and online-sequential extreme learning machine

(2020) Mrutyunjaya Sahani et al.   MEASUREMENT

An SAE-based resampling SVM ensemble learning paradigm for pipeline leakage detection

(2020) Chuang Wang et al.   NEUROCOMPUTING

Intelligent multi-zone residential HVAC control strategy based on deep reinforcement learning

(2020) Yan Du et al.   APPLIED ENERGY

Graph classification based on structural features of significant nodes and spatial convolutional neural networks

(2020) Tinghuai Ma et al.   NEUROCOMPUTING

Graph attention network for detecting license plates in crowded street scenes

(2020) Pinaki Nath Chowdhury et al.   PATTERN RECOGNITION LETTERS

Multi-task deep reinforcement learning for intelligent multi-zone residential HVAC control

(2020) Yan Du et al.   ELECTRIC POWER SYSTEMS RESEARCH

A temporal-aware LSTM enhanced by loss-switch mechanism for traffic flow forecasting

(2020) Huakang Lu et al.   NEUROCOMPUTING

Graph convolutional network-based credit default prediction utilizing three types of virtual distances among borrowers

(2020) Jong Wook Lee et al.   EXPERT SYSTEMS WITH APPLICATIONS

Variational Graph Neural Networks for Road Traffic Prediction in Intelligent Transportation Systems

(2020) Fan Zhou et al.   IEEE Transactions on Industrial Informatics

Hourly PM2.5 concentration forecast using stacked autoencoder model with emphasis on seasonality

(2019) Yun Bai et al.   JOURNAL OF CLEANER PRODUCTION

An ensemble long short-term memory neural network for hourly PM2.5 concentration forecasting

(2019) Yun Bai et al.   CHEMOSPHERE

A hybrid model for spatiotemporal forecasting of PM2.5 based on graph convolutional neural network and long short-term memory

(2019) Yanlin Qi et al.   SCIENCE OF THE TOTAL ENVIRONMENT

A new approach for arrhythmia classification using deep coded features and LSTM networks

(2019) Ozal Yildirim et al.   COMPUTER METHODS AND PROGRAMS IN BIOMEDICINE

Deep heterogeneous GRU model for predictive analytics in smart manufacturing: Application to tool wear prediction

(2019) Jinjiang Wang et al.   COMPUTERS IN INDUSTRY

A reinforcement learning unit matching recurrent neural network for the state trend prediction of rolling bearings

(2019) Feng Li et al.   MEASUREMENT

A decomposition-based many-objective artificial bee colony algorithm with reinforcement learning

(2019) Haitong Zhao et al.   APPLIED SOFT COMPUTING

Data-driven reduced order model with temporal convolutional neural network

(2019) Pin Wu et al.   COMPUTER METHODS IN APPLIED MECHANICS AND ENGINEERING

An adaptive hybrid model for short term wind speed forecasting

(2019) Jinliang Zhang et al.   ENERGY

Reinforcement learning-based real-time power management for hybrid energy storage system in the plug-in hybrid electric vehicle

(2018) Rui Xiong et al.   APPLIED ENERGY

A novel hybrid decomposition-ensemble model based on VMD and HGWO for container throughput forecasting

(2018) Mingfei Niu et al.   APPLIED MATHEMATICAL MODELLING

A deep hybrid learning model to detect unsafe behavior: Integrating convolution neural networks and long short-term memory

(2018) Lieyun Ding et al.   AUTOMATION IN CONSTRUCTION

Predicting monthly high-resolution PM 2.5 concentrations with random forest model in the North China Plain

(2018) Keyong Huang et al.   ENVIRONMENTAL POLLUTION

Input quality aware convolutional LSTM networks for virtual marine sensors

(2018) Stefan Oehmcke et al.   NEUROCOMPUTING

A Deep Spatial-Temporal Ensemble Model for Air Quality Prediction

(2018) Junshan Wang et al.   NEUROCOMPUTING

A secondary-decomposition-ensemble learning paradigm for forecasting PM 2.5 concentration

(2018) Kai Gan et al.   Atmospheric Pollution Research

Experienced Gray Wolf Optimization Through Reinforcement Learning and Neural Networks

(2018) E. Emary et al.   IEEE Transactions on Neural Networks and Learning Systems

Deep convolutional neural networks for Bearings failure predictionand temperature correlation

(2018) D. Belmiloud et al.   Journal of Vibroengineering

An innovative hybrid air pollution early-warning system based on pollutants forecasting and Extenics evaluation

(2018) Ping Jiang et al.   KNOWLEDGE-BASED SYSTEMS

Hybrid algorithm for short-term forecasting of PM2.5 in China

(2018) Yong Cheng et al.   ATMOSPHERIC ENVIRONMENT

Daily PM 2.5 concentration prediction based on principal component analysis and LSSVM optimized by cuckoo search algorithm

(2017) Wei Sun et al.   JOURNAL OF ENVIRONMENTAL MANAGEMENT

Recursive neural network model for analysis and forecast of PM10 and PM2.5

(2017) Fabio Biancofiore et al.   Atmospheric Pollution Research

Deep belief network based deterministic and probabilistic wind speed forecasting approach

(2016) H.Z. Wang et al.   APPLIED ENERGY

BPSO-Adaboost-KNN ensemble learning algorithm for multi-class imbalanced data classification

(2016) Guo Haixiang et al.   ENGINEERING APPLICATIONS OF ARTIFICIAL INTELLIGENCE

Particle swarm optimization of ensemble neural networks with fuzzy aggregation for time series prediction of the Mexican Stock Exchange

(2014) Martha Pulido et al.   INFORMATION SCIENCES

An integrated WRF/HYSPLIT modeling approach for the assessment of PM2.5 source regions over the Mississippi Gulf Coast region

(2011) Anjaneyulu Yerramilli et al.   Air Quality Atmosphere and Health