A new ensemble spatio-temporal PM2.5 prediction method based on graph attention recursive networks and reinforcement learning

Intelligent modeling strategies for forecasting air quality time series: A review

(2021) Hui Liu et al.   APPLIED SOFT COMPUTING

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

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

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

Multi-directional temporal convolutional artificial neural network for PM2.5 forecasting with missing values: A deep learning approach

(2021) K. Krishna Rani Samal et al.   Urban Climate

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

A new hybrid model based on secondary decomposition, reinforcement learning and SRU network for wind turbine gearbox oil temperature forecasting

(2021) Hui Liu et al.   MEASUREMENT

Traffic Volume Prediction Based on Multi-Sources GPS Trajectory Data by Temporal Convolutional Network

(2020) Li Kuang et al.   MOBILE NETWORKS & APPLICATIONS

An end-to-end inverse reinforcement learning by a boosting approach with relative entropy

(2020) Tao Zhang 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

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

Temporal Convolutional Networks Applied to Energy-Related Time Series Forecasting

(2020) Pedro Lara-Benítez et al.   Applied Sciences-Basel

An improved deep learning model for predicting stock market price time series

(2020) Hui Liu et al.   DIGITAL SIGNAL PROCESSING

A new hybrid ensemble deep reinforcement learning model for wind speed short term forecasting

(2020) Hui Liu et al.   ENERGY

Wind speed prediction based on singular spectrum analysis and neural network structural learning

(2020) Xiwei Mi et al.   ENERGY CONVERSION AND MANAGEMENT

Spatial temporal incidence dynamic graph neural networks for traffic flow forecasting

(2020) Hao Peng et al.   INFORMATION SCIENCES

Seamless integration of convolutional and back-propagation neural networks for regional multi-step-ahead PM2.5 forecasting

(2020) Pu-Yun Kow et al.   JOURNAL OF CLEANER PRODUCTION

A New Model Using Multiple Feature Clustering and Neural Networks for Forecasting Hourly PM2.5 Concentrations, and Its Applications in China

(2020) Hui Liu et al.   Engineering

HAGERec: Hierarchical Attention Graph Convolutional Network Incorporating Knowledge Graph for Explainable Recommendation

(2020) Zuoxi Yang et al.   KNOWLEDGE-BASED SYSTEMS

Short-term traffic speed forecasting based on graph attention temporal convolutional networks

(2020) Ge Guo et al.   NEUROCOMPUTING

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

Traffic flow prediction on urban road network based on License Plate Recognition data: combining attention-LSTM with Genetic Algorithm

(2020) Jinjun Tang et al.   Transportmetrica A-Transport Science

Improved Breast Cancer Classification Through Combining Graph Convolutional Network and Convolutional Neural Network

(2020) Yu-Dong Zhang et al.   INFORMATION PROCESSING & MANAGEMENT

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

(2020) Huakang Lu et al.   NEUROCOMPUTING

A novel hybrid approach based on relief algorithm and fuzzy reinforcement learning approach for predicting wind speed

(2020) Hasmat Malik et al.   Sustainable Energy Technologies and Assessments

A novel graph convolutional feature based convolutional neural network for stock trend prediction

(2020) Wei Chen et al.   INFORMATION SCIENCES

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

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

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

Air PM2.5 concentration multi-step forecasting using a new hybrid modeling method: Comparing cases for four cities in China

(2019) Hui Liu et al.   Atmospheric Pollution Research

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

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

Multi-objective data-ensemble wind speed forecasting model with stacked sparse autoencoder and adaptive decomposition-based error correction

(2019) Hui Liu et al.   APPLIED ENERGY

Performance enhancement of the artificial neural network–based reinforcement learning for wind turbine yaw control

(2019) Aitor Saenz‐Aguirre et al.   WIND ENERGY

An improved non-intrusive load disaggregation algorithm and its application

(2019) Hui Liu et al.   Sustainable Cities and Society

A novel spatiotemporal convolutional long short-term neural network for air pollution prediction

(2018) Congcong Wen et al.   SCIENCE OF THE TOTAL ENVIRONMENT

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

(2018) Yong Cheng et al.   ATMOSPHERIC ENVIRONMENT

Indoor air quality in urban and rural kindergartens: short-term studies in Silesia, Poland

(2017) Ewa Błaszczyk et al.   Air Quality Atmosphere and Health

Deep Direct Reinforcement Learning for Financial Signal Representation and Trading

(2017) Yue Deng et al.   IEEE Transactions on Neural Networks and Learning Systems

A novel hybrid decomposition-and-ensemble model based on CEEMD and GWO for short-term PM2.5 concentration forecasting

(2016) Mingfei Niu et al.   ATMOSPHERIC ENVIRONMENT

Short-term wind speed forecasting based on spectral clustering and optimised echo state networks

(2015) Da Liu et al.   RENEWABLE ENERGY

Ground-level ozone forecasting using data-driven methods

(2009) T. A. Solaiman et al.   Air Quality Atmosphere and Health