A Novel Multi-Factor Three-Step Feature Selection and Deep Learning Framework for Regional GDP Prediction: Evidence from China

Urbanization, Economic Development, and Ecological Environment: Evidence from Provincial Panel Data in China

(2022) Xiaofu Chen et al.   Sustainability

Fresh Insight through a Keynesian Theory Approach to Investigate the Economic Impact of the COVID-19 Pandemic in Pakistan

(2022) Kashif Abbass et al.   Sustainability

Dynamic feature selection algorithm based on Q-learning mechanism

(2021) Ruohao Xu et al.   APPLIED INTELLIGENCE

Using the Boruta algorithm and deep learning models for mapping land susceptibility to atmospheric dust emissions in Iran

(2021) Hamid Gholami et al.   Aeolian Research

Q-Learning-based parameter control in differential evolution for structural optimization

(2021) Thanh N. Huynh et al.   APPLIED SOFT COMPUTING

Deep learning hybrid model with Boruta-Random forest optimiser algorithm for streamflow forecasting with climate mode indices, rainfall, and periodicity

(2021) A.A. Masrur Ahmed et al.   JOURNAL OF HYDROLOGY

Spatial Effects of Energy Consumption and Green GDP in Regional Agreements

(2021) Mahnaz Kalantaripor et al.   Sustainability

Research on the Effectiveness of China’s Macro Control Policy on Output and Technological Progress under Economic Policy Uncertainty

(2021) Ganwen Zheng et al.   Sustainability

The Impact of COVID-19 on Electricity Prices in Italy, the Czech Republic, and China

(2021) Safwan Ghanem et al.   Applied Sciences-Basel

Multi-output TCN autoencoder for long-term pollution forecasting for multiple sites

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

The Transitions Clinic Network: Post Incarceration Addiction Treatment, Healthcare, and Social Support (TCN-PATHS): A hybrid type-1 effectiveness trial of enhanced primary care to improve opioid use disorder treatment outcomes following release from jail

(2021) Benjamin A. Howell et al.   JOURNAL OF SUBSTANCE ABUSE TREATMENT

A multimodal approach for regional GDP prediction using social media activity and historical information

(2021) Javier Ortega-Bastida et al.   APPLIED SOFT COMPUTING

Ultra-short-term Railway traction load prediction based on DWT-TCN-PSO_SVR combined model

(2021) Qian Ma et al.   INTERNATIONAL JOURNAL OF ELECTRICAL POWER & ENERGY SYSTEMS

Self-supervised reinforcement learning-based energy management for a hybrid electric vehicle

(2021) Chunyang Qi et al.   JOURNAL OF POWER SOURCES

Reinforcement learning and its connections with neuroscience and psychology

(2021) Ajay Subramanian et al.   NEURAL NETWORKS

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

(2021) Xinwei Liu et al.   Atmospheric Pollution Research

A Regional Industrial Economic Forecasting Model Based on a Deep Convolutional Neural Network and Big Data

(2021) Shouheng Tuo et al.   Sustainability

Measuring the Economic Impact of COVID-19 on the UK’s Leisure and Sport during the 2020 Lockdown

(2021) Themis Kokolakakis et al.   Sustainability

A novel reinforced online model selection using Q-learning technique for wind speed prediction

(2021) Vishalteja Kosana et al.   Sustainable Energy Technologies and Assessments

Business Cycles and Alcohol Consumption: Evidence from a Nonlinear Panel ARDL Approach

(2021) Elkhan Richard Sadik-Zada et al.   Journal of Wine Economics

Control automation in the heat-up mode of a nuclear power plant using reinforcement learning

(2021) JaeKwan Park et al.   PROGRESS IN NUCLEAR ENERGY

Financial time series forecasting with deep learning : A systematic literature review: 2005–2019

(2020) Omer Berat Sezer et al.   APPLIED SOFT COMPUTING

Drivers of CO2-Emissions in Fossil Fuel Abundant Settings: (Pooled) Mean Group and Nonparametric Panel Analyses

(2020) Elkhan Richard Sadik-Zada et al.   Energies

Forecasting of Real GDP Growth Using Machine Learning Models: Gradient Boosting and Random Forest Approach

(2020) Jaehyun Yoon   Computational Economics

COVID-19, Urbanization Pattern and Economic Recovery: An Analysis of Hubei, China

(2020) Wenyi Yang et al.   International Journal of Environmental Research and Public Health

Temporal convolutional networks interval prediction model for wind speed forecasting

(2020) Zhenhao Gan et al.   ELECTRIC POWER SYSTEMS RESEARCH

Energy Consumption and Financial Development in NAFTA Countries, 1971–2015

(2019) Mario Gómez et al.   Applied Sciences-Basel

Feature Selection with Conditional Mutual Information Considering Feature Interaction

(2019) Jun Liang et al.   Symmetry-Basel

Income Inequality and Status Symbols: The Case of Fine Wine Imports

(2019) Britta Niklas et al.   Journal of Wine Economics

Forecasting of Energy Consumption in China Based on Ensemble Empirical Mode Decomposition and Least Squares Support Vector Machine Optimized by Improved Shuffled Frog Leaping Algorithm

(2018) Shuyu Dai et al.   Applied Sciences-Basel

Multi-step ahead wind speed prediction based on optimal feature extraction, long short term memory neural network and error correction strategy

(2018) Jujie Wang et al.   APPLIED ENERGY

Systematic variation of the benzoylhydrazine moiety of the GluN2A selective NMDA receptor antagonist TCN-201

(2018) Julian A. Schreiber et al.   EUROPEAN JOURNAL OF MEDICINAL CHEMISTRY

Forecasting of Chinese Primary Energy Consumption in 2021 with GRU Artificial Neural Network

(2017) Bingchun Liu et al.   Energies

Implicit Multi-Feature Learning for Dynamic Time Series Prediction of the Impact of Institutions

(2017) Xiaomei Bai et al.   IEEE Access

Critical assessment of automated flow cytometry data analysis techniques

(2013) Nima Aghaeepour et al.   NATURE METHODS

Energy models for demand forecasting—A review

(2011) L. Suganthi et al.   RENEWABLE & SUSTAINABLE ENERGY REVIEWS

Comparative regional GDP analysis: case study of Croatia

(2010) Elza Jurun et al.   Central European Journal of Operations Research