COVID-19’s Impact on the Box office: Machine Learning and Difference-in-Difference

Daily PM2.5 Forecasting Using Graph Convolutional Networks Based on Human Migration

Detection Capability Prediction Based on Broad Learning System during the COVID-19 Pandemic

Empirical Mode Decomposition Based Deep Neural Networks for AQI Forecasting

Optimizing Broad Learning System Hyper-parameters through Particle Swarm Optimization for Predicting COVID-19 in 184 Countries

Predicting Video Game Sales Based on Machine Learning and Hybrid Feature Selection Method

Random-Forest-Bagging Broad Learning System With Applications for COVID-19 Pandemic

Analysis of collective action propagation with multiple recurrences

E-commerce Sales Forecast Based on Ensemble Learning

General Model for COVID-19 Spreading With Consideration of Intercity Migration, Insufficient Testing, and Active Intervention: Modeling Study of Pandemic Progression in Japan and the United States

Identifying epidemic spreading dynamics of COVID-19 by pseudocoevolutionary simulated annealing optimizers

Impact of COVID-19 Lockdown on Human Activity and Air Quality in China

Modeling and prediction of the 2019 coronavirus disease spreading in China incorporating human migration data

Modeling Human Activity With Seasonality Bursty Dynamics

Prediction of COVID-19 spreading profiles in South Korea, Italy and Iran by data-driven coding

Short-term PM2.5 Forecasting with a Hybrid Model Based on Ensemble GRU Neural Network

A Model for Growth of Markets of Products or Services Having Hierarchical Dependence

A Novel Algorithm for Estimating Purchase Incentive of the Public Based on Mobile Cloud Computing

Application of big data to cities in the United States

A Study of The Growth of The Amount of Meteorological Observation Sites over 200 Years

Daily Rainfall Data Construction and Application to Weather Prediction

Indefinite Kernels in One-Class Support Vector Machine and its Application on Virtual Screening

Modelling for Dynamic Growth of User Population of Products and Services

Movie box office prediction based on ensemble learning

Prediction of Daily Precipitation Based on Deep Learning and Broad Learning Techniques

A model for collective behaviour propagation: a case study of video game industry

An Empirical Investigation on Movie Industry from 1980 to 2018

A Novel Emergency Healthcare System for Elderly Community in Outdoor Environment

Impulse Weibull distribution for daily precipitation and climate change in China during 1961–2011