Instruct: Given the title of a scientific paper, retrieve paper titles that are cited by the given paper
Query: Granger-Causality-based air quality estimation with spatio-temporal (S-T) heterogeneous big data
U-Air: when urban air quality inference meets big data
AirNet: a machine learning dataset for air quality forecasting
Estimating Regional Spatial and Temporal Variability of PM2.5 Concentrations Using Satellite Data, Meteorology, and Land Use Information
Deep Air : Forecasting Air Pollution in Beijing , China
Semantic Data Layers in Air Quality Monitoring for Smarter Cities
A Visualization Approach to Air Pollution Data Exploration—A Case Study of Air Quality Index (PM2.5) in Beijing, China
Urban Air Pollution Monitoring System With Forecasting Models
Mining PM2.5 and traffic conditions for air quality
A Cloud-Based Knowledge Discovery System for Monitoring Fine-Grained Air Quality
Ontologies for the Integration of Air Quality Models and 3D City Models
Deep Distributed Fusion Network for Air Quality Prediction
Granger Causality Networks for Categorical Time Series
Spatio-temporal Data Mining for Climate Data: Advances, Challenges, and Opportunities
Cloud enabled air quality detection, analysis and prediction - A smart city application for smart health
Learning Spatial-Temporal Varying Graphs with Applications to Climate Data Analysis
High Resolution Air Pollution Maps in Urban Environments Using Mobile Sensor Networks
Deriving high-resolution urban air pollution maps using mobile sensor nodes
Correlation Analysis of Spatial Time Series Datasets: A Filter-and-Refine Approach
Air pollution monitoring and prediction using IoT
Towards air quality indices in smart cities by calibrated low-cost sensors applied to networks
ISB recommendation on definitions of joint coordinate systems of various joints for the reporting of human joint motion--Part II: shoulder, elbow, wrist and hand.
Automatic 3D Indoor Scene Modeling from Single Panorama
A Logit Model of Brand Choice Calibrated on Scanner Data
Does Pretend Play Matter? Searching for Evidence: Comment on Lillard et al. (2013)
Wireless Sensor Networks for Environmental Noise Monitoring