Instruct: Given the title of a paper, retrieve paper titles that are cited by the given paper.
Query: A Cloud-Based Knowledge Discovery System for Monitoring Fine-Grained Air Quality
U-Air: when urban air quality inference meets big data
A process of knowledge discovery from web log data: Systematization and critical review
Resource-aware Knowledge Discovery in Data Streams
Ontologies for the Integration of Air Quality Models and 3D City Models
Mining PM2.5 and traffic conditions for air quality
HazeEst: Machine Learning Based Metropolitan Air Pollution Estimation From Fixed and Mobile Sensors
Deriving high-resolution urban air pollution maps using mobile sensor nodes
inAir: measuring and visualizing indoor air quality
An online air pollution forecasting system using neural networks
Smart vehicle monitoring system for air pollution detection using Wsn
On detecting acceptable air contamination in classrooms using low cost sensors
An Overview of Small Unmanned Aerial Vehicles for Air Quality Measurements: Present Applications and Future Prospectives
Integration of CityGML and air quality spatio-temporal data series via OGC SOS
Expanded cloud plumes hiding Big Data ecosystem
Cloud computing based smart garbage monitoring system
AirNet: a machine learning dataset for air quality forecasting
Enhancing measurement quality through active sampling in mobile air quality monitoring sensor networks
A taxonomy of grid monitoring systems
Design Principles for Effective Knowledge Discovery from Big Data
Continuous queries over distributed streams of heterogeneous monitoring data in cloud datacenters
Discovering Endophenotypes for Major Depression
Development of joint torque sensor applied to compensate crosstalk error
A multi-scale fusion convolutional neural network for face detection
A comparison of event models for Naive Bayes text classification
Man vs. computer: benchmarking machine learning algorithms for traffic sign recognition.