Forecasting Fine-Grained Air Quality Based on Big Data

No abstract is available for this paper.

• Publication year

  2015

• Venue

  Knowledge Discovery and Data Mining

• Publication date

  2015-08-10

• Fields of study

  Computer Science, Environmental Science

• Identifiers
  DOI 10.1145/2783258.2788573
• External record

  Open on Semantic Scholar

• Source metadata

  Semantic Scholar

• No claims are published for this paper.

• No concepts are published for this paper.

• Inferring Air Quality for Station Location Recommendation Based on Urban Big Data

  2015cited by this paper
• Real time air quality forecasting using integrated parametric and non-parametric regression techniques

  2015cited by this paper
• A Cloud-Based Knowledge Discovery System for Monitoring Fine-Grained Air Quality

  2014cited by this paper
• Urban Computing: Concepts, Methodologies, and Applications

  2014cited by this paper
• Inferring gas consumption and pollution emission of vehicles throughout a city

  2014cited by this paper
• U-Air: when urban air quality inference meets big data

  2013cited by this paper
• Real-time air quality forecasting, part II: State of the science, current research needs, and future prospects

  2012cited by this paper
• Real-time air quality forecasting, part I: History, techniques, and current status

  2012cited by this paper
• Modelling air quality in street canyons : a review

  2003cited by this paper
• An Introduction to Classification and Regression Tree (CART) Analysis

  2000cited by this paper
• Guideline for developing an ozone forecasting program

  1999cited by this paper
• CART Decision-Tree Statistical Analysis and Prediction of Summer Season Maximum Surface Ozone for the Vancouver, Montreal, and Atlantic Regions of Canada

  1995cited by this paper

• Decomposing urban spatial rhythms: A big-small data fusion framework for activity pattern identification

  2026cites this paper
• FTE-GCNGRU: PM2.5 prediction integrating station importance and spatiotemporal deep learning model under multi-layer air quality network

  2026cites this paper
• From Observations to States: Latent Time Series Forecasting

  2026cites this paper
• Dynamic temporal fusion graph neural network for spatio-temporal air quality inference

  2026cites this paper
• RFDR: a retransmission-free data reconstruction framework for emergency response networks

  2026cites this paper
• A Hybrid Time–Frequency-Domain-Enhanced iTransformer for Temporal Carbon Emission Prediction

  2026cites this paper
• Air Quality Index Forecasting via Bi-LSTM

  2025cites this paper
• STContext: A Multifaceted Dataset for Developing Context-aware Spatio-temporal Crowd Mobility Prediction Models

  2025influential citation
• CSCN: an efficient snapshot ensemble learning based sparse transformer model for long-range spatial-temporal traffic flow prediction

  2025cites this paper
• A Multi-scale Representation Learning Framework for Long-Term Time Series Forecasting

  2025cites this paper
• Adapting to the stream: an instance-attention GNN method for irregular multivariate time series data

  2025cites this paper
• AQI prediction for dry climate: A case study of Quetta City using ensemble learning

  2025cites this paper
• Multi-scale dynamic graph neural network for PM2.5 concentration prediction in regional station cluster

  2025cites this paper
• High-Precision Air Quality Prediction via Attention-Driven Hybrid Neural Networks and Adaptive Feature Optimization

  2025cites this paper
• Domain perceptive-pruning and fine-tuning the pre-trained model for heterogeneous transfer learning in cross domain prediction

  2025cites this paper
• Position: Graph Learning Will Lose Relevance Due To Poor Benchmarks

  2025cites this paper
• Deep learning approach of PM10 forecasting using time series analysis

  2025cites this paper
• Joint Neural Matrix Completion for Multi-Attribute Mobile Crowd Sensing

  2025cites this paper
• Adversarial Transfer Learning‐Based Hybrid Recurrent Network for Air Quality Prediction

  2025cites this paper
• Zero-Shot Time Series Forecasting with Covariates via In-Context Learning

  2025cites this paper
• Virtual-Real Spatial-Temporal Dual Layer Transformer for virtual sensor state perception

  2025cites this paper
• PolluSenseCheck: Cost Effective TinyML-based Air Quality Monitoring System with In-Built Sensor Fault Detection

  2025cites this paper
• Double-Diffusion: Diffusion Conditioned Diffusion Probabilistic Model For Air Quality Prediction

  2025cites this paper
• WOA-STMamba: A Spatiotemporal Mamba Model Enhanced by Whale Optimization for Short-Term PM2.5 Concentration Prediction

  2025cites this paper
• SearchLight: Neural Architecture Search for Lightweight Spatio-Temporal Graph Neural Networks

  2025influential citation
• PM2.5 Concentration Prediction in the Cities of China Using Multi-Scale Feature Learning Networks and Transformer Framework

  2025cites this paper
• SSMGNN: Spectral temporal graph neural network with state space models for multivariate time-series forecasting

  2025cites this paper
• A federated learning framework for arbitrary spatio-temporal graph neural networks

  2025cites this paper
• Multi-modal Spatio-temporal Forecasting in Sensor-less Regions: A Dual-stage Graph Approach from Disease to Crime

  2025cites this paper
• Patched Forecasting with Gumbel-Based Selector for Sparse Mobile Crowd Sensing

  2025cites this paper
• Graph signal processing meets machine learning: Multi-scale spatial-temporal ensemble learning methodology for air quality forecasting

  2025cites this paper
• Benchmarking Hybrid Deep Learning Models for Early Weather Prediction

  2025cites this paper
• AirRadar: Inferring Nationwide Air Quality in China with Deep Neural Networks

  2025cites this paper
• High Rank Matrix Completion with Adaptive Neighbor Graphs

  2025cites this paper
• DCANet: Dual-Path Complementary Attention Network for Multivariate Time Series Forecasting

  2025cites this paper
• Hybrid graph convolutional networks for air quality prediction: a systematic review of foundations, challenges, and opportunities

  2025cites this paper
• AIGR-LSTM: Land Surface Temperature Interpolation Using Adaptive Inductive Graph Representation Learning

  2025cites this paper
• Unlocking the Potential of Linear Networks for Irregular Multivariate Time Series Forecasting

  2025cites this paper
• Smart Air Quality Monitoring and Prediction System With Data-driven Insights

  2025cites this paper
• Learning with Calibration: Exploring Test-Time Computing of Spatio-Temporal Forecasting

  2025cites this paper
• TSGGuide: Recommendation Guide for Multivariate Time Series Generation

  2025cites this paper
• Estimating Missing Data in Wireless Sensor Network Through Spatial-Temporal Correlation

  2025cites this paper
• DFCon: Dominant frequency enhanced ultra-long time series contrastive forecasting

  2025cites this paper
• Prediction for Sensor-Less Locations Using Multi-View Graph Fusion Approach with Approximation Module: A Case Study on Dengue Fever Risk Sensor

  2025cites this paper
• Self-Optimizing Teacher and Auto-Matching Student Framework for Change-Point Representation Learning in Time Series Forecasting

  2025cites this paper
• Inductive Spatio-Temporal Kriging with Physics-Guided Increment Training Strategy for Air Quality Inference

  2025cites this paper
• AFMD: attention fusion-based multiscale decomposition network

  2025cites this paper
• Relational Conformal Prediction for Correlated Time Series

  2025cites this paper
• A dual-layer state space network for Multivariate Time Series Forecasting with dimensional interdependency

  2025cites this paper
• Long-Term, Multivariate Time Series Generation With the Capture of Intervariate Correlations and Variatewise Characteristics

  2025cites this paper
• Enhanced Weather Forecasting Using Time-Series and Image Sequence Fusion with LSTM and MobileNetV2

  2025cites this paper
• An Architecture and Realisation of a Smart City Digital Twin With eHealth Case Studies

  2025cites this paper
• Fusing Cross-Domain Knowledge from Multimodal Data to Solve Problems in the Physical World

  2025cites this paper
• Revisiting Multivariate Time Series Forecasting with Missing Values

  2025cites this paper
• Dynamic prediction of multisensor gas concentration in semi-closed spaces: A unified spatiotemporal inter-dependencies approach

  2025cites this paper
• Gumbel-Based Active Sparse Mobile Crowd Sensing with Time Series Transformer

  2025cites this paper
• Connecting the Indispensable Roles of IoT and Artificial Intelligence in Smart Cities: A Survey

  2024cites this paper
• A Neural Network Approach for Predicting Air Quality Forecasting in Smart Cities Based on ST-LSTM Technique

  2024cites this paper
• Spatial-temporal Forecasting for Regions without Observations

  2024cites this paper
• On the Regularization of Learnable Embeddings for Time Series Processing

  2024influential citation
• Unified Training of Universal Time Series Forecasting Transformers

  2024cites this paper
• EMD-based ultraviolet radiation prediction for sport events recommendation with environmental constraint

  2024cites this paper
• Rethinking the Power of Timestamps for Robust Time Series Forecasting: A Global-Local Fusion Perspective

  2024cites this paper
• MTAGCN: Mixed Temporal Adaptive GCN for Air Pollution Prediction

  2024cites this paper
• Spatiotemporal Fracture Data Inference in Sparse Mobile Crowdsensing: A Graph- and Attention-Based Approach

  2024cites this paper
• NRFormer: Nationwide Nuclear Radiation Forecasting with Spatio-Temporal Transformer

  2024cites this paper
• Timer: Generative Pre-trained Transformers Are Large Time Series Models

  2024cites this paper
• A Deep Learning PM2.5 Hybrid Prediction Model Based on Clustering–Secondary Decomposition Strategy

  2024cites this paper
• A Novel Transformer Architecture for Time Series Forecasting: Integrating DP Block and Sequence Slicing Attention

  2024cites this paper
• Deep Multimodal Learning with Missing Modality: A Survey

  2024cites this paper
• ReCTSi: Resource-efficient Correlated Time Series Imputation via Decoupled Pattern Learning and Completeness-aware Attentions

  2024cites this paper
• Enhancing Kriging with Inductive Spatio-Temporal GraphODE

  2024cites this paper
• Spatio-temporal patterns assisted deep learning model for PM2.5 prediction (STEEP)

  2024cites this paper
• A novel synchronous spatio-temporal relationship network for geographical-related time-spatial series forecasting

  2024cites this paper
• Scaling Up Multivariate Time Series Pre-Training with Decoupled Spatial-Temporal Representations

  2024cites this paper
• Air Quality Index Prediction Using GCN + LSTM Model

  2024cites this paper
• Spatiotemporal predictions of toxic urban plumes using deep learning

  2024cites this paper
• Long-term Prediction Method for PM2.5 Concentration Using Edge Channel Graph Attention Network and Gating Closed-form Continuous-time Neural Networks

  2024cites this paper
• Spatiotemporal Forecasting Meets Efficiency: Causal Graph Process Neural Networks

  2024cites this paper
• Development of an integrated machine learning model to improve the secondary inorganic aerosol simulation over the Beijing–Tianjin–Hebei region

  2024cites this paper
• Rule based Complex Event Processing for an Air Quality Monitoring System in Smart City

  2024cites this paper
• Region-based compressive distributed storage in Mobile CrowdSensing

  2024cites this paper
• Exploring explicit and implicit graph learning for multivariate time series imputation

  2024cites this paper
• Air Quality Index Prediction using Bi-LSTM

  2024cites this paper
• Predicting air quality using a multi-scale spatiotemporal graph attention network

  2024cites this paper
• Prediction of PM2.5 Concentration Based on Deep Learning, Multi-Objective Optimization, and Ensemble Forecast

  2024cites this paper
• Towards Controllable Time Series Generation

  2024cites this paper
• Deep Learning for Cross-Domain Data Fusion in Urban Computing: Taxonomy, Advances, and Outlook

  2024cites this paper
• Air Quality Index Prediction Using DNN-Markov Modeling

  2024cites this paper
• Uncertainty graph convolution recurrent neural network for air quality forecasting

  2024cites this paper
• DeepMeshCity: A Deep Learning Model for Urban Grid Prediction

  2024cites this paper
• Decoupled Invariant Attention Network for Multivariate Time-series Forecasting

  2024cites this paper
• Graph-based Forecasting with Missing Data through Spatiotemporal Downsampling

  2024cites this paper
• Short-term air pollution prediction using graph convolutional neural networks

  2024cites this paper
• Data analysis and preprocessing techniques for air quality prediction: a survey

  2024cites this paper
• Deep Coupling Network for Multivariate Time Series Forecasting

  2024cites this paper
• Attention with Mixture Experts model for Multivariate Time Series Imputation

  2024cites this paper
• UrbanDataLayer: A Unified Data Pipeline for Urban Science

  2024cites this paper
• On the Regularization of Learnable Embeddings for Time Series Forecasting

  2024influential citation
• Enhanced Sequence-to-Sequence Attention-Based PM2.5 Concentration Forecasting Using Spatiotemporal Data

  2024cites this paper