( en | de | ru )

 

Disambiguation of "Hofman, Jelle"

Author of the publication

copydeleteadd this publication to your clipboard
Spatiotemporal air quality inference of low-cost sensor data: Evidence from multiple sensor testbeds.

, , , , , , and . Environ. Model. Softw., (2022)

Please choose a person to relate this publication to

To differ between persons with the same name, the academic degree and the title of an important publication will be displayed. You can also use the button next to the name to display some publications already assigned to the person.

Rijcklof Hofman

Helga Hofman

Wolfgang Franz Jellen

Herbert Jellen

Jelle Stegeman

 

Other publications of authors with the same name

Explaining Graph Neural Networks With Topology-Aware Node Selection: Application in Air Quality Inference., , , , , , and . IEEE Trans. Signal Inf. Process. over Networks, (2022)Fine-Grained Urban Air Quality Mapping from Sparse Mobile Air Pollution Measurements and Dense Traffic Density., , , , , , and . Remote. Sens., 14 (11): 2613 (2022)The Air Quality Paradigm inside Car Microenvironments; Balancing between PM2.5 and CO2 Offsets., and . IEEE SENSORS, page 1-4. IEEE, (2020)Spatiotemporal Air Quality Inference of Low-Cost Sensor Data; Application on a Cycling Monitoring Network., , , , , , , and . ICPR Workshops (6), volume 12666 of Lecture Notes in Computer Science, page 139-147. Springer, (2020)Mapping Air Quality in IoT Cities: Cloud Calibration and Air Quality Inference of Sensor Data., , , , , , , and . IEEE SENSORS, page 1-4. IEEE, (2020)Context-Based Analysis of Urban Air Quality Using an Opportunistic Mobile Sensor Network., , , , , , , and . SmartCity360°, volume 323 of Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, page 285-300. Springer, (2019)Graph-Deep-Learning-Based Inference of Fine-Grained Air Quality From Mobile IoT Sensors., , , , , , and . IEEE Internet Things J., 7 (9): 8943-8955 (2020)Spatiotemporal air quality inference of low-cost sensor data: Evidence from multiple sensor testbeds., , , , , , and . Environ. Model. Softw., (2022)Street-level Air Quality Inference Based on Geographically Context-aware Random Forest Using Opportunistic Mobile Sensor Network., , , , , , and . ICIAI, page 221-227. ACM, (2021)Conditional Variational Graph Autoencoder for Air Quality Forecasting., , , , , , and . EUSIPCO, page 1442-1446. IEEE, (2022)