Air Quality Prediction in Smart Cities Using Machine Learning Technologies Based on Sensor Data: A Review von Iskandaryan, Ditsuhi, Ramos, Francisco, Trilles, Sergio

Volltext

Bidirectional convolutional LSTM for the prediction of nitrogen dioxide in the city of Madrid von Iskandaryan, Ditsuhi, Ramos, Francisco, Trilles, Sergio

Volltext

Graph Neural Network for Air Quality Prediction: A Case Study in Madrid von Iskandaryan, Ditsuhi, Ramos, Francisco, Trilles, Sergio

Volltext

Reconstructing secondary data based on air quality, meteorological and traffic data considering spatiotemporal components von Iskandaryan, Ditsuhi, Ramos, Francisco, Trilles, Sergio

Volltext

Features Exploration from Datasets Vision in Air Quality Prediction Domain von Iskandaryan, Ditsuhi, Ramos, Francisco, Trilles, Sergio

Volltext

The Effect of Weather in Soccer Results: An Approach Using Machine Learning Techniques von Iskandaryan, Ditsuhi, Ramos, Francisco, Palinggi, Denny Asarias, Trilles, Sergio

Volltext

Anomaly detection based on Artificial Intelligence of Things: A Systematic Literature Mapping von Trilles, Sergio, Hammad, Sahibzada Saadoon, Iskandaryan, Ditsuhi

Volltext

An unsupervised TinyML approach applied to the detection of urban noise anomalies under the smart cities environment von Hammad, Sahibzada Saadoon, Iskandaryan, Ditsuhi, Trilles, Sergio

Volltext

Study and Prediction of Air Quality in Smart Cities through Machine Learning Techniques Considering Spatiotemporal Components von Iskandaryan, Ditsuhi

Volltext bestellen

Anomaly detection based on Artificial Intelligence of Things: A Systematic Literature Mapping von Trilles, Sergio, Hammad, Sahibzada Saadoon, Iskandaryan, Ditsuhi

Volltext

A set of deep learning algorithms for air quality prediction applications von Iskandaryan, Ditsuhi, Ramos, Francisco, Trilles, Sergio

Volltext

An unsupervised TinyML approach applied to the detection of urban noise anomalies under the smart cities environment von Hammad, Sahibzada Saadoon, Iskandaryan, Ditsuhi, Trilles, Sergio

Volltext

Bidirectional convolutional LSTM for the prediction of nitrogen dioxide in the city of Madrid von Ditsuhi Iskandaryan, Francisco Ramos, Sergio Trilles

Volltext

Spatiotemporal Prediction of Nitrogen Dioxide Based on Graph Neural Networks von Iskandaryan, Ditsuhi, Ramos, Francisco, Trilles, Sergio

Volltext

Madrid datasets von Iskandaryan, Ditsuhi

Volltext bestellen

Supplementary Materials for 'Spatiotemporal Prediction of Air Quality Using Machine Learning Techniques' von Iskandaryan, Ditsuhi, Ramos, Francisco, Trilles, Sergio

Volltext bestellen

Madrid datasets (air quality, meteorological and traffic data) of 2019 and 2022 von Iskandaryan, Ditsuhi, Ramos, Francisco, Trilles, Sergio

Volltext bestellen

Madrid datasets (air quality, meteorological and traffic data) von Iskandaryan, Ditsuhi, Ramos, Francisco, Trilles, Sergio

Volltext bestellen

Madrid dataset von Iskandaryan, Ditsuhi, Ramos, Francisco, Trilles, Sergio

Volltext bestellen

Chapter 2 - Application of deep learning and machine learning in air quality modeling von Iskandaryan, Ditsuhi, Ramos, Francisco, Trilles, Sergio

Volltext