Review on environmental aspects in smart city concept: Water, waste, air pollution and transportation smart applications using IoT techniques

Sustainable Cities and Society, Journal Year: 2023, Volume and Issue: 94, P. 104567 - 104567

Published: April 2, 2023

Language: Английский

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Spatially resolved air quality index prediction in megacities with a CNN-Bi-LSTM hybrid framework

Sustainable Cities and Society, Journal Year: 2024, Volume and Issue: 109, P. 105537 - 105537

Published: May 18, 2024

Language: Английский

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Enhancing air pollution mapping with autonomous UAV networks for extended coverage and consistency

Atmospheric Research, Journal Year: 2024, Volume and Issue: 306, P. 107480 - 107480

Published: May 16, 2024

Language: Английский

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An adaptive spatio-temporal graph recurrent network for short-term electric vehicle charging demand prediction

Applied Energy, Journal Year: 2025, Volume and Issue: 383, P. 125320 - 125320

Published: Jan. 27, 2025

Language: Английский

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CC-GAIN: Clustering and classification-based generative adversarial imputation network for missing electricity consumption data imputation

Expert Systems with Applications, Journal Year: 2024, Volume and Issue: 255, P. 124507 - 124507

Published: June 20, 2024

The widespread use of data across various fields has made missing imputation technology a crucial tool. High-quality is essential for effective energy management in smart grid environments, but may be absent during collection. Despite the development techniques electricity consumption data, previous studies have limited efforts to address distinctive characteristics this domain adequately. To overcome limitation, high-performance model must effectively leverage time-series and pattern features data. This study proposes novel based on unsupervised clustering classification-based generative adversarial network(CC-GAIN), which excels classification feature extraction. CC-GAIN demonstrates superior performance all types rates outperforming alternative models.

Language: Английский

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Explainable AI-driven high-fidelity IAQ prediction (HiFi-IAQ) model for subway stations: Spatiotemporal outdoor air quality interpolation using geographic data

Building and Environment, Journal Year: 2024, Volume and Issue: 263, P. 111906 - 111906

Published: July 31, 2024

Language: Английский

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Assessment of a deep learning model for monitoring atmospheric pollution: Case study in Antwerp, Belgium

Sustainable Cities and Society, Journal Year: 2023, Volume and Issue: 99, P. 104951 - 104951

Published: Sept. 25, 2023

Language: Английский

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Graph neural networks for multi-sensor Earth observation

Elsevier eBooks, Journal Year: 2025, Volume and Issue: unknown, P. 211 - 230

Published: Jan. 1, 2025

Language: Английский

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Graph-based spatial-temporal prediction and feature interaction analysis of CO2 and occupant in large indoor space

Building and Environment, Journal Year: 2025, Volume and Issue: unknown, P. 112963 - 112963

Published: April 1, 2025

Language: Английский

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Predicting the Urban Stormwater Drainage System State using the Graph-WaveNet

Sustainable Cities and Society, Journal Year: 2024, Volume and Issue: unknown, P. 105877 - 105877

Published: Oct. 1, 2024

Language: Английский

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