[HTML][HTML] Artificial neural network an innovative approach in air pollutant prediction for environmental applications: A review
Air pollution in the environment is growing daily as a result of urbanization and population
growth, which causes numerous health issues. Information about air quality and …
growth, which causes numerous health issues. Information about air quality and …
Enhancing tuberculosis vaccine development: a deconvolution neural network approach for multi-epitope prediction
Tuberculosis (TB) a disease caused by Mycobacterium tuberculosis (Mtb) poses a
significant threat to human life, and current BCG vaccinations only provide sporadic …
significant threat to human life, and current BCG vaccinations only provide sporadic …
[PDF][PDF] Prediction of PM 2.5 Concentration Based on Deep Learning for High-Dimensional Time Series.
J Hu, Y Jia, ZH Jia, CB He, F Shi… - … Sciences (2076-3417 …, 2024 - pdfs.semanticscholar.org
PM2. 5 poses a serious threat to human life and health, so the accurate prediction of PM2. 5
concentration is essential for controlling air pollution. However, previous studies lacked the …
concentration is essential for controlling air pollution. However, previous studies lacked the …
Dynamic synchronous graph transformer network for region-level air-quality forecasting
H **a, X Chen, B Chen, Y Hu - Neurocomputing, 2025 - Elsevier
Accurate forecasting of air quality aids in mitigating air pollution, enhancing the well-being of
residents, and supporting the city's sustainable growth. Recent works have utilized graph …
residents, and supporting the city's sustainable growth. Recent works have utilized graph …
[HTML][HTML] Comparative Analysis of Multiple Deep Learning Models for Forecasting Monthly Ambient PM2.5 Concentrations: A Case Study in Dezhou City, China
Z He, Q Guo - Atmosphere, 2024 - mdpi.com
Ambient air pollution affects human health, vegetative growth and sustainable socio-
economic development. Therefore, air pollution data in Dezhou City in China are collected …
economic development. Therefore, air pollution data in Dezhou City in China are collected …
A spatiotemporal deep learning ensemble for multi-step PM2. 5 prediction: A case study of Bangkok metropolitan region in Thailand
V Kaewbundit, C Churngam… - Atmospheric Pollution …, 2025 - Elsevier
PM 2.5 air pollution poses a global health and environmental crisis, with major impacts on
human health, ecosystems, and climate change. Thailand, like many regions worldwide …
human health, ecosystems, and climate change. Thailand, like many regions worldwide …
Incorporating the Third Law of Geography with Spatial Attention Module–Convolutional Neural Network–Transformer for Fine-Grained Non-Stationary Air Quality …
S Lin, Y Zhang, X Liu, Q Mei, X Zhi, X Fei - Mathematics, 2024 - mdpi.com
Accurate air quality prediction is paramount in safeguarding public health and addressing
air pollution control. However, previous studies often ignore the geographic similarity among …
air pollution control. However, previous studies often ignore the geographic similarity among …
A Nonlinear Method for time series forecasting using VMD-GARCH-LSTM model
Z Gui, H Li, S Xu, Y Chen - arxiv preprint arxiv:2310.08812, 2023 - arxiv.org
Time series forecasting represents a significant and challenging task across various fields.
Recently, methods based on mode decomposition have dominated the forecasting of …
Recently, methods based on mode decomposition have dominated the forecasting of …
[PDF][PDF] Results in Engineering
As radio access technologies, processing speeds, and multimode interfaces of low-powered
portable devices continue to advance, the future of wireless communication is envisioned to …
portable devices continue to advance, the future of wireless communication is envisioned to …