[HTML][HTML] Multivariate time-series forecasting: A review of deep learning methods in internet of things applications to smart cities

V Papastefanopoulos, P Linardatos… - Smart Cities, 2023 - mdpi.com
Smart cities are urban areas that utilize digital solutions to enhance the efficiency of
conventional networks and services for sustainable growth, optimized resource …

Empirical assessment of transformer-based neural network architecture in forecasting pollution trends

P Nath, AI Middya, S Roy - International Journal of Data Science and …, 2023 - Springer
With rising pollution concerns in recent times, producing refined and accurate predictions as
a part of United Nations Sustainable Development Goals 11 (sustainable cities and …

Air Quality Index Prediction Based on CNN-LSTM-Attention Hybrid Modeling

Y Li, T Jiang, H Gu, W Lu, Q Wu… - … Conference on the …, 2023 - ieeexplore.ieee.org
Air Quality Index (AQI) is an important indicator for determining good or bad air quality. The
accurate and efficient prediction of AQI plays a positive role in promoting the management of …