Recent publications
Multivariate time series weather forecasting model using integrated secondary decomposition and Self-Attentive spatio-temporal learning network
Climate change mitigation and adaptation
Weather forecasting is an essential but complex task because of its substantial influence on human life and advanced atmospheric dynamics. In recent years, deep learning-based techniques have gain high attention for weather forecasting. Nevertheless, current forecasting models ignore the...
Air Pollution Monitoring System using Stacked Attentional Vectormap Convolutional Bidirectional Network with Bobcat Optimization and IoT-Cloud
Air Quality
Air pollution is one of the serious environmental problem that has an impact on ecosystems and human health worldwide. The prediction of air pollution can provide significant information that will permit all parties to take right initiatives. Predicting air quality is considered as a popular...
An intelligent air quality monitoring system using quality indicators and Transfer learning based Lightweight recurrent network with skip connection
Air Quality
Rapid industrialization and urbanization have resulted in poor air quality, which poses a risk to human health by causing a variety of lung diseases. The precise forecast of air quality is of practical importance. Consequently, the development of an automated air pollution monitoring system based on...