Recent publications
Weather Forecasting model using Attentive Residual Gated Recurrent Unit for urban flood Prediction
Hydrology and Water Resources Management
Flood forecasting is significant for hydrology and disaster management due to the complex and nonlinear nature of flood-related data. There are several conventional forecasting methods often failed to effectively capture both spatial and temporal dependencies that leads to inaccurate predictions. In...
Multivariate time series weather forecasting model using integrated secondary decomposition and Self-Attentive spatio-temporal learning network
Climate change
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 pollution and health
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...
Air Pollution Prediction using Attention Module With CNN -OptBiLSTM
Air pollution and health
Predicting air pollution using environmental data assessment parameters becomes increasingly significant amid growing fears about climate change and the sustainability of urban areas. The use of sophisticated deep learning (DL) methods to model the intricate relation among these variables represents...
An intelligent air quality monitoring system using quality indicators and Transfer learning based Lightweight recurrent network with skip connection
Air pollution and health
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...