Topics the user published in | Global NEST Journal

Hydrology and Water Resources Management

Weather Forecasting model using Attentive Residual Gated Recurrent Unit for urban flood Prediction

by BalajiK Vivek .R Sugumar .R Mahendran .P Subramanian

Issue 5

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...

Flood Forecasting Attention mechanism +3 more

Multivariate time series weather forecasting model using integrated secondary decomposition and Self-Attentive spatio-temporal learning network

by Nirmal Kumar M, Subramanian P, Surendran R,

Issue 4

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...

Weather Forecasting spatio-temporal learning +3 more

Air pollution monitoring system using stacked attentional vectormap convolutional bidirectional network with bobcat optimization and IoT-cloud

by Prajul Mohandas Subramanian P, Surendran Rajendran

Issue 3

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 Internet of Things +4 more

An intelligent air quality monitoring system using quality indicators and Transfer learning based Lightweight recurrent network with skip connection

Subramanian P et al. View all

Issue 5

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...

air quality Deep learning +3 more