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Integrated Early Flood Prediction using Sentinel-2 Imagery with VANET-MARL-based Deep Neural RNN

by Babu T. Raveena S. Tamilvizhi T. Surendran R.

Floods, Droughts and Water scarcity

Floods are a major contributor to the destruction of infrastructure and the overall economy of afflicted countries, leading to loss of life and significant damage. Remote sensing, satellite imagery photography, global positioning system, and geographic information system (GIS) are commonly used to...

Flood Prediction VANET-MARL +5 more
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Prediction of Land Use and Landcover Changes in Tiruppur Tamilnadu Using Hybrid Convolutional Neural Network

by

K.G. Akshaya et al. View all

Issue 6

Environmental data analysis and modelling

Land use and landcover change (LU/LC) are important in global change studies because they can transform the local and global environment by developing the biochemical, biochemical and biogeographic properties of the Earth's structure. This paper is intended to develop Hybrid Convolutional Neural...

hybrid convolutional neural network remora optimization algorithm +2 more
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Short-Term Prediction of PM2.5 Pollution with Deep Learning Methods

by

Zeynep Cansu Ayturan et al. View all

Issue 1

Air Quality

Particulate matter (PM), classified according to aerodynamic diameter, is one of the harmful pollutants causing health damaging effects. It is considered as cancerogenic by the World Health Organization (WHO) because of the substances found in the chemical composition of PM. In this study, short...

air pollution particulate matter +4 more
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