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Open access Sep 2026

Hybrid Deep Learning Framework for Landslide Risk Prediction Using Meteorological and Geospatial Parameters

Landslide prediction plays an important role in disaster risk reduction and protecting infrastructure and human lives when performed accurately and in a timely manner. Despite good performance, machine learning techniques are hindered by severe class imbalance in landslide datasets and the opacity of complex predictive...

Mohsin Hassan, A. Kotwal, J. Manhas et al. · 0 citations
Open access Sep 2026

Attention-augmented CNN-LSTM framework for EEG-based spatiotemporal emotion recognition

EEG emotion recognition offers a direct path to the analysis of affective brain states. This work presents an attention-enhanced CNN-LSTM model for emotion recognition from EEG in the SEED benchmark dataset (three classes: positive, neutral, negative). The suggested method combines Power Spectral Density (PSD), Differe...

A. Kotwal, Kush Sharma, J. Manhas · 0 citations

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