A Hybrid LSTM-DBN Approach for Automatic Epileptic Seizure Detection compared with Normal...

Multi-Modal Lightweight Deep Learning Model for Typhoon Prediction

B You, J Qin, Y Xu, Y Liu, Y Wu, S Pan - Proceedings of the 2023 …, 2023 - dl.acm.org
This research proposes a multimodal deep learning model (VIT-DBN) to enhance typhoon
forecasting capabilities. Traditional machine learning methods relying on unimodal data …
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Automated Classification of Epileptic Seizures from EEG Signals Using Deep Neural Network

VVVB Sree, VU Maheswari - 2023 International Conference on …, 2023 - ieeexplore.ieee.org
Seizures are caused by the chronic brain condition epilepsy. Epilepsy syndromes come in a
variety of forms, each with their own distinctive features. The electroencephalogram (EEG) …
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[PDF] journlra.org

IMPROVE HUMAN SEIZURE DETECTION ACCURACY USING A HYBRID MODEL INVOLVING RESNET50 AND SUPPORT VECTOR MACHINES

P Dhar, VK Garg - Journal of Research Administration, 2023 - journlra.org
The term improve human seizure detection refers to the creation and application of cutting-
edge, reliable, and effective techniques, technologies, or systems that improve the capacity …
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