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Titlebook: Artificial Intelligence and Sustainable Computing; Proceedings of ICSIS Manjaree Pandit,M. K. Gaur,Sandeep Kumar Conference proceedings 202

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Improving Right Ventricle Contouring in Cardiac MR Images Using Integrated Approach for Small Datasarious deep techniques. Cardiac imaging is a very useful modality to evaluate functional analysis of the right ventricle. We propose an integrated model with the learning approach and Active Contour Method in this paper. We have customized UNet architecture on the basis of performance parameters suc
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,Dokumentation des Gebäudebestands,ifier in which three input and one output dense layers. Classification Accuracy is around 98%, sensitivity 96% with classification time 6 s using Adam Optimizer proved to be an efficient method for detection of Epileptic seizures on the given raw EEG datasets without preprocessing.
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A Deep Learning Based Neural Network for Detection of Epileptic Seizure,ifier in which three input and one output dense layers. Classification Accuracy is around 98%, sensitivity 96% with classification time 6 s using Adam Optimizer proved to be an efficient method for detection of Epileptic seizures on the given raw EEG datasets without preprocessing.
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