Search Results - "S, Syed Rafiammal"
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A Low Power and High Performance Hardware Design for Automatic Epilepsy Seizure Detection
Published in International Journal of Electronics and Telecommunications (01-01-2019)“…An application specific integrated design using Quadrature Linear Discriminant Analysis is proposed for automatic detection of normal and epilepsy seizure…”
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Journal Article -
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An approach of polyp segmentation from colonoscopy images using Dilated-U-Net-Seg – A deep learning network
Published in Biomedical signal processing and control (01-07-2024)“…[Display omitted] •Dilated convolution layers, additional encoder and decoder stages are added to the U-Net architecture for polyp segmentation.•A wide range…”
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Journal Article -
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Detection of Epilepsy Seizure in Adults Using Discrete Wavelet Transform and Cluster Nearest Neighborhood Classifier
Published in Iranian journal of science and technology. Transactions of electrical engineering (01-12-2021)“…Seizure detection from EEG signal plays important role in diagnosing and treating the Epilepsy disease. Development of Low complexity detection algorithms is…”
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Journal Article -
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Enhancing Colonoscopy Image Resolution Employing Scaling and Interpolation
Published in 2024 Advances in Science and Engineering Technology International Conferences (ASET) (03-06-2024)“…Colonoscopy is an important diagnostic tool in the field of medicine, allowing for a thorough examination of the colon's interior and the critical detection of…”
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Conference Proceeding -
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A Low Power and High Performance Hardware Design for Automatic Epilepsy Seizure Detection
Published in International Journal of Electronics and Telecommunications (10-09-2019)Get full text
Journal Article -
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Effect of U-Net Hyperparameter Optimisation in Polyp Segmentation from Colonoscopy Images
Published in 2022 Third International Conference on Intelligent Computing Instrumentation and Control Technologies (ICICICT) (11-08-2022)“…Colorectal cancer can be detected from the location of polyps present in the colon. Colonoscopy is the standard method for polyp detection from where the…”
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Conference Proceeding