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A Generative Model to Synthesize EEG Data for Epileptic Seizure Prediction
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Institute of Electrical and Electronics Engineers Inc.
, 2021 , Article)
Objective: Scarcity of good quality electroencephalography (EEG) data is one of the roadblocks for accurate seizure prediction. This work proposes a deep convolutional generative adversarial network (DCGAN) to generate ...
Collaborative Federated Learning for Healthcare: Multi-Modal COVID-19 Diagnosis at the Edge
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Institute of Electrical and Electronics Engineers Inc.
, 2022 , Article)
Despite significant improvements over the last few years, cloud-based healthcare applications continue to suffer from poor adoption due to their limitations in meeting stringent security, privacy, and quality of service ...
Machine Learning Techniques for Detecting Attackers during Quantum Key Distribution in IoT Networks with Application to Railway Scenarios
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Institute of Electrical and Electronics Engineers Inc.
, 2021 , Article)
Internet of Things (IoT) deployments face significant security challenges due to the limited energy and computational power of IoT devices. These challenges are more serious in the quantum communications era, where certain ...
AGEomics Biomarkers and Machine Learning—Realizing the Potential of Protein Glycation in Clinical Diagnostics
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Multidisciplinary Digital Publishing Institute (MDPI)
, 2022 , Article)
Protein damage by glycation, oxidation and nitration is a continuous process in the physiological system caused by reactive metabolites associated with dicarbonyl stress, oxidative stress and nitrative stress, respectively. ...