عنوان البحث | ملخص البحث | Research Abstract |
Detection of abnormal heart conditions based on characteristics of ECG signals | | Heart diseases are one of the most important death causes across the globe. Therefore, early detection of heart diseases is crucial to reduce the rising death rate. |
Multimodal Biometric Authentication Systems Using Convolution Neural Network Based on Different Level Fusion of ECG and Fingerprint | | |
Very deep feature extraction and fusion for arrhythmias detection | | |
Parallel score fusion of ECG and fingerprint for human authentication based on convolution neural network | | |
Cancelable biometric authentication system based on ECG | | |
Fingerprint Classification Based on a Q-Gaussian Multi-class Support Vector Machine | | |
Ear verification based on a novel local feature extraction | | |
A Novel Deep Transfer Learning Method for Detection of Myocardial Infarction | | |
A Novel Biometric Based on ECG Signals and Images for Human Authentication | | |
A novel two-dimensional ECG feature extraction and classification algorithm based on convolution neural network for human authentication | | |
Detection of abnormal heart conditions from the analysis of ECG signals | | |
An Effective Minimal Probing Approach With Micro-Cluster for Distance-Based Outlier Detection in Data Streams | | |
Progress in Outlier Detection Techniques: A Survey | | |
A Novel Approach for Maternal and Fetal R- Peaks Detection | | |
Detection of myocardial infarction based on novel deep transfer learning methods for urban healthcare in smart cities | | |
Deploying machine and deep learning models for efficient data-augmented detection of COVID-19 infections
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Development of novel ensemble model using stacking learning and evolutionary computation techniques for automated hepatocellular carcinoma detection
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A multitier deep learning model for arrhythmia detection
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Secure and Optimized Load Balancing for Multitier IoT and Edge-Cloud Computing Systems
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Myocardial infarction detection based on deep neural network on imbalanced data
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Efficient deep learning approach for augmented detection of Coronavirus disease
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Development of accurate classification of heavenly bodies using novel machine learning techniques
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Automated detection of Shockable ECG signals: A Review
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Deep Learning Modalities for Biometric Alteration Detection in 5G Networks-Based Secure Smart Cities
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ResNet‐Attention model for human authentication using ECG signals
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A Multi-fusion IoT Authentication System Based on Internal Deep Fusion of ECG Signals
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