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Efficient approach for digitization of the cardiotocography signals
(Elsevıer, 2020)
Cardiotocography (CTG) is generally provided on printed traces, and digitization of CTG signal is important for forthcoming assessments. In this paper, a new algorithm relies on the box-counting method is offered for the ...
An Effective Hybrid Model for EEG-Based Drowsiness Detection
(Ieee-Inst Electrıcal Electronıcs Engıneers Inc, 2019)
Early detection of driver drowsiness and the development of a functioning driver alertness system may support the prevention of numerous vehicular accidents worldwide. Wearable sensors and camera-based systems are generally ...
White Blood Cell Classification Based on Shape and Deep Features
(Ieee, 2019)
Classification of the white blood cells (WBCs) in blood smear images is essential for providing important information to the physicians. In addition, manual analyzing of the blood smear images for determining the various ...
Food Image Classification with Deep Features
(Ieee, 2019)
In this paper, deep feature extraction, feature concatenation and support vector machine (SVM) classifier are used for efficient classification of food images. Classification of foods according to their images becomes a ...
Deep Feature Extraction for Face Liveness Detection
(Ieee, 2018)
Face recognition is now widely being used to verify the identity of the person in various applications ranging from border crossing to mobile authentication. However, most face recognition systems are vulnerable to spoofing ...
Deep Learning based Face Liveness Detection in Videos
(Ieee, 2017)
The human face is an important biometric quantity which can be used to access a user-based system. As human face images can easily be obtained via mobile cameras and social networks, user-based access systems should be ...