Now showing items 1-3 of 3
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
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
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 ...