YÖKSİS Makale Veritabanı

Computer-Aided Multiclass Classification of Corn from Corn Images Integrating Deep Feature Extraction

Deep learning and evolutionary intelligence with fusion-based feature extraction for classification of wheat varieties

Comparative Analysis of Deep Learning-Based Feature Extraction and Traditional Classification Approaches for Tomato Disease Detection

Rotor fault characterization study by considering normalization analysis, feature extraction, and a multi-class classifier

Deep learning and evolutionary intelligence with fusion-based feature extraction for classification of wheat varieties

A Multi-Feature Extraction and Selection Framework for High-Accuracy Surface Defect Classification in Industrial Casting Parts

Comparative Analysis of Deep Learning-Based Feature Extraction and Traditional Classification Approaches for Tomato Disease Detection

Spectral feature extraction of EEG signals and pattern recognition during mental tasks of 2 D cursor movements for BCI using SVM and ANN

Hybrid Deep Feature Extraction and Ensemble Machine Learning for Potato Leaf Disease Classification in Uncontrolled Field Conditions

Multi channel EEG signal feature extraction and pattern recognition on horizontal mental imagination task of 1 D cursor movement for brain computer interface

Hybrid-Patch-Alex: A new patch division and deep feature extraction-based image classification model to detect COVID-19, heart failure, and other lung conditions using medical images

Extraction of Road Lane Markings from Mobile LiDAR Data

GENETIC ALGORITHM BASED FEATURE SELECTION LEVEL FUSION USING FINGERPRINT AND IRIS BIOMETRICS

GENETIC ALGORITHM BASED FEATURE SELECTION LEVEL FUSION USING FINGERPRINT AND IRIS BIOMETRICS

Glossokinetic potential based tongue–machine interface for 1-D extraction using neural networks

Machine Learning-Based Detection of Sleep-Disordered Breathing Type Using Time and Time-Frequency Features

Machine Learning-Based Detection of Sleep-Disordered Breathing Type Using Time and Time-Frequency Features

Machine Learning-Based Detection of Sleep-Disordered Breathing Type Using Time and Time-Frequency Features

Machine Learning-Based Detection of Sleep-Disordered Breathing Type Using Time and Time-Frequency Features

Wrapper and Hybrid Feature Selection Methods Using Metaheuristic Algorithm for Chest X-Ray Images Classification