YÖKSİS Makale Veritabanı

Environmental Monitoring of Land Use/ Land Cover by Integrating Remote Sensing and Machine Learning Algorithms

Radar-based electrical machine fault diagnosis via time–frequency imaging and deep feature-based machine learning

Radar-based electrical machine fault diagnosis via time–frequency imaging and deep feature-based machine learning

Combining LSTM-enhanced features with machine learning algorithms for improved heart failure prediction

Rotor fault characterisation in induction motors under different load levels via machine learning methods

Determination of wheat types using optimized extreme learning machine with metaheuristic algorithms

Determination of wheat types using optimized extreme learning machine with metaheuristic algorithms

Using Machine Learning Methods to Predict the Effect of Alternative Fuel Mixtures on Exhaust Emissions

Enhanced Breast Cancer Risk Classification Through Genetic Algorithm-Based Feature Selection and Machine Learning Techniques

Machine learning-based sex estimation from photogrammetric hand images using deep features

Machine Learning-Driven E-Nose-Based Diabetes Detection: Sensor Selection and Feature Reduction Study

Classification and Analysis of Pistachio Species with Pre-Trained Deep Learning Models

Automated Classification of Hand-Woven and Machine-Woven Carpets based on Morphological Features Using Machine Learning Algorithms

Analysis of Different Sensor Data Using Machine Learning Methods for the Purpose of Determining Milk Quality

Apple (Malus domestica) Quality Evaluation Based on Analysis of Features Using Machine Learning Techniques

Apple (Malus domestica) Quality Evaluation Based on Analysis of Features Using Machine Learning Techniques

Predict the Number of Traffic Accidents in Turkey by Using Machine Learning Techniques and Python Tools

Machine Learning-Based Prediction of Student Depression Risk Using the Feature Selection Approach

Predicting the relationship between consumer buying behavior (CBB) and consumption metaphor (CM) through machine learning (ML)

Predicting Successful Chronic Total Occlusion Crossing With Primary Antegrade Wiring Using Machine Learning