WoS Makaleler

Comparative analysis of machine learning techniques for modeling irradiance-dependent J-V characteristics of perovskite solar cells

Noncontact Multi-Domain Mass Imbalance Detection in Rotational Machinery Systems

Machine Learning-Based Modeling of Tractor Fuel and Energy Efficiency During Chisel Plough Tillage

A Comprehensive Case Study of Wind Energy Production Forecasting in Türkiye Using Enhanced Attention BiLSTM

Navigating the gray zone: Machine learning can differentiate malignancy in PI-RADS 3 lesions

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

Classification of almond kernels with optuna hyper-parameter optimization using machine learning methods

Comparative Analysis of Machine Learning Methods with Chaotic AdaBoost and Logistic Mapping for Real-Time Sensor Fusion in Autonomous Vehicles: Enhancing Speed and Acceleration Prediction Under Uncertainty

Classification of Biscuit Quality With Deep Learning Algorithms

Fisheye freshness detection using common deep learning algorithms and machine learning methods with a developed mobile application

A user-friendly machine learning approach for cardiac structures assessment

Comparative Analysis of Tree-Based Ensemble Learning Algorithms for Landslide Susceptibility Mapping: A Case Study in Rize, Turkey

Detection of fish freshness using artificial intelligence methods

Classification of deep image features of lentil varieties with machine learning techniques

Machine learning models for online detection of wear and friction behaviour of biomedical graded stainless steel 316L under lubricating conditions

Monitoring Built-Up Edge, Chipping, Thermal Cracking, and Plastic Deformation of Milling Cutter Inserts through Spindle Vibration Signals

A new hybrid model for classification of corn using morphological properties

Analysis of Machine Learning Classification Approaches for Predicting Students' Programming Aptitude

Predict the Value of Football Players Using FIFA Video Game Data and Machine Learning Techniques

Computer vision classification of dry beans (<i>Phaseolus vulgaris L</i>.) based on deep transfer learning techniques