WoS Makaleler

Hybrid experimental-ML-RSM framework for optimizing diesel engine performance with waste tire oil blends

Machinability of different Cu-Gr composites in milling: Performance parameters prediction via machine learning models

A comparative analysis of machine learning algorithms for waste classification: inceptionv3 and chi-square features

Machine learning-based classification of varicocoele grading: A promising approach for diagnosis and treatment optimization

Class-weighted reinforcement learning for skin cancer image classification

Diagnostic Accuracy of a Machine Learning-Derived Appendicitis Score in Children: A Multicenter Validation Study

Optimized feature selection using gray wolf and particle swarm algorithms for corn seed image classification

Integrating advanced remote sensing technologies and machine learning in urban forestry: a comprehensive review and future outlook

Machine learning algorithms and geographic information system techniques to predict land suitability maps for wheat cultivation in the Central Anatolia Region

Modeling, prediction, and optimization of pump system efficiency: A comparative study of machine learning methods and response surface method

Comparative analysis of machine learning and deep learning algorithms for knee arthritis detection using YOLOv8 models

High-accuracy machine learning approach for predicting J-V characteristics of perovskite solar cells under variable irradiance

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

Webserver-Based Mobile Application for Multi-class Chestnut (<i>Castanea sativa</i>) Classification Using Deep Features and Attention Mechanisms

Enhancing the Prediction of Inborn Errors of Immunity: Integrating Jeffrey Modell Foundation Criteria with Clinical Variables Using Machine Learning

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

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

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

Classification of Biscuit Quality With Deep Learning Algorithms