Mrginal Accuracy of Hybrid and different Machinable Ceramic Crowns

A Proposed Performance Prediction Approach for Manufacturing Process Using Artifical Neural Networks.

ASSESSMENT OF MARGINAL ACCURACY AND FRACTURE RESISTANCE OF GLASS CERAMIC CROWNS AS PRODUCED BY TWO MILLING PROTOCOLS (4-AXIS VERSUS 5-AXIS)

The Effect of Preparation Design on the Marginal Adaptation of Monolithic Crowns Made of New CAD/CAM Ceramic Material An In-Vitro Study

Computer Aided Selection of Optimal Non-Traditional Machining Processes.

Computer Numerical Control CNC Machine Health Prediction using ‎Multi-domain Feature Extraction and Deep Neural Network Regression

A Comprehensive Hybrid Approach for Predicting Oral Health Status Based on Different Factors Through New Artificial Intelligence Techniques

LONG BONES X-RAY FRACTURE CLASSIFICATION USING MACHINE LEARNING

Modeling and Optimization of Process Parameters for Surface roughness and Cutting Forces on End Milling using RSM and Taguchi Method

In Vitro Investigation of Marginal & Internal Adaptation of Two Screw-Retained Implant Supported Crowns: A Comparative Analysis of Direct Optical & Subtractive Reverse Engineerin