نمایش نتایج جستجو برای
نویسنده: Mohammad Reza Pourramezan
موارد یافت شده: 8
1 - Assessing Viscosity and Contaminant Levels in Diesel Lubricant through Dielectric Spectroscopy Utilizing Soft Computing Approaches (چکیده)2 - Comprehensive Review of Dielectric, Impedance, and Soft Computing Techniques for Lubricant Condition Monitoring and Predictive Maintenance in Diesel Engines (چکیده)
3 - Machine Learning-Based Predictions of Metal and Non-Metal Elements in Engine Oil Using Electrical Properties (چکیده)
4 - Improved Monitoring and Classification of Engine Oil Condition through Two Machine Learning Techniques (چکیده)
5 - Comparative Analysis of Soft Computing Models for Predicting Viscosity in Diesel Engine Lubricants: An Alternative Approach to Condition Monitoring (چکیده)
6 - Unlocking the Potential of Soft Computing for Predicting Lubricant Elemental Spectroscopy (چکیده)
7 - Modeling and classifying the in-operando effects of wear and metal contaminations of lubricating oil on diesel engine: A machine learning approach (چکیده)
8 - Evaluation of lubricant condition and engine health based on soft computing methods (چکیده)
