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Real-time prediction of disc cutter wear in low-abrasive rocks: integrating physico-mechanical properties and signal processing features through machine learning methods
Real-Time Prediction of Disc Cutter Wear in Low-Abrasive Rocks: Integrating Physico-Mechanical Properties and Signal Processing Features Through Machine Learning Methods
Real-Time Prediction of Disc Cutter Wear in Low-Abrasive Rocks: Integrating Physico-Mechanical Properties and Signal Processing Features Through Machine Learning Methods
مقالات پژوهشی
Conference Papers
Conference Papers
Prof. Abbas Pakdel
انتشارات
Prediction of SCA, overscreening and crowding phenomena of binary mixtures of ionic liquids at the spherical cavity of a porous electrode of EDL supercapacitors and its relation to PZC and stern region thickness
ژنتيک بيومتري
List of Publications
نوید سعیدی-Navid Saeidi
Research Topics & Directions
Modelling and Predicting the Breaking Strength and Mass Irregularity of Cotton Rotor Spun Yarns Containing Cotton Fiber Recovered from Ginning Process by Using Artificial Neural Network Algorithm
Modelling and Predicting the Breaking Strength and Mass Irregularity of Cotton Rotor Spun Yarns Containing Cotton Fiber Recovered from Ginning Process by Using Artificial Neural Network Algorithm