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HANDS-ON TRAINING COURSE : Hydro-metallurgical Processes Simplification by Simulation using METSIM Simulator.

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Course Description     Watch the Course Outline Video In the hydro-metallurgical industry designing of circuits can be a complex and tedius process....

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Machine Learning Technique for Recognition of Flotation Froth Images in a Nonstable Flotation Process

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Introduction The ore flotation process is of particular importance for mineral processing technology. This research aimed to evaluate mineral process...

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Deep Learning in Mining and Mineral Processing Operations: A Review

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INTRODUCTION Digitilisation of the manufacturing industries is growing rapidly in what is often referred to as the 4th Industrial Revolution or Indus...

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How Can Artificial Intelligence Be Applied in Manufacturing?

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AI and Machine Learning are giving manufacturers an unprecedented ability to skyrocket throughput, optimize their supply chain, and accelerate researc...

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Patfio Consultancy Events & Training Programme Schedule For First Half Of 2023

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Click Here to download the events and training programme.

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Assessment of metallurgical variability – P6

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In this installment, some aspects related to the spatial integrity of the sample will be discussed. Carrasco, Chilès, and Séguret (2008) highlight thi...

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DIGITAL TRANSFORMATION USING SIMULATION IN A PROJECT LIFE CYCLE

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INTRODUCTION Digital systems for Process Simulation first emerged in the 1970s and have since played an increasingly important role within every phase...

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The next generation of mineral processing simulation

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With just 18 months left of its current funding term, CRC ORE is actively educating and cooperating with its participants in the use of its unique sol...

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