Masoud Soleymani Shishvan

Delft University of Technology

Netherlands

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Articles (12)

A Simulation-Based Risk Assessment Model for Comparative Analysis of Collisions in Autonomous and Non-Autonomous Haulage Trucks

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Year:

2025

Optimising bench-level energy distribution based on drilling error measurements in the mining industry

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Year:

2025

The Development of a New Smart Evacuation Modeling Technique for Underground Mines Using Mathematical Programming

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Year:

2024

Fostering circular economy approach in extractive industry-related study programs-the CIRCEXTIN project

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Year:

2023

Stochastic analysis of dig limit optimization using simulated annealing

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Year:

2022

Interpretation of run-of-mine comminution and recovery parameters using multi-element geochemical data clustering

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Year:

2022

Interpretation of run-of-mine comminution and recovery parameters using multi-element geochemical data clustering

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Year:

2022

Material fingerprinting as a tool to investigate between and within material type variability with a focus on material hardness

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Year:

2022

Material fingerprinting as a tool to investigate between and within material type variability with a focus on material hardness

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Year:

2022

Stochastic analysis of dig limit optimization using simulated annealing

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Year:

2022

Performance Improvements during Mineral Processing Using Material Fingerprints Derived from Machine Learning—A Conceptual Framework

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Year:

2020

Performance Improvements during Mineral Processing Using Material Fingerprints Derived from Machine Learning-A Conceptual Framework

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Year:

2020

Collaborators (2)

Javad Sattarvand

University of Nevada

UNITED STATES

Jeroen van Duijvenbode

Delft University of Technology

NETHERLANDS

Masoud Soleymani Shishvan

Research Interests

Explore related searches

Contact this professor

Articles (12)

A Simulation-Based Risk Assessment Model for Comparative Analysis of Collisions in Autonomous and Non-Autonomous Haulage Trucks

Optimising bench-level energy distribution based on drilling error measurements in the mining industry

The Development of a New Smart Evacuation Modeling Technique for Underground Mines Using Mathematical Programming

Fostering circular economy approach in extractive industry-related study programs-the CIRCEXTIN project

Stochastic analysis of dig limit optimization using simulated annealing

Interpretation of run-of-mine comminution and recovery parameters using multi-element geochemical data clustering

Interpretation of run-of-mine comminution and recovery parameters using multi-element geochemical data clustering

Material fingerprinting as a tool to investigate between and within material type variability with a focus on material hardness

Material fingerprinting as a tool to investigate between and within material type variability with a focus on material hardness

Stochastic analysis of dig limit optimization using simulated annealing

Performance Improvements during Mineral Processing Using Material Fingerprints Derived from Machine Learning—A Conceptual Framework

Performance Improvements during Mineral Processing Using Material Fingerprints Derived from Machine Learning-A Conceptual Framework

Collaborators (2)

Javad Sattarvand

Jeroen van Duijvenbode

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