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Frédéric Mirindi

Observed names: Frederic Mirindi, Frederic, Mirindi, Mirindi, Frederic, Mirindi, Frédéric
ORCID: 0009-0001-1798-9914
Observed ORCID: 0009-0001-1798-9914
OpenAlex ID: A5114513960
Ensemble machine learning algorithms for efficient prediction of compressive strength of concrete containing tyre rubber and brick powder
2025 · David Sinkhonde, Tajebe Bezabih, et al. · Cleaner Waste Systems · 17
Artificial Intelligence (AI) and Automation for Driving Green Transportation Systems: A Comprehensive Review
2025 · Derrick Mirindi, Alex Khang, et al. · Lecture notes in intelligent transportation and infrastructure · 12
Predicting the compressive strength of laterite blocks stabilized with metakaolin geopolymer and sugarcane molasses via machine learning
2025 · David Sinkhonde, Derrick Mirindi, et al. · Cleaner Waste Systems · 10
Application of machine learning to predict the properties of wood- composite made from PET, HDPE, and PP fibres
2025 · Derrick Mirindi, David Sinkhonde, et al. · Manufacturing Letters · 7
Applications of machine learning algorithms on the compressive strength of laterite blocks made with metakaolin-based geopolymer and sugarcane molasses
2025 · David Sinkhonde, Derrick Mirindi, et al. · Waste Management Bulletin · 7
Effects of mix design parameters on workability and compressive strength of teff straw ash-based geopolymer mortars: Experimental evaluation and machine learning prediction
2025 · Tajebe Bezabih, David Sinkhonde, et al. · Construction and Building Materials · 6
Performance of machine learning algorithms to evaluate the physico-mechanical properties of nanoparticle panels
2025 · Derrick Mirindi, James Hunter, et al. · Green Technologies and Sustainability · 6
Machine learning-driven analysis of nanoparticle performance on concrete mechanical properties
2025 · Derrick Mirindi, James Hunter, et al. · Manufacturing Letters · 5
Review: The Role of Artificial Intelligence in Building Information Modeling
2025 · Derrick Mirindi, Frederic Mirindi, et al. · ACM SIGMIS Computers and People Research Conference (SIGMIS-CPR) · 4
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Structural performance of boards through nanoparticle reinforcement: An advance review
2024 · Derrick Mirindi, James Hunter, et al. · Nanotechnology Reviews · 4
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Advanced evaluation of BIM-GenAI using OpenAI o1 and ethical considerations
2025 · Derrick Mirindi, David Sinkhonde, et al. · ACM SIGMIS Computers and People Research Conference (SIGMIS-CPR) · 3
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A Review on Aerospace-AI, with Ethics and Implications
2025 · Derrick Mirindi, David Sinkhonde, et al. · Journal of Civil Construction and Environmental Engineering · 3
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An Advance Review of Urban-AI and Ethical Considerations
2024 · Derrick Mirindi, David Sinkhonde, et al. · 3
The Role of Energy Transition, Digitalization, and Green Goods in Material Footprints and Sustainability
2026 · Sohidul Islam, Shahzad Alvi, et al. · Sustainable Development · 2
The efficiency paradox of discharge masking head loss in run-of-river hydropower generation
2026 · Mugaruka Josue Mugisho, Bayongwa Samuel Ahana, et al. · Scientific Reports · 2
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From compressive strength studies to predictive machine learning models: Rubberised concrete containing brick powder
2026 · David Sinkhonde, Derrick Mirindi, et al. · Applications in Engineering Science · 2
A novel machine learning approach for predicting the compressive strength of high-strength concrete containing gum Arabic and corn cob ash
2025 · David Sinkhonde, Derrick Mirindi, et al. · Hybrid Advances · 2
Can split tensile strength be predicted from various mix compositions? Insights from machine learning models on rubberised concrete with brick powder
2026 · David Sinkhonde, Derrick Mirindi, et al. · Progress in Engineering Science · 1
Deep and reinforcement learning-driven analysis of silica flour at different temperatures on the performance of cement paste compressive strength
2026 · David Sinkhonde, Derrick Mirindi, et al. · Progress in Engineering Science · 1
Machine learning applications to predict the split tensile and flexural strengths of rubber tire-concrete composite
2026 · Derrick Mirindi, David Sinkhonde, et al. · Review of Materials Research · 1
Artificial intelligence-driven physical and mechanical properties of acid-based adhesive for manufacturing particleboard
2025 · Derrick Mirindi, David Sinkhonde, et al. · Biomass Futures · 1
Predictive modeling of particleboard properties derived from agricultural waste biomass using machine learning algorithms
2025 · Derrick Mirindi, David Sinkhonde, et al. · Next research. · 1
SEF-Net: A Hybrid Deep Learning Architecture for Multi-step Forecasting in Sustainable Energy Markets
2025 · Frédéric Mirindi, Derrick Mirindi · Lecture notes in computer science · 1
Advance Toward Artificial Superintelligence with OpenAI's O1 Reinforcement Learning and Ethics
2025 · Derrick Mirindi, David Sinkhonde, et al. · International Conference on Artificial Intelligence, Robotics and Control (AIRC) · 1
Leakage-aware explainable machine learning for highway–rail grade crossing safety screening
2026 · Manisha Kandel, Derrick Mirindi, et al. · Transportation Research Today
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Works count: 52
Citation count: 103
H-index: 6
I10-index: 3
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