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Munir Shah

Observed names: Munir Shah (15400493), Shah, Munir
ORCID: 0000-0001-6084-7404
Observed ORCID: 0000-0001-6084-7404
OpenAlex ID: A5031354895
Video background modeling: recent approaches, issues and our proposed techniques
2013 · Munir Shah, Jeremiah D. Deng, et al. · Machine Vision and Applications · 62
A Framework for Assessing the Potential of Artificial Intelligence in the Circular Bioeconomy
2025 · Munir Shah, Mark Wever, et al. · Sustainability · 51
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A Self-adaptive CodeBook (SACB) model for real-time background subtraction
2015 · Munir Shah, Jeremiah D. Deng, et al. · Image and Vision Computing · 29
Designing early warning systems for detecting systemic risk: A case study and discussion
2021 · Mark Wever, Munir Shah, et al. · Futures · 22
xYOLO: A Model For Real-Time Object Detection In Humanoid Soccer On Low-End Hardware
2019 · Daniel Barry, Munir Shah, et al. · International Conference on Image and Vision Computing New Zealand (IVCNZ) · 21
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Illumination Invariant Background Model Using Mixture of Gaussians and SURF Features
2013 · Munir Shah, Jeremiah Deng, et al. · Lecture notes in computer science · 12
Localized adaptive learning of Mixture of Gaussians models for background extraction
2010 · Munir Shah, Jeremiah Deng, et al. · International Conference on Image and Vision Computing New Zealand (IVCNZ) · 11
Enhanced Codebook Model for Real-Time Background Subtraction
2011 · Munir Shah, Jeremiah Deng, et al. · Lecture notes in computer science · 10
Digitalization for Sustainable Agriculture: Enabling Farm Digitalization Through Decentralized Control and Ownership
2024 · Alvaro Romera, Glenn Parry, et al. · Green energy and technology · 5
Automatically localising ROIs in hyperspectral images using background subtraction techniques
2020 · Munir Shah, Vanessa Cave, et al. · International Conference on Image and Vision Computing New Zealand (IVCNZ) · 5
Enhancing the mixture of Gaussians background model with local matching and local adaptive learning
2012 · Munir Shah, Jeremiah D. Deng, et al. · International Conference on Image and Vision Computing New Zealand (IVCNZ) · 5
Improving Mixture of Gaussians background model through adaptive learning and Spatio-Temporal voting
2013 · Munir Shah, Jeremiah D. Deng, et al. · Proceedings - International Conference on Image Processing · 2
Managing and Governing Integrated Research Programmes: Lessons from Theory and Practice
2023 · Mark Wever, Alvaro Romera, et al. · Sustainability · 1
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Transdisciplinary Approach to Hyper-Transparency
2020 · Mark Wever, Nel Wognum, et al. · Advances in transdisciplinary engineering · 1
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Electric Sheep Team Description Paper Humanoid League Kid-Size 2019
2019 · Barry, Daniel, Curtis-Black, Andrew, et al. · arXiv (Cornell University) · 1
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Correction to: Digitalization for Sustainable Agriculture: Enabling Farm Digitalization Through Decentralized Control and Ownership
2024 · Alvaro Romera, Glenn Parry, et al. · Green energy and technology
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Towards a transdisciplinary framework for systemic risk detection
2023 · Mark Wever, Niall O', et al. · International Journal of Agile Systems and Management
Managing and Governing Integrated Research Programmes: Lessons from Organizational Studies
2022 · Mark Wever, Alvaro Romera, et al. · Advances in transdisciplinary engineering
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Choosing the wrong integrated research approach and how to correct it: reflections on developing a shared information management system
2022 · Mark Wever, Munir Shah, et al. · International Journal of Agile Systems and Management
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Adaptive foreground-background segmentation of complex video scenes
2014 · Munir Shah · Otago University Research Archive (University of Otago)
Growing Neural Gas Video Background Model (GNG-BM)
2013 · Munir Shah, Jeremiah D. Deng, et al. · Lecture notes in computer science
Works count: 25
Citation count: 242
H-index: 8
I10-index: 8
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