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Fakhri Karray
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Multi-Plane Neural Radiance Fields for Novel View Synthesis


Mar 03, 2023
Youssef Abdelkareem, Shady Shehata, Fakhri Karray

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* ICDIPV 2023 
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Harris Hawks Feature Selection in Distributed Machine Learning for Secure IoT Environments


Feb 20, 2023
Neveen Hijazi, Moayad Aloqaily, Bassem Ouni, Fakhri Karray, Merouane Debbah

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* Accepted in IEEE ICC 2023 
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Integrating Digital Twin and Advanced Intelligent Technologies to Realize the Metaverse


Oct 03, 2022
Moayad Aloqaily, Ouns Bouachir, Fakhri Karray, Ismaeel Al Ridhawi, Abdulmotaleb El Saddik

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* 7 pages, 2 figures, Accepted for publication, IEEE Consumer Electronics Magazine 
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Internet of Things Device Capabilities, Architectures, Protocols, and Smart Applications in Healthcare Domain: A Review


Apr 12, 2022
Md. Milon Islam, Sheikh Nooruddin, Fakhri Karray, Ghulam Muhammad

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* 27 pages, 7 figures, 4 tables 
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Theoretical Connection between Locally Linear Embedding, Factor Analysis, and Probabilistic PCA


Mar 25, 2022
Benyamin Ghojogh, Ali Ghodsi, Fakhri Karray, Mark Crowley

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* Accepted for presentation at the Canadian AI 2022 (Canadian Conference on Artificial Intelligence). This paper has some shared materials with our other paper arXiv:2104.01525 but its focus and aim are different from that paper 
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On Manifold Hypothesis: Hypersurface Submanifold Embedding Using Osculating Hyperspheres


Feb 03, 2022
Benyamin Ghojogh, Fakhri Karray, Mark Crowley

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Human Activity Recognition Using Tools of Convolutional Neural Networks: A State of the Art Review, Data Sets, Challenges and Future Prospects


Feb 02, 2022
Md. Milon Islam, Sheikh Nooruddin, Fakhri Karray, Ghulam Muhammad

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* 32 pages, 4 figures, 4 Tables 
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Spectral, Probabilistic, and Deep Metric Learning: Tutorial and Survey


Jan 23, 2022
Benyamin Ghojogh, Ali Ghodsi, Fakhri Karray, Mark Crowley

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* To appear as a part of an upcoming textbook on dimensionality reduction and manifold learning 
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Generative Adversarial Networks and Adversarial Autoencoders: Tutorial and Survey


Nov 26, 2021
Benyamin Ghojogh, Ali Ghodsi, Fakhri Karray, Mark Crowley

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* To appear as a part of an upcoming textbook on dimensionality reduction and manifold learning 
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Sufficient Dimension Reduction for High-Dimensional Regression and Low-Dimensional Embedding: Tutorial and Survey


Oct 18, 2021
Benyamin Ghojogh, Ali Ghodsi, Fakhri Karray, Mark Crowley

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* To appear as a part of an upcoming textbook on dimensionality reduction and manifold learning 
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