Výsledky vyhledávání - "Megherbi, D."

Akademický článek

Towards a Multiple-Lookahead-Levels agent reinforcement-learning technique and its implementation in integrated circuits.

Autor: Al-Dayaa, H.¹, Megherbi, D.¹ dalila_megherbi@uml.edu

Publikováno v: Journal of Supercomputing. Oct2012, Vol. 62 Issue 1, p588-615. 28p.

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Akademický článek

Reinforcement learning technique using agent state occurrence frequency with analysis of knowledge sharing on the agent's learning process in multiagent environments.

Autor: Al-Dayaa, H.¹, Megherbi, D.¹ dalila_megherbi@uml.edu

Publikováno v: Journal of Supercomputing. Jan2012, Vol. 59 Issue 1, p526-547. 22p.

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Akademický článek

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A comparison of batch effect removal methods for enhancement of prediction performance using MAQC-II microarray gene expression data

Autor: Luo, J. Schumacher, M. Scherer, A. Sanoudou, D. and Megherbi, D. Davison, T. Shi, T. Tong, W. Shi, L. and Hong, H. Zhao, C. Elloumi, F. Shi, W. Thomas, R. and Lin, S. Tillinghast, G. Liu, G. Zhou, Y. Herman, D. and Li, Y. Deng, Y. Fang, H. Bushel, P. Woods, M. Zhang, J.

Batch effects are the systematic non-biological differences between batches (groups) of samples in microarray experiments due to various causes such as differences in sample preparation and hybridization protocols. Previous work focused mainly on the

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=od______2127::c0684da624cd0b74370e52707fdcf790
https://pergamos.lib.uoa.gr/uoa/dl/object/uoadl:3146736

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Conference

A content-based image retrieval technique with tolerance via multi-page differentiate hashing and binary-tree searching multi-object buckets.

Autor: Mack, Peter, Megherbi, D. B.

Publikováno v: 2016 IEEE International Conference on Computational Intelligence & Virtual Environments for Measurement Systems & Applications (CIVEMSA); 2016, p1-6, 6p

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Conference

A hybrid P2P and master-slave cooperative distributed multi-agent reinforcement learning technique with asynchronously triggered exploratory trials and clutter-index-based selected sub-goals.

Autor: Megherbi, D. B., Kim, Minsuk

Publikováno v: 2016 IEEE International Conference on Computational Intelligence & Virtual Environments for Measurement Systems & Applications (CIVEMSA); 2016, p1-6, 6p

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Conference

A wavelet de-noising signal processing method for overall noise-to-signal (NSR) profile extraction, characterization and comparison of 3?m-5?m MWIR strained-layer super-lattice (SLS) photo-detectors enhanced with microsphere lenses of different ...

Autor: Megherbi, D. B., Paradiso, G., Vakil, I., Limberopoulos, N., Urbas, A.

Publikováno v: 2015 National Aerospace & Electronics Conference (NAECON); 2015, p132-135, 4p

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Conference

Overall sensitivity-improvement performance metric for analysis, comparison and characterization of MWIR strained-layer super-lattice (SLS) photo-detectors enhanced with microsphere lenses of different material structures and sizes.

Autor: Megherbi, D. B., Paradiso, G., Vakil, I., Limberopoulos, N., Urbas, A.

Publikováno v: 2015 National Aerospace & Electronics Conference (NAECON); 2015, p128-131, 4p

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Conference

A collaborative distributed multi-agent reinforcement learning technique for dynamic agent shortest path planning via selected sub-goals in complex cluttered environments.

Autor: Megherbi, D. B., Kim, M.

Publikováno v: 2015 IEEE International Multi-Disciplinary Conference on Cognitive Methods in Situation Awareness & Decision; 2015, p118-124, 7p

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Conference

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