Dr. Brahim Farou
Dr. Brahim Farou
Associate Professor of Computer Science, LabSTIC Laboratory, University of Guelma
Verified email at
Cited by
Cited by
Efficient local monitoring approach for the task of background subtraction
B Farou, MN Kouahla, H Seridi, H Akdag
Engineering Applications of Artificial Intelligence 64, 1-12, 2017
An efficient indexing for Internet of Things massive data based on cloud‐fog computing
AE Benrazek, Z Kouahla, B Farou, MA Ferrag, H Seridi, M Kurulay
Transactions on emerging telecommunications technologies 31 (3), e3868, 2020
Ascending hierarchical classification for camera clustering based on FoV overlaps for WMSN
AE Benrazek, B Farou, H Seridi, Z Kouahla, M Kurulay
IET Wireless Sensor Systems 9 (6), 382-388, 2019
A segmentation-recognition approach with a fuzzy-artificial immune system for unconstrained handwritten connected digits
H Merabti, B Farou, H Seridi
Informatica 42 (1), 95-106, 2018
Novel approach for detection and removal of moving cast shadows based on RGB, HSV and YUV color spaces
B Farou, H Rouabhia, H Seridi, H Akdag
Computing and Informatics 36 (4), 837-856, 2017
Improved parameters updating algorithm for the detection of moving objects
B Farou, H Seridi, H Akdag
IFIP International Conference on Computer Science and its Applications, 527-537, 2015
Efficient camera clustering method based on overlapping fovs for wmsns
ALAE Benrazek, F Brahim, K Muhammet
International Journal of Informatics and Applied Mathematics 1 (1), 10-23, 2019
New Approach for the Extraction of Moving Objects
B Farou, H Seridi, H Akdag
Modeling Approaches and Algorithms for Advanced Computer Applications, 27-36, 2013
Système Neuro-Markovien pour la Reconnaissance de l'Écriture Manuscrite Arabe à Vocabulaire Limité.
B Farou, S Hallaci, H Seridi
CIIA, 2009
Cooperative processing based on posture change detection and trajectory estimation for unknown multi-object tracking
HE Rouabhia, B Farou, ZE Kouahla, H Seridi, H Akdag
International Journal of Systems Science 50 (13), 2539-2551, 2019
Improved Gaussian Mixture Model With Background Spotter For The Extraction of Moving Objects
B Farou, H Seridi, H Akdag
The International Arab Journal of Information Technology (IAJIT) 13 (6A), 2016
Background subtraction using artificial immune recognition system and single Gaussian (airs-sg)
W Nebili, B Farou, H Seridi
Multimedia Tools and Applications 79 (35), 26099-26121, 2020
Cost-Effective Space Partitioning Approach for IoT Data Indexing and Retrieval
I Kemouguette, Z Kouahla, AE Benrazek, B Farou, H Seridi
2021 International Conference on Networking and Advanced Systems (ICNAS), 1-6, 2021
Using Gaussian Mixture Models and HSV color space for background subtraction
B Farou, H Seridi, H Akdag
International conference on control engineering (CONTECH’13), 2013
A Survey on Big IoT Data Indexing: Potential Solutions, Recent Advancements, and Open Issues
Z Kouahla, AE Benrazek, MA Ferrag, B Farou, H Seridi, M Kurulay, ...
Future Internet 14 (1), 19, 2021
QCCF-tree: A New Efficient IoT Big Data Indexing Method at the Fog-Cloud Computing Level
K Khettabi, Z Kouahla, B Farou, H Seridi
2021 IEEE International Smart Cities Conference (ISC2), 1-7, 2021
Using resources competition and memory cell development to select the best gmm for background subtraction
W Nebili, B Farou, H Seridi
International Journal of Strategic Information Technology and Applications …, 2019
A Segmentation-Recognition Approach with a Fuzzy-Artificial Immune System for Unconstrained Handwritten Connected Digits
M Hocine, F Brahim, S Hamid
Informatica 42 (1), 2017
Efficient Camera Clustering Method Based on Overlapping FoVs for WMSNs
B Ala-Eddine, F Brahim, M Kurulay
Clustering and parallel indexing of big IoT data in the fog‐cloud computing level
K Khettabi, Z Kouahla, B Farou, H Seridi, MA Ferrag
Transactions on Emerging Telecommunications Technologies, e4484, 2022
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