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ORCIDSidi Ahmed Mahmoudi
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2020 – today
- 2024
[j16]Taha Abdelazziz Rahmani, Ghalem Belalem, Sidi Ahmed Mahmoudi, Omar Rafik Merad Boudia:
Machine learning-driven energy-efficient load balancing for real-time heterogeneous systems. Clust. Comput. 27(4): 4883-4908 (2024)- [j15]Taha Abdelazziz Rahmani, Ghalem Belalem, Sidi Ahmed Mahmoudi
, Omar Rafik Merad Boudia:
Equalizer: Energy-efficient machine learning-based heterogeneous cluster load balancer. Concurr. Comput. Pract. Exp. 36(23) (2024) - [c34]Mohamed Benkedadra, Dany Rimez, Tiffanie Godelaine, Natarajan Chidambaram, Hamed Razavi Khosroshahi, Horacio Tellez, Matei Mancas, Benoît Macq, Sidi Ahmed Mahmoudi:
CIA: Controllable Image Augmentation Framework Based on Stable Diffusion. MIPR 2024: 600-606 - [c33]Zainab Ouardirhi, Otmane Amel, Mostapha Zbakh, Sidi Ahmed Mahmoudi:
FuDensityNet: Fusion-Based Density-Enhanced Network for Occlusion Handling. VISIGRAPP (3): VISAPP 2024: 632-639 - [i1]Otmane Amel, Sédrick Stassin, Sidi Ahmed Mahmoudi, Xavier Siebert:
Multimodal Approach for Harmonized System Code Prediction. CoRR abs/2406.04349 (2024) - 2023
- [j14]Jean-Sébastien Lerat, Sidi Ahmed Mahmoudi, Saïd Mahmoudi:
Single node deep learning frameworks: Comparative study and CPU/GPU performance analysis. Concurr. Comput. Pract. Exp. 35(14) (2023) - [c32]Jean-Sébastien Lerat, Sidi Ahmed Mahmoudi:
Architecture to Distribute Deep Learning Models on Containers and Virtual Machines for Industry 4.0. CloudTech 2023: 1-8 - [c31]Zainab Ouardirhi, Sidi Ahmed Mahmoudi, Mostapha Zbakh:
A Novel Approach for Recognizing Occluded Objects Using Feature Pyramid Network Based on Occlusion Rate Analysis. CloudTech 2023: 1-7 - [c30]Otmane Amel, Sédrick Stassin, Sidi Ahmed Mahmoudi, Xavier Siebert:
Multimodal Approach for Harmonized System Code Prediction. ESANN 2023 - [c29]Sédrick Stassin, Otmane Amel, Sidi Ahmed Mahmoudi, Xavier Siebert:
Similarity versus Supervision: Best Approaches for HS Code Prediction. ESANN 2023 - [c28]Alexandre Englebert, Sédrick Stassin, Géraldin Nanfack, Sidi Ahmed Mahmoudi, Xavier Siebert, Olivier Cornu, Christophe De Vleeschouwer:
Explaining through Transformer Input Sampling. ICCV (Workshops) 2023: 806-815 - [c27]Mohamed Benkedadra, Matei Mancas, Sidi Ahmed Mahmoudi:
Feedback Driven Multi Stereo Vision System for Real-Time Event Analysis. IMX 2023: 230-236 - 2022
- [j13]Mohammed Amin Belarbi, Saïd Mahmoudi, Ghalem Belalem, Sidi Ahmed Mahmoudi, Aurélie Cools:
A New Comparative Study of Dimensionality Reduction Methods in Large-Scale Image Retrieval. Big Data Cogn. Comput. 6(2): 54 (2022) - 2021
- [j12]Olivier Debauche, Jean-Philippe Trani, Saïd Mahmoudi, Pierre Manneback, Jérôme Bindelle, Sidi Ahmed Mahmoudi, Adriano Guttadauria, Frédéric Lebeau:
Data management and internet of things : A methodological review in smart farming. Internet Things 14: 100378 (2021) - [j11]Olivier Debauche, Meryem Elmoulat, Saïd Mahmoudi, Sidi Ahmed Mahmoudi, Adriano Guttadauria, Pierre Manneback, Frédéric Lebeau:
Towards Landslides Early Warning System With Fog - Edge Computing And Artificial Intelligence*. J. Ubiquitous Syst. Pervasive Networks 15(2): 11-17 (2021) - 2020
- [j10]Olivier Debauche, Sidi Ahmed Mahmoudi, Nicolas De Cock, Saïd Mahmoudi, Pierre Manneback, Frédéric Lebeau:
Cloud architecture for plant phenotyping research. Concurr. Comput. Pract. Exp. 32(17) (2020) - [j9]Sidi Ahmed Mahmoudi, Mohammed Amin Belarbi, Saïd Mahmoudi, Ghalem Belalem, Pierre Manneback:
Multimedia processing using deep learning technologies, high-performance computing cloud resources, and Big Data volumes. Concurr. Comput. Pract. Exp. 32(17) (2020) - [c26]Jemai Bornia, Ali Frihida, Olivier Debauche, Sidi Ahmed Mahmoudi, Pierre Manneback:
Deep Learning and Approach for Tracking People's Movements in a Video. Cloudtech 2020: 1-6 - [c25]Rim Doukha, Sidi Ahmed Mahmoudi, Mostapha Zbakh, Pierre Manneback:
Deployment of Containerized Deep Learning Applications in the Cloud. Cloudtech 2020: 1-6 - [c24]Fabrice Nolack Fote, Saïd Mahmoudi, Amine Roukh, Sidi Ahmed Mahmoudi:
Big Data Storage and Analysis for Smart Farming. Cloudtech 2020: 1-8 - [c23]Hammou Djalal Rafik, Sidi Ahmed Mahmoudi, Reda Adjoudj, Mechab Boubaker:
A Model Of A Biometric Recognition System Based On The Hough Transform Of Libor Masek and 1-D Log-Gabor Filter. Cloudtech 2020: 1-9 - [c22]Olivier Debauche, Saïd Mahmoudi, Meryem Elmoulat, Sidi Ahmed Mahmoudi, Pierre Manneback, Frédéric Lebeau:
Edge AI-IoT Pivot Irrigation, Plant Diseases, and Pests Identification. EUSPN/ICTH 2020: 40-48 - [c21]Amine Roukh, Fabrice Nolack Fote, Sidi Ahmed Mahmoudi, Saïd Mahmoudi:
Big Data Processing Architecture for Smart Farming. EUSPN/ICTH 2020: 78-85 - [c20]Fabrice Nolack Fote, Amine Roukh, Saïd Mahmoudi, Sidi Ahmed Mahmoudi, Olivier Debauche:
Toward a Big Data Knowledge-Base Management System for Precision Livestock Farming. EUSPN/ICTH 2020: 136-142 - [c19]Meryem Elmoulat, Olivier Debauche, Saïd Mahmoudi, Sidi Ahmed Mahmoudi, Pierre Manneback, Frédéric Lebeau:
Edge Computing and Artificial Intelligence for Landslides Monitoring. EUSPN/ICTH 2020: 480-487 - [c18]Olivier Debauche, Saïd Mahmoudi, Sidi Ahmed Mahmoudi, Pierre Manneback, Frédéric Lebeau:
A new Edge Architecture for AI-IoT services deployment. FNC/MobiSPC 2020: 10-19 - [c17]Olivier Debauche, Saïd Mahmoudi, Sidi Ahmed Mahmoudi, Pierre Manneback, Jérôme Bindelle, Frédéric Lebeau:
Edge Computing and Artificial Intelligence for Real-time Poultry Monitoring. FNC/MobiSPC 2020: 534-541 - [c16]Olivier Debauche, Saïd Mahmoudi, Sidi Ahmed Mahmoudi, Pierre Manneback, Frédéric Lebeau:
Edge Computing and Artificial Intelligence Semantically Driven. Application to a Climatic Enclosure. FNC/MobiSPC 2020: 542-547 - [c15]Amine Roukh, Fabrice Nolack Fote, Sidi Ahmed Mahmoudi, Saïd Mahmoudi:
WALLeSMART: Cloud Platform for Smart Farming. SSDBM 2020: 28:1-28:4
2010 – 2019
- 2019
- [j8]Sidi Ahmed Mahmoudi, Mohammed Amin Belarbi, El Wardani Dadi, Saïd Mahmoudi, Mohammed Benjelloun:
Cloud-Based Image Retrieval Using GPU Platforms. Comput. 8(2): 48 (2019) - [j7]Mohammed El Adoui, Sidi Ahmed Mahmoudi, Mohamed Amine Larhmam, Mohammed Benjelloun:
MRI Breast Tumor Segmentation Using Different Encoder and Decoder CNN Architectures. Comput. 8(3): 52 (2019) - 2018
- [j6]Sidi Ahmed Mahmoudi, Mohammed Amin Belarbi, Saïd Mahmoudi, Ghalem Belalem:
Towards a smart selection of resources in the cloud for low-energy multimedia processing. Concurr. Comput. Pract. Exp. 30(12) (2018) - [j5]Najlae Kasmi, Mostapha Zbakh, Sidi Ahmed Mahmoudi, Pierre Manneback:
WT_DMDA new scheduling strategy for conjugate gradient solver on heterogeneous architecture. Int. J. Auton. Comput. 3(1): 52-71 (2018) - [c14]Mohammed Benjelloun, Mohammed El Adoui, Mohamed Amine Larhmam, Sidi Ahmed Mahmoudi:
Automated Breast Tumor Segmentation in DCE-MRI Using Deep Learning. Cloudtech 2018: 1-6 - [c13]Jemai Bornia, Sidi Ahmed Mahmoudi, Ali Frihida, Pierre Manneback:
Towards a Semantic Video Analysis using Deep Learning and Ontology. Cloudtech 2018: 1-6 - [c12]Olivier Debauche, Saïd Mahmoudi, Sidi Ahmed Mahmoudi:
Internet of Things: learning and practices. Application to Smart City. Cloudtech 2018: 1-7 - [c11]Gafour Yacine, Djamel Berrabah, Sidi Ahmed Mahmoudi:
Robust Facial Recognition Using Extended Local Binary Patterns. Cloudtech 2018: 1-8 - [c10]Olivier Debauche, Saïd Mahmoudi, Mohammed Amin Belarbi, Mohammed El Adoui, Sidi Ahmed Mahmoudi:
Internet of Things: Learning and practices. Application to smart home. CommNet 2018: 1-6 - [c9]Olivier Debauche, Sidi Ahmed Mahmoudi, Saïd Mahmoudi, Pierre Manneback:
Cloud Platform using Big Data and HPC Technologies for Distributed and Parallels Treatments. EUSPN/ICTH 2018: 112-118 - 2017
- [c8]Sidi Ahmed Mahmoudi, Mohammed El Adoui, Mohammed Amin Belarbi, Mohamed Amine Larhmam, Fabian Lecron:
Cloud-based platform for computer vision applications. ICSDE 2017: 195-200 - 2016
- [c7]Sidi Ahmed Mahmoudi, Mohammed Ammar, Guillaume Luque Joris, Amine Abbou:
Real Time GPU-Based Segmentation and Tracking of the Left Ventricle on 2D Echocardiography. IWBBIO 2016: 602-614 - 2015
- [j4]Sidi Ahmed Mahmoudi:
Multi-GPU based framework for real-time motion analysis and tracking in multi-user scenarios. EAI Endorsed Trans. Creative Technol. 2(2): e5 (2015) - [c6]Sidi Ahmed Mahmoudi, Pierre Manneback:
Multi-CPU/Multi-GPU Based Framework for Multimedia Processing. CIIA 2015: 54-65 - 2014
- [j3]Paulo Ricardo Possa, Sidi Ahmed Mahmoudi, Naim Harb, Carlos Valderrama, Pierre Manneback:
A Multi-Resolution FPGA-Based Architecture for Real-Time Edge and Corner Detection. IEEE Trans. Computers 63(10): 2376-2388 (2014) - [c5]Mohamed Amine Larhmam, Sidi Ahmed Mahmoudi, Mohammed Benjelloun, Saïd Mahmoudi, Pierre Manneback:
A Portable Multi-CPU/Multi-GPU Based Vertebra Localization in Sagittal MR Images. ICIAR (2) 2014: 209-218 - [c4]Sidi Ahmed Mahmoudi, Pierre Manneback:
Multi-GPU based event detection and localization using high definition videos. ICMCS 2014: 81-86 - 2013
- [c3]Sidi Ahmed Mahmoudi, Michal Kierzynka, Pierre Manneback:
Real-Time GPU-Based Motion Detection and Tracking Using Full HD Videos. INTETAIN 2013: 12-21 - 2012
- [j2]Sidi Ahmed Mahmoudi, Pierre Manneback, Cédric Augonnet, Samuel Thibault:
Traitement d'images sur architectures parallèles et hétérogènes. Tech. Sci. Informatiques 31(8-10): 1183-1203 (2012) - [c2]Paulo Da Cunha Possa, Sidi Ahmed Mahmoudi, Naim Harb, Carlos Valderrama:
A new self-adapting architecture for feature detection. FPL 2012: 643-646 - [c1]Sidi Ahmed Mahmoudi, Pierre Manneback:
Efficient exploitation of heterogeneous platforms for images features extraction. IPTA 2012: 91-96 - 2011
- [j1]Fabian Lecron, Sidi Ahmed Mahmoudi, Mohammed Benjelloun, Saïd Mahmoudi, Pierre Manneback:
Heterogeneous Computing for Vertebra Detection and Segmentation in X-Ray Images. Int. J. Biomed. Imaging 2011: 640208:1-640208:12 (2011)
Coauthor Index
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last updated on 2024-10-30 21:36 CET by the dblp team
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