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Said Jai-Andaloussi
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2020 – today
- 2024
- [c22]Manal El Harti, Saad Zaamoun, Said Jai-Andaloussi, Ouail Ouchetto:
Classification of Eye Disorders Using Deep Learning and Machine Learning Models. ACR 2024: 184-194 - 2023
- [j14]Imane El Mourabit, Said Jai-Andaloussi, Mounia Miyara, Ouail Ouchetto:
Identification of Online Learning Challenges During the COVID-19 Pandemic in Developing Countries: A Case Study of a Metropolis Faculty of Sciences. Int. J. Emerg. Technol. Learn. 18(8): 238-258 (2023) - [j13]Abdelali Elmoufidi, Ayoub Skouta, Said Jai-Andaloussi, Ouail Ouchetto:
CNN with Multiple Inputs for Automatic Glaucoma Assessment Using Fundus Images. Int. J. Image Graph. 23(1): 2350012:1-2350012:20 (2023) - [j12]Ayoub Skouta, Abdelali Elmoufidi, Said Jai-Andaloussi, Ouail Ouchetto:
Deep learning for diabetic retinopathy assessments: a literature review. Multim. Tools Appl. 82(27): 41701-41766 (2023) - [j11]Merieme Mansouri, Samia Benabdellah Chaouni, Said Jai-Andaloussi, Ouail Ouchetto:
Deep Learning for Food Image Recognition and Nutrition Analysis Towards Chronic Diseases Monitoring: A Systematic Review. SN Comput. Sci. 4(5): 513 (2023) - [j10]Kebira Azbeg, Ouail Ouchetto, Said Jai-Andaloussi:
Access Control and Privacy-Preserving Blockchain-Based System for Diseases Management. IEEE Trans. Comput. Soc. Syst. 10(4): 1515-1527 (2023) - [c21]Imane El Mourabit, Said Jai-Andaloussi, Ouail Ouchetto, Mounia Miyara:
Exploring Collaborative Filtering Algorithms in MOOCs Recommender Systems: A Comprehensive Overview. NISS 2023: 21:1-21:5 - [c20]Khadija Tlemçani, Said Jai-Andaloussi, Kebira Azbeg, Ouail Ouchetto, Leila Fetjah:
An Advanced IoT-Based Architecture for Healthcare Systems: A Focus on Blockchain-based Edge Computing for Diabetes Management. NISS 2023: 34:1-34:7 - [c19]Btissam Zerhari, Kebira Azbeg, Said Jai-Andaloussi, Ouail Ouchetto:
Leveraging Blockchain for Enhanced Security in IOB Data Management. NISS 2023: 35:1-35:5 - 2022
- [j9]Kebira Azbeg, Mohcine Boudhane, Ouail Ouchetto, Said Jai-Andaloussi:
Diabetes emergency cases identification based on a statistical predictive model. J. Big Data 9(1): 31 (2022) - [j8]Ayoub Skouta, Abdelali Elmoufidi, Said Jai-Andaloussi, Ouail Ouchetto:
Hemorrhage semantic segmentation in fundus images for the diagnosis of diabetic retinopathy by using a convolutional neural network. J. Big Data 9(1): 78 (2022) - [j7]Abdelali Elmoufidi, Ayoub Skouta, Said Jai-Andaloussi, Ouail Ouchetto:
Deep multiple instance learning for automatic glaucoma prevention and auto-annotation using color fundus photography. Prog. Artif. Intell. 11(4): 397-409 (2022) - [c18]Ayoub Skouta, Abdelali Elmoufidi, Said Jai-Andaloussi, Ouail Ouchetto:
Semantic Segmentation of Retinal Blood Vessels from Fundus Images by using CNN and the Random Forest Algorithm. SENSORNETS 2022: 163-170 - 2021
- [j6]Leila Fetjah, Kebira Azbeg, Ouail Ouchetto, Said Jai-Andaloussi:
Towards a Smart Healthcare System: An Architecture Based on IoT, Blockchain, and Fog Computing. Int. J. Heal. Inf. Syst. Informatics 16(4): 1-18 (2021) - [j5]El Mehdi Saoudi, Said Jai-Andaloussi:
A distributed Content-Based Video Retrieval system for large datasets. J. Big Data 8(1): 87 (2021) - [j4]Abderrahmane Adoui El Ouadrhiri, Said Jai-Andaloussi, Ouail Ouchetto:
Video block and FABEMD features for an effective and fast method of reporting near-duplicate and mirroring videos. J. Big Data 8(1): 138 (2021)
2010 – 2019
- 2019
- [j3]Karim Benzidane, Saad Khoudali, Leila Fetjah, Said Jai-Andaloussi, Abderrahim Sekkaki:
Application-based authentication on an inter-VM traffic in a Cloud environment. Int. J. Commun. Networks Inf. Secur. 11(1) (2019) - [j2]El Mehdi Saoudi, Abderrahmane Adoui El Ouadrhiri, Said Jai-Andaloussi, Othmane El Warrak, Abderrahim Sekkaki:
Content Based Video Retrieval by Using Distributed Real-Time System Based on Storm. Int. J. Embed. Real Time Commun. Syst. 10(4): 60-80 (2019) - 2018
- [j1]Abdelali Elmoufidi, Khalid El Fahssi, Said Jai-Andaloussi, Abderrahim Sekkaki, Gwenolé Quellec, Mathieu Lamard:
Anomaly classification in digital mammography based on multiple-instance learning. IET Image Process. 12(3): 320-328 (2018) - [c17]Rachida El Morabet, Abderrahmane Adoui El Ouadrhiri, Jaroslav Burian, Said Jai-Andaloussi, Said El Mouak, Abderrahim Sekkaki:
Automatic Classification of Air Pollution and Human Health. BDCA 2018: 160-170 - [c16]Abderrahmane Adoui El Ouadrhiri, Said Jai-Andaloussi, El Mehdi Saoudi, Ouail Ouchetto, Abderrahim Sekkaki:
Similarity Performance of Keyframes Extraction on Bounded Content of Motion Histogram. BDCA 2018: 475-486 - [c15]Kebira Azbeg, Ouail Ouchetto, Said Jai-Andaloussi, Leila Fetjah, Abderrahim Sekkaki:
Blockchain and IoT for Security and Privacy: A Platform for Diabetes Self-management. Cloudtech 2018: 1-5 - [c14]El Mehdi Saoudi, Abderrahmane Adoui El Ouadrhiri, Othman El Warrak, Said Jai-Andaloussi, Abderrahmane Sekkaki:
Improving Content Based Video Retrieval Performance by Using Hadoop-MapReduce Model. FRUCT 2018: 1-6 - [c13]Abderrahmane Adoui El Ouadrhiri, Jaroslav Burian, Said Jai-Andaloussi, Rachida El Morabet, Ouail Ouchetto, Abderrahim Sekkaki:
Fast-Tracking Application for Traffic Signs Recognition. ICCVG 2018: 385-396 - 2017
- [c12]Abderrahmane Adoui El Ouadrhiri, El Mehdi Saoudi, Said Jai-Andaloussi, Ouail Ouchetto, Abderrahim Sekkaki:
Content based video retrieval based on bounded coordinate of motion histogram. CoDIT 2017: 573-578 - 2016
- [c11]Leila Fetjah, Karim Benzidane, Hassan El Alloussi, Othman El Warrak, Said Jai-Andaloussi, Abderrahim Sekkaki:
Toward a Big Data Architecture for Security Events Analytic. CSCloud 2016: 190-197 - [c10]Karim Benzidane, Hassan El Alloussi, Othman El Warrak, Leila Fetjah, Said Jai-Andaloussi, Abderrahim Sekkaki:
Toward a cloud-based security intelligence with big data processing. NOMS 2016: 1089-1092 - [c9]Abdelali Elmoufidi, Khalid El Fahssi, Said Jai-Andaloussi, Abderrahim Sekkaki, Gwenolé Quellec, Mathieu Lamard, Guy Cazuguel:
Automatic Detection of Suspicious Lesions in Digital X-ray Mammograms. UNet 2016: 375-385 - [c8]Hassan El Alloussi, Karim Benzidane, Othman El Warrak, Leila Fetjah, Said Jai-Andaloussi, Abderrahim Sekkaki:
Application of APSIS on a Card Payment Solution. UNet 2016: 685-699 - 2015
- [c7]Abdelali Elmoufidi, Khalid El Fahssi, Said Jai-Andaloussi, Abderrahim Sekkaki:
Automatically density based breast segmentation for mammograms by using dynamic K-means algorithm and Seed Based Region Growing. I2MTC 2015: 533-538 - 2014
- [c6]Said Jai-Andaloussi, Aboulaite Mohamed, Nabil Madrane, Abderrahim Sekkaki:
Soccer Video Summarization Using Video Content Analysis and Social Media Streams. BDC 2014: 1-7 - [c5]Khalid El Fahssi, Abdenbi Abenaou, Said Jai-Andaloussi, Abderrahim Sekkaki:
Method and algorithm for mass segmentation in mammograms based on the minimisation of energy and active contour model. ISMICT 2014: 1-5 - [c4]Khalid El Fahssi, Abdelali Elmoufidi, Abdenbi Abenaou, Said Jai-Andaloussi, Abderrahim Sekkaki:
Mass segmentation in mammograms based on the minimisation of energy and active contour model. MeMeA 2014: 461-465 - 2013
- [c3]Said Jai-Andaloussi, Abderrahim Sekkaki, Gwenolé Quellec, Mathieu Lamard, Guy Cazuguel, Christian Roux:
Mass segmentation in mammograms by using Bidimensional Emperical Mode Decomposition BEMD. EMBC 2013: 5441-5444 - [c2]Said Jai-Andaloussi, Abdeljalil Elabdouli, Abdelmajid Chaffai, Nabil Madrane, Abderrahim Sekkaki:
Medical content based image retrieval by using the Hadoop framework. ICT 2013: 1-5 - [c1]Nabil Madrane, Abderrahim Sekkaki, Said Jai-Andaloussi:
Lightweight real-time decoding of video on J2ME devices. ICT 2013: 1-4
Coauthor Index
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last updated on 2024-10-07 21:21 CEST by the dblp team
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