Zobrazeno 1 - 10
of 12
pro vyhledávání: '"Mohammed Majid Himmi"'
Publikováno v:
International Journal of Emerging Technologies in Learning (iJET). 18:53-70
In this paper, we propose learners course recommender system of the E-Dirassa platform. This system, which distinguishes between new and active learners, adopts three complementary recommendation approaches: content-based recommendation as well as co
Publikováno v:
International Journal of Interactive Mobile Technologies (iJIM); Vol. 16 No. 04 (2022); pp. 46-57
Online learning has been growing continuously in the last decade, accelerated by the pandemic Coronavirus, in order to offer learners new possibilities for learning and to guarantee pedagogical continuity. But some aspects, including the learning ass
Publikováno v:
Business Intelligence ISBN: 9783030765071
CBI
CBI
Language models pretraining facilitated fitting models on new and small datasets by keeping the previous pretraining knowledge. The task-agnostic models are to be fine-tuned on all NLP tasks. In this paper, we study the fine-tuning effect of BERT on
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::98032f433b8cdfd7faa7823776ce2560
https://doi.org/10.1007/978-3-030-76508-8_11
https://doi.org/10.1007/978-3-030-76508-8_11
Publikováno v:
International Journal of Advanced Computer Science and Applications. 12
Automatic earthquake detection is widely studied to replace manual detection, however, most of the existing methods are sensitive to seismic noise. Hence, the need for Machine and Deep Learning has become more and more significant. Regardless of succ
Publikováno v:
SITA
Learning platforms provide new learning opportunities. They are rich on techno-pedagogical tools, enabling learners to collaborate, interact and share resources easily and freely between them, based on their needs and preferences. But the limit of th
In this work we implemented STA/LTA trigger algorithm, which is widely used in seismic detection, using Hadoop MapReduce. Thisimplementation allows to find out how effective it is in this type of tasks as well as to accelerate the detection process
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::aa154a5626377b86c60edfc8124d69b0
https://zenodo.org/record/6946716
https://zenodo.org/record/6946716
Publikováno v:
Mobile, Secure, and Programmable Networking ISBN: 9783030228842
MSPN
MSPN
Deep Learning models can achieve impressive performance in supervised learning but not for unsupervised one. In image generation problem for example, we have no concrete target vector. Generative models have been proven useful for solving this kind o
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::7d06c047c13b93cd6abc7645f07a6834
https://doi.org/10.1007/978-3-030-22885-9_1
https://doi.org/10.1007/978-3-030-22885-9_1
Publikováno v:
Applied Mathematical Sciences. 10:2179-2188
Autor:
Mehdi Abouzahir, El Houssine Bouyakhf, Nabila Zrira, Ibtissam Benmiloud, Mohammed Majid Himmi
Publikováno v:
International Journal of Knowledge Engineering and Soft Data Paradigms. 6:153
Facial expressions are one of the most natural and powerful means for the human being in his social communications, whether to share his internal emotional states or to display his moods or intentions, which, in fact, may be true or simply played in
Autor:
Javier A. Pulgar, P. Ibarra, Mohammed Majid Himmi, Antonio Villaseñor, Josep Gallart, Antonio Pazos, Mimoun Harnafi, Lahcen El Moudnib, M. Chourak, Inmaculada Serrano, Diego Córdoba
Publikováno v:
Digital.CSIC. Repositorio Institucional del CSIC
instname
Tectonophysics
instname
Tectonophysics
We have determined the three-dimensional P-wave velocity structure of the crust and uppermost mantle beneath the Iberia-Africa collision zone using local earthquake tomography. We have inverted arrival times of first-arriving P phases listed in the b
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::c411636105c062929100a4d8571a91dc
http://hdl.handle.net/10261/123352
http://hdl.handle.net/10261/123352