Zobrazeno 1 - 10
of 21
pro vyhledávání: '"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
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::24d22ef79cf28285c979b20cfa424457
https://doi.org/10.3991/ijet.v18i06.36987
https://doi.org/10.3991/ijet.v18i06.36987
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
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::77c9601b6b2d99556bd107ea9af76b2c
https://online-journals.org/index.php/i-jim/article/view/28373
https://online-journals.org/index.php/i-jim/article/view/28373
Publikováno v:
Advances in Science, Technology and Engineering Systems Journal. 4:414-420
Neurological signals are generally very weak in amplitude and strongly noisy. As a result, one of the major challenges in neuroscience is to be able to eliminate noise and thus exploit the maximum amount of information contained in neurological signa
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::71f33e960da03594ce007c2ca7ef01af
https://doi.org/10.25046/aj040450
https://doi.org/10.25046/aj040450
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
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::f976d32337a4e02c86b5461771beef20
https://doi.org/10.14569/ijacsa.2021.0120286
https://doi.org/10.14569/ijacsa.2021.0120286
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
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::9e20162ddf96cf23c678c09a8e3152ad
https://doi.org/10.1145/3419604.3419760
https://doi.org/10.1145/3419604.3419760
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
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::584829cf07d761016d82da784e4d4bee
https://doi.org/10.12988/ams.2016.6387
https://doi.org/10.12988/ams.2016.6387
Publikováno v:
2018 International Conference on Intelligent Systems and Computer Vision (ISCV).
Nowadays deep learning is considered as a trendy technique in the computer vision domain. It becomes a pioneer in its main tasks as object classification, object localization, and object detection. Therefore it gave amazing results and records. In th
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::451b43a9ee4bf58f8fe6f1b9b0d86fc7
https://doi.org/10.1109/isacv.2018.8354045
https://doi.org/10.1109/isacv.2018.8354045