Zobrazeno 1 - 10
of 17
pro vyhledávání: '"Fahd M. Aldosari"'
Autor:
Mohamed Al Mashrgy, Sami Bourouis, Nizar Bouguila, Hassen Sallay, Fahd M. Aldosari, Faisal R. Al-Osaimi
Publikováno v:
Soft Computing. 23:5799-5813
The goal of constructing models from examples has been approached from different perspectives. Statistical methods have been widely used and proved effective in generating accurate models. Finite Gaussian mixture models have been widely used to descr
Publikováno v:
International Journal of Learning and Teaching. :335-339
Publikováno v:
International Journal of Quality Assurance in Engineering and Technology Education. 6:1-12
To satisfy ABET's continuous improvement criterion, an instructor, teaching a course suggests, at the end of the course, an improvement plan to be implemented when the same course is taught next time. Preparation of such a course improvement plan may
Publikováno v:
iThings/GreenCom/CPSCom/SmartData
Spam filtering has been the topic of extensive research in the past. Many machine learning approaches have been proposed. In this paper we propose an approach based on nonparametric Bayesian inference via an infinite scaled Dirichlet mixture model. T
Publikováno v:
2018 21st Saudi Computer Society National Computer Conference (NCC).
In recent years, Underwater Wireless Sensor Networks (UWSNs) have garnered attention worldwide due to their significant role in several application domains. However, the unique characteristics of underwater environments pose a challenge when designin
Autor:
Sami Bourouis, K. M. Jamil Khayyat, Fahd M. Aldosari, Wentao Fan, Nizar Bouguila, Hassen Sallay
Publikováno v:
Lecture Notes in Computer Science ISBN: 9783319920573
IEA/AIE
IEA/AIE
We propose in this paper a new fully unsupervised model based on a Dirichlet process prior and the inverted Dirichlet distribution that allows the automatic inferring of clusters from data. The main idea is to let the number of mixture components inc
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::fc4036fad1e8458e539b80e2290dcf75
https://doi.org/10.1007/978-3-319-92058-0_33
https://doi.org/10.1007/978-3-319-92058-0_33
Publikováno v:
ANT/SEIT
In cloud computing systems, the data is stored on remote servers accessed through the internet. The increasing volume of personal and vital data, brings up more focus on storing the data securely. Data can include financial transactions, important do
Autor:
Sami Bourouis, Fahd M. Aldosari, Faisal R. Al-Osaimi, Mohamed Al Mashrgy, Nizar Bouguila, Hassen Sallay
Publikováno v:
AICCSA
We propose a Bayesian approach to learn finite generalized inverted Dirichlet mixture models. The developed approach performs simultaneous parameters estimation, model complexity determination, and feature selection via a reversible jump Markov Chain
Publikováno v:
EURASIA Journal of Mathematics, Science and Technology Education. 13
Background:Transformation of CLO satisfaction data to ABET SO satisfaction data using crisp values of the parameters with a 0/1 mapping between CLOs and SOs has been presented earlier. No fuzzy logic application has been presented for transforming CL
Publikováno v:
Proceedings of the Canadian Engineering Education Association (CEEA).
An assessment consists of questions addressing the required learning outcomes of a course. If a pool of questions of various types is made available then assessment design reduces to selection of questions, one by one, from the pool. Since the number