Zobrazeno 1 - 10
of 118
pro vyhledávání: '"Ali Jaoua"'
Publikováno v:
IEEE Access, Vol 8, Pp 179845-179856 (2020)
Could we detect anomalies during the run-time of a program by learning from the analysis of its previous traces for normally completed executions? In this paper we create a featured data set from program traces at run time, either during its regular
Externí odkaz:
https://doaj.org/article/114e320ca7cf488a990d7436559c6f82
Autor:
Tooba Salahuddin, Fatima Haouari, Fahad Islam, Rahma Ali, Sara Al-Rasbi, Nada Aboueata, Eman Rezk, Ali Jaoua
Publikováno v:
Informatics in Medicine Unlocked, Vol 13, Iss , Pp 176-185 (2018)
The increase in biomedical data has given rise to the need for developing data sampling techniques. With the emergence of big data and the rise of popularity of data science, sampling or reduction techniques have been assistive to significantly haste
Externí odkaz:
https://doaj.org/article/8d1348a186c6492b902c76556e93d4d9
Publikováno v:
IEEE Access, Vol 5, Pp 338-346 (2017)
This paper focuses on detecting inconsistencies within text corpora. It is a very interesting area with many applications. Most existing methods deal with this problem using complicated textual analysis, which is known for not being accurate enough.
Externí odkaz:
https://doaj.org/article/96d397fa5d1246a2aabc856dd9757d5e
Publikováno v:
Universal Access in the Information Society. 21:171-192
There are limited studies that are addressing the challenges of visually impaired (VI) users when viewing search results on a search engine interface by using a screen reader. This study investigates the effect of providing an overview of search resu
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::e636b2674dcfc002eb6af1cb9884c617
https://doi.org/10.1007/s10209-020-00777-w
https://doi.org/10.1007/s10209-020-00777-w
Autor:
Mondher Maddouri, Ali Jaoua
Publikováno v:
Industrial and Engineering Applications of Artificial Intelligence and Expert Systems ISBN: 9780429332111
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::cc5a27b575c987c2c24a1ef1ac4afca7
https://doi.org/10.1201/9780429332111-52
https://doi.org/10.1201/9780429332111-52
Autor:
Ahmad Qadeib Alban, Ali Jaoua
Publikováno v:
AICCSA
Currently, during runtime, programs are mostly uncontrollable objects. They are very vulnerable to either transient or permanent, external, or internal contaminations of the program state. Here one finds a new method that combines a theoretical appro
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::2acc001292c6ba0571f87c100fae32bb
https://doi.org/10.1109/aiccsa50499.2020.9316510
https://doi.org/10.1109/aiccsa50499.2020.9316510
Publikováno v:
ICIoT
Formal Concept Analysis (FCA) is emerging in Data Science because of its generality, simplicity, and powerful mathematical foundation. It enabled a uniform data clustering methods into structured space of formal concepts. Several FCA based machine le
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::84ff34199b233dee20ad6f417ed02157
https://doi.org/10.1109/iciot48696.2020.9089528
https://doi.org/10.1109/iciot48696.2020.9089528
Autor:
Mondher Maddouri, Ali Jaoua
Publikováno v:
Industrial and Engineering Applications of Artificial Intelligence and Expert Systems ISBN: 9780429332197
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::8836c5fc68ad6e44919e9801d2da4f0f
https://doi.org/10.1201/9780429332197-32
https://doi.org/10.1201/9780429332197-32
Publikováno v:
Innovations in Systems and Software Engineering. 13:219-239
Faults are an important concept in the study of system dependability, and most approaches to dependability can be characterized by the way in which they deal with faults (e.g., fault avoidance, fault removal, fault tolerance, fault forecasting). In t
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::0bc225691eafe0cf989ab23376c2379c
https://doi.org/10.1007/s11334-017-0300-7
https://doi.org/10.1007/s11334-017-0300-7
Publikováno v:
Advanced Science Letters. 23:4591-4595
Inconsistency detection is a large research area that has many applications. In the scope of Islamic content mining, this topic is of a particular interest because of the continuously increasing content and the need of people to find out more about i
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::a8678038eec8aaaddc5c6f6a399a70fc
https://doi.org/10.1166/asl.2017.8893
https://doi.org/10.1166/asl.2017.8893