Zobrazeno 1 - 10
of 61
pro vyhledávání: '"Yehia Taher"'
Autor:
Sara Makki, Zainab Assaghir, Yehia Taher, Rafiqul Haque, Mohand-Said Hacid, Hassan Zeineddine
Publikováno v:
IEEE Access, Vol 7, Pp 93010-93022 (2019)
Credit card fraud is a criminal offense. It causes severe damage to financial institutions and individuals. Therefore, the detection and prevention of fraudulent activities are critically important to financial institutions. Fraud detection and preve
Externí odkaz:
https://doaj.org/article/aa591261121b49bc828609a41c73f36d
Publikováno v:
IEEE Access, Vol 7, Pp 91265-91290 (2019)
In recent years, the radical advancement of technologies has given rise to an abundance of software applications, social media, and smart devices such as smartphone, sensors, and so on. More extensive use of these applications and tools in various in
Externí odkaz:
https://doaj.org/article/1882569e1f5f4f9abb8fa1b50b38023a
Publikováno v:
Environmental Science and Pollution Research. 29:14036-14045
Although radiation level is a serious concern which requires continuous monitoring, many existing systems are designed to perform this task. Radiation early warning system (REWS) is one of these systems which monitor the gamma radiation level in air.
Publikováno v:
Proceedings of the 5th ACM SIGSPATIAL International Workshop on AI for Geographic Knowledge Discovery.
Autor:
Hafsa El Hafyani, Mohammad Abboud, Jingwei Zuo, Karine Zeitouni, Yehia Taher, Basile Chaix, Limin Wang
Publikováno v:
GeoInformatica.
Publikováno v:
The International Conference on Deep Learning, Big Data and Blockchain (DBB 2022) ISBN: 9783031160349
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::341e345c1c05cbcab5ed802680490393
https://doi.org/10.1007/978-3-031-16035-6_6
https://doi.org/10.1007/978-3-031-16035-6_6
Publikováno v:
ITISE 2022.
Publikováno v:
ITISE 2022.
Publikováno v:
2021 IEEE International Conference on Data Mining (ICDM).
Learning from Multivariate Time Series (MTS) has attracted widespread attention in recent years. In particular, label shortage is a real challenge for the classification task on MTS, considering its complex dimensional and sequential data structure.
Publikováno v:
2021 IEEE International Conference on Smart Data Services (SMDS)
SMDS 2021: IEEE International Conference on Smart Data Services
SMDS 2021: IEEE International Conference on Smart Data Services, Sep 2021, Chicago (online), United States. pp.142-151, ⟨10.1109/SMDS53860.2021.00028⟩
SMDS
SMDS 2021: IEEE International Conference on Smart Data Services
SMDS 2021: IEEE International Conference on Smart Data Services, Sep 2021, Chicago (online), United States. pp.142-151, ⟨10.1109/SMDS53860.2021.00028⟩
SMDS
International audience; The need for robust unsupervised anomaly detection techniques in streaming data increases rapidly in today’s era of smart devices. Many existing anomaly detection methods have difficulties to detect anomalies in streaming da
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::5a7db46d2ae9919b39d1ade0413bf1f9
https://hal.archives-ouvertes.fr/hal-03520025
https://hal.archives-ouvertes.fr/hal-03520025