Zobrazeno 1 - 10
of 13
pro vyhledávání: '"Ahmed Aljuboori"'
Publikováno v:
Baghdad Science Journal, Vol 20, Iss 4 (2023)
This paper proposes a new encryption method. It combines two cipher algorithms, i.e., DES and AES, to generate hybrid keys. This combination strengthens the proposed W-method by generating high randomized keys. Two points can represent the reliabilit
Externí odkaz:
https://doaj.org/article/91a21b280ed14e278cdc6d9055721600
Publikováno v:
Bulletin of Electrical Engineering and Informatics. 10:2310-2319
Automatic speaker recognition may achieve remarkable performance in matched training and test conditions. Conversely, results drop significantly in incompatible noisy conditions. Furthermore, feature extraction significantly affects performance. Mel-
Case-Based Reasoning (CBR) plays a major role in expert system research. However, a critical problem can be met when a CBR system retrieves incorrect cases. Class Association Rules (CARs) have been utilized to offer a potential solution in a previous
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::085110219e723037c5ff2330bbd39e2f
Autor:
Ahmed Aljuboori
Publikováno v:
2016 6th International Conference on Information Communication and Management (ICICM).
The aim of this paper was to perform an extension of (CBRAR) strategy, Case-Based Reasoning using Association Rules to enhance the performance of the Similarity Base Retrieval SBR. FP-CAR classed frequent pattern tree algorithms are used in order to
Publikováno v:
EAI Endorsed Transactions on Scalable Information Systems; 2023, Vol. 10 Issue 5, p1-7, 7p
Publikováno v:
Baghdad Science Journal; 2023, Vol. 20 Issue 4, p1414-1424, 11p
Publikováno v:
Business in Vancouver; 11/25/2024, Issue 1830, p27-27, 1/2p
Autor:
Aljuboori, Ahmed
Publikováno v:
2016 6th International Conference on Information Communication & Management (ICICM); 2016, p52-56, 5p
Publikováno v:
2016 6th International Conference on Information Communication & Management (ICICM); 2016, piii-vii, 5p
Publikováno v:
Machine Learning & Data Mining in Pattern Recognition (9783319419190); 2016, p326-340, 15p