Zobrazeno 1 - 10
of 10
pro vyhledávání: '"Saleh Alkhalaileh"'
Autor:
Mohammed Alweshah, Muder Almiani, Saleh Alkhalaileh, Sofian Kassaymeh, Essa Abdullah Hezzam, Waleed Alomoush
Publikováno v:
IEEE Access, Vol 11, Pp 114443-114458 (2023)
An imbalanced classification problem is one in which the distribution of instances across defined classes is uneven or biased in one direction or another. In data mining, the probabilistic neural network (PNN) classifier is a well-known technology th
Externí odkaz:
https://doaj.org/article/1e753db664224938847c698a0abf044b
Autor:
Mohammed Alweshah, Yasmeen Aldabbas, Bilal Abu-Salih, Saleh Oqeil, Hazem S. Hasan, Saleh Alkhalaileh, Sofian Kassaymeh
Publikováno v:
Heliyon, Vol 9, Iss 9, Pp e20133- (2023)
Gene Selection (GS) is a strategy method targeted at reducing redundancy, limited expressiveness, and low informativeness in gene expression datasets obtained by DNA Microarray technology. These datasets contain a plethora of diverse and high-dimensi
Externí odkaz:
https://doaj.org/article/ec1ff66ffd6143c59909ef544bfcb08a
Publikováno v:
Journal of Ambient Intelligence and Humanized Computing. 14:6349-6366
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::f8e20f70317b9e9b4f654047e6527b28
https://doi.org/10.1007/s12652-022-04407-6
https://doi.org/10.1007/s12652-022-04407-6
Publikováno v:
The Journal of Supercomputing. 78:12278-12309
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::870a642072148f86cf1242dd627f4899
https://doi.org/10.1007/s11227-022-04357-y
https://doi.org/10.1007/s11227-022-04357-y
Autor:
Mohammed Alweshah, Omar Alahmed, Saleh Alkhalaileh, Muder Almiani, Azuraliza Abu Bakar, Mohd RidzwanYaakub
Sentiment analysis (SA) is the process of assessing the sentiment and attitude of digital audiences toward a range of topics and subjects. The aim of this research is to propose an effective approach for finding good-quality solutions for dialectal A
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::de250a1499f6c703f1cdb08864079ef2
https://doi.org/10.21203/rs.3.rs-1970100/v1
https://doi.org/10.21203/rs.3.rs-1970100/v1
Autor:
Saleh Alkhalaileh, Mohammad Hashem Ryalat, Osama M. Dorgham, M. Khader, Mohammed Alweshah, Jawdat Alshaer
Publikováno v:
Multimedia Tools and Applications. 80:30057-30090
In the medical field, image segmentation provides important information for surgical planning and registration, and thus demands accurate segmentation. In order to improve the effectiveness and the threshold accuracy of segmentation, researchers have
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::2f7a085ec258d3848e58fd186ec13dc7
https://doi.org/10.1007/s11042-020-10147-6
https://doi.org/10.1007/s11042-020-10147-6
Autor:
Mohammed Alweshah, Dheeb Albashish, Majdi Mafarja, Osama M. Dorgham, Qusay Bsoul, Saleh Alkhalaileh
Publikováno v:
Soft Computing. 25:517-534
Feature selection (FS) is the process of finding the least possible number of features that are able to describe a dataset in the same way as the original features. Feature selection is a crucial preprocessing step for data mining techniques as it im
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::bbe3bd3ab5af928c1c97fcb745d02262
https://doi.org/10.1007/s00500-020-05164-4
https://doi.org/10.1007/s00500-020-05164-4
Feature selection (FS) is an important preprocessing step that has been commonly used in several fields to improve the performance of learning algorithms. In the field of medical data mining, a huge number of features are used in diagnosing disease,
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::40b9765079a7a8ab93b53edfdcda50ac
https://doi.org/10.21203/rs.3.rs-1402946/v1
https://doi.org/10.21203/rs.3.rs-1402946/v1
Coronavirus herd immunity optimizer with greedy crossover for feature selection in medical diagnosis
Publikováno v:
Knowledge-Based Systems
The importance of medical data and the crucial nature of the decisions that are based on such data, as well as the large increase in its volume, has encouraged researchers to develop feature selection (FS)-based approaches to identify the most releva
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::093b19930117d31937fdc585325edf87
https://pubmed.ncbi.nlm.nih.gov/34728909
https://pubmed.ncbi.nlm.nih.gov/34728909
Publikováno v:
Indonesian Journal of Electrical Engineering and Computer Science. 12:1334
This study aims to identify the role of cloud computing in achieving success in e-governance in Jordan. This paper investigates the effect of four accomplishment aspects (availability, flexibility, cost saving and scalability) for executing cloud com
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::494abcbe406cae4c73760eda7b4d4263
https://doi.org/10.11591/ijeecs.v12.i3.pp1334-1339
https://doi.org/10.11591/ijeecs.v12.i3.pp1334-1339