Zobrazeno 1 - 10
of 19
pro vyhledávání: '"Athraa Jasim Mohammed"'
Publikováno v:
F1000Research, Vol 12 (2024)
Background There is no doubt that vaccination is crucial for preventing the spread of diseases; however, not every vaccine is perfect or will work for everyone. The main objective of this work is to predict which vaccine will be most effective for a
Externí odkaz:
https://doaj.org/article/26df278078374617ae7d0126928c5139
Publikováno v:
F1000Research, Vol 12 (2023)
Background: There is no doubt that vaccination is crucial for preventing the spread of diseases; however, not every vaccine is perfect or will work for everyone. The main objective of this work is to predict which vaccine will be most effective for a
Externí odkaz:
https://doaj.org/article/046a0b7b11314678844ad9152d8a8cb6
Publikováno v:
Journal of ICT, Vol 19, Iss 3, Pp 351-379 (2020)
Least Squares Support Vector Machine (LSSVM) has been known to be one of the effective forecasting models. However, its operation relies on two important parameters (regularization and kernel). Pre-determining the values of parameters will affect the
Externí odkaz:
https://doaj.org/article/1d0782e9d6044450a648da9668b491a9
Publikováno v:
Journal of ICT, Vol 15, Iss 1 (2016)
Text clustering is a task of grouping similar documents into a cluster while assigning the dissimilar ones in other clusters. A well-known clustering method which is the K-means algorithm is extensively employed in many disciplines. However, there is
Externí odkaz:
https://doaj.org/article/4a8dc878a3a4464f9082a9258c73f35b
Publikováno v:
Iraqi Journal of Science. :5572-5580
Clustering is an unsupervised learning method that classified data according to similarity probabilities. DBScan as a high-quality algorithm has been introduced for clustering spatial data due to its ability to remove noise (outlier) and constructing
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::f059717feb9e0653572483443d07e06d
https://doi.org/10.24996/ijs.2022.63.12.41
https://doi.org/10.24996/ijs.2022.63.12.41
Publikováno v:
Journal of ICT, Vol 19, Iss 3, Pp 351-379 (2020)
Least Squares Support Vector Machine (LSSVM) has been known to be one of the effective forecasting models. However, its operation relies on two important parameters (regularization and kernel). Pre-determining the values of parameters will affect the
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::cba3c78b34abcb41c75c434df1364a48
http://e-journal.uum.edu.my/index.php/jict/article/view/jict2020.19.3.3
http://e-journal.uum.edu.my/index.php/jict/article/view/jict2020.19.3.3
Publikováno v:
Iraqi Journal of Science. :178-184
The aim of robot path planning is to search for a safe path for the mobile robot. Even though there exist various path planning algorithms for mobile robots, yet only a few are optimized. The optimized algorithms include the Particle Swarm Optimizati
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::141c939501fb206ffc528c4360eadadf
https://doi.org/10.24996/ijs.2020.61.1.20
https://doi.org/10.24996/ijs.2020.61.1.20
Publikováno v:
Pertanika Journal of Science and Technology. 28
Color image segmentation is widely used methods for searching of homogeneous regions to classify them into various groups. Clustering is one technique that is used for this purpose. Clustering algorithms have drawbacks such as the finding of optimum
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::aa1518594f62e5309583725a33d97b86
https://doi.org/10.47836/pjst.28.4.14
https://doi.org/10.47836/pjst.28.4.14
Publikováno v:
Journal of Computer Science. 11:453-465
Document clustering is widely used in Information Retrieval however, existing clustering techniques suffer from local optima problem in determining the k number of clusters. Various efforts have been put to address such drawback and this includes the
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::788b90b13f3afe78da19ee397be56266
https://doi.org/10.3844/jcssp.2015.453.465
https://doi.org/10.3844/jcssp.2015.453.465
Publikováno v:
Jurnal Teknologi. 79
Text clustering is one of the text mining tasks that is employed in search engines. Discovering the optimal number of clusters for a dataset or repository is a challenging problem. Various clustering algorithms have been reported in the literature bu
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::e438345c0ad68c9e9e3883165cfbd333
https://doi.org/10.11113/jt.v79.5408
https://doi.org/10.11113/jt.v79.5408