The most significant improvements in factors are associated with a + 2.3 increase in accuracy after implementation of SVM + CFS/information gain/symmetry uncertainty feature selection methods, as well as an + 2.2 improvement in the F-measure factor derived from SVM + CFS/informat...
For this purpose, we have proposed an admission control algorithm, based both on the Node B total required power and the cell loading factor. This algorithm gives rigorous results compared to the existing ones in the literature.doi:10.14569/IJACSA.2013.040411Fadoua Thami...
(2020). Predicting Individual Socioeconomic Status from Mobile Phone Data: A Semi-supervised Hypergraph-based Factor Graph Approach, International Journal of Data Science and Analytics, 9, 361–372. Download references Author information Author notes Xin Gao and Jarder Luo These authors contributed ...
key functional properties. The exploration of biomedicals applications in the form of wearable and point-of-care devices will then be presented. Issue of health risk from accidental exposure to LIG will be covered. Then LIG-based wearable devices will be compared to devices of different materials....
doi:10.14569/ijacsa.2024.0150235COMPUTER scienceINFORMATION scienceINFORMATION technologyDEEP learningMACHINE learningThe proper allocation of data between training and testing is a critical factor influencing the performance of deep learning models, especially those built upon pre...