Chuqing Zhang¹, Jiangyuan Yao^2,*, Guangwu Hu³, Xingcan Cao⁴

Computer Systems Science and Engineering, Vol.45, No.2, pp. 2111-2124, 2023, DOI:10.32604/csse.2023.030516

Abstract Traditional linear statistical methods cannot provide effective prediction results due to the complexity of human mind. In this paper, we apply machine learning to the field of funding allocation decision making, and try to explore whether personal characteristics of evaluators help predict the outcome of the evaluation decision? and how to improve the accuracy rate of machine learning methods on the imbalanced dataset of grant funding? Since funding data is characterized by imbalanced data distribution, we propose a slacked weighted entropy decision tree (SWE-DT). We assign weight to each class with the help of slacked factor. The experimental results show… More >

Abdulaziz Attaallah¹, Raees Ahmad Khan^2,*

CMC-Computers, Materials & Continua, Vol.70, No.3, pp. 5683-5705, 2022, DOI:10.32604/cmc.2022.021643

Abstract The apparent contradiction between usability and security has been discussed in the literature for several years. This continuous trade-off requires be acknowledging and handling whenever security solutions are introduced. However, some progressive analysts point out that present security solutions are usually very difficult for several users, and they have expressed a willingness to simplify the security product user experience. Usable security is still mostly unexplored territory in computer science. Which we are all aware with security and usability on many levels, usable security has received little operational attention. Companies have recently focused primarily on usable security. As consumers prefer to… More >