Titlebook: South African Institute of Computer Scientists and Information Technologists; 44th Annual Conferen Aurona Gerber,Marijke Coetzee Conference

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书目名称South African Institute of Computer Scientists and Information Technologists影响因子(影响力)




书目名称South African Institute of Computer Scientists and Information Technologists影响因子(影响力)学科排名




书目名称South African Institute of Computer Scientists and Information Technologists网络公开度




书目名称South African Institute of Computer Scientists and Information Technologists网络公开度学科排名




书目名称South African Institute of Computer Scientists and Information Technologists被引频次




书目名称South African Institute of Computer Scientists and Information Technologists被引频次学科排名




书目名称South African Institute of Computer Scientists and Information Technologists年度引用




书目名称South African Institute of Computer Scientists and Information Technologists年度引用学科排名




书目名称South African Institute of Computer Scientists and Information Technologists读者反馈




书目名称South African Institute of Computer Scientists and Information Technologists读者反馈学科排名

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Conference proceedings 2023pers presented in this volume were carefully reviewed and selected from 54 regular submissions. They adress various aspects of the role of computer science in connectivity, information systems for connectivity, connecting society and emerging technologies for connectivity.

accomplishment

费解

打包

Mufaro Nyangari,Grant Oosterwyk,Popyeni Kautondokwa

atopic-rhinitis

公理

South African Institute of Computer Scientists and Information Technologists44th Annual Conferen

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Matching Production and Test Files: A Comparison of Filename and Statement-Based Approachesviding a more accurate and reliable solution for matching test and production files in TDD research. In conclusion, the statement-based matching algorithm significantly outperforms the filename-based method, which will benefit TDD research by offering a more accurate method of matching production fi

Bureaucracy

Zero-Day Threats Detection for Critical Infrastructuresstudy highlight the effectiveness of fuzzy logic and the use of ensemble learning to enhance the performance of ML models. The research identifies Random Forest (RF) and Extreme Gradient Boosting (XGB) as the top-performing algorithms to detect zero-day attacks. The results obtained from the impleme