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Q-Rapids framework for advanced data analysis to improve rapid software development.

, , , and . J. Ambient Intell. Humaniz. Comput., 10 (5): 1927-1936 (2019)

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Statistical and signal-based network traffic recognition for anomaly detection., , , and . Expert Syst. J. Knowl. Eng., 29 (3): 232-245 (2012)A Proposal of Algorithm for Web Applications Cyber Attack Detection., , , and . CISIM, volume 8838 of Lecture Notes in Computer Science, page 680-687. Springer, (2014)Q-Rapids framework for advanced data analysis to improve rapid software development., , , and . J. Ambient Intell. Humaniz. Comput., 10 (5): 1927-1936 (2019)Cyber Security of the Application Layer of Mission Critical Industrial Systems., , , and . CISIM, volume 9842 of Lecture Notes in Computer Science, page 342-351. Springer, (2016)Recognizing Anomalies/Intrusions in Heterogeneous Networks., , , , and . Computer Recognition Systems 3, volume 57 of Advances in Intelligent and Soft Computing, Springer, (2009)Extreme Learning Machines for Web Layer Anomaly Detection., , , and . IP&C, volume 525 of Advances in Intelligent Systems and Computing, page 226-233. Springer, (2016)Platform for Software Quality and Dependability Data Analysis., , , and . DepCoS-RELCOMEX, volume 761 of Advances in Intelligent Systems and Computing, page 306-315. Springer, (2018)Scenario-Based Evaluation of 112 Application "Pomoc"., , , , and . ISCRAM-med, volume 265 of Lecture Notes in Business Information Processing, page 22-29. (2016)Efficient Post Event Analysis and Cyber Incident Response in IoT and E-commerce Through Innovative Graphs and Cyberthreat Intelligence Employment., , , , and . ICIC (3), volume 13395 of Lecture Notes in Computer Science, page 257-266. Springer, (2022)A Novel Signal-Based Approach to Anomaly Detection in IDS Systems., , , and . ICANNGA, volume 5495 of Lecture Notes in Computer Science, page 527-536. Springer, (2009)