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A comprehensive empirical evaluation of generating test suites for mobile applications with diversity., , и . Inf. Softw. Technol., (2021)Real-time Detection of Early Drowsiness Using Convolution Neural Networks., и . IMAWM, стр. 1-8. Society for Imaging Science and Technology, (2021)A comprehensive empirical evaluation of generating test suites for mobile applications with diversity - Summary., , и . Software Engineering, том P-332 из LNI, стр. 121-122. Gesellschaft für Informatik e.V., (2023)Robotaxis as Computing Clusters: A Stochastic Modeling Approach., и . WiMob, стр. 57-62. IEEE, (2023)Does Diversity Improve the Test Suite Generation for Mobile Applications?, , и . SSBSE, том 11664 из Lecture Notes in Computer Science, стр. 58-74. Springer, (2019)A Comprehensive Empirical Evaluation of Generating Test Suites for Mobile Applications with Diversity., , и . CoRR, (2020)A Performance Modeling of Dynamic Vehicular Clouds: Job Completion Time of Concurrently Executed Tasks., и . ICDCS Workshops, стр. 127-132. IEEE, (2023)Performance Analysis of Vehicular Cloud Under Interruption Avoidance Strategy., и . CCECE, стр. 494-498. IEEE, (2022)Towards Job Completion Time in Vehicular Cloud by Overcoming Resource Volatility., и . LCN, стр. 331-334. IEEE, (2022)Massive MIMO Power Allocation in Millimeter Wave Networks., , , , , и . WASA, том 10874 из Lecture Notes in Computer Science, стр. 296-307. Springer, (2018)