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The Variability of the Reasons for Student Dropout in Distance Learning and the Prediction of Dropout-Prone Students.

, , , , , and . Machine Learning Paradigms, volume 158 of Intelligent Systems Reference Library, Springer, (2020)

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On Issues Concerning Cloud Environments in Scope of Scalable Multi-Projection Methods., , , and . SYNASC, page 343-350. IEEE, (2016)Special Section: Defining the grid, experiences and future trends., , and . Future Gener. Comput. Syst., 25 (4): 399-400 (2009)Java multithreading-based parallel approximate arrow-type inverses., and . Concurr. Comput. Pract. Exp., 20 (10): 1151-1172 (2008)Hybrid multi-projection method using sparse approximate inverses on GPU clusters., , and . Int. J. High Perform. Comput. Appl., (2020)On the design of two-stage multiprojection methods for distributed memory systems., , and . J. Supercomput., 76 (11): 9063-9094 (2020)Matching high performance approximate inverse preconditioning to architectural platforms., , , , , and . J. Supercomput., 42 (2): 145-163 (2007)A Distributed Normalized Explicit Preconditioned Conjugate Gradient Method., , and . Parallel Algorithms Appl., 19 (2-3): 163-174 (2004)Solving Non-linear Finite Difference Systems by Normalized Approximate Inverses., and . CIS, volume 3314 of Lecture Notes in Computer Science, page 111-117. Springer, (2004)An approximate inverse matrix technique for arrowhead matrices.. Int. J. Comput. Math., 70 (1): 35-45 (1998)An iterative spatial-stepping numerical method for linear elliptic PDEs using the Unified Transform., , , and . J. Comput. Appl. Math., (2019)