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Cloud Resources Usage Prediction Using Deep Learning Models.

, , , , , and . ACR, volume 700 of Lecture Notes in Networks and Systems, page 443-452. Springer, (2023)

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Predictive Auto-scaling: LSTM-Based Multi-step Cloud Workload Prediction., , , and . ICSOC Workshops, volume 14518 of Lecture Notes in Computer Science, page 5-16. Springer, (2023)Gaussian Kernel Parameter Optimization in One-Class Support Vector Machines., , and . IJCNN, page 1-8. IEEE, (2018)Cloud Resources Usage Prediction Using Deep Learning Models., , , , , and . ACR, volume 700 of Lecture Notes in Networks and Systems, page 443-452. Springer, (2023)Improving Weeds Detection in Pastures Using Illumination Invariance Techniques., , , , and . ACR, volume 956 of Lecture Notes in Networks and Systems, page 70-82. Springer, (2024)Feature Selection of Imbalanced Gene Expression Microarray Data., , and . SNPD, page 73-78. IEEE Computer Society, (2011)Online Tensor-Based Learning for Multi-Way Data., , and . CoRR, (2020)Multi-Objective Autoencoder for Fault Detection and Diagnosis in Higher-Order Data., and . IJCNN, page 1-8. IEEE, (2019)ABC-sampling for Balancing Imbalanced Datasets Based on Artificial Bee Colony Algorithm., , , and . ICMLA, page 594-599. IEEE, (2015)A Personalized Federated Learning Algorithm for One-Class Support Vector Machine: An Application in Anomaly Detection., , and . ICCS (4), volume 13353 of Lecture Notes in Computer Science, page 373-379. Springer, (2022)Correlated Multi-label Classification with Incomplete Label Space and Class Imbalance., , , and . ACM Trans. Intell. Syst. Technol., 10 (5): 56:1-56:26 (2019)