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Fog computing through public-resource computing and storage., , and . FMEC, page 81-87. IEEE, (2017)WepSIM: An Online Interactive Educational Simulator Integrating Microdesign, Microprogramming, and Assembly Language Programming., , , and . IEEE Trans. Learn. Technol., 13 (1): 211-218 (2020)Convolution on neural networks for high-frequency trend prediction of cryptocurrency exchange rates using technical indicators., , , and . Expert Syst. Appl., (2020)Artificial intelligence for improved fitting of trajectories of elementary particles in inhomogeneous dense materials immersed in a magnetic field., , , , and . CoRR, (2022)Improving the Performance of Volunteer Computing with Data Volunteers: A Case Study with the ATLAS@home Project., , and . ICA3PP, volume 10048 of Lecture Notes in Computer Science, page 178-191. Springer, (2016)Analyzing the distributed training of deep-learning models via data locality., , , and . PDP, page 117-121. IEEE, (2021)Automated Segmentation of Computed Tomography Images with Submanifold Sparse Convolutional Networks., , , and . CoRR, (2022)Deep-learning-based decomposition of overlapping-sparse images: application at the vertex of neutrino interactions., , , , , and . CoRR, (2023)Image-Based Model Parameter Optimization Using Model-Assisted Generative Adversarial Networks., and . IEEE Trans. Neural Networks Learn. Syst., 31 (12): 5645-5650 (2020)A new volunteer computing model for data-intensive applications., , and . Concurr. Comput. Pract. Exp., (2017)