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Chapter Nine - "Last mile" optimization of edge computing ecosystem with deep learning models and specialized tensor processing architectures., , , , , , и . Adv. Comput., (2021)Parallel Statistical and Machine Learning Methods for Estimation of Physical Load., , , , , , и . CoRR, (2018)Capsule Deep Neural Network for Recognition of Historical Graffiti Handwriting., , , , , и . CoRR, (2018)Convolutional and Recurrent Neural Networks for Physical Action Forecasting by Brain-Computer Interface., , , , , и . IDAACS, стр. 973-978. IEEE, (2021)Performance Evaluation of Deep Learning Networks for Semantic Segmentation of Traffic Stereo-Pair Images., , , , , , и . CoRR, (2018)Deep Learning for Fatigue Estimation on the Basis of Multimodal Human-Machine Interactions., , , , , и . CoRR, (2018)Hybrid Convolutional, Recurrent and Attention-Based Architectures of Deep Neural Networks for Classification of Human-Computer Interaction by Electroencephalography., , , и . HCI (44), том 13519 из Lecture Notes in Computer Science, стр. 453-468. Springer, (2022)Gamification for Education of the Digitally Native Generation by Means of Virtual Reality, Augmented Reality, Machine Learning, and Brain-Computing Interfaces in Museums., , , , , , , , , и . CoRR, (2018)Impact of Mixed Multimodalities and Size Dependence on Performance of Object Detection on Multimodal Satellite Imagery*., , , , , и . IEEE Big Data, стр. 2157-2162. IEEE, (2023)Batch Size Influence on Performance of Graphic and Tensor Processing Units during Training and Inference Phases., , , , , , и . CoRR, (2018)