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Transformers with Attentive Federated Aggregation for Time Series Stock Forecasting
Recent innovations in transformers have shown their superior performance in natural language processing (NLP) and computer vision (CV).
Radio Resource Allocation in 5G New Radio: A Neural Networks Based Approach)
In this paper, we address the problem of RBs allocation to UEs.
Detecting Features of Tools, Objects, and Actions from Effects in a Robot using Deep Learning
We confirm that the robot is capable of detecting features of tools, objects, and actions by learning the effects and executing the task.
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