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Traction Power System Capacity Limitations at Various Traffic Levels

The aim, and main contribution, of this paper is to propose a fine-tuned fast approximator, based on neural networks, that uses aggregated traction system information as inputs and outputs. This approximator can be used as an Continue reading

Real-Time Simulation of Passage-of-Time Encoding in Cerebellum Using a Scalable FPGA-Based System

The cerebellum plays a critical role for sensorimotor control and learning. However, dysmetria or delays in movements’ onsets consequent to damages in cerebellum cannot be Continue reading