This valuable study uses EEG and computational modeling to investigate hemispheric oscillatory asymmetries in unilateral spatial neglect. The work benefits from rare patient data and a careful ...

Abstract: Hard-to-model, often nonlinear dynamics limit the tracking performance of physical-model-based feedforward control in medical interventional X-ray (IX) systems. In this article, these ...

Neural networks are algorithmic systems created based on the principle of the human nervous system. They consist of many ...

I have come across various ways of defining Artificial Neural Networks (ANNs). Many of them miss a fundamental characteristic ...

Networks are systems comprised of two or more connected devices, biological organisms or other components, which typically ...

Abstract: Load forecasting is crucial and very vital in the management and in the control of power systems for appropriate distribution. There is need to have an efficient and accurate system to avoid ...

Learn how to build a fully connected, feedforward deep neural network from scratch in Python! This tutorial covers the theory, forward propagation, backpropagation, and coding step by step for a hands ...