Research indicates that repetition and distributed practice are effective methods for strengthening memory and enhancing ...

AI transforms RF engineering through neural networks that predict signal behavior and interference patterns, enabling proactive system optimization and enhanced performance. The convergence of machine ...

When Sally Nix found out that her health insurance company wouldn’t pay for an expensive, doctor-recommended treatment to ease her neurological pain, she prepared for battle. It took years, a chain of ...

Understand the Maths behind Backpropagation in Neural Networks. In this video, we will derive the equations for the Back Propagation in Neural Networks. In this video, we are using using binary ...

ABSTRACT: Groundwater is an essential resource for rural dwellers in Burkina Faso, a country with limited surface water availability. However, localising and accessing groundwater is challenging. This ...

A team of astronomers led by Michael Janssen (Radboud University, The Netherlands) has trained a neural network with millions of synthetic black hole data sets. Based on the network and data from the ...

1 Department of Sport Science Institute, Beijing Sport University, Beijing, China 2 Beijing Higher School Engineering Research Center of Sport Nutrition, Beijing Sport University, Beijing, China ...

Abstract: In recent years, soft manipulators have attracted much attention in the field of robotics research due to their favorable flexibility, good environmental adaptability, and safety in human ...

ABSTRACT: Using circuit diagrams presented in literature, two types of Constant Current (CC) charge controllers were built for experimental purposes and used to charge and discharge batteries at ...

Abstract: A back-propagation neural network is applied to a nonlinear self-tuning tracking problem. Traditional self-tuning adaptive control techniques can only deal with linear systems or some ...