IEEE

Graph Neural Network Enabled Pinching Antennas

Abstract: The pinching-antenna system is a novel flexible-antenna technology, capable of both mitigating large-scale path loss and reconfiguring antenna arrays adaptively. Its core principle relies on ...
C&EN

NN-VRCTST: Neural Network Potentials Meet Variable Reaction Coordinate Transition State Theory for the Rate Constant Determination of Barrierless Reactions

MOX, Modeling and Scientific Computing, Dipartimento di Matematica, Politecnico di Milano, 20133 Milano, Italy ...
IEEE

Adaptive Recursive Terminal Sliding Mode Control for MEMS Gyros Using Improved Neural Network With Constrained Input Mapping

Abstract: To drive the gyroscope into a command vibration mode, and to simultaneously estimate the angular velocity, this paper proposes an improved fully adjusted neural network-based adaptive ...
Hosted on MSN

Deep Neural Network from Scratch in Python – Fully Connected Feedforward Tutorial

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 ...
Hosted on MSN

Understanding Forward Propagation in Neural Networks with Python – Step by Step

Learn how forward propagation works in neural networks using Python! This tutorial explains the process of passing inputs through layers, calculating activations, and preparing data for ...