Recent years have seen a dramatic rise in the popularity of autonomous mobile robots
(AMRs) due to their practicality and potential uses in the modern world. Path planning is …

Early fault detection in power electronic systems (PESs) to maintain reliability is one of the
most important issues that has been significantly addressed in recent years. In this article …

A deep genetic algorithm (GA) is proposed to optimize the high-speed channel for signal
integrity. In the traditional genetic algorithm-based high-speed channel optimization method …

A database is presented that allows the investigation of machine learning (ML) tools and
techniques in the signal integrity (SI), power integrity (PI), and electromagnetic compatibility …

While the recurrent neural network (RNN) architecture has been the go-to model in transient
modeling, recently the temporal convolutional network (TCN) has been garnering more …

Transient simulations of high-speed channels can be very time intensive. Recurrent neural
network (RNN) based methods can be used to speed up the process by training a RNN …

In this article, a policy-based reinforcement learning (RL) method for optimizing through
silicon via (TSV) array design in high-bandwidth memory (HBM) considering signal integrity …

An iterative optimization for decoupling capacitor placement on a power delivery network
(PDN) is presented based on Genetic Algorithm (GA) and Artificial Neural Network (ANN) …

Microsystems are widely used in 5G, the Internet of Things, smart electronic devices and
other fields, and signal integrity (SI) determines their performance. Establishing accurate …

This article presents a methodology for the modeling of high-speed systems using machine
learning methods. A multilayer perceptron neural network is used to map the input-output …