Abstract: The use machine learning-assisted optimization methods in the design of antennas have been increasing. Although neural networks (NNs) and Gaussian process regression (GPR) are widely used, ...

Last month, OpenAI published a usage study showing that nearly 15 percent of work-related conversations on ChatGPT had to deal with “making decisions and solving problems.” Now comes word that at ...

A week ago, Google disabled the ability to see 100 results per page by using a URL parameter in the Google Search URL bar. Since that change, rank-checking tools have become an absolute mess, and even ...

ABSTRACT: This study presents a comprehensive and interpretable machine learning pipeline for predicting treatment resistance in psychiatric disorders using synthetically generated, multimodal data.

Junior faculty are often told to protect their time, but nobody provides instructions for how to do so. As an assistant professor at a public university, I have struggled to balance my course load, my ...

Traditional approaches to analytical method optimization (e.g., univariate and “guess-and-check”) can be time-consuming, costly, and often fail to identify true optima within the parameter space.

The City of Plymouth is the first in Minnesota to help monitor tree health with data using artificial technology. Leaf by leaf, Conor Nolan, who's a navigator for Greehill Smart Tree Inventories, ...

This repository contains the MATLAB source code and associated data files to support the findings of the paper: [To be included upon publication]. The code facilitates the simulation, analysis, and ...