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, ...
Career confusion is almost a rite of passage for young professionals. Whether it's deciding to switch jobs, negotiate a raise, say yes to a side project, or accept a leadership role, the pressure to ...
Dr. James McCaffrey presents a complete end-to-end demonstration of decision tree regression from scratch using the C# language. The goal of decision tree regression is to predict a single numeric ...
ABSTRACT: This study presents a comprehensive and interpretable machine learning pipeline for predicting treatment resistance in psychiatric disorders using synthetically generated, multimodal data.
ABSTRACT: Recent applications of Structure-from-Motion (SfM) photogrammetry in forestry have highlighted its robustness in tree mensuration. This study proposes an optimized image acquisition protocol ...
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 ...
This workshop on Engineering Design Optimization using MATLAB® and Python™ addresses the shape optimization of mechanical components for strength. Python ...
Abstract: The application of high-speed systems is associated with a high degree of design complexity. In particular, maintaining the signal integrity (SI) must be ensured by detailed simulations ...
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