March 13, 2007 Given the increasing use of algorithms, we expect many of our readers will rejoice at MathWorks newly announced introduction of two MATLAB builders that let application developers ...

A new cloud-based HVAC software, dubbed Predictive Energy Optimization (PEO), can help reduce energy consumption by 10%-25% in large-scale buildings during normal operations. The tool uses the data ...

I design and deploy high-impact systems built on LLMs, local inference, and agent architectures. Most scientific algorithms live in MATLAB - image processing and analysis, machine learning ...

A MATLAB implementation of the Pan-Tompkins algorithm for QRS detection in ECG signals. Recommended values are approximately 50–100. If you do not wish to exclude abnormal peaks from threshold updates ...

This script applies the Hill Climbing algorithm to a simple, convex function (an inverted paraboloid) defined as: $$f(x, y) = - (x^2 + y^2)$$ The global optimum is at ...

In a recent survey conducted by AccelChip Inc. (recently acquired by Xilinx), 53% of the respondents identified floating- to fixed-point conversion as the most difficult aspect of implementing an ...

If my previous article I showed how we can simulate an AMD Versal AI Engine graph in Python using Vitis™ Functional Simulation (VFS) feature. As this flow also supports MATLAB® I thought it might be ...

Abstract: This paper investigates reinforcement learning (RL) as a practical framework for achieving optimal adaptive control across several simple dynamical system models. All experiments were ...

Engineering researchers have developed a hybrid optimization algorithm combining grey wolf and artificial bee colony ...