Abstract: Efficient resource allocation in engineering projects is a challenging task, especially under budget constraints and tight deadlines. Improper resource management can lead to cost overruns ...

An interactive toolbox for standardizing, validating, simulating, reducing, and exploring detailed biophysical models that can be used to reveal how morpho-electric properties map to dendritic and ...

Abstract: This paper compared and contrasted ant colony algorithm (ACO) and genetic algorithm (GA) application in path planning. Through experiments in environments with different complexity, two ...

We use heuristics to solve computationally difficult problems where optimal solutions are too expensive to deploy, hard to manage, or otherwise inefficient. Our prior work, MetaOpt, shows many of the ...

Machine Learning From Scratch. Bare bones NumPy implementations of machine learning models and algorithms with a focus on accessibility. Aims to cover everything from linear regression to deep ...

Fueled by artificial intelligence (AI) algorithms, various AI embodiments, such as autonomous vehicles, robotic manipulators, and humanoid robots, have made significant advances yet remain far from ...

Advanced fraud detection system using machine learning to identify fraudulent transactions and activities. This project implements multiple machine learning algorithms including Random Forest, XGBoost ...