Machine learning is an essential component of artificial intelligence. Whether it’s powering recommendation engines, fraud detection systems, self-driving cars, generative AI, or any of the countless ...

This document provides a detailed explanation of the MATLAB code that demonstrates the application of the Koopman operator theory for controlling a nonlinear system using Model Predictive Control (MPC ...

Safety Leadership, Worker Behaviour, Safety Performance, Integrative Model, Ghanaian Construction Industry Share and Cite: ...

It’s far from news to any business leader that our current rate of cyberattacks has become a serious problem. In 2024, 72% of organizations reported an increase in cyber risks, driven by the growing ...

Introduction: This work presents an approach to collision avoidance in multi-agent systems (MAS) by integrating Conflict-Based Search (CBS) with Model Predictive Control (MPC), referred to as Conflict ...

A machine learning web application that predicts resale flat prices in Singapore using historical HDB data. Built with Scikit-learn and Streamlit, the app helps buyers and sellers estimate market ...

Creative Commons (CC): This is a Creative Commons license. Attribution (BY): Credit must be given to the creator. In this research work authors have experimentally validated a blend of Machine ...

Predictive genomics enhances breast cancer management by integrating predictive medicine, personal genomics, and translational bioinformatics for personalized care. Key applications include ...

Zohar Bronfman is the cofounder and CEO of Pecan AI, a predictive analytics platform making advanced AI accessible to business teams. For decades, predictive analytics was a capability largely ...

Abstract: This paper proposes a novel model predictive control design for Internet of Things (IoT) applications by using the generalized opposition-based learning particle swarm optimization algorithm ...