Abstract: Energy optimization is a critical challenge in wireless sensor networks (WSNs) due to its direct impact on the network lifetime. This paper proposes the use of the K-means algorithm combined ...

This project implements a CVaR-minimizing portfolio optimization model based on the seminal paper "Optimization of Conditional Value-at-Risk" by Rockafellar and Uryasev (2000). The analysis uses ...

An international team of mathematicians has developed a new predictive method called the Maximum Agreement Linear Predictor (MALP). Unlike traditional techniques that focus only on minimizing average ...

Abstract: Task-oriented digital semantic communication systems utilize neural networks to extract and transmit task-relevant features, which significantly improves the communication efficiency ...

Article Views are the COUNTER-compliant sum of full text article downloads since November 2008 (both PDF and HTML) across all institutions and individuals. These metrics are regularly updated to ...

This project solves a toy distribution optimization problem using linear programming. The goal is to maximize the number of toys distributed to children while respecting constraints related to factory ...

This paper deals with linear programming techniques and their application in optimizing lecture rooms in an institution. This linear programming formulated based on the available secondary data ...

When it comes to sustainability, technology can be a double-edged sword. While there are digital solutions that can help companies streamline operations and minimize their carbon footprints, it’s also ...