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 ...

The final, formatted version of the article will be published soon. The large-scale integration of distributed renewable energy increases operational uncertainty in power systems, thereby imposing ...

In this tutorial, we implement an end-to-end Direct Preference Optimization workflow to align a large language model with human preferences without using a reward model. We combine TRL’s DPOTrainer ...

EPTHenOpt is a powerful Python package designed for the synthesis and optimization of Heat Exchanger Networks (HEN). The goal of HEN synthesis is to design a network of heat exchangers that minimizes ...

Abstract: The growing demand for high-bandwidth, zero-trouble services is imposing unprecedented challenges on optical communication networks. Traditional human-centric network management approaches ...