Finding patterns and reducing noise in large, complex datasets generated by the gravitational wave-detecting LIGO facility ...

The real power of a digital twin lies in its interactivity. Operators can interact with the model to test hypothetical ...

So, what is machine learning in the first place? And if the machines are so smart, why are they still so dumb? The point of ...

The year 2024 is the time when most manual things are being automated with the assistance of Machine Learning algorithms. You’d be surprised at the growing number of ML algorithms that help play chess ...

You can find here the implementation of my knowledge of basic machine learning algorithms and metrics, data analysis, and applying hyperparametric optimization techniques to improve model performance.

I. Rahmati, H. Shahmansouri, and A. Movaghar, "QECO: A QoE-Oriented Computation Offloading Algorithm based on Deep Reinforcement Learning for Mobile Edge Computing". @article{rahmati2024qeco, ...

machine learning algorithms, and network routing. The core of the MQO problem lies in how to effectively handle multiple query requests to minimize the overall computational cost or time.