Deep neural networks were black boxes traditionally. The mantra "you feed them data, you'll get a working model, but you cannot explain how it works" is still very common today. Fortunately, however, ...

Abstract: This paper proposes a profit maximization model for a Decentralized Electric Vehicle Supply Equipment (D-EVSE) equipped with a renewable energy sources system such as a solar energy system.

If you were an owner of a newly set-up company, you would most likely be focused on building brand awareness to reach out to as many people as possible. But how can you do so with budget constraints?

The study considers building a dynamic model of profit maximization for the car-sharing system and its verification on the example of implementing such a system in Astana (Republic of Kazakhstan). The ...

The aim of this project is to implement the Expectation Maximization (EM) algorithm to estimate the parameters of a Gaussian mixture model (GMM) from a set of observable data. The GMM model is ...