Abstract: This paper presents the topology and machine learning based power control of unified bi-modular inverter for drive and charge operations of PV assisted battery electric vehicle. A multilevel ...

In some ways, Java was the key language for machine learning and AI before Python stole its crown. Important pieces of the data science ecosystem, like Apache Spark, started out in the Java universe.

This project focuses on analyzing consumer shopping behavior to help a retail company enhance sales, customer satisfaction, and loyalty. Using Python, the data was cleaned and processed before being ...

In late September 2017, Palestinian American activist Linda Sarsour, once the darling of the Women’s March and the self-declared face of the "resistance" against Donald Trump, was facing mounting ...

Across the nation, electric power providers are grappling with an uncertain future as the grids that form the backbone of our energy infrastructure age and confront unprecedented new demands from ...

The Maritime and Coastguard Agency (MCA) has saved more than three thousand hours following the successful rollout of a data upskilling program in partnership with Multiverse. The training of the ...

If you’re learning machine learning with Python, chances are you’ll come across Scikit-learn. Often described as “Machine Learning in Python,” Scikit-learn is one of the most widely used open-source ...

Wireless power transfer (WPT) systems transmit electrical energy from a power source to a load without physical connectors or wires, using electromagnetic fields. This idea goes as far back as the ...

The quantum tangent kernel method is a mathematical approach used to understand how fast and how well quantum neural networks can learn. A quantum neural network is a machine learning model that runs ...

Peer learning is widely practiced in education-based environments. I know that I took advantage of its benefits many times by joining study groups. Somehow, my peers had a much better way of ...