Abstract: The modern power grid demands innovative solutions to improve its resilience and reliability. This research aims to develop a novel approach to real-time self-healing in power distribution ...

I started a self-study path to learn the theoretical fundamentals of Data Science and Machine Learning. I have also been playing with Python ever since, with coding exercises during the “Friday 10% ...

if you want to become a software engineer and you don't have a road map you're pretty much already screwed I can speak from experience because this is the exact issue I had when I started learning how ...

Microsoft Excel is an important skill to develop and is used extensively in the Level 1 Physics labs at Durham for data analysis and graph plotting. Below is an introductory guide to the software. The ...

The study of planetary atmospheres is crucial for understanding the origin, evolution, and processes that shape celestial bodies like planets, moons and comets. The interpretation of planetary spectra ...

TFCat (Time-Frequency Catalogue) is a data interchange format based on JSON (JavaScript Object Notation), which has been initially designed for exchanging low frequency radio events and features. It ...

Abstract: This paper describes how to model a Lithium-ion battery’s internal characteristics based on electrochemical impedance spectroscopy (EIS) data and their fitting into an Equivalent Circuit ...

Note: This work is still in the testing phase. This is a tutorial on how to use Azure Machine Learning SDK for Python (AML SDK) to operationalize (Figure 1) pre-trained R models at scale in the cloud ...