Abstract: Partial discharge (PD) can characterize and affect the insulation performance of distribution transformers. However, PD signals have the problem of a single-mode sparse dictionary with a ...

Machine learning is an essential component of artificial intelligence. Whether it’s powering recommendation engines, fraud detection systems, self-driving cars, generative AI, or any of the countless ...

So, you’re looking to learn Python, huh? It’s a pretty popular language, and for good reason. It’s used for all sorts of things, from making websites to crunching numbers. Finding the right book can ...

ABSTRACT: To understand the impact of Generative Artificial Intelligence (GenAI) on the academic writing of English as a Foreign Language (EFL) students in higher education, more research is required ...

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.

Dictionary learning has emerged as a pivotal technique in modern image processing, forming the basis for effective sparse representation in image classification tasks. By constructing an overcomplete ...

Motivation: Sparse matrices containing mostly zeros are commonplace in many applications of data science and machine learning (e.g., adjacency matrices of graphs, one-hot-encoded data, sparsified ...

Abstract: Sparse dictionary learning is widely used in image processing tasks such as denoising, classification and image enhancement. However, learning features from X-ray images can be challenging ...

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