Artificial intelligence (AI) relies on data and algorithms. State-of-the-art (SOTA) AI smart
algorithms have been developed to improve the performance of AI-oriented structures …

The rapid development of Machine Learning (ML) has demonstrated superior performance
in many areas, such as computer vision and video and speech recognition. It has now been …

Hugging Face (HF) has established itself as a crucial platform for the development and
sharing of machine learning (ML) models. This repository mining study, which delves into …

High data quality is fundamental for today's AI-based systems. However, although data
quality has been an object of research for decades, there is a clear lack of research on …

Data pipelines are an integral part of various modern data-driven systems. However, despite
their importance, they are often unreliable and deliver poor-quality data. A critical step …

This review appraised current research on enzyme-embedded biodegradable agricultural
plastics and microbial degradation, given that the increased use of fossil-fuel-based plastics …

Background: As Machine Learning (ML) advances rapidly in many fields, it is being adopted
by academics and businesses alike. However, ML has a number of different challenges in …

Abstract Machine learning (ML) is extensively used in production-ready applications, calling
for mature engineering techniques to ensure robust development, deployment and …

Systems with artificial intelligence components, so-called AI-based systems, have gained
considerable attention recently. However, many organizations have issues with achieving …

Abstract Purpose for Review This perspective piece has two goals: first, to describe issues
related to artificial intelligence-based applications for cancer control as they may impact …