A NIMS research team has developed an automated high-throughput system capable of generating datasets from a single sample of ...

Learn how to implement the Adam optimization algorithm from scratch in Python! This step-by-step guide breaks down the math, ...

Introduction: Mapping forest fire risk is essential for effective prevention and efficient resource allocation, as it accurately assesses fire hazards across regions. This study conducts a comparative ...

A long-running cyber-espionage group known as Confucius has introduced new techniques in its campaigns against Microsoft Windows users. First identified in 2013, the group has consistently targeted ...

In this study, we developed a dataset of behaviors associated with lameness in dairy cows. The data collection utilized IoT collars that were placed around the necks of 10 dairy cows. This publicly ...

Abstract: This study introduces an integrated framework of traditional and advanced enhancement algorithms to address common Magnetic Response Imaging (MRI) challenges such as noise, limited ...

This request was rejected before here (#1523) because preprocessing the image is not useful for OCR accuracy anymore. I agree with this. However preprocessing can still be beneficial for image ...

This article is all about using Python for cyber security, covering both how to attack and how to defend. We’ll look at the basics of offensive security, how Python fits into that, and even some of ...