We propose an image processing method for ordering anterior chamber optical coherence tomography (OCT) images in a fully unsupervised manner. The method consists of three steps: Firstly we preprocess ...

Cybercriminals continue to disrupt current defense mechanisms through new methods by exploiting vulnerabilities, especially in the overlapping areas of machine and human interactions. Cybersecurity ...

An efficient deep learning method is presented for distinguishing microstructures of a low carbon steel. There have been numerous endeavors to reproduce the human capability of perceptually ...

Unsupervised learning is a type of machine learning algorithm that is becoming more popular as the amount of data being produced continues to increase. Creating customer profiles is a surprisingly ...

Machine learning, the subset of artificial intelligence that teaches computers to perform tasks through examples and experience, is a hot area of research and development. Many of the applications we ...

Imagine a child visiting a farm and seeing sheep and goats for the first time. Their parent points out which is what, helping the child learn to distinguish between the two. But what happens when the ...

A new editorial paper was published in Oncotarget's Volume 14 on February 11, 2023, entitled, "Unlocking the potential of molecular-driven stratification for osteosarcoma treatment and prognosis." ...

It may have taken a pandemic, changing the very fabric of the workplace, but at last, we’re realizing the promise of unsupervised AI. For the first time, companies are leapfrogging to success by ...

Unsupervised learning is used mainly to discover patterns and detect outliers in data today, but could lead to general-purpose AI tomorrow Despite the success of supervised machine learning and deep ...

Unsupervised learning is a powerful type of machine learning where algorithms analyse and find patterns in data without any human intervention or prior knowledge of categories. Unlike supervised ...