Unsupervised learning is a branch of machine learning that focuses on analyzing unlabeled data to uncover hidden patterns, structures, and relationships. Unlike supervised learning, which requires pre ...
ABSTRACT: Foot-and-Mouth Disease (FMD) remains a critical threat to global livestock industries, causing severe economic losses and trade restrictions. This paper proposes a novel application of ...
What if you could build an autonomous system that not only executes complex, long-running tasks but also adapts to evolving challenges with remarkable precision? Enter Deep Agents, a innovative ...
In this tutorial, we explore the power of self-supervised learning using the Lightly AI framework. We begin by building a SimCLR model to learn meaningful image representations without labels, then ...
Abstract: This study introduces an automated system employing deep learning-based object detection to identify dental caries from dental radiographs, leveraging advancements in self-supervised ...
(a) Data processing including alignment, cropping, and other operations on the raw data to make it applicable to SR tasks. (b) Adaptation to data in multiple scenarios by using various types of SR ...
A few years ago, I followed the life of a cheese curd, from milk on a dairy farm to fresh cheese in Ellsworth, Wis., to deep-fried glory at the Fair. On the Fairgrounds, though, there are plenty of ...
A new AI-powered, speech-based screening tool could help people assess whether they are showing signs of Parkinson's disease at home. Developed as part of a study by University of Rochester computer ...
Some results have been hidden because they may be inaccessible to you
Show inaccessible results