… that is specific to machine learning prediction algorithms (TRIPOD-ML… machine learning
prediction algorithms, establishing methodological and reporting standards for machine learning …

… algorithm and information system for convenient waste disposal for residents has to be applied.
Our study investigates using artificial intelligence algorithms for … We present an algorithm …

… Artificial Intelligence. We give strong arguments that the resulting AIξ model is the most
intelligent … construct a modified algorithm AIξtl, which is still effectively more intelligent than any …

… algorithms since measured target values are needed in training ANN and DT algorithms. …
Machine learning has roots in artificial intelligence, popularly known as AI.AI is a branch of …

… In order to make a fair comparison, this paper compares the proposed algorithms with the
existing algorithms in all the scenarios which have been used in Yu et al. (2008), Cheng et al. (…

… Afterward, we use de-identified data to develop the AI algorithm. Several machine learning
… based algorithm was adopted for our AI algorithm development due to best performance. …

Futurists predict that a third of jobs that exist today could be taken by Smart Technology,
Artificial Intelligence, Robotics, and Algorithms (STARA) by 2025. However, very little is known …

… Today's computer scientists apply multilayered algorithms using a variety of artificial neural
… artificial neural networks represent one of the most active areas of artificial intelligence (AI) …

… Neural Network (RNN), Artificial Neural Network (АNN), … five algorithms implemented and
соmраred based on the obtained оutрut ассurасy. ANN outperforms all the other algorithms …

Purpose: This concise review aims to explore the potential for the clinical implementation of
artificial intelligence (AI) strategies for detecting glaucoma and monitoring glaucoma …