Keywords: machine learning, myopia, orthokeratology, axial length, high-order aberration. Citation: Zhang L, Gao M, Wang Y, Zhang S, Zhu H and Zhao Q (2025) Development and evaluation of machine ...

Machine Learning Models for Stock Prediction Stocks are random, yet at the same time, this randomness has a pattern, too. If your project aims to make a stock prediction, we recommend using either ...

Machine learning model helps forecasters improve confidence in storm prediction Accurate predictions of events like tornadoes and hail four to eight days in advance ...

Machine learning models are becoming increasingly important in the prediction of economic crises. The models, however, use datasets comprising a large number of predictors (features) which impairs ...

A breakthrough study by Tokyo Medical and Dental University has introduced a machine-learning model capable of predicting long-term visual impairment in patients with high myopia. Using a dataset of ...

2.3 Machine learning models. The cycloplegic SER was calculated as sphere +0.5*cylinder. Six ML models were evaluated for cycloplegic SER prediction: (1) linear regression: identifies linear ...

Additionally, four ensemble techniques were examined to improve the accuracy of single models. Of these, the neuro-fuzzy ensemble performed the best in both calibration and validation phases.

Computer scientists at MIT joined forces with oceanographers to develop a machine-learning model that incorporates knowledge from fluid dynamics to generate more accurate predictions about the ...

The project I was a part of, Tectonic, was using machine learning to advance earthquake prediction. The European Research Council was sufficiently convinced of its potential to award it a four ...