Genetic AI is pushing beyond the familiar realm of deep learning and opening up entirely new dimensions for problem-solving, ...

Abstract: Designing an effective machine learning model for prediction or classification ... utilization of an AML that has been developed with a meta-heuristic algorithm namely Genetic Programming ...

Abstract: An improved hybrid grey wolf optimization algorithm (IHGWO) is proposed to solve the problem of population diversity, imbalance of exploration and development capabilities, and premature ...

This study contributes to a comprehensive understanding of the genetic mechanisms of double-coated fleece formation in Hetian sheep, and provides insights for the development of machine ...

SAVANA uses a machine learning algorithm to identify cancer-specific ... to improve researchers' ability to detect complex genetic alterations in cancer genomes. However, the complex structure ...

Here a machine learning algorithm will be trained to predict a liver disease in patients using a data-set collected from North East of Andhra Pradesh, India. Using machine learning models to predict ...

A predictive model for HCM was developed through systematic evaluation of 113 combinations of 12 machine-learning algorithms, employing 10-fold cross-validation on training datasets and external ...

Machine learning is the practice of teaching a computer to learn. The concept uses pattern recognition, as well as other forms of predictive algorithms, to make judgments on incoming data. This field ...