Artificial intelligence is now better than humans at identifying many patterns, but evolutionary relationships have always ...

Glioblastoma is a devastatingly effective brain cancer. Doctors can cut it out or blast it with radiation, but that only buys time. The cancer has an insidious ability to hide enough tumor cells in ...

Machine learning algorithms have been used to predict cancer progression, identify early signs of Parkinson’s disease, and ...

Researchers have developed a maximum power point tracking algorithm based on the social hierarchy and hunting strategy of grey wolves. When tested under realistic shading conditions, the grey wolf ...

Rice University computer scientists are tackling “quantum adversaries” who seek to exploit weaknesses in quantum computers ...

A device made from superconducting qubits could prove a powerful technology for enabling practical quantum computing or more ...

If you’ve ever shuffled a deck of playing cards, you’ve most likely created a unique deck. Although this claim sounds ...

This project primarily used the small dataset with a high illicit ratio, which contains 5,078,345 financial transactions spanning 10 days.It effectively addresses challenges such as overlap and ...

Stage 3: Implementation of random algorithm and variations of genetic algorithm configurations The computational codes for both the RA and the GA were developed in Python using the necessary packages ...

Abstract: To compare the accuracy of the Random Forest algorithm with the Novel Logistic Regression Technique in order to predict the data quality issues for the voice emotion identification system.

Abstract: Random Forest is an efficient machine learning classification algorithm known for its high accuracy and interpretability. However, the traditional voting mechanism in the standard Random ...