Digital learning has become the norm in education, but evaluating its effectiveness remains a challenge. In K-12 settings, ...

There are huge opportunities for AI to improve and democratise financial services, particularly financial advice. But is the ...

To address these challenges, we propose a novel Deep Learning-Augmented algorithm for automated sleep spindle detection in ADOC patients. This method combines Convolutional Neural Networks with ...

Researchers have found in a new study that Machine learning shows promise in predicting treatment outcomes in early childhood ...

patients using popular modified decision tree by using genetic algorithm. Performance analysis of the proposed method is compared against data-mining approach, probability rule base classification; ...

Integrating drilling signals with an AdaBoost algorithm, this research improves real-time predictions of rock strength, ...

Unexpected responses in Google's AI Overviews may show how the ranking algorithm interprets user queries and selects answers ...

A team of biomedical researchers trained a machine learning algorithm to identify more than two dozen viable treatments for diseases caused by zoonotic pathogens that can jump from animal hosts to ...

Stores operated by Optus and Apple became inundated with tiny migratory tree martins after the City ... "This is an ill-thought-out and blunderous decision by the City of Adelaide," it said.

Decision Trees are non-parameterized supervised algorithms used for classification and regression procedures. It is composed of a system of nodes representing tests on attributes, edges representing ...

Performance Metrics of the Model: The effectiveness of AI-based hardware Trojan (HT) detection models can be assessed by a range of classification metrics, including accuracy, precision, recall (true ...