IEEE

Comparing Logistic Regression Algorithm with K-Nearest Neighbor Algorithm to Extract Features from Images for Prescriptive Analysis of Mushroom Contamination

Abstract: In this project, we aimed to assess mushroom contamination by analyzing images using two different algorithms: a novel K-Nearest Neighbour algorithm and a traditional Logistic Regression ...
SciELO

Predicting compressive strength of concrete with fly ash, metakaolin and silica fume by using machine learning techniques

The compressive strength (CS) is the most important parameter in the design codes of reinforced concrete structures. The development of simple mathematical equations for the prediction of CS of ...
The Conversation

How can Canada become a global AI powerhouse? By investing in mathematics

Deanna Needell has received funding from the National Science Foundation and the Congressionally Directed Medical Research Programs (US). Kristine Bauer receives funding from NSERC to support her ...
IEEE

Enhancing Breast Cancer Prediction with an Advanced K-Nearest Neighbors (KNN) Algorithm Integrated with Feedback Support Mechanism

Abstract: Cancer poses a formidable global health challenge characterized by a persistent rise in mortality rates, with breast cancer emerging as the predominant form in 2020. Effectively addressing ...