Implemented Preprocessing steps, Feature Extraction techniques and Naive Bayes Classifier in C++. Moreover, we have also implemented all the steps using python for comparative analysis. One of the ...
This work leveraged predictive modeling techniques in machine learning (ML) to predict heart disease using a dataset sourced from the Center for Disease Control and Prevention in the US. The dataset ...
Abstract: Software developers strive to build high-performance and quality software with a very high degree of coherence among its components, simplified structure, and reduced complexity. A ...
A full-code demo from Dr. James McCaffrey of Microsoft Research shows how to predict the type of a college course by analyzing grade counts for each type of course. General naive Bayes classification ...
Structure-from-Motion (SfM) photogrammetry is a time and cost-effective method for high-resolution 3D mapping of cold-water corals (CWC) reefs and deep-water environments. The accurate classification ...
Potentially inappropriate prescribing (PIP), including potentially inappropriate medications (PIMs) and potential prescribing omissions (PPOs), is a major risk factor for adverse drug reactions (ADRs) ...
1 Electronics and Communications Department, Al-Safwa High Institute of Engineering, Qalyubia, Egypt. 2 Electrical Engineering Department, Faculty of Engineering at Shoubra, Benha University, Cairo, ...
It seems that currently every conference hosts sessions on artificial intelligence (AI) and machine learning (ML) and that these terms are increasingly pervading our literature. However, AI and ML are ...
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