Results 221 to 230 of about 810,976 (388)
Uncovering Key Characteristics of Antibacterial Peptides through Machine Learning
Machine‐learning (ML) techniques using random forest classification models revealed key characteristics that predict effective antimicrobial peptides (AMPs) targeting Gram‐negative bacteria, Gram‐positive bacteria, and mycobacteria. The ideal cLogP (<$ < $−6) and net‐charge (≤+4) threshold was the same for all three targets with variations in the ...
Jooyoung Roh +2 more
wiley +1 more source
Landslide Susceptibility Assessment in Vietnam Using Support Vector Machines, Decision Tree, and Naïve Bayes Models [PDF]
Dieu Tien Bui +3 more
openalex +1 more source
Expecting individuals' body reaction to Covid-19 based on statistical Naïve Bayes technique. [PDF]
Rabie AH +3 more
europepmc +1 more source
E2E: An R Package for Easy‐to‐Build Ensemble Models
ABSTRACT E2E (Easy to Ensemble) is an R package aiming to provide researchers with a simple, user‐friendly, and comprehensive ensemble learning framework to address the challenges of existing tools when dealing with imbalanced data or constructing complex models.
Shanjie Luan, Ximing Wang
wiley +1 more source
Measuring Software Maintainability with Naïve Bayes Classifier. [PDF]
Iqbal N, Sang J, Chen J, Xia X.
europepmc +1 more source
Machine Learning for Predictive Modeling in Nanomedicine‐Based Cancer Drug Delivery
The integration of AI/ML into nanomedicine offers a transformative approach to therapeutic design and optimization. Unlike conventional empirical methods, AI/ML models (such as classification, regression, and neural networks) enable the analysis of complex clinical and formulation datasets to predict optimal nanoparticle characteristics and therapeutic
Rohan Chand Sahu +3 more
wiley +1 more source
Abstrak - Perkembangan teknologi informasi yang pesat memerlukan evolusi metode pendidikan untuk mengintegrasikan kemajuan tersebut. E-learning telah menjadi lingkungan belajar penting yang memanfaatkan teknologi untuk meningkatkan hasil pendidikan.
openaire +2 more sources
Facial biotype classification for orthodontic treatment planning using an alternative learning algorithm for tree augmented Naive Bayes. [PDF]
Ruz GA, Araya-Díaz P, Henríquez PA.
europepmc +1 more source
Abstract Objective Accurate classification of salivary gland tumors is critical to guiding appropriate management. This study evaluates the diagnostic performance of artificial intelligence models in classifying salivary gland tumors on ultrasound. Data Sources A comprehensive search of CINAHL, PubMed, and Scopus was conducted through January 28, 2025.
Isabelle J. Chau +5 more
wiley +1 more source

