Results 81 to 90 of about 48,962 (256)
Human Activity Recognition on Smartphones using Innovative Logistic Regression and Comparing Accuracy of Naive Bayes Algorithm [PDF]
The objective of this study is to compare the Naive Bayes algorithm with Innovative Logistic Regression in order to enhance human activity identification for sitting and walking.
Reddy L. Anand Kumar, Sadagopan P.
doaj +1 more source
ABSTRACT Genetic modifiers of Duchenne muscular dystrophy (DMD) that alter disease severity or response to therapy have been reported using natural history or registry data sets of older corticosteroid‐treated patients. We tested associations of genetic modifiers on motor function outcomes in young (4 to < 7 years) steroid naïve clinical trial ...
Utkarsh J. Dang +16 more
wiley +1 more source
Implementasi Naïve Bayes dan Decision Tree Untuk Klasifikasi Jenis Tanaman
Abstrak Sektor pertanian berkontribusi penting bagi perekonomian Indonesia, namun pemilihan tanaman masih mengandalkan cara tradisional yang kurang efisien.
Roni Roni +2 more
doaj +1 more source
Circulating Exosomes Drive Persistent Neuronal Dysfunction in Post‐Herpetic Neuralgia Patients
Proposed model of exosome‐mediated neuronal dysfunction in post‐herpetic neuralgia (PHN). (1) Circulating, non‐pathogenic exosomes maintain homeostatic processes in healthy skin, where sensory nerve fibers innervate the epidermis and dermis. (2) During acute zoster, reactivating varicella zoster virus (VZV) travels down neurites to the skin causing ...
Christy S. Niemeyer +14 more
wiley +1 more source
Naive Bayes Learning of Dermoscopy Images
We show naive Bayes models of the melanoma skin cancer represented by dermoscopy images from two different repositories. The dermoscopy images of each data set are recursively analyzed by the Mallat wavelet tree transform to extract a set of spatio-frequency filters, which are used to build energy based (rotation invariant) features.
Grzegorz Surówka, Maciej Ogorzalek
openaire +3 more sources
This study aimed to investigate the effects of cellulase and Lactobacillus plantarum on the silage quality, in situ digestibility, and microbial communities of apple pomace silage. The combined supplementation of cellulase and Lactobacillus plantarum in apple pomace silage improved fermentation quality and enhanced rumen utilization efficiency.
Zhuangzhuang Liu +4 more
wiley +1 more source
Objective Microbial small RNAs can regulate human genes. Higher plasma concentrations of microbial transfer RNA (tRNA)‐derived RNA‐1 (tDR‐1) were previously associated with lower rheumatoid arthritis (RA) disease activity. This study examined whether tDR‐1 concentrations differ in anticyclic citrullinated peptide‐3 positive (CCP3+) at‐risk individuals (
Anastasiia Phothisane +11 more
wiley +1 more source
ABSTRACT Understanding the evolving emotional landscape surrounding climate change is critical for developing effective environmental strategies and communication. This study offers an analysis of public emotions toward human‐induced climate change by leveraging big data analytics and machine learning techniques on social media content from platform X.
Qingfeng Tian +5 more
wiley +1 more source
Weighted naïve bayes multi-user classification for adaptive authentication
Machine learning classification algorithms have been extensively utilized in addressing user authentication challenges. Nonetheless, a majority of solutions categorize users into three classes, whereas adaptive authentication scenarios necessitate ...
Prudence M Mavhemwa +3 more
doaj +1 more source
Mitigating measurement error in misspecified small area models
Abstract In the framework of Small area estimation, we consider an area‐level model where a subset of covariates is measured with error. The extent of the error is assumed to be constant throughout the areas, and it is expressed by a scalar parameter γ$$ \gamma $$, which multiplies the deterministic covariance matrix of the estimator of the true ...
Diego Battagliese +3 more
wiley +1 more source

