The Identification and Analysis of the Centers of Geographical Public Opinions in Flood Disasters Based on Improved Naïve Bayes Network. [PDF]
Tang H, Xu H, Rui X, Heng X, Song Y.
europepmc +1 more source
This study compares the effectiveness of Random Forest and Naïve Bayes algorithms in classifying WhatsApp messages into three categories: normal, promotional, and fraudulent messages. With over 2.78 billion active users worldwide and 90% of Indonesian internet users utilizing WhatsApp, the platform's end-to-end encryption creates challenges for ...
Abdul Hadi, Mukti Qamal, Yesy Afrillia
openaire +1 more source
ABSTRACT Contrast‐induced nephropathy (CIN) is an important cause of acute kidney injury following exposure to iodinated contrast media, and effective preventive strategies remain limited. This study investigated the renoprotective effects of riociguat, a soluble guanylate cyclase stimulator, in an experimental rat model of CIN and explored machine ...
Mustafa Begenc Tascanov +10 more
wiley +1 more source
Measuring Software Maintainability with Naïve Bayes Classifier. [PDF]
Iqbal N, Sang J, Chen J, Xia X.
europepmc +1 more source
Underground Lag: Fungal Community and Edaphic Legacies After Disturbance
ABSTRACT Páramos are neotropical mountain ecosystems that regulate water and store large amounts of carbon, but are increasingly degraded by agriculture and grazing. Although native vegetation often recolonizes after abandonment, belowground recovery remains poorly understood.
Wilmer Dajhan Navarrete‐López +6 more
wiley +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
Klasifikasi Tingkat Kecanduan Gadget Pada Balita Menggunakan Algoritma Naïve Bayes [PDF]
Kecanduan gadget pada balita merupakan isu yang semakin mengkhawatirkan di era digital ini. Penggunaan gadget yang berlebihan pada usia dini dapat berdampak negatif pada perkembangan kognitif, emosional, dan sosial anak.
Thamrin, Alwi Aryusya
core
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
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
MatterMind: A User‐Friendly Material Design Platform Assisted by Large Language Model
The lack of user‐friendly tool interfaces has restricted the popularization of data‐driven methods in scientific research. In this study, we present MatterMind, a user‐friendly, agentic interface that closes the loop between first‐principles computation, generative structure design, and large language model (LLM) analysis. ABSTRACT Machine learning and
Kaiyang Xu +3 more
wiley +1 more source

