Results 81 to 90 of about 60,977 (298)
Electrospinning allows the fabrication of fibrous 3D cotton‐wool‐like scaffolds for tissue engineering. Optimizing this process traditionally relies on trial‐and‐error approaches, and artificial intelligence (AI)‐based tools can support it, with the prediction of fiber properties. This work uses machine learning to classify and predict the structure of
Paolo D’Elia +3 more
wiley +1 more source
Using Unlabeled Data to Improve Classification in the Naive Bayes Approach: Application to Web Searc [PDF]
This paper introduces a method to build a classifier based on labeled and unlabeled data. We set up the EM algorithm steps for the particular case of the naive Bayes approach and show empirical work for the restricted web page database.
Stella M. Salvatierra
core
Analisis Sentimen Ulasan Game Stumble Guys Pada Playstore Menggunakan Algoritma Naïve Bayes
Perkembangan teknologi yang pesat mempermudah akses ke berbagai hiburan digital, termasuk game online seperti Stumble Guys, yang telah diunduh lebih dari 163 juta kali dan mendapatkan ulasan beragam di Google Play Store.
Awang Herjunie Nurdy +2 more
doaj +1 more source
Abstrak Setiap bulannya bank syariah mandiri cabang luwuk menerima proposal kredit (NAP) dari nasabah dalam jumlah yang terus meningkat dan perlu respon yang cepat.
Sumarni Adi, Edi Winarko
doaj +1 more source
Heat generation in lithium‐ion batteries affects performance, aging, and safety, requiring accurate thermal modeling. Traditional methods face efficiency and adaptability challenges. This article reviews machine learning‐based and hybrid modeling approaches, integrating data and physics to improve parameter estimation and temperature prediction ...
Qi Lin +4 more
wiley +1 more source
This study aims to develop a Natural Language Processing (NLP)-based feature extraction algorithm optimized for personality type classification in adolescents.
Irzal Arief Wisky +2 more
doaj +1 more source
Predictive models successfully screen nanoparticles for toxicity and cellular uptake. Yet, complex biological dynamics and sparse, nonstandardized data limit their accuracy. The field urgently needs integrated artificial intelligence/machine learning, systems biology, and open‐access data protocols to bridge the gap between materials science and safe ...
Mariya L. Ivanova +4 more
wiley +1 more source
Muliadi. Penerapan Algoritma Naive Bayes pada penilaian kinerja pemerintah Desa dalam Pengelolahan dana Desa ( dibimbing oleh Syafrudin Syarif dan Agussalim)Tujuan dari penelitian ini untuk mengklafikasikan pemerintah desa mana yang baik dan buruk dalam ...
Muliadi, Syarifuddin Syarif, Agussalim
core
Komparasi Algoritma Naïve Bayes dan Support Vector Machine (SVM) pada Analisis Sentimen Capcut
Capcut adalah platform pengeditan video yang dapat digunakan pada smartphone Android, PC, dan browser. Dengan fitur-fiturnya yang inovatif dan kreatif, Capcut terus berupaya untuk meningkatkan kualitas layanannya melalui update berkala.
Zai, Charles, Isnain, Auliya Rahman
core +1 more source
The Naïve Bayes (NB) algorithm is widely used due to its simplicity and computational efficiency; however, its performance often degrades on real-world data because the assumption of feature independence is frequently violated.
Jejen Jaenudin +2 more
doaj +1 more source

