An application for the classification of egg quality and haugh unit based on characteristic egg features using machine learning models

E Sehirli, K Arslan - Expert Systems with Applications, 2022 - Elsevier
With the increase in the world population, the nutritional needs of people have been
increased. The demand for eggs which is one of the most important food sources has been …

The effect of using data pre-processing by imputations in handling missing values

AE Karrar - Indonesian Journal of Electrical Engineering and …, 2022 - section.iaesonline.com
The evolution of big data analytics through machine learning and artificial intelligence
techniques has caused organizations in a wide range of sectors including health …

Implementation of the C4. 5 algorithm for micro, small, and medium enterprises classification.

S Lestari, YA Pratama - International Journal of Electrical & …, 2022 - search.ebscohost.com
Abstract The coronavirus disease-19 (COVID-19) pandemic has spread to various countries
including Indonesia. Thus, implementing large-scale social restrictions (Bahasa …

Transforming Skin Cancer Diagnosis: A Deep Learning Approach with the Ham10000 Dataset

P AT, P Selvan V - Cancer Investigation, 2024 - Taylor & Francis
Skin cancer (SC) is one of the three most common cancers worldwide. Melanoma has the
deadliest potential to spread to other parts of the body among all SCs. For SC treatments to …

[PDF][PDF] Improved Chi Square Automatic Interaction Detection on Students Discontinuation to Secondary School

F Al Anshory, S Siswanto… - Jurnal …, 2023 - journal.universitasbumigora.ac.id
ABSTRACT Improved Chi Square Automatic Interaction Detection (CHAID) with bias
correction is the development of the CHAID method by relying on Tschuprow's T test …

Analysis of awareness of academicians and graduate students about digital product copyrights with chi-squared automatic interaction detector

ŞK YILMAZ, AD Topal - Education and Information …, 2022 - search.proquest.com
Academics are both owners and users of copyrighted material. Complex, vague, and ever-
changing copyright law creates problems related to copyright for academicians and students …

Classification of Users of a Health Service Provider Using Unsupervised Machine Learning Methods

MD Arango-Abella, JC Figueroa-García - SN Computer Science, 2024 - Springer
In this paper, we compare three unsupervised classification methods: k-means, fuzzy
clustering and Self-Organized Maps (SOM) on a database of a health service provider in …

Analysis of awareness of academicians and graduate students about digital product copyrights with chi-squared automatic interaction detector

Ş KOLTAN YILMAZ, A Deveci Topal - Education and Information …, 2022 - Springer
Academics are both owners and users of copyrighted material. Complex, vague, and ever-
changing copyright law creates problems related to copyright for academicians and students …

[HTML][HTML] Evaluating Feature Selection Algorithms for Machine Learning-Based Musical Instrument Identification in Monophonic Recordings

İE Yücel, U Yurtsever - Sakarya University Journal of …, 2024 - saucis.sakarya.edu.tr
Musical instrument identification (MII) research has been studied as a subfield of the Music
Information Retrieval (MIR) field. Conventional MII models are developed based on …

Benchmarking Classifiers for DDoS Attack Detection in Industrial IoT Networks

M Severt, R Casado-Vara, AM del Rey… - … Intelligence in Security …, 2023 - Springer
In recent years, the proliferation of Internet of Things (IoT) devices has led to an increase in
network DDoS attacks. This requires effective methods to classify traffic on IoT networks as …