[HTML][HTML] Enhancing credit card fraud detection: an ensemble machine learning approach

AR Khalid, N Owoh, O Uthmani, M Ashawa… - Big Data and Cognitive …, 2024 - mdpi.com
In the era of digital advancements, the escalation of credit card fraud necessitates the
development of robust and efficient fraud detection systems. This paper delves into the …

Sentiment Analysis for TikTok Review Using VADER Sentiment and SVM Model

M Isnan, GN Elwirehardja, B Pardamean - Procedia Computer Science, 2023 - Elsevier
TikTok, a social networking site for uploading short videos, has become one of the most
popular. Despite this, not all users are happy with the app; there are criticisms and …

[HTML][HTML] Support Vector Machine Chains with a Novel Tournament Voting

C Atik, RA Kut, R Yilmaz, D Birant - Electronics, 2023 - mdpi.com
Support vector machine (SVM) algorithms have been widely used for classification in many
different areas. However, the use of a single SVM classifier is limited by the advantages and …

A Robust Semi-Supervised Broad Learning System Guided by Ensemble-Based Self-Training

J Guo, CLP Chen - IEEE Transactions on Cybernetics, 2024 - ieeexplore.ieee.org
Broad learning system (BLS) with semi-supervised learning relieves label dependence and
expands application. Despite some efforts and progress, the semi-supervised BLS still …

Breast cancer prediction using machine learning models

O Iparraguirre-Villanueva, A Epifanía-Huerta… - 2023 - repositorio.uwiener.edu.pe
Breast cancer is a type of cancer that develops in the cells of the breast. Treatment for breast
cancer usually involves X-ray, chemotherapy, or a combination of both treatments. Detecting …

Blending Shapley values for feature ranking in machine learning: an analysis on educational data

P Guleria - Neural Computing and Applications, 2024 - Springer
In educational institutions, it is now more important than ever to deliver high-quality
academic instruction, and educational data mining is essential for resolving problems that …

[HTML][HTML] Machine learning approach for predicting bridge components' condition ratings

MM Mia, S Kameshwar - Frontiers in Built Environment, 2023 - frontiersin.org
Information on bridge condition rating is critical to make decisions regarding rehabilitation or
replacement of bridges. Currently, bridge components' condition ratings are evaluated …

Leveraging Machine Learning Algorithms to Predict and Analyze Single-Vehicle and Multi-Vehicle Crash Occurrences on Motorways

SSB Masud, K Mahajan, A Kondyli… - Transportation …, 2024 - journals.sagepub.com
Road crashes are a common occurrence in many parts of the world, causing significant loss
of life, injury, and economic damage. Crashes can be broadly classified into single-vehicle …

Machine Learning Techniques for Water Quality Classification of Thailand's Rivers

K Sirikarin, S Khonthapagdee - 2023 20th International Joint …, 2023 - ieeexplore.ieee.org
Water is necessary for human consumption. To ensure that water is safe, a monitoring
system for water quality is required. One part of the system is to be able to predict the water …

Assessing the complex interplay of airborne pollutants and lung cancer prevalence via the improved decision tree-based vine copula modeling

A Ahdika, S Werdyani, M Muhaimin - Modeling Earth Systems and …, 2024 - Springer
Lung cancer stands as a prevalent respiratory ailment worldwide, with its incidence
intricately linked to air pollution. Investigating this relationship is pivotal for implementing …