[HTML][HTML] New model combination meta-learner to improve accuracy prediction P2P lending with stacking ensemble learning

MA Muslim, TL Nikmah, DAA Pertiwi, Y Dasril - Intelligent Systems with …, 2023 - Elsevier
Abstract Peer-to-peer (P2P) Lending is a type of financial innovation that offers loans without
intermediaries to individuals and companies. In the P2P lending system, there is a risk of …

Increased accuracy in predicting student academic performance using random forest classifier

AF Mulyana, W Puspita, J Jumanto - Journal of Student Research …, 2023 - shmpublisher.com
This research aims to classify the academic performance of students who are successful and
who have dropped out of school with high accuracy so that these matters can be addressed …

Lung cancer classification using convolutional neural network and DenseNet

NP Damayanti, MND Ananda… - Journal of Soft …, 2023 - shmpublisher.com
Lung cancer is a condition that has a major impact on public health. Convolutional Neural
Network (CNN) and DenseNet approaches are suggested in this study to aid lung cancer …

Ensemble learning technique to improve breast cancer classification model

AU Dullah, FN Apsari, J Jumanto - Journal of Soft Computing …, 2023 - shmpublisher.com
Cancer is a disease characterized by abnormal cell growth and is not contagious, such as
breast cancer which can affect both men and women. breast cancer is one of the cancer …

Crude oil price prediction using Artificial Neural Network-Backpropagation (ANN-BP) and Particle Swarm Optimization (PSO) methods

A Purwinarko, FA Langgundi - Journal of Soft Computing …, 2023 - shmpublisher.com
Crude oil price fluctuations significantly affect commodity market price fluctuations, so a
sudden drop in oil prices will cause a slowdown in the economy and other commodities …

Developed an expert system for analysis of covid-19 affected

S Mishra, S Yadav, M Aggarwal… - Journal of Soft …, 2023 - shmpublisher.com
The expert system solves problems within a specific area of the knowledge base. Prolog is a
logical programming language which works on its knowledge base and effectively can be …

Fuzzy-ER Net: Fuzzy-based Efficient Residual Network-based lung cancer classification

NN Murthy, K Thippeswamy - Computers and Electrical Engineering, 2025 - Elsevier
Abstract Globally, Lung Cancer (LC) continues to be the primary cause of cancer-related
death. Effective diagnosis is essential to save the lives of people. Nevertheless, manual …

[PDF][PDF] Simulation Study of Imbalanced Classification on High-Dimensional Gene Expression Data

MY Rochayani, U Sa'adah, AB Astuti - Sci. J. Informatics, 2023 - academia.edu
Purpose: Classification of gene expression is useful for studying a disease. However, it
faces two obstacles: an imbalanced class and a high dimension. The motivation of this study …

KLASIFIKASI PENYAKIT DIABETES MENGGUNAKAN ALGORITMA NAIVE BAYES

DN Anisa, J Jumanto - 2022 - unisbank.ac.id
Penyakit diabetes adalah suatu penyakit gangguan metabolik yang di tandai oleh tingginya
gula darah yang melebihi nilai normal. Terdapat banyak faktor yang menjadi penyebab …

[PDF][PDF] Feature Selection Using a Hybrid Approach Depends on Filter and Wrapper Methods for Accurate Breast Cancer Diagnosis

MS Hashim, AA Yassin - J. Basrah Res.(Sci.), 2023 - iasj.net
Breast cancer is the biggest cause of mortality in women, outscoring all other malignancies.
Diagnosing breast cancer is hard because the disease is complicated, treatment methods …