Results 81 to 90 of about 12,774 (258)

Analysis of Naive Bayes Algorithm for Lung Cancer Risk Prediction Based on Lifestyle Factors

Journal of Applied Informatics and Computing
Lung cancer is one of the types of cancer with the highest mortality rate in the world, which is often difficult to detect in the early stages due to minimal symptoms.
Sheila Anggun Vabilla, Majid Rahardi
doaj   +1 more source

Company Bankruptcy Prediction with SMOTE

International Journal for Research in Applied Science and Engineering Technology, 2022
Abstract: Effective bankruptcy forecasting is essential for financial firms to make sound loan decisions. In general, the two most essential aspects influencing prediction performance are input variables (or features) such as financial ratios and prediction approaches such as statistical and machine learning techniques.
openaire   +1 more source

Ensemble Deep Learning–Based Wind Power Forecasting With Self‐Adaptive Osprey Optimization Algorithm

Energy Science &Engineering, EarlyView.
Design of Self‐Adaptive Osprey (SAO) algorithm: The novel SAO algorithm is designed by integrating the exploration capability of the conventional Osprey algorithm by including the self‐adaptiveness for enhancing the convergence rate. Ensemble Deep Learning for wind power forecasting: The wind forecasting is employed using the proposed Ensemble learning
Johncy Bai Johnson, Sivarani Thankamony Saradha Devi, Kumar Chandrasekaran, Sourav Barua   +3 more
wiley   +1 more source

Detecting fraud activities in financial transactions using SMOTENN model

Научно-технический вестник информационных технологий, механики и оптики
The financial industry plays an important role in national economic growth. Because of their critical function, banks have become prime targets for numerous financial crimes.
I. Syamsuddin, S. Omsa, A. Rustam, D. Hasan   +3 more
doaj   +1 more source

Interpretable Tree‐Based Models for Predicting Short‐Term Rockburst Risk Considering Multiple Factors

Energy Science &Engineering, EarlyView.
Interpretable tree‐based models integrate microseismic, geological, and mining indicators to predict short‐term rockburst risk. SHAP analysis reveals the dominant role of energy‐related features and clarifies nonlinear factor interactions, enabling transparent and reliable early‐warning in deep coal mines.
Shuai Chen, Linming Dou, Atao Li, Wu Cai, Lei Zhang   +4 more
wiley   +1 more source

Implementasi Linear Discriminant Analysis (LDA) untuk Deteksi Gejala Penyakit Jantung

Infotekmesin: Media Komunikasi Ilmiah Politeknik Cilacap
Heart disease is the leading cause of death globally and is often not detected early due to limited awareness and the high cost of medical diagnosis. This study aims to develop an accurate and efficient prediction model for heart disease using the Linear
Inka Saputri, Chyntia Raras Ajeng Widiawati, Sarmini Sarmini, Ika Romadoni Yunita   +3 more
doaj   +1 more source

Identifying Faults in Power Transformers Based on Machine‐Learning Algorithms Compared With Other Techniques

Energy Science &Engineering, EarlyView.
General framework of ensemble learning technique for transformer fault diagnostics compared with traditional dissolved gas analysis methods. ABSTRACT This paper implemented a comprehensive variety of modern machine‐learning techniques, which were demonstrated to be effective in handling complex tabular data, generating accurate predictions, and ...
Osama E. Gouda, Nourhan Ramadan, Matti Lehtonen, Mohamed M. F. Darwish   +3 more
wiley   +1 more source

Sentiment Analysis of CapCut Application Reviews using Support Vector Machine with the SMOTE Technique

Sistemasi: Jurnal Sistem Informasi
The growing popularity of short-form video content across various social media platforms has increased the use of cross-device video editing applications, accessible through smartphones, desktops, and web-based services.
faridah ayu shefia, Pratomo Setiaji, Wiwit Agus Triyanto   +2 more
doaj   +1 more source

Deep Learning for Pretreatment Imaging‐Based Tumor and Nodal Classification in Head and Neck Squamous Cell Carcinoma: A Systematic Review and Network Meta‐Analysis

Head &Neck, EarlyView.
ABSTRACT Background Accurate pretreatment assessment of the extent of tumor invasion and status of cervical lymph node metastasis is essential for staging and treatment planning in HNSCC. Deep learning (DL) shows promise but is limited by methodological heterogeneity. Methods We conducted a systematic review and network meta‐analysis (PRISMA). Studies (
Jannik Ketschau, Alex Grabenhorst, Hannes Singer, Johannes Brandt, Helena Kram, Nils Krautkremer, Maximilian F. Miragall, Katharina Pippich, Jonathan Mohr, Klaus‐Dietrich Wolff, Lucas M. Ritschl   +10 more
wiley   +1 more source

Comparison of Naïve Bayes, Random Forest, and SVM Algorithm Performance in Analyzing Sentiment Regarding the Aceh Floods on Platform X

Journal of Applied Informatics and Computing
Social media has become a means for the public to express their opinions on various events, including the floods in Aceh. This study aims to analyze public sentiment and compare the performance of the Naïve Bayes, Random Forest, and Support Vector ...
Amalia Khoirunnisa, Novita Kurnia Ningrum   +1 more
doaj   +1 more source