Results 91 to 100 of about 3,838 (180)

Fault diagnosis of transformer oil-paper bushings in PSO-BPNN algorithm based on ADASYN data balancing

电力工程技术
The insulation performance of transformer bushings is a crucial aspect that directly affects the safe operation of equipment. To diagnose the insulation status of transformer bushings and mitigate the impact of small-sample imbalanced data on diagnostic ...
YANG Hao, HU Wenxiu, ZHANG Lu, CHEN Jinpeng, ZHOU Sijia, ZHAO Sirui   +5 more
doaj   +1 more source

Macroeconomic indicators and machine learning for financial bubble detection in the Indian stock market

Cogent Economics & Finance
This study investigates financial bubbles in the Indian stock market using the NIFTY 50 index and macroeconomic indicators. Employing the Backward Sup Augmented Dickey–Fuller test, we identified significant bubble occurrences in 2011, 2014, 2016, 2018 ...
Srishty, Muhammed Navas T
doaj   +1 more source

Çalışan yıpranmasını tahmin etmede analitik bir yaklaşım: Topluluk öğrenme yöntemi

Afyon Kocatepe Üniversitesi İktisadi ve İdari Bilimler Fakültesi Dergisi
Şirketler, profesyonel çalışanlarının ayrılmasını engelleyerek işe alım ve eğitim maliyetlerini azaltmak için çeşitli önlemler ararlar. Belirli bir çalışanın ayrılıp ayrılmayacağını önceden tahmin etmek, şirketin bu tür kayıpları minimize etmek için ...
Mustafa Yurtsever
doaj   +1 more source

Utilizing machine learning ensembles for effective electricity theft detection

Energy Exploration & Exploitation
Electricity theft presents significant challenges globally, with traditional detection methods often lagging behind sophisticated techniques. A misuse of authority can have several detrimental effects.
Sheikh Muhammad Saqib, Tehseen Mazhar, Muhammad Iqbal, Ahmad Almogren, Yazeed Yasin Ghadi, Tariq Shahzad, Habib Hamam   +6 more
doaj   +1 more source

Type-2 Diabetes Detection using XGBoost with ADASYN Over SVM

Journal of Information Systems Engineering and Management
Type-2 Diabetes Mellitus (T2DM) is a longstanding metabolic disease affecting millions of people worldwide, and early detection is important to avoid serious complications. Conventional clinical diagnosis techniques involve invasive methods and are time-consuming. In this research, we investigate the use of machine learning algorithms to facilitate the
openaire   +1 more source

A Predictive Model for Perinatal Brain Injury Using Machine Learning Based on Early Birth Data

Children
Background/Objective: It is difficult to predict perinatal brain injury, and performing brain magnetic resonance imaging (MRI) based on suspected injury remains a clinical challenge.
Ga Won Jeon, Yeong Seok Lee, Won-Ho Hahn, Yong Hoon Jun   +3 more
doaj   +1 more source

Integration of Random Forest, ADASYN, and SHAP for Diabetes Prediction and Interpretation

Scientific Journal of Informatics
Purpose: Diabetes is a chronic disease with a globally rising prevalence. Early detection of individuals at risk is essential to prevent long-term complications. This study aims to develop a diabetes prediction model that not only achieves high classification accuracy but also provides transparent explanations of the factors influencing its predictions.
Hozana Aulia, Adi Wibowo, Sutrisno Sutrisno   +2 more
openaire   +1 more source

Enhancing Firewall Packet Classification through Artificial Neural Networks and Synthetic Minority Over-Sampling Technique: An Innovative Approach with Evaluative Comparison

Applied Sciences
Firewall packet classification is a critical component of network security, demanding precise and reliable methods to ensure optimal functionality. This study introduces an advanced approach that combines Artificial Neural Networks (ANNs) with various ...
Adem Korkmaz, Selma Bulut, Tarık Talan, Selahattin Kosunalp, Teodor Iliev   +4 more
doaj   +1 more source

Sentiment Analysis Of Ijen Crater Reviews Using Naïve Bayes Classification And Oversampling Optimization

Sistemasi: Jurnal Sistem Informasi
Sentiment analysis is a method that applies text mining concepts to provide classifications that have polarity that is positive, negative, or neutral from each sentence or document.
Fadhel Akhmad Hizham, Hasyim Asy'ari, Maysas Yafi Urrochman   +2 more
doaj   +1 more source

Application of ADASYN Technique in Classification of Stroke Disease using Backpropagation Neural Network

INOVTEK Polbeng - Seri Informatika
The high prevalence of stroke in Indonesia and the challenge of imbalanced medical record data are major obstacles to the development of an accurate early detection system. This research aims to build a reliable stroke classification model by applying the ADASYN (Adaptive Synthetic Sampling) oversampling technique to address class imbalance before the ...
Said rizki Zikrillah aulia, Okfalisa Okfalisa, Elin Haerani, Lola Oktavia   +3 more
openaire   +1 more source