Results 61 to 70 of about 2,231 (201)

Evaluating the Performance of Generative Adversarial Network, Synthetic Minority Oversampling Technique, and Adaptive Synthetic Sampling in Marine Diesel Engine Fault Diagnosis using Vibration Data

Engineered Science
Machine learning-driven fault diagnosis of marine diesel engines is a major research focus, challenged by scarce, insufficient fault data. This study explores vibration data under five conditions: normal operation, single-cylinder ignition failure ...
Zhijun Chen, Ziyu Xiao, Zhongjun Wang, Pengcheng Wang, Jie Wang, Yijie Qu, Xiong Bao, Xiaofeng Guo   +7 more
doaj   +1 more source

Predicting Prolonged Hospital Length of Stay in Trauma Patients Using Machine Learning Techniques: A Cross‐Sectional Study

Health Science Reports, Volume 9, Issue 4, April 2026.
ABSTRACT Background and Aim Hospitalization due to trauma places a significant financial burden on healthcare systems, patients, and insurers. Predicting the length of stay can support resource management and workflow, ultimately enhancing healthcare interventions.
Maasoumeh Maghsoudi, Azadeh Bashiri, Vahid Rahmanian, Somayyeh Zakerabasali   +3 more
wiley   +1 more source

Confusion matrix of ER-VC concerning binary classification on ADASYN-balanced data, (a) ER-VC with TF-IDF, (b) ER-VC with BoW, and (c) RT-VC with GloVe. [PDF]

, 2022
Confusion matrix of ER-VC concerning binary classification on ADASYN-balanced data, (a) ER-VC with TF-IDF, (b) ER-VC with BoW, and (c) RT-VC with GloVe.
Furqan Rustam (10196722), Arif Mehmood (9406486), Saima Sadiq (6238643), Ramish Jamil (12975463), Gyu Sang Choi (9406495), Eysha Saad (12975460), Imran Ashraf (7370771)   +6 more
core   +1 more source

Revisiting Resampling Strategies under Extreme Class Imbalance: Evidence from Large-Scale Online Payment Fraud Detection

Edumatic
Extreme class imbalance in online payment fraud detection creates an accuracy paradox and an operational risk in which improving fraud capture can generate costly false alarms.
Mursyid Ardiansyah, Ali Asgar Zainal Abidin   +1 more
doaj   +1 more source

Optimasi Ulasan Palsu Menggunakan ADASYN Dan SMOTE

Journal of Informatics and Interactive Technology
Ulasan pengguna secara daring menjadi acuan penting dalam pengambilan keputusan konsumen di berbagai platform e-commerce. Maraknya ulasan palsu (fake review) yang sengaja dibuat untuk meningkatkan citra produk atau menjatuhkan pesaing menimbulkan tantangan serius dalam menjamin keaslian informasi.
Aldrian Firmansyah Putranto, Agung Septian -, Dicky Bagus Prasetyo -, Rhoy Emiliano De Mozzagie -, Rasyid Faiz Abdillah -   +4 more
openaire   +1 more source

A GIS‐Integrated Active Learning Framework for Crash Severity Classification in Imbalanced Traffic Data

Transactions in GIS, Volume 30, Issue 2, April 2026.
ABSTRACT Classifying urban traffic crash severity remains challenging because severe incidents are underrepresented in highly imbalanced datasets. This challenge is further intensified by spatiotemporal shifts in data distributions, which can degrade model performance over time.
Reza Mohammadi, Mohammad Taleai
wiley   +1 more source

Impact of Data Balancing and Feature Engineering on Accident Severity Models

Promet (Zagreb)
This study investigates the impacts of feature engineering techniques, including Clustering, Target Encoding and Anomaly Detection, in conjunction with data balancing methods, on the efficacy of machine learning models for predicting road accident ...
Fayez ALANAZI, Aminu SULEIMAN
doaj   +1 more source

Profiling Social Entrepreneurship Orientation Through Machine Learning Predictive Modeling

Corporate Social Responsibility and Environmental Management, Volume 33, Issue 2, Page 2601-2615, March 2026.
ABSTRACT This study examines the prediction of Social Entrepreneurship Orientation (SEO) in youth using machine learning techniques to generate a robust predictive model. Drawing on a large cross‐country survey of European youth, results indicate that cognitive–attitudinal indicators—such as concern for environmental goals, purpose‐driven motivation ...
Ángel Peiró‐Signes, Colin Donaldson, Marival Segarra‐Oña   +2 more
wiley   +1 more source

Evolution of diabetes prediction using the fusion of ANOVA, ADASYN technique and XGBoost based on body composition data. [PDF]

J Diabetes Metab Disord
Evolution of diabetes prediction using the fusion of ANOVA, ADASYN technique and XGBoost based on body composition ...
Nematollahi MA, Joloudari JH, Zare O, Maftoun M, Shadkam N, Sharifrazi D, Alizadehsani R, Asadollahi A.   +7 more
europepmc   +2 more sources

Algorithmic Bias in BERT for Response Accuracy Prediction: A Case Study for Investigating Population Validity

Journal of Educational Measurement, Volume 63, Issue 1, Spring 2026.
Abstract Pretrained large language models (LLMs) have gained popularity in recent years due to their high performance in various educational tasks such as learner modeling, automated scoring, automatic item generation, and prediction. Nevertheless, LLMs are black box approaches where models are less interpretable, and they may carry human biases and ...
Guher Gorgun, Seyma N. Yildirim‐Erbasli   +1 more
wiley   +1 more source