Results 81 to 90 of about 13,846 (260)

Pengukuran Kinerja Model Klasifikasi dengan Data Oversampling pada Algoritma Supervised Learning untuk Penyakit Jantung

Computer Science
Penyakit jantung tetap menjadi penyebab utama kematian di Indonesia dan dunia. Dalam data mining, ketidakseimbangan kelas antara sampel penyakit jantung dan normal dalam dataset adalah masalah serius.
Anis Masruriyah, Hilda Novita, Cici Sukmawati, Angga Ramadhan, Siti Arif, Budi Dermawan   +5 more
doaj   +1 more source

Nucleus basalis functional connectivity aberrations in temporal lobe epilepsy and improvements after successful epilepsy surgery

Epilepsia, EarlyView.
Abstract Objective Resective surgery achieves seizure freedom in approximately 60%–80% of patients with drug‐resistant temporal lobe epilepsy (TLE), yet the extent to which seizure cessation permits recovery of disrupted functional brain networks remains unclear.
Addison C. Cavender, Derek J. Doss, Ghassan S. Makhoul, Bruno Hidalgo Monroy Lerma, Anas Reda, C. Price Withers, Emily Liao, Kate Wang, Hernán F. J. González, Sarah E. Goodale, Graham W. Johnson, Laurie E. Cutting, Sarah K. Bick, Catie Chang, Victoria L. Morgan, Dario J. Englot   +15 more
wiley   +1 more source

Multiclass Classification of Tomato Leaf Diseases Using GLCM, Color, and Shape Feature Extraction with Optimized XGBoost

Journal of Applied Informatics and Computing
Automatic classification of tomato leaf diseases is an essential component in advancing precision agriculture based on artificial intelligence. This study aims to develop a multiclass classification model for tomato leaf diseases by utilizing texture ...
Fransisko Andrade Laiskodat, Majid Rahardi   +1 more
doaj   +1 more source

Cross‐Entropy of Power Spectral Density Function: A Modal Identification Framework

Earthquake Engineering &Structural Dynamics, EarlyView.
ABSTRACT The power spectral density (PSD) function of measured structural response contains a significant amount of information, including the modal parameters (natural frequencies, damping ratios). Output‐only system identification or modal identification technique can be used for extracting such modal parameters from the measured response or its ...
Su‐Hong Kim, Jae‐Seung Hwang, Dae‐Kun Kwon, Ahsan Kareem   +3 more
wiley   +1 more source

Local Structures of Se and Br in Cretaceous–Paleogene Boundary Sediments and Concentration Effects of Ferrihydrite Originating From Impact Ejecta

Geological Journal, EarlyView.
Chemical states of Se and Br atoms in the KPg boundary sediments from Stevns Klint were studied using XAFS spectroscopy. The high concentrations of Se4+ could become an index of the degree to which the global environment was soiled with dust and ash derived from impact ejecta or volcanic eruptions.
Kei‐ichiro Murai, Akira Yoshiasa, Ginga Kitahara, Makoto Tokuda, Satoko Ishimaru, Toshihiro Moriga   +5 more
wiley   +1 more source

Development of a Flask-based Application for Bank Customer Churn Prediction as a Decision Support Tool

Sistemasi: Jurnal Sistem Informasi
Customer churn prediction is a crucial aspect of the banking industry for maintaining customer loyalty and reducing the cost of acquiring new customers.
Suluh Arif Wibowo, Muhammad Rezky, Ali Ibrahim, Mira Afrina, Fathoni Fathoni   +4 more
doaj   +1 more source

Theoretical Convergence of SMOTE-Generated Samples

CoRR
Imbalanced data affects a wide range of machine learning applications, from healthcare to network security. As SMOTE is one of the most popular approaches to addressing this issue, it is imperative to validate it not only empirically but also theoretically.
Firuz Kamalov, Hana Sulieman, Witold Pedrycz   +2 more
openaire   +2 more sources

Comparative Analysis of Random Forest and Support Vector Machine Algorithms for Predicting Student Retention at Ibnu Sina University

Sistemasi: Jurnal Sistem Informasi
Student retention is a critical challenge facing higher education institutions, including Ibnu Sina University (UIS), where a significant proportion of students risk not completing their studies.
dimas pradipto, I Made Artha Agastya, Agus Suryadi   +2 more
doaj   +1 more source

Unraveling the Plasma Extracellular Vesicles Proteome: Predictors of Resistance in Immunotherapy of Advanced Melanoma

International Journal of Cancer, EarlyView.
ABSTRACT Despite substantial clinical benefit from immune checkpoint inhibitors (ICI), advanced melanoma remains challenging due to frequent treatment resistance. Resistance may be intrinsic (primary) or emerge over time (secondary). Biomarkers predicting distinct resistance phenotypes before therapy are lacking.
Julian Kött, Glenn Geidel, Carmen M. T. Roeper, Lucija Ačkar, Bente Siebels, Hannah Voß, Hartmut Schlüter, Michaela Schweizer, Kilian Müller, Alessandra Rünger, Tim Zell, Benjamin Deitert, Ali Zeinal‐Abedini, Isabel Heidrich, Stefan W. Schneider, Klaus Pantel, Daniel J. Smit, Christoffer Gebhardt   +17 more
wiley   +1 more source

Reduced occurrence of alpha waves during resting state predicts high attention‐deficit/hyperactivity disorder traits in young adults

JCPP Advances, EarlyView.
Abstract Background Attention‐deficit/hyperactivity disorder (ADHD) is a neurodevelopmental condition with significant cognitive and social impacts. Identifying reliable biomarkers for ADHD is crucial for developing personalised therapies. Electroencephalography (EEG) alpha oscillations (8–12 Hz) have been suggested as a potential biomarker, but ...
Julio Rodriguez‐Larios, Ümit Aydin, Gráinne McLoughlin   +2 more
wiley   +1 more source