Results 101 to 110 of about 23,350 (290)

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

Evaluation of the performance of the Smote, Smote Enn, and Borderline Smote resampling methods based on the number of outlier data with Z Score

Lontar Komputer : Jurnal Ilmiah Teknologi Informasi
Handling class imbalances in datasets is a significant challenge in the classification process. Disruption occurs if the minority class has a crucial role in decision-making. Oversampling is one of the solutions that is widely used to overcome this problem.
Arisgunadi Gunadi, null Dewi Oktofa Rahmawati, null Nurfa Risha   +2 more
openaire   +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

Prediction of Oestrus in Dairy Cows: An Application of Machine Learning to Skewed Data [PDF]

, 2009
The Dairy industry requires accurate detection of oestrus(heat) in dairy cows to maximise output of the animals. Traditionally this is a process dependant on human observation and interpretation of the various signs of heat.
Lynam, Adam David
core  

How much does the reduced electroencephalographic montage matter for seizure detection? A large‐cohort simulation study

Epilepsia, EarlyView.
Abstract Objective Subscalp electroencephalographic (EEG) systems with few channels have emerged as promising solutions for ultra‐long‐term seizure monitoring, but the impact of montage configuration on automated seizure detection is unclear. We compared automated detection performance between full‐scalp and simulated reduced montages approximating ...
Joe Kojima, Haoer Shi, Svanik Jaikumar, William K. S. Ojemann, Carlos Aguila, Juri Kim, Taneeta Mindy Ganguly, Brian Litt, Erin C. Conrad   +8 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

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

One size fails all? EU insolvency law between harmonisation and 28th regime

International Insolvency Review, EarlyView.
Abstract The European Union's efforts to harmonise national insolvency laws have long been seen as a key step towards the completion of the Internal Market and, in particular, its Capital Markets Union project. Yet despite years of legislative activity, meaningful convergence has remained elusive.
Wolf‐Georg Ringe
wiley   +1 more source