Strategi Penanganan Imbalance Class Pada Model Klasifikasi Penerima Kartu Indonesia Pintar Kuliah Berbasis Neural Network Menggunakan Kombinasi SMOTE dan ENN by Zaqiatud Darojah, Ronny Susetyoko, Nana Ramadijanti

“…This study aims to build the classification model for KIP Kuliah recipients using Neural Network (NN) which can be utilized by universities in selecting prospective KIP Kuliah recipients students. To solve the imbalanced KIP Kuliah recipients data, we propose a hybrid sampling technique that combines the Synthetic Minority Over-Sampling Technique (SMOTE) and the Edited Nearest Neighbor (ENN) and also samples selected deletion method with a new scheme. …”
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Balanced displacement methods and effect evaluation of heterogeneous combination flooding in different reservoirs by Dejun WU, Jian HOU, Lijie LIU, Kang ZHOU, Zhibin AN

“…The remaining oil, extracted remaining oil, oil displacement efficiency, sweep coefficient, planar water saturation variation coefficient, and vertical water absorption imbalanced coefficient are used to evaluate the balanced displacement effects of heterogeneous combination flooding. …”
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Rice Leaf Disease Image Enhancement Based on Improved CycleGAN by YAN Congkuan, ZHU Dequan, MENG Fankai, YANG Yuqing, TANG Qixing, ZHANG Aifang, LIAO Juan

“…However, rice disease image recognition faces challenges such as limited availability of datasets, insufficient sample sizes, and imbalanced sample distributions across different disease categories. …”
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