Enhancing Sarcopenia Prediction Through an Ensemble Learning Approach: Addressing Class Imbalance for Improved Clinical Diagnosis by Dilmurod Turimov, Wooseong Kim

“…These findings suggest that the classifier selection algorithm effectively addresses challenges in sarcopenia prediction, particularly in the case of imbalanced data. The model’s strong performance indicates its potential for use in clinical environments, where it can facilitate early diagnosis and improve intervention strategies for sarcopenia patients. …”
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A New Bearing Fault Diagnosis Method Based on Deep Transfer Network and Supervised Joint Matching by Chengyao Liu, Fei Dong, Kunpeng Ge, Yuanyuan Tian

“…To verify the performance of the proposed approaches, this study uses two distinct datasets pertaining to bearing defects for conducting cross-domain fault diagnosis in the presence of balanced and imbalanced data. The experimental analysis indicates that the designed methods can achieve desirable diagnostic accuracy and possess robust generalization ability.…”
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P1-N1-P2 Cortical Auditory Evoked Potentials in Chronic Unilateral Acquired Conductive Hearing Loss in Adults by Abeir Osman Dabbous, Noha Ali Hosni, Alzahraa Al-Sayed Owais Emara, Adel Said El-Antably

“…BACKGROUND: Chronic unilateral hearing loss causes imbalanced auditory input to the brain that triggers cortical reorganization. …”
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Dimethoate Induced Behavioural Changes in Juveniles of Cyprinus carpio var. communis under Temperate Conditions of Kashmir, India by Imtiyaz Qayoom, Feroz A. Shah, Malik Mukhtar, Masood H. Balkhi, Farooz A. Bhat, Bilal A. Bhat

“…The fishes elicited various behavioural responses such as uncoordinated movements, convulsions, excessive mucus secretion, and imbalanced swimming which ended in a collapse to the bottom of the aquarium. …”
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Integrated metabolomics and proteomics analysis to provide insights into muscle atrophy of turbot Scophthalmus maximus by dietary Clostridium autoethanogenum protein by Shihui Pan, Nan Bai, Zezheng Qi, Chuwen Chen, Daisong Ma, Zhenlin Liang, Min Gu

“…Third, the amino acid contents in turbot muscle were imbalanced by CAP, which would be perceived by general control nonderepressible 1 in AAR signal pathways. …”
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RETRACTED ARTICLE: Multiclass skin lesion classification using deep learning networks optimal information fusion by Muhammad Attique Khan, Ameer Hamza, Mohammad Shabaz, Seifeine Kadry, Saddaf Rubab, Muhammad Abdullah Bilal, Muhammad Naeem Akbar, Suresh Manic Kesavan

“…The dataset used in this work, ISIC2018, is imbalanced; therefore, augmentation is performed based on a few mathematical operations. …”
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SACNN‐IDS: A self‐attention convolutional neural network for intrusion detection in industrial internet of things by Mimonah Al Qathrady, Safi Ullah, Mohammed S. Alshehri, Jawad Ahmad, Sultan Almakdi, Samar M. Alqhtani, Muazzam A. Khan, Baraq Ghaleb

“…For instance, the existing DL approaches necessitate a substantial quantity of data for effective performance, which is not feasible to run on low‐power and low‐memory devices. Imbalanced and fewer data potentially lead to low performance on existing IDS. …”
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A novel myocarditis detection combining deep reinforcement learning and an improved differential evolution algorithm by Jing Yang, Touseef Sadiq, Jiale Xiong, Muhammad Awais, Uzair Aslam Bhatti, Roohallah Alizadehsani, Juan Manuel Gorriz

“…Developing this method presented a significant challenge due to the imbalanced classification of the Z‐Alizadeh Sani myocarditis dataset from Omid Hospital in Tehran. …”
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SMOTE vs. SMOTEENN: A Study on the Performance of Resampling Algorithms for Addressing Class Imbalance in Regression Models by Gazi Husain, Daniel Nasef, Rejath Jose, Jonathan Mayer, Molly Bekbolatova, Timothy Devine, Milan Toma

“…This bias can significantly undermine accurate predictions in real-world scenarios, highlighting the importance of the robust handling of imbalanced data for dependable results. This study examines one such scenario of real-time monitoring systems for fall risk assessment in bedridden patients where class imbalance may compromise the effectiveness of machine learning. …”
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Russia’s Foreign Trade with the GCC Countries: Dynamics, Characteristics and Opportunities by L. V. Shkvarya

“…However, trade flows between Russia and the UAE, as well as other Gulf states, are imbalanced, with Russian exports to the Arabian monarchies significantly exceeding imports from the region. …”
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Efficient Anomaly Detection Algorithm for Heart Sound Signal by Zhihai Liu, Wen Liu, Zheng Gu, Feng Yang

“…Currently, existing heart sound datasets suffer from imbalanced data proportions, complex feature types, and low discriminative power between systolic and diastolic murmurs, resulting in the suboptimal performance of deep learning algorithms in detection. …”
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Exploring the protective role of caffeine against Taraxacum-Induced ribotoxic stress mediated through autophagy and mitochondrial depolarization by Chien-Jung Lin, Shu-Ting Liu, Zih-Syuan Wu, Shih-Ming Huang, Teng-Wei Chen

“…Additionally, T. formosanum imbalanced the levels of ribosomal proteins of the large and small subunits. …”
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Fortifying IoT Infrastructure Using Machine Learning for DDoS Attack within Distributed Computing-based Routing in Networks by Sharaf Aldeen Abdulkadhum Abbas, Abdullahi Abdu Ibrahim

“…We evaluate these algorithms using metrics such as the confusion matrix, F1 score, and AUC-ROC to determine their performance in managing imbalanced datasets and generating meaningful insights. …”
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Analysis of Urban-Rural Coupling Coordination Based on Production,Living, and Ecological Functions in the Pearl River-Xijiang River Economic Belt by ZHANG Jianlong, LUO Jiangling, JIA Yanhong, XIE Ling

“…The results show that:① In 2005 and 2018,the coupling degree of the production,living,and ecological functions of the urban and rural areas in the Pearl River-Xijiang River economic belt was on the rise,and the spatial distribution was low in the west and high in the east.The coupling degree of production and living functions of the urban and rural areas increased,and that of production and ecological functions changed obviously and reached the coupling phase.② In 2005 and 2018,the coupling coordination degree of production,living,and ecological functions of the urban and rural areas changed slightly,with slightly imbalanced districts and counties as representatives and a planar distribution.The production and living functions of the urban and rural areas were generally improved,while the coupling coordination degree of the living and ecological functions of the areas changed slightly,and it determined the coupling coordination degree of the production,living,and ecological functions.In view of areas with favorable economic conditions,such as Nanning,Liuzhou,Guangzhou,and Foshan,the key to realizing urban and rural integration is to guarantee living conditions and ecological environment and strengthen the coordinated development between urban and rural areas.Furthermore,in view of districts and counties with relatively backward development in the western regions,they need to simultaneously develop the living and ecological functions while developing the production function of urban and rural areas,improve the infrastructure construction in urban and rural areas,and protect the ecological environment,so as to realize integrated development.Finally,the coordinated development of production,living,and ecological functions of urban and rural areas is of great significance to the sustainable development of the region.…”
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Multi-Relational Graph Representation Learning for Financial Statement Fraud Detection by Chenxu Wang, Mengqin Wang, Xiaoguang Wang, Luyue Zhang, Yi Long

“…Moreover, fraud detection is a typical imbalanced binary classification task with normal samples outnumbering fraud ones. …”
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Protective role of Pannexin1 in lymphatic endothelial cells in the progression of atherosclerosis in female mice. by Avigail Ehrlich, Graziano Pelli, Bernard Foglia, Filippo Molica, Brenda R Kwak

“…Atherosclerosis is a progressive arterial disease arising from imbalanced lipid metabolism and a maladaptive immune response. …”
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Tunnel squeezing prediction based on partially missing dataset and optimized machine learning models by Peng Guan, Guangzhao Ou, Feng Liang, Weibang Luo, Qingyong Wang, Chengyuan Pei, Xuan Che

“…KNN and Synthetic Minority Over-sampling Technique (SMOTE) methods were employed to handle the missing and imbalanced data sets. An input feature system for tunnel squeezing prediction was established, comprising tunnel burial depth (H), tunnel diameter (D), strength-to-stress ratio (SSR), and support stiffness (K). …”
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Multi-Granularity User Anomalous Behavior Detection by Wenying Feng, Yu Cao, Yilu Chen, Ye Wang, Ning Hu, Yan Jia, Zhaoquan Gu

“…Detection of insider threats faces challenges of imbalanced data distributions and difficulties in fine-grained detection. …”
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Addressing Data Imbalance in Crash Data: Evaluating Generative Adversarial Network’s Efficacy Against Conventional Methods by Bei Zhou, Qianxi Zhou, Zongzhi Li

“…Given the significantly lower computational resources required by cost-sensitive learning, this approach is recommended for handling imbalanced injury severity data.…”
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LCANet: a model for analysis of students real-time sentiment by integrating attention mechanism and joint loss function by Pengyun Hu, Xianpiao Tang, Liu Yang, Chuijian Kong, Daoxun Xia

“…However, most previous facial expression recognition methods have problems such as missing key facial features and imbalanced class distributions in the dateset, resulting in low recognition accuracy. …”
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