Characterization of Macrophage Phenotypes in Three Murine Models of House-Dust-Mite-Induced Asthma by Christina Draijer, Patricia Robbe, Carian E. Boorsma, Machteld N. Hylkema, Barbro N. Melgert

“…The balance between macrophage phenotypes changes as the severity of allergic airway inflammation increases. Influencing this imbalanced relationship could be a novel approach to treat asthma.…”
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False data injection attack sample generation using an adversarial attention-diffusion model in smart grids by Kunzhan Li, Fengyong Li, Baonan Wang, Meijing Shan

“…Considering the scarcity of FDIA attack samples, the traditional FDIA detection models based on neural networks are always limited in their detection capabilities due to imbalanced training samples. To address this problem, this paper proposes an efficient FDIA attack sample generation method by an adversarial attention-diffusion model. …”
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Suboptimal but intact integration of Bayesian components during perceptual decision-making in autism by Laurina Fazioli, Bat-Sheva Hadad, Rachel N. Denison, Amit Yashar

“…Abstract Background Alterations in sensory perception, a core phenotype of autism, are attributed to imbalanced integration of sensory information and prior knowledge during perceptual statistical (Bayesian) inference. …”
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A Vibrational Signal Fault Diagnosis Rule Extraction Method Based on DST-ACI Discriminant Criterion by Yalun Zhang, Lin He, Guo Cheng

“…First, the feature state coding method based on K-means clustering fully takes into account the imbalanced distribution of signal feature values due to the noise interference, and divide the signal feature values into several range intervals to generate the feature state code. …”
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Equilibrium study of logistics demand and logistics resource allocation in Guangdong Province by Liu Lianhua, Wu Yanling, Lyu Shiqi, Chen Zexian

“…However, logistics resource allocation remains imbalanced, with a certain degree of correspondence to logistics demand levels. …”
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Analysis of SO2 Pollution Changes of Beijing-Tianjin-Hebei Region over China Based on OMI Observations from 2006 to 2017 by Zhifang Wang, Fengjie Zheng, Wenhao Zhang, Shutao Wang

“…The spatial analysis indicates an imbalanced spatial distribution pattern, with higher SO2 level in the southern BTH and lower in the northern. …”
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Efficient Handling of Data Imbalance in Health Insurance Fraud Detection Using Meta-Reinforcement Learning by Supriya Seshagiri, K. V. Prema

“…This research is the first to apply Meta-RL to the problem of data imbalance in fraud detection, contributing to a generalizable and efficient framework for imbalanced learning. The findings of this research show that Meta-RL algorithms can be effectively tuned to handle data imbalance without modification to their objective functions and hence, can be considered an appropriate option for health insurance fraud detection solutions.…”
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Wafer Defect Classification Algorithm With Label Embedding Using Contrastive Learning by Jeongjoon Hwang, Somi Ha, Dohyun Kim

“…Moreover, compared to previous methods, our approach demonstrates better classification performance and computational efficiency, even in situations with imbalanced labels. This method also shows significant potential in identifying unseen defects not defined in the original classification tasks. …”
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HGL: A hybrid global-local load balancing routing scheme for the Internet of Things through satellite networks by Ziluan Liu, Jiangsheng Li, Yanru Wang, Xin Li, Shanzhi Chen

“…However, because of the varying Internet of Things traffic density, satellite networks may endure imbalanced traffic requirements and frequent link congestion. …”
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An Optimized Deep-Learning-Based Network with an Attention Module for Efficient Fire Detection by Muhammad Altaf, Muhammad Yasir, Naqqash Dilshad, Wooseong Kim

“…Additionally, we contribute a medium-scale custom fire dataset, comprising high-resolution, imbalanced, and visually similar fire/non-fire images. …”
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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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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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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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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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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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