Restenosis and Therapy by Laszlo Denes, Laszlo Entz, Veronika Jancsik

“…The vascular disease involves imbalanced function of the blood vessels. Risk factors playing a role in development of impaired vessel functions will be briefly discussed. …”
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(De)Construction of Gendered Identities in ELT Materials: A Systemic Functional View by Alireza Rasti

“…Subsequent to this phase, which rendered an imbalanced view of gendered identities, van Leeuwen’s categories of Identification and Functionalization were applied to fine-tune the subjectivities arrived at. …”
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Le coenseignement dans une classe hétérogène promeut-il une différenciation pédagogique ? by Myriam Janin, Gilles Moreau, Marie Toullec-Théry

“…This double approach highlights that co-teaching alone does not guarantee educational differentiation because of the risk of an imbalanced distribution of responsibilities between the co-teachers. …”
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Research on intrusion detection method for edge networks based on federated reinforcement learning by DING Kai, HUANG Yidu, TAO Ming, XIE Renping

“…To address this issue, a federated reinforcement learning-based intrusion detection method was proposed, and experiments were conducted using two datasets from the Internet of medical things (IoMT) and Internet of vehicles (IoV) scenarios. Imbalanced traffic sample distributions were designed for each edge agent to simulate a real-world environment, allowing for the evaluation of the detection accuracy and robustness of the global model. …”
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Machine Learning-Based Alzheimer’s Disease Stage Diagnosis Utilizing Blood Gene Expression and Clinical Data: A Comparative Investigation by Manash Sarma, Subarna Chatterjee

“…The results indicated that our multiclassification model effectively manages the imbalanced data of a high-dimension, low-sample-size (HDLSS) nature to identify samples of the minority class. …”
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Easy Data Augmentation untuk Data yang Imbalance pada Konsultasi Kesehatan Daring by Anisa Nur Azizah, Misbachul Falach Asy'ari, Ifnu Wisma Dwi Prastya, Diana Purwitasari

“…Abstract   The text augmentation approach is often utilized for handling imbalanced data of classifying text corpus, such as online health consultation (OHC) texts, i.e., alodokter.com. …”
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An Overlapping Cell Image Synthesis Method for Imbalance Data by Yi Ning Xie, Lian Yu, Guo Hui Guan, Yong Jun He

“…However, the lack of overlapping nuclei images in training data (imbalanced training data) results in low recognition rates of overlapping nuclei images. …”
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Mass Rapid Transit System Passenger Traffic Forecast Using a Re-Sample Recurrent Neural Network by Rong Hu, Yi-Chang Chiu, Chih-Wei Hsieh, Tang-Hsien Chang, Xingsi Xue, Fumin Zou, Lyuchao Liao

“…However, in this process, the training dataset usually ended up being imbalanced. To address this dataset imbalance, our research proposes re-sample Recurrent Neural Network. …”
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Research Progress in Lactoferrin’s Role in Alleviating Intestinal Barrier Dysfunction by LI Yi, REN Xinxin, WANG Qin, HE Xiaoyun

“…When the intestinal mucosa is damaged, the tight junctions between intestinal cells are disrupted, and the intestinal flora becomes imbalanced, a variety of diseases can arise. Natural active proteins are pivotal in the repair of the intestinal barrier. …”
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An Improved ARIMA-Based Traffic Anomaly Detection Algorithm for Wireless Sensor Networks by Qin Yu, Lyu Jibin, Lirui Jiang

“…In this paper, based on the improved Autoregressive Integrated Moving Average (ARIMA) model, we propose a traffic anomaly detection algorithm for wireless sensor networks (WSNs) which considers the particular imbalanced, nonstationary properties of the WSN traffic and the limited energy and computing capacity of the wireless sensors at the same time. …”
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Navigation-Assisted Total Knee Arthroplasty for Osteoarthritis with Extra-Articular Femoral Deformity and/or Retained Hardware by Daisuke Hamada, Hiroshi Egawa, Tomohiro Goto, Tomoya Takasago, Michihiro Takai, Tetsuya Hirano, Yoshiteru Kawasaki, Natsuo Yasui

“…In addition, atypical bone cut for intra-articular correction leads to imbalanced soft tissue gap. Furthermore, corrective osteotomy should be considered for severe deformity or para-articular deformity cases. …”
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Real-time event detection using recurrent neural network in social sensors by Van Quan Nguyen, Tien Nguyen Anh, Hyung-Jeong Yang

“…The proposed method shows no size limitation, supplementation of more embeddings than standard multichannel based approaches, and obtained similar performance (accuracy score) on some benchmark data sets, especially in an imbalanced data set. For event detection, a long short-term memory network is used as a predictor that learns higher level temporal features so as to predict future values. …”
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Automated mold defects classification in paintings: A comparison of machine learning and rule-based techniques. by Hilman Nordin, Bushroa Abdul Razak, Norrima Mokhtar, Mohd Fadzil Jamaludin, Adeel Mehmood

“…However, the CART algorithm exhibits superior performance, increasing precision by 32% to 53% while maintaining high accuracy (96%) even with an imbalanced dataset. This innovative method has the potential to transform the approach to managing mold defects in fine art paintings by offering a more precise and efficient means of identification. …”
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The Use of Machine Learning Methods in Road Safety Research in Poland by Anna Borucka, Sebastian Sobczuk

“…The best choice for imbalanced data, especially when the goal is to identify rare classes, is the RF model. …”
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A comprehensive review of the roles of T-cell immunity in preeclampsia by Xu Peng, Ibeh Chinwe Oluchi-Amaka, Joanne Kwak-Kim, Joanne Kwak-Kim, Xiuhua Yang

“…PE has been associated with a range of immune disorders, including a preponderance of T helper (Th) 1 over Th2 cells and imbalanced levels of Th17 and T regulatory cells (Tregs). …”
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Flight Delay Classification Prediction Based on Stacking Algorithm by Jia Yi, Honghai Zhang, Hao Liu, Gang Zhong, Guiyi Li

“…In this research, the principle of the Stacking classification algorithm is introduced, the SMOTE algorithm is selected to process imbalanced datasets, and the Boruta algorithm is utilized for feature selection. …”
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Comparative analysis of FACT devices for optimal improvement of power quality in unbalanced distribution systems by Ahmed M. Elkholy, Dmitry I. Panfilov, Ahmed E. ELGebaly

“…The performance of the IEEE-13 bus imbalanced distribution model is investigated using the Newton-Raphson method. …”
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ResInceptNet-SA: A Network Traffic Intrusion Detection Model Fusing Feature Selection and Balanced Datasets by Guorui Liu, Tianlin Zhang, Hualin Dai, Xinyang Cheng, Daoxuan Yang

“…This model enhances the accuracy of abnormal network traffic detection and outperforms existing models when applied to imbalanced datasets, offering a new solution for network traffic intrusion detection.…”
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Prediction of Defective Software Modules Using Class Imbalance Learning by Divya Tomar, Sonali Agarwal

“…The learning process of a software defect predictor is difficult due to the imbalanced distribution of software modules between defective and nondefective classes. …”
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A comparative analysis of LSTM models aided with attention and squeeze and excitation blocks for activity recognition by Murad Khan, Yousef Hossni

“…Current challenges in HAR systems include variability in sensor data influenced by factors like sensor placement, user differences, and environmental conditions. Additionally, imbalanced datasets and computational complexity hinder the performance of these systems in real-world applications. …”
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