The Study and Analysis of city structure and its permanent development (Case study: Ardabil city) by Moharram Yousefi, Alireza Estelaji, Naser Fallah Tabar

“…Also, the highest unsuitability was in working use and then in official, residential, and educational use. This shows the imbalanced and discordant situation between urban uses that arise from carelessness of city planners.…”
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Improving Diabetes Prediction Accuracy in Indonesia: A Comparative Analysis of SVM, Logistic Regression, and Naive Bayes with SMOTE and ADASYN by Selly Rahmawati, Arief Wibowo, Anis Fitri Nur Masruriyah

“…The research addresses the issue of imbalanced datasets in medical diagnostics, specifically in predicting diabetes among Indonesian patients, where such imbalance often leads to biased predictions. …”
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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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X Chromosome Pericentric Inversion: Report of a Case with 46,X,inv(X)(p11.2q26) and a Mini-Review of the Literature by Emine Göktaş, Betül Okur Altındaş, Ayşe Gül Zamani, Mahmut Selman Yıldırım

“…However, they may have some clinical implications, including reproduction anomalies due to imbalanced gamete production. Here, we highlighted the phenotypical variability of X chromosome inversions by reporting a case. …”
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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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Multimodal Pain Recognition in Postoperative Patients: Machine Learning Approach by Ajan Subramanian, Rui Cao, Emad Kasaeyan Naeini, Seyed Amir Hossein Aqajari, Thomas D Hughes, Michael-David Calderon, Kai Zheng, Nikil Dutt, Pasi Liljeberg, Sanna Salanterä, Ariana M Nelson, Amir M Rahmani

“…This gap necessitates the development of robust, multimodal approaches capable of addressing the unique challenges associated with assessing pain in clinical settings, where factors like motion artifacts, imbalanced label distribution, and sparse data further complicate pain monitoring. …”
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Peningkatan Performa Ensemble Learning pada Segmentasi Semantik Gambar dengan Teknik Oversampling untuk Class Imbalance by Arie Nugroho, M. Arief Soeleman, Ricardus Anggi Pramunendar, Affandy Affandy, Aris Nurhindarto

“…Dengan menggunakan dataset Penn-Fudan Database for Pedestrian yang mengandung imbalanced class. Penggunaan teknik sintetis oversampling dapat memperbaikki tingkat akurasi pada class minoritas. …”
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Klasifikasi Ulasan Palsu Menggunakan Borderline Over Sampling (BOS) dan Support Vector Machine (SVM) (Studi Kasus : Ulasan Tempat Makan) by Aisyah Awalina, Fitra Abdurrachman Bachtiar, Indriati Indriati

“…Namun, banyak dari dataset ulasan palsu ini tidak seimbang (imbalanced dataset) sehingga dapat mempengaruhi hasil klasifikasi. …”
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Effects of the tobacco–maize relay intercropping pattern on soil nutrients and soil microbial diversity by Kang Yang, Shuhui Zi, Chengren Ouyang

“…The imbalanced soil nutrient status caused by the long-term monoculture of flue-cured tobacco are a concern. …”
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An intrusion detection method based on depthwise separable convolution and attention mechanism by Zhifei ZHANG, Feng LIU, Yiyang GE, Shuo LI, Yu ZHANG, Ke XIONG

“…In order to improve the accuracy of multi-classification in network intrusion detection, an intrusion detection method was proposed based on depthwise separable convolution and attention mechanism.By constructing a cascade structure combining depthwise separable convolution and long-term and short-term memory networks, the spatial and temporal features of network traffic data can be better extracted.A mixed-domain attention mechanism was introduced to enhance the detection performance.To solve the problem of low detection rate in some samples, a data balance strategy based on the combination of the variational auto-encoder (VAE) the generative adversarial network (GAN) and was designed, which can effectively cope with imbalanced datasets and improve the adaptability of the proposed detection method.The experimental results show that the proposed method is able to achieve 99.80%, 99.32%, and 83.87% accuracy on the CICIDS-2017, NSL-KDD and UNSW-NB15 datasets, which is improved by 0.6%, 0.5%, and 2.3%, respectively.…”
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Spatial analysis of digital economy and its driving factors: A case study of the Yangtze River Delta City Cluster in China. by Haidong Zhong, Bifeng Wang, Shaozhong Zhang

“…Quantitative analysis reveals that less than 1% likelihood that the imbalanced or clustered pattern of DE development in YRDCC could be the result of random chance. …”
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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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A progressive growing of conditional generative adversarial networks model by Hui MA, Ruiqin WANG, Shuai YANG

“…Progressive growing of generative adversarial networks (PGGAN) is an adversarial network model that can generate high-resolution images.However, when the categories of samples are unbalanced, or the categories of samples are too similar or too dissimilar, it is prone to produce mode collapse, resulting in poor image generation effect.A progressive growing of conditional generative adversarial networks (PGCGAN) model was proposed.The idea of conditional generative adversarial networks (CGAN) was introduced into PGGAN.Using category information as condition, PGGAN was improved in two aspects of network structure and mini-batch standard deviation, and the phenomenon of model collapse in the process of image generation was alleviated.In the experiments on the three data sets, compared with PGGAN, PGCGAN has a greater degree of improvement in inception score and Fréchet inception distance, two evaluation indicators for image generation, and the generated images have higher diversity and authenticity; and PGCGAN multiple unrelated datasets can be trained simultaneously without crashing, and high-quality images can be produced in datasets with imbalanced categories or data that are too similar and dissimilar.…”
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A hybrid unsupervised machine learning model with spectral clustering and semi-supervised support vector machine for credit risk assessment. by Tao Yu, Wei Huang, Xin Tang, Duosi Zheng

“…Despite the efficacy of unsupervised learning methods in handling unlabeled datasets, their performance remains limited owing to challenges such as imbalanced data, local optima, and parameter adjustment complexities. …”
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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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