abnormal data detection and learning their behavior by abnormality and satisficing theory by masood abessi, Elahe Hajigol Yazdi

“…Learning of abnormalities is a considerable challenge in data mining and knowledge discovery. …”
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Research on elimination method of abnormal power data of wind turbine by YANG Xinyue, JING Bo, MEI Zhigang, QIAN Zheng

“…Its main construction method is to fit the supervisory control and data acquisition (SCADA) data. However, due to wind abandonment, power limitation, instrument failure and other factors, some abnormal power data exist in SCADA data. …”
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Electrocardiogram Abnormality Detection Using Machine Learning on Summary Data and Biometric Features by Kennette James Basco, Alana Singh, Daniel Nasef, Christina Hartnett, Michael Ruane, Jason Tagliarino, Michael Nizich, Milan Toma

“…<b>Conclusions:</b> This study demonstrates the potential of machine learning models, particularly extremely randomized trees, in classifying electrocardiogram abnormalities using demographic and biometric data. While promising, the absence of time-series data limits diagnostic accuracy. …”
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Evaluating the impact of denoising diffusion MRI data on tractometry metrics of optic tract abnormalities in glaucoma by Daiki Taguma, Shumpei Ogawa, Hiromasa Takemura

“…Abstract Diffusion MRI (dMRI)-based tractometry is a non-invasive neuroimaging method for evaluating white matter tracts in living humans, capable of detecting abnormalities caused by disorders. However, measurement noise in dMRI data often compromises the signal quality. …”
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Abnormal Electricity Consumption Behaviors Detection Based on Improved Deep Auto-Encoder by Nvgui LIN, Lanxiu HONG, Daoshan HUANG, Yang YI, Zhixuan LIU, Qifeng XU

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Research Progress in Formation Pressure Prediction Methods Based on Logging Data by SUN Jianmeng, ZHANG Ying, WANG Yuexiang, WU Yanhui, CHEN Hongtao

“…According to the research and analysis, it is necessary to analyze the formation pressure in the study area when the formation pressure prediction is carried out. Considering the limitations and shortcomings of the formation pressure prediction method, a variety of methods are selected for comparison and analysis based on the characteristics and distribution of the measured formation pressure using the logging data and the measured data, and the appropriate formation pressure prediction method is selected. …”
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The platelet to high-density lipoprotein cholesterol ratio is associated with thyroid hormone abnormalities based on NHANES 2007 to 2012 data by Wu Li, Peng Wu

“…Abstract Thyroid hormone abnormalities are closely associated with metabolic and cardiovascular diseases, yet easily accessible predictors remain limited. …”
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<span style="font-variant: small-caps">DataToCare</span>: Predicting Treatments for Intensive Care Unit Patients Based on Similarity of Abnormalities by Shan Randhawa, Abbas Shojaee, Elisa Sorrentino, Yifan Li, Azza Abouzied, Dennis Shasha

“…However, data-driven systems for decision-making have so far worked only for a limited set of clinical conditions. …”
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Intelligent recognition and sustainable security protection strategies for abnormal behavior of power grid operation data based on multidimensional digital portrait and deep neural... by Qingqing Ren, Wanqing Kang, Xuehui Yang, Qingpeng Wang, Qiang Huang

“…Abstract Traditional methods for identifying abnormal behavior in the power grid typically rely on fixed rules and single-dimensional data analysis, making it difficult to meet the anomaly detection requirements in complex and changing power grid operation (PGO) environments, and unable to effectively ensure the safety of the power grid, limiting their effectiveness in complex environments. …”
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Quantitative data processing of whole service value chain for power grid internal simulation market by Nan Liu

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Abnormality-aware multimodal learning for WSI classification by Thao M. Dang, Qifeng Zhou, Yuzhi Guo, Hehuan Ma, Saiyang Na, Thao Bich Dang, Jean Gao, Junzhou Huang

“…To address these limitations, we propose the Abnormality-Aware MultiModal (AAMM) learning framework, which integrates abnormality detection and multimodal feature learning for WSI classification. …”
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Neurodevelopment of preterm infants with glucose and sodium abnormalities by Hui-Ying Yang, Cheng-Han Lee, Hsiao-Neng Chen, Lon-Yen Tsao, Jia-Yuh Chen, Yu-Jun Chang, Chien-Chou Hsiao

“…Background: Blood glucose and serum sodium abnormalities in very low birth weight infants may cause increased morbidity and mortality, but data regarding the long-term outcomes are limited. …”
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Phenotypic mutation rates and the abundance of abnormal proteins in yeast. by Martin Willensdorfer, Reinhard Bürger, Martin A Nowak

“…During this process, depending on the phenotypic mutation rate, abnormal proteins are generated. We use data on protein length and abundance in Saccharomyces cerevisiae to parametrize our model. …”
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Abnormal Adrenal Mass Presents as Proximal Epithelioid Sarcoma by Valeria Pereira Martinez, Marilin Nicholson, Trushar Patel

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Indoor Abnormal Behavior Detection for the Elderly: A Review by Tianxiao Gu, Min Tang

“…It analyzes the technical principles, advantages, and limitations of various methods. This paper further explores the characteristics of relevant datasets and their applicable scenarios and summarizes the challenges facing current research, including multimodal data scarcity, risk of privacy leakage, insufficient adaptability of complex environments, and human adoption of wearable devices. …”
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Nail Abnormalities in Scabies Patients: A Systematic Review by Gunawan H, Hidayah RMN, Achdiat PA, Maharani RH, Yulianti F

“…Nail changes in patients with scabies are a result of the mites burrowing activity into the stratum corneum of the epidermis, which can extend to the subungual skin of the nail. There are limited studies that have been reported regarding the incidence of nail changes in patients with scabies.Objective: To systematically review nail abnormalities in patients with scabies reported in the literature.Methods: We searched all published articles in electronic databases until August 2024 reporting patients with scabies with detailed descriptions of malformed/diseased nails using specific terms and inclusion/exclusion criteria. …”
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Design of Security and Passengers Abnormal-moving Online Monitoring System by HE Ye, FENG Ze-xi

“…For importance of urban railway transportation video surveillance and limitations of traditional video surveillance, a design using front-end image-processing module for dynamic background modeling, target detection and tracking was presented to model passenger behavior and identify abnormal passengers. …”
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Unmet needs in abnormal uterine bleeding due to ovulatory dysfunction by Tommaso Simoncini, Hisham Arab, Nataliia Pedachenko, Qinjie Tian, Fernando Pineda, Balamba Puranam, Rubina Sohail, Maria Celeste Osorio Wender

“…Key gaps included a lack in consensus about the effectiveness of combined estrogen and progestogen versus progestogen alone, a paucity of evidence regarding the relative effectiveness of distinct hormonal molecules, a lack of data regarding optimal treatment duration, and limited guidance on optimal sequencing of treatment. …”
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Distribution characteristics of abnormal formation pressures in the aquatic area of the Sakhalin shelf by A. K. Shatyrov

“…The conditions determining the distribution of abnormal formation pressures in the aquatic area of the Sakhalin shelf are analysed using boring data.Aim. …”
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Cell‐free DNA test for fetal chromosomal abnormalities in multiple pregnancies by Angel H. W. Kwan, Maria Mar Gil, Shuwen Xue, Yvonne K. Y. Kwok, Doris Lau, Joanna Fung, Andrea Chan, Kwong Wai Choy, Tak Yeung Leung, Liona C. Poon

“…Abstract Introduction This study aimed to report the screening performance of cell‐free DNA (cfDNA) testing for chromosomal abnormalities in twins, triplets, and vanishing twin pregnancies. …”
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