Organizational change in quality management aspects: a quantitative proposal for classification by André Tavares de Aquino, Jéssica Larissa Silva, Renata Maciel de Melo, Maisa Medonça Silva

“…The methodology involves a classification model, with multicriteria support, and three organizational change ratings were adopted (the extremes, type I and type II, as confirmed in the literature, and the intermediary, proposed herein). …”
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A Novel Algorithm for Imbalance Data Classification Based on Neighborhood Hypergraph by Feng Hu, Xiao Liu, Jin Dai, Hong Yu

“…After that, a novel classification algorithm for imbalance data based on neighborhood hypergraph is developed, which is composed of three steps: initialization of hyperedge, classification of training data set, and substitution of hyperedge. …”
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Differentially Private Image Classification by Learning Priors from Random Processes by Xinyu Tang, Ashwinee Panda, Vikash Sehwag, Prateek Mittal

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Classification of Physiology Indicators for the Automatic Detection of Potentially Hazardous Physiological States by I. G. Damousis, S. Argyropoulos, A. Muzet

“…For the classification of the physiology, four state-of-the-art techniques were compared, support vector machines, fuzzy expert systems, neural networks, and Gaussian mixture models. …”
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Storage Life Prediction Based on Kernel Path Classification and Estimation Model by PAN Yuxiong, ZHOU Guifa, WANG Xu

“…The step-down-stress accelerated life testing (SDS-ALT) is implemented to test electromechanical product to get failure and degradation data. A three-step analysis method is developed to establish Arrhenius accelerated model by using failure data. …”
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Sample Entropy on Multidistance Signal Level Difference for Epileptic EEG Classification by Achmad Rizal, Sugondo Hadiyoso

“…In this study, classification and verification were done using the Support Vector Machine (SVM) method. …”
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Towards a Consistent Classification System for Condition Assessment of Drainage Pipes by Zahra Tizmaghz, Jakobus E. van Zyl, Theunis F.P. Henning

“…This paper proposes a uniform classification system for drainage pipes consisting of three top-level categories (failures, defects, and factors) with subcategories based on functional or temporal considerations. …”
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New ACR/EULAR 2022 classification criteria for ANCA-associated vasculitis by T. V. Beketova

“…The creation’s history of the AAV classification criteria is discussed over the past three decades, and their limitations are considered. …”
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Implementation of Haar Cascade and Adaboost Algorithms in Photo Classification on Social Networks by Rezty Amalia Aras, Hutami Endang

“…Next, classify from the search results. The survey has three categories: selfies, food, and travel. Results: Two of her classification algorithms, Haar Cascade and Adaboost, were used in this study. …”
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Classification Features of Severe Stages of Proliferative Diabetic Retinopathy (Clinical Cases) by A. S. Golovin, I. G. Ovechkin, A. F. Teshev

“…Three clinical cases of PDR are presented, in which ophthalmoscopic signs (according to the classification of the Early Treatment Diabetic Retinopathy Study, 1991) corresponded to severe PDR (high risk 1, high risk 2) and advanced PDR. …”
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A brief summary of the WHO 2021 classification of adult diffuse gliomas by Tien-Li Lan, Shih-Chieh Lin, Yi-Wei Chen, Yi-Yen Lee

“…The World Health Organization (WHO) classification system for central nervous system (CNS) tumors provides a distinct framework for differentiating these tumors from other types. …”
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Deep learning-based potato leaf disease classification and severity assessment by Tadesse Assefa Dame, Gashaw Bekele Adera, Dagne Walle Girmaw

“…For disease identification, three classes, early blight, healthy, and late blight, were targeted. …”
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Research on product design priority allocation based on user characteristics classification by Yiyan Wang, Jiaxing He, Wenyuan Yang, Kie-su Kim

“…Abstract In order to rationally define the product usability demand preference and its priority level to improve the user experience, a product design priority allocation method based on user characteristic classification is proposed. The Pearson correlation coefficient is integrated into the finite rationality hypothesis model to classify user characteristics, and the factors influencing the phenomenon of divergence between user needs and behaviors are screened according to the Pearson correlation coefficient and used as the basis for the classification of characteristic users. …”
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DCS-ST for Classification of Breast Cancer Histopathology Images with Limited Annotations by Suxing Liu, Byungwon Min

“…This design enables the model to adaptively attend to diverse tissue structures and pathological patterns while maintaining classification stability. Extensive experiments on three public datasets—BreakHis, Mini-DDSM, and ICIAR2018—demonstrate that DCS-ST consistently outperforms existing state-of-the-art methods across various magnifications and classification tasks, achieving superior quantitative results and reliable visual classification. …”
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Classification of Brain Tumor by Combination of Pre-Trained VGG16 CNN by Ouiza Nait Belaid, Malik Loudini

“…Detection and rapid classification of this tumor are very important and may indicate the likely diagnosis and treatment strategy. …”
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Enhanced Brain Tumor Classification through Gamma Correction in Deep Learning by Muhammad Naufal, Harun Al Azies, Rivaldo Mersis Brilianto

“…Classification of brain tumors is a problem in computer-aided diagnosis (CAD). …”
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MDCNN: Multi-Teacher Distillation-Based CNN for News Text Classification by Xiaolei Guo, Qingyang Liu, Yanrong Hu, Hongjiu Liu

“…To address these challenges, we proposed MDCNN (Multi-teacher Distillation-based CNN), which leverages knowledge distillation with BERT and BiGRU as teacher models and TextCNN as the student model. Experiments on three benchmark news dataset demonstrate that MDCNN improves classification accuracy by nearly 2% while significantly reducing computational overhead, offering a practical solution for real-world applications.…”
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The Fāżil Aḥmad Pasha Collection and Classification of Sciences: A Comparative Analyses by Berat Açıl

“…Analyzing the books preserved in libraries according to the classification of sciences is an alternative way of writing the history of Islamic sciences. …”
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Implementation and Performance Evaluation of Quantum Machine Learning Algorithms for Binary Classification by Surajudeen Shina Ajibosin, Deniz Cetinkaya

“…In this work, we studied the use of Quantum Machine Learning (QML) algorithms for binary classification and compared their performance with classical Machine Learning (ML) methods. …”
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About the confusion-matrix-based assessment of the results of imbalanced data classification by V. V. Starovoitov, Yu. I. Golub

“…The article examines the estimates of the classification results for this type of data. The paper provides answers to three questions: which term is a more accurate translation of the phrase "confusion matrix", how preferable to represent data in this matrix, and what functions to be better used to evaluate the results of classification by such a matrix. …”
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