Newer Classification System for Fissured Tongue: An Epidemiological Approach by Ramachandran Sudarshan, G. Sree Vijayabala, Y. Samata, A. Ravikiran

“…This study attempts to establish a classification system for fissured tongue and to know the correlation with the systemic health and other disorders of the tongue. …”
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Pulmonary Disease Classification on Electrocardiograms Using Machine Learning by Aboubacar Abdoulaye Soumana, Prajwol Lamichhane, Mehlam Shabbir, Xudong Liu, Mona Nasseri, Scott Helgeson

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Hybrid Attention and Multiscale Module for Alzheimer's Disease Classification by WANG Yuanjun

“…To address these challenges, this study proposes a novel classification method based on hybrid attention and multi-scale information fusion (3D HAMSNet). …”
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Zero-Shot Classification of Art With Large Language Models by Tatsuya Tojima, Mitsuo Yoshida

“…In this study, we propose the zero-shot classification method to perform automatic annotation in data processing for art price prediction by leveraging large language models (LLMs). …”
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CLASSIFICATION OF STUDENT GRADUATION STATUS USING XGBOOST ALGORITHM by Maria Welita Dwinanda, Neva Satyahadewi, Wirda Andani

“…The resulting XGBoost classification model is optimal at the number of rounds is 3 and the number of folds is 5. …”
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Evaluation of Classification Possibility of Coke Breeze by Drag Force by Ji-A Lee, Bong-Min Jin, Jeong-Whan Han

“…The height of belt conveyor was at 1m, and velocity of the belt was 1.5, 2.3, and 2.6 m/s, which were considered as experimental variables. …”
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A Quantum Algorithm for the Classification of Patterns of Boolean Functions by Theodore Andronikos, Constantinos Bitsakos, Konstantinos Nikas, Georgios I. Goumas, Nectarios Koziris

“…Our algorithm achieves classification in a straightforward manner as the final measurement reveals the unknown function with a probability of <inline-formula><math xmlns="http://www.w3.org/1998/Math/MathML" display="inline"><semantics><mrow><mn>1.0</mn></mrow></semantics></math></inline-formula>. …”
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Posterior Malleolus: Morphologic Classification, Morphometry, and Clinical Insights by Hellen Carvalho Ribeiro MD, William Paganini Mayer PhD, Jacob Matz MD, Josemberg da Silva Baptista PhD

“…These differences may have implications for fracture classification, fixation strategy, and implant design. …”
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Research on Pantograph Defect Classification Based on Vibration Signals by Vytautas Gargasas, Kęstas Rimkus, Mindaugas Alekna, Andrius Knyš, Mindaugas Žilys, Algimantas Valinevičius

“…These ideas are based on analyzing mechanical vibrations generated by the pantograph, acoustic vibration signal analysis, 3D geometric data of the pantograph surface captured by laser scanning, and combinations of several methods. …”
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Text classification model based on GNN and attention mechanism by ZENG Shuifei, MENG Yao, LIU Jing

“…Finally, the integration of GNN and gated recurrent unit (GRU) network models further captured the semantic feature information of structural and temporal attributes for graph data, resulting in achieving efficient feature fusion and improving the classification accuracy of the model. The experimental results show that the proposed method not only is effective, but also improves the accuracy of classification that is increased at least 4.0%, 2.4% and 3.1% on the CSI 100，CSI 300 and Rus 1K datasets, respectively, compared with the algorithm ADGL+MLA (adaptive dynamic graph learning+multi-head latent attention).…”
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Classification of skin diseases with deep learning based approaches by Merve Okumuş Sarı, Kübra Keser

“…In the study, which focused on the classification of 3 different skin diseases, the Relief algorithm was used to increase the classification success and to ensure the selection of more meaningful qualities. …”
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Vegetation Classification and Survey: five years and looking ahead by Idoia Biurrun, Jürgen Dengler, Wolfgang Willner

“…For articles that performed a plot-based classification, we provide information on classification approach, plot size, importance value, taxonomic coverage, number of plots, and classification algorithm. …”
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Justification of the need to create a new classification of obesity by S. V. Miklishanskaya, E. A. Zolozova, A. A. Orlovsky, G. V. Shlevkova, N. A. Mazur

“…At the same time, the increase in BMI from the 1st to the 3rd degree did not reflect the severity of metabolic disorders. …”
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Principles of Preventive Police Activity: Concepts, Content and Their Classification by S. O. Shatrava, H. R. Parkhanov

“…The author of the article has studied the scientific positions of scholars on understanding and classification of the principles of law. The characteristic features of the principles of preventive police activity have been distinguished. …”
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Acquiring complex concepts through classification versus observation by Daniel Corral, Shana K. Carpenter

“…However, although subjects showed clear evidence of learning and transfer, posttest performance did not differ between classification and observation training. Critically, various learning theories and principles (e.g., retrieval practice, generation, active learning) predict a classification advantage. …”
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Development of agrotechnologies classification in the system of adaptive-landscape farming by L. K. Konovalova, L. I. Ilyin, V. V. Okorkov, I. Yu. Vinokurov

“…In the article an attempt to develop the classification of agricultural technologies by criterion of intensification level has been made. …”
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Using the Robson Classification to Explain the Fluctuations in Cesarean Section by H. Cammu, E. Martens, G. Van Maele

“…In the subgroup of the seven clinics where the collective CS rate had decreased from 23.2% in 2008 to 19.3% in 2016, the main contributors to this decrease were Robson groups 1 and 2. …”
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Incremental learning with SVM for multimodal classification of prostatic adenocarcinoma. by José Fernando García Molina, Lei Zheng, Metin Sertdemir, Dietmar J Dinter, Stefan Schönberg, Matthias Rädle

“…Furthermore, the system improves selection of information, efficiency and robustness of the classification. The generated probability map enables radiologists to have a lower variability in diagnosis, decrease false negative rates and reduce the time to recognize and delineate structures in the prostate.…”
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Habesha cultural cloth classification using deep learning by Anteneh Demelash, Eshete Derb

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PSORIATIC ARTHRITIS: CLASSIFICATION, CLINICAL PRESENTATION, DIAGNOSIS, TREATMENT by T. V. Korotaeva

“…It describes the epidemiology of the disease and considers current ideas on its pathogenesis and factors influencing the development of PsA in psoriatic patients. The classification and clinical forms of PsA are presented. …”
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