Dolphin Health Classifications from Whistle Features by Brittany Jones, Jessica Sportelli, Jeremy Karnowski, Abby McClain, David Cardoso, Maximilian Du

“…The classifier identified the health status of the dolphin from the whistles features with 72.3% accuracy, 73.2% recall, 56.1% precision, and a 63.5% F1 score. …”
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Hammer Grain Crushers: Classification and Efficiency Assessment by Artem A. Mezenov, Nikolai N. Grigorev, Nikolai I. Kashevarov

“…The article introduces a classification of hammer grain crushers and a methodology for assessing their energy efficiency. …”
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Classification of radial polydactyly based on physical characteristics by Wei Chien Sun, Po An Chen, Brian Po Rong Chen, Wei Chun Lee, Hsuan Kai Kao, Wen E Yang, Chia Hsieh Chang

“…The prediction of treatments was studied retrospectively by the distribution of surgical procedures in 500 patients with 545 affected thumbs, by the new classification and the Wassel-Flatt classification. Results: Of the 545 polydactylies, 78 (14.5%) were categorized as the hypoplastic type, 369 (67.5%) as the ulnar-dominant type, 8 (1.5%) as the radial-dominant type, 70 (12.8%) as the symmetric adequate nail type, and 20 (3.7%) as the symmetric inadequate type. …”
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Brachioplasty in ex-obese patients: proposed classification by Rodrigo Pinto Gimenez, Erick Samuel Santos De Mello, Raphaela Silveira Amaral, Tatiani Cerioni Toth

“…Results: The LC classification is divided into 7 types. Type L - lipodystrophy without sagging; Type C1 - proximal flaccidity without lipodystrophy; Type C2 - sagging up to the middle third without lipodystrophy; Type C3 - flaccidity up to the distal third without lipodystrophy; Type LC1 - sagging in the proximal third with associated lipodystrophy; Type LC2 - sagging up to the middle third with lipodystrophy; Type LC3 - sagging up to the distal third with lipodystrophy. …”
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Classification of Periodic Variable Stars from TESS by Xinyi Gao, Xiaodian Chen, Shu Wang, Jifeng Liu

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CLINICAL AND MORPHOLOGICAL CLASSIFICATION OF CEREBRAL INTRAVENTRICULAR HEMORRHAGES by V. V. Vlasyuk

“…Inconsistency of the current classification of cerebral intraventricular hemorrhages is discussed in the article. …”
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Human genetics as an approach to the classification of mental diseases by Aníbal Silveira

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Multimodal Deep Learning for Android Malware Classification by James Arrowsmith, Teo Susnjak, Julian Jang-Jaccard

“…This study investigates the integration of diverse data modalities within deep learning ensembles for Android malware classification. Android applications can be represented as binary images and function call graphs, each offering complementary perspectives on the executable. …”
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Enhancing Classification Models With Sophisticated Counterfactual Images by Xiang Li, Ren Togo, Keisuke Maeda, Takahiro Ogawa, Miki Haseyama

“…Through extensive experimentation, we confirmed the improvement in the quality of the generated counterfactual images, which can more effectively enhance the classification ability of various models.…”
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A Beginner's Guide to Begonias: Classification and Diversity by Julian Ginori, Alfred Huo, Caroline R Warwick

“…Begonias grow in USDA Hardiness Zones 3 – 11, and are often used as hanging baskets, flowerpots, garden beds, and in the landscape (Gardening Solutions 2019). …”
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A Beginner's Guide to Begonias: Classification and Diversity by Julian Ginori, Alfred Huo, Caroline R Warwick

“…Begonias grow in USDA Hardiness Zones 3 – 11, and are often used as hanging baskets, flowerpots, garden beds, and in the landscape (Gardening Solutions 2019). …”
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A classification of meibomitis and an algorithm of its treatment by A. E. Sukhomlinov, V. I. Baranov, A. A. Kruchinina

“…We observed 56 patients aged 4 to 68 (average age 33 years), of which 42 patients (75 %) were followed up for periods from 3 to 60 days. The patients received basic complex conservative treatment, probing the meibomian gland with an eyelash during the acute inflammation and microabscess stage, in the presence of the chalazion with and without inflammation manifestations, and underwent drainage of the microabscess or the chalazion according to the classification.Results. …”
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A Beginner's Guide to Begonias: Classification and Diversity by Julian Ginori, Alfred Huo, Caroline R Warwick

“…Begonias grow in USDA Hardiness Zones 3 – 11, and are often used as hanging baskets, flowerpots, garden beds, and in the landscape (Gardening Solutions 2019). …”
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Heavy Tailed Distribution of Binary Classification Model by Damilare Oladimeji, Emmanuel Oguntade, Samuel Olanrewaju

“…When the outcomes are compared to those derived from other link functions such as TYPE I (Complementary log) and TYPE III (Weibull) based on extreme value distributions using standard classification data as well as real-life data, it becomes apparent that the Inverse Weibull (TYPE II) model exhibits exceptional performance. …”
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An Efficient Detector for Automatic Tomato Classification Systems by Duy-Linh Nguyen, Xuan-Thuy Vo, Adri Priadana, Jehwan Choi, Kang-Hyun Jo

“…The video demonstration, datasets, weights, and models are available at <uri>https://bit.ly/3XdLrLM</uri>.…”
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ON SOME ASPECTS OF THE CLASSIFICATION OF CRUMPLE CERVICAL SCAR by F. F. Badretdinova, V. B. Trubin, A. G. Khasanov

“…This is facilitated by the shortcomings of the existing classification, which unfortunately did not affect the volume of surgical tactics and does not take intoaccount newly emerging pathological conditions of the mucous membrane. …”
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Classification of Metro Facilities with Deep Neural Networks by Deqiang He, Zhou Jiang, Jiyong Chen, Jianren Liu, Jian Miao, Abid Shah

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Water Classification Using Convolutional Neural Network by Saira Asghar, Ghulam Gilanie, Mubbashar Saddique, Hafeez Ullah, Heba G. Mohamed, Irshad Ahmed Abbasi, Mohamed Abbas

“…CLAHE also improved the classification performance of the proposed model, with an accuracy of 97&#x0025;. …”
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An Empirical Study of Different Approaches for Protein Classification by Loris Nanni, Alessandra Lumini, Sheryl Brahnam

“…Many domains would benefit from reliable and efficient systems for automatic protein classification. An area of particular interest in recent studies on automatic protein classification is the exploration of new methods for extracting features from a protein that work well for specific problems. …”
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Brosco-Dutka classification system for palate fistulas by Telma Vidotto de Sousa Brosco, Gabriela Aparecida Prearo, Hagner Lucio de Andrade Silva, Jeniffer De Cassia Rillo Dutka

“…The objective is to present a classification protocol for palate fistula based on the fistula's morphological, embryological criteria and symptomatology. …”
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