Biological sex estimation using ancient DNA in Classic Maya contexts: some findings from Naachtun (Guatemala) by Hemmamuthé Goudiaby, Xavier Roca-Rada, Kalina Kassdjikova, Lars Fehren-Schmitz, Bastien Llamas

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Classic Dissection of Thoracic Aorta Complicated by Ascending Aortic Intramural Hematoma: Promt Diagnosis and Successful Endovascular Repair by Gediminas Rackauskas, Mindaugas Mataciunas, Nerijus Misonis, Diana Zakarkaite, Marijus Gutauskas, Valdas Bilkis, Algirdas Edvardas Tamosiunas, Pranas Serpytis, Aleksandras Laucevicius

“…The dissection was classified as Stanford A, De Bakey I. Surgical treatment of patient was started with bypass graft from the right common carotid artery to the left common carotid with subsequent revascularization of left subclavian artery. …”
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Comment on article “A Simple Classification of Pancreatic Duct Size and Texture Predicts Postoperative Pancreatic Fistula: A Classification of the International Study Group of Pancreatic Surgery” by Jinlong Hu, MD, Yanfei Yang, MD

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Clinical, biochemical and molecular characteristics of classic homocystinuria in Saudi Arabia and the impact of newborn screening on prevention of the complications: A tertiary center experience by Ahmed Sarar Mohamed, Talal AlAnzi, Amal Alhashem, Hadeel Alrukban, Fahad Al Harbi, Sarar Mohamed

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The possibilities of using flexible methods in public administration by S. A. Zudenkova

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A Deep Learning Approach to Classify Fabry Cardiomyopathy from Hypertrophic Cardiomyopathy Using Cine Imaging on Cardiac Magnetic Resonance by Wei-Wen Chen, Ling Kuo, Yi-Xun Lin, Wen-Chung Yu, Chien-Chao Tseng, Yenn-Jiang Lin, Ching-Chun Huang, Shih-Lin Chang, Jacky Chung-Hao Wu, Chun-Ku Chen, Ching-Yao Weng, Siwa Chan, Wei-Wen Lin, Yu-Cheng Hsieh, Ming-Chih Lin, Yun-Ching Fu, Tsung Chen, Shih-Ann Chen, Henry Horng-Shing Lu

“…Our proposed system named the MRI short-axis view left ventricular hypertrophy classifier (MSLVHC) is a high-accuracy standardized imaging classification model developed using AI and trained on MRI short-axis (SAX) view cine images to distinguish between HCM and Fabry disease. …”
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A Novel Model to Detect and Classify Fresh and Damaged Fruits to Reduce Food Waste Using a Deep Learning Technique by T. Bharath Kumar, Deepak Prashar, Gayatri Vaidya, Vipin Kumar, S. Deva Kumar, F. Sammy

“…Despite the fact that people routinely classify healthy and rotten fruits, fruit growers find it ineffective. …”
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« Être primeur classique, ça ne m’intéressait pas du tout » by Natacha Rollinde

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Energy-aware feature and classifier for behaviour recognition of laying hens in an aviary system by X. Yang, Q. Hu, L. Nie, C. Wang

“…Long-term monitoring of animal behaviours requires energy-aware features and classifiers to support onboard classification. However, limited studies have been conducted on the behaviour recognition of laying hens, especially in aviary systems. …”
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Classifying the CP properties of the ggH coupling in H + 2j production by Henning Bahl, Elina Fuchs, Marc Hannig, Marco Menen

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THEORETICAL ASPECTS ON THE MOVEMENT OF PLANT FRAGMENTS ON THE SURFACE OF A PLANE SIFTERS CLASSIFIER by AUGUSTINA PRUTEANU, VALENTIN VLADUT, LADISLAU DAVID

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Tire Pressure Monitoring System Using Feature Fusion and Family of Lazy Classifiers by Arpit Pandey, Sridharan Naveen Venkatesh, Prabhakaranpillai Sreelatha Anoop, B. R. Manju, Vaithiyanathan Sugumaran

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Classifying vocal responses of broilers to environmental stressors via artificial neural network by T. Lev-ron, Y. Yitzhaky, I. Halachmi, S. Druyan

“…Detecting early-stage stress in broiler farms is crucial for optimising growth rates and animal well-being. This study aims to classify various stress calls in broilers exposed to cold, heat, or wind, using acoustic signal processing and a transformer artificial neural network (ANN). …”
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Performance Augmentation of Base Classifiers Using Adaptive Boosting Framework for Medical Datasets by Durr e Nayab, Rehan Ullah Khan, Ali Mustafa Qamar

“…The significance of these results is that they provide insight into the performance of the base classifiers when used in the boosting framework to enhance the classification performance of classifiers in scenarios where individual classifiers do not perform up to the mark.…”
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Infrared Thermal Image Gender Classifier Based on the Deep ResNet Model by Alyaa J. Jalil, Naglaa M. Reda

“…Gender classification from human face images has attracted researchers over the past decade. …”
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Synthetic Data Generation and Evaluation Techniques for Classifiers in Data Starved Medical Applications by Wan D. Bae, Shayma Alkobaisi, Matthew Horak, Siddheshwari Bankar, Sartaj Bhuvaji, Sungroul Kim, Choon-Sik Park

“…Our incremental data generation system enhances selected state-of-the-art SMOTE methods, resulting in sensitivity improvements for deep transfer learning (TL) classifiers ranging from 4.01% to 7.79%. Compared with the performance of TL without oversampling, the improvement achieved by the incremental SMOTE methods ranged from 27.18% to 40.97%. …”
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Computational intelligence in the identification of Covid-19 patients  by using KNN-SVM Classifier by shaymaa adnan

Subjects: “…Covid-19, Chest X-rays, AI, Neural classifiers…”
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Geometric morphometrics approach for classifying children’s nutritional status on out of sample data by Medialdea Laura, Arribas-Gil Ana, Pérez-Romero Álvaro, Gómez Amador

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Improving Diabetes Prediction by Selecting Optimal K and Distance Measures in KNN Classifier by Emad Majeed Hameed, Hardik Joshi

“…This paper discusses diabetes prediction by using the K-Nearest Neighbors (KNN) classifier, which is a widely used algorithm in machine learning. …”
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Algebraic Structures Based on a Classifying Space of a Compact Lie Group by Dae-Woong Lee

“…We analyze the algebraic structures based on a classifying space of a compact Lie group. We construct the connected graded free Lie algebra structure by considering the rationally nontrivial indecomposable and decomposable generators of homotopy groups and the cohomology cup products, and we show that the homomorphic image of homology generators can be expressed in terms of the Lie brackets in rational homology. …”
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