Fracture Line Morphology and a Novel Classification of Pilon Fractures by Jichao Liu, Chengdong Piao, Guanlu Cui, Haipeng Sun, Zhengwei Li

Subjects: “…classification…”
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Similarity Measure Learning in Closed-Form Solution for Image Classification by Jing Chen, Yuan Yan Tang, C. L. Philip Chen, Bin Fang, Zhaowei Shang, Yuewei Lin

“…Particularly, we give a closed-form solution avoiding iterative search for a local optimal solution in the high-dimensional space as the previous work did. Finally, classification experiments have been performed on face databases and a handwritten digits database to demonstrate the efficiency and reliability of CSML and KCSML.…”
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Optimization of VGG-16 Accuracy for Fingerprint Pattern Imager Classification by Agus Andreansyah, Julian Supardi

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Contestations Over Classifications: Latinos, the Census and Race in the United States by Clara E. Rodríguez

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ECG heartbeat classification using progressive moving average transform by Rabah Mokhtari, Samir Brahim Belhouari, Khelil Kassoul, Abderraouf Hocini

“…Our approach integrates PMAT with a 2D-Convolutional Neural Network (CNN) model for the classification of ECG heartbeat signals. The 2D-CNN model is employed to extract meaningful features from the transformed 2D representations and classify them efficiently. …”
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Feminism and androgyny: Gender politics in contemporary classical Chinese opera by Lisha Xu

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Calcinosis Universalis of the Elbow: A Rare Case with Classical Presentation by Sebastian Philipp Boelch, Thomas Barthel, Sascha Goebel, Maximilian Rudert, Piet Plumhoff

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On the foundations of a new approach to statistical mechanics of classical systems by S. N. Bagghi

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Adaptive Oversampling via Density Estimation for Online Imbalanced Classification by Daeun Lee, Hyunjoong Kim

“…However, it faces critical challenges, including concept drift, where data distributions evolve over time, and class imbalance, which significantly hinders the accurate classification of minority classes. Addressing these issues simultaneously remains a challenging research problem. …”
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Research on the Application of Deep Learning Methods in the Field of Image Classification by Peng Yuhui

“…With the rapid development of image classification technology, it has become a current research hotspot to apply image classification technology to various fields and to improve the accuracy and efficiency of image classification technology in various fields. …”
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An Efficient Feature Subset Selection Algorithm for Classification of Multidimensional Dataset by Senthilkumar Devaraj, S. Paulraj

“…Therefore, we need a robust feature selection technique for selecting the optimum single subset of the features of the MDD for further analysis or to design a classifier. In this paper, an efficient feature selection algorithm is proposed for the classification of MDD. …”
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THE SELF IN THE WORLD: OVERCOMING CLASSICAL DUALISM AND SHAPING NEW LANDMARKS by U. I. Lushch

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Classical Biological Control of Brazilian Peppertree (Schinus terebinthifolia) in Florida by J.P. Cuda, D.H. Habeck, W.A. Overholt, J.C. Medal, J.H. Pedrosa-Macedo, M. Vitorino

“… This document discusses the classical biological control of the invasive Brazilian peppertree (Schinus terebinthifolia) in Florida. …”
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Feature Extraction and Classification of Music Content Based on Deep Learning by Qianqiu Shi, Young Chun Ko

“…To study the use of in-depth training in extracting and classifying the content of music samples, the work offers an algorithm for identifying and classifying musical genres based on a deep network of beliefs, enabling it to be used to extract and classify traditional Chinese musical instruments, and using real-world experiments to test its performance after training. …”
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Enhancing Software Requirements Classification with Semisupervised GAN-BERT Technique by Gregorius Airlangga

“…A considerable number of classifier models have been put forward, many of which show encouraging results. …”
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Classification of Alzheimer's disease using unsupervised diffusion component analysis by Dominique Duncan, Thomas Strohmer

“…The key difference between our method and others used to classify and detect AD early in its course is our nonlinear and local network approach, which overcomes calibration differences among different scanners and centers collecting MRI data and solves the problem of individual variation in brain size and shape. …”
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Transverse-layer partitioning of artificial neural networks for image classification by N.A. Vershkov, M.G. Babenko, N.N. Kuchukov, V.A. Kuchukov, N.N. Kucherov

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Deep Transfer Learning for Biology Cross-Domain Image Classification by Chunfeng Guo, Bin Wei, Kun Yu

“…Automatic biology image classification is essential for biodiversity conservation and ecological study. …”
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Breast cancer classification based on hybrid CNN with LSTM model by Mourad Kaddes, Yasser M. Ayid, Ahmed M. Elshewey, Yasser Fouad

“…The speed-up process of detection and classification is crucial for effective cancer treatment. …”
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Relation between classical and intuitionistic sequent calculi of temporal logic by Romas Alonderis

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