Classification of diabetic retinopathy stages based on neural networks by M. M. Lukashevich, Y. I. Golub

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Canonical equivariant extensions using classical Hodge theory by Christopher Allday

“…Here we obtain canonical equivariant extensions much more generally by means of classical Hodge theory.…”
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The Management of Classical Hodgkin's Lymphoma: Past, Present, and Future by S. E. Richardson, C. McNamara

“…The management of classical Hodgkin's lymphoma (CHL) is a success story of modern multi-agent haemato-oncology. …”
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Classification of Heavily Damaged Building Damage after Earthquake by Varol Koç

“…In this study, severe damage types in concrete buildings observed after earthquakes were classified and investigated in relation to the structural behaviors. …”
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The use of low-density EEG for the classification of PPA and MCI by Panteleimon Chriskos, Panteleimon Chriskos, Kyriaki Neophytou, Christos A. Frantzidis, Christos A. Frantzidis, Jessica Gallegos, Alexandros Afthinos, Chiadi U. Onyike, Argye Hillis, Panagiotis D. Bamidis, Kyrana Tsapkini, Kyrana Tsapkini

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Arrhythmia Classification Techniques Using Deep Neural Network by Ali Haider Khan, Muzammil Hussain, Muhammad Kamran Malik

“…The automated screening of arrhythmia classification using ECG beats is developed for ages. …”
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Convolutional Neural Network-Based Fish Posture Classification by Xin Li, Anzi Ding, Shaojie Mei, Wenjin Wu, Wenguang Hou

“…After that, two kinds of strategies are taken to do classification. The first is a paired binary classification CNN and the second is a four-category CNN. …”
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Comparison of likelihood ratio rule with plug-in rule in classification by Kęstutis Dučinskas

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CLASSIFICATION OF SUB-LEVELS IN TURKEY WITH GUSTAFSON-KESSEL METHOD by Özge Gündoğdu, Necati Erilli

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Modern classification and molecular-genetic aspects of osteogenesis imperfecta by A. R. Zaripova, R. I. Khusainova

“…A large number of causative genes complicated the classical classification of the disease and, due to new advances in the molecular basis of the disease, the classification of the disease is constantly being improved.  …”
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Cluster Approach to the Development of Youth Entrepreneurship in Classical University by V. Y. Stromov, P. V. Sysoyev, V. V. Zav’yalov

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Exploring medicine classification and accessibility: a qualitative study by Awangku Khairi Wazien Pengiran Umar, Hui Poh Goh, Zaidah Rizidah Murang, Andi Hermansyah, Inayat Ur Rehman, Khang Wen Goh, Kwan Foong Chee, Long Chiau Ming

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Classification of ECG signals using deep neural networks by Nadour Mohamed, Cherroun Lakhmissi, Hadroug Nadji

“…This non-invasive and painless test provides essential information about the heart's function and helps in diagnosing various cardiac conditions. The classification of ECG signals using deep learning techniques has garnered substantial interest in recent years; ECG classification tasks have exhibited promising outcomes with the application of deep learning models, particularly convolutional neural networks (CNNs). …”
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Processing Technology Based on Radar Signal Design and Classification by Jianping Ou, Jun Zhang, Ronghui Zhan

“…According to radar signal respective characteristics, the design and classification of the radar signal are introduced to reflect signal’s differences and advantages. …”
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Lung cancer classification with Convolutional Neural Network Architectures by Shivan H. M. Mohammed, Ahmet Çinar

“…In this paper, lung nodule classification has been performed; the data have used of CT image is SPIE AAPM-Lung. …”
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Image classification with rotation-invariant variational quantum circuits by Paul San Sebastian Sein, Mikel Cañizo, Román Orús

“…In this work, an equivariant architecture for variational quantum classifiers is introduced to create a label-invariant model for image classification with C_{4} rotational label symmetry. …”
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Classical and Variant Avian Infectious Bronchitis Virus Strains by Gary D. Butcher, David P. Shapiro, Richard D. Miles

“…VM127/PS039: Infectious Bronchitis Virus: Classical and Variant Strains (ufl.edu)   …”
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Vision Transformers for Image Classification: A Comparative Survey by Yaoli Wang, Yaojun Deng, Yuanjin Zheng, Pratik Chattopadhyay, Lipo Wang

“…Building on the ViT, we review subsequent improvements and optimizations introduced for image classification tasks. We then compare the strengths and limitations of these transformer-based models against classic convolutional neural networks (CNNs) through experiments. …”
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STABILITY ANALYSIS OF GLOBE VALVE USING CLASSICAL TECHNIQUES by ABORISADE DAVID OLUGBENGA, OKELOLA MUNIRU OLAJIDE, ADEWUYI PHILIP ADESOLA

Subjects: “…globe valve, stability analysis, classical techniques, bode, Nyquist, root locus…”
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Microseismic Signal Classification Based on Artificial Neural Networks by Chong-wei Xin, Fu-xing Jiang, Guo-dong Jin

“…The classification of multichannel microseismic waveform is essential for real-time monitoring and hazard prediction. …”
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