Node Classification on The Citation Network Using Graph Neural Network by Irani Hoeronis, Bambang Riyanto Trilaksono

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Feature extraction using sparse component decomposition for face classification by Hamid Reza Shahdoosti

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Research on backup and remapping of network slice based on security classification by Zhiyong SUN, Xinsheng JI, Wei YOU, Quan YUAN

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Proposed Classification of Midline Lingual Canal: A CBCT Study by Mansi A. Khatri, Yesha V. Jani, Reeta Jha, Deepankar Misra, Siddharth G. Modi, Harmi Patel

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Language Architecture; a Proposal in the Classification of the Elements of Speech Beauty by Davood Mohammadi, Mohammad reza Eslami

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Sparse Graph Embedding Based on the Fuzzy Set for Image Classification by Minghua Wan, Mengting Ge, Tianming Zhan, Zhangjing Yang, Hao Zheng, Guowei Yang

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Machine Learning Models for Artist Classification of Cultural Heritage Sketches by Gianina Chirosca, Roxana Rădvan, Silviu Mușat, Matei Pop, Alecsandru Chirosca

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Classification of Melanoma Cancer Using Deep Convolutional Neural Networks by Emrah Dönmez, Ali Güneş

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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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Biopharmaceutical classification of desloratadine – not all drugs are classified the easy way by Berginc Katja, Sibinovska Nadica, Žakelj Simon, Trontelj Jurij, Legen Igor

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Peculiarities of natural honey classification in the course of forensic commodity examination by P. P. Kanivets

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An Incremental Self-Adaptive Wood Species Classification Prototype System by Peng Zhao, Zhen-Yu Li, Yue Li

“…Then, these wood samples are considered as a new known species and are sent into the classifiers, SVDD and BP neural network, to train them again. Experiments on 13 wood species prove the effectiveness of our prototype system with an overall classification accuracy of above 95%.…”
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Perfusion MRI in automatic classification of multiple sclerosis lesion subtypes by Ehsan Homayouny, Rasoul Mahdavifar Khayati, Seyed Massood Nabavi, Vania Karami

“…Adding 3‐Tesla perfusion MRI to the proposed model for the subtype classification led to an increment of about 7% and 13% in the sensitivity of acute and chronic lesion classifications, respectively. …”
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Classification of environments based on correlations of yield in spring bread wheat by S. B. Lepekhov

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Classification of Keruing (Dipterocarpus spp.) in Indonesia on the Basis of Fruit Characters by Dwi Tyaningsih Adriyanti, Soekotjo Soekotjo, Mochammad Na'iem, Anto Rimbawanto

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A Mobile Deep Learning Classification Model for Diabetic Retinopathy by Daniel Rimaru, Antonio Nehme, Musaed Alhussein, Khaled Mahbub, Khusheed Aurangzeb, Anas Khan

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

“…The approach aims to enhance signal analysis and classification, particularly in the context of heartbeat classification. …”
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An Enhanced Approach Using AGS Network for Skin Cancer Classification by Hwanyoung Lee, Seeun Cho, Jiyoon Song, Hoyoung Kim, Youjin Shin

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Classification of Visual Cortex Plasticity Phenotypes following Treatment for Amblyopia by Justin L. Balsor, David G. Jones, Kathryn M. Murphy

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Author Correction: Classification of distinct tendinopathy subtypes for precision therapeutics by Chenqi Tang, Zetao Wang, Yuanhao Xie, Yang Fei, Junchao Luo, Canlong Wang, Yue Ying, Peiwen He, Ruojing Yan, Yangwu Chen, Jiayun Huang, Yiwen Xu, Zicheng Wang, Boon Chin Heng, Hengzhi Liu, Jianyou Li, Zi Yin, Haobo Wu, Weishan Chen, Hongwei Ouyang, Xiao Chen, Weiliang Shen

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