ON THE QUESTION OF CLASSIFICATIONS INTERPRETATIONAL RULES by TEREKHOV E.M.

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Characteristics and classification of intangible assets by Vyacheslav V. Kress

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Classification and Characterization Methods for Heterojunctions by Zhenyu Han, Yundong Song, Yibing Jia, Yalin Wang, Jiale Shi, Xiaochun Liu, Liangliang Yu, Zhan Li, Yangyang Cheng, Hongna Zhang, Hai‐Ying Jiang

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An ensemble approach using multidimensional convolutional neural networks in wavelet domain for schizophrenia classification from sMRI data by Tamilarasi Sarveswaran, Vijayarajan Rajangam

“…Feature extraction in DWT domain explores textural changes, edges, coarse and fine details present in sMRI data from which the multidimensional feature extraction is carried out for classification.Through maximum voting technique, the proposed model optimizes schizophrenia classification from the multidimensional CNN models. …”
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Superiority of Classification Tree versus Cluster, Fuzzy and Discriminant Models in a Heartbeat Classification System. by Vessela Krasteva, Irena Jekova, Remo Leber, Ramun Schmid, Roger Abächerli

“…The training with European ST-T, AHA, MIT-BIH Supraventricular Arrhythmia databases found the best performance settings of all classification models: Cluster (30 features), Fuzzy (72 features), LDA (142 coefficients), CT (221 decision nodes) with top-3 best scored features: normalized current RR-interval, higher/lower frequency content ratio, beat-to-template correlation. …”
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Classification analysis of modern bioreactor systems (review). Part 1. Classification of bioreactors by design parameters by A. A. Dosaev, R. R. Safarov, N. V. Menshutina

“…To solve the problem of data fragmentation, an analysis of scientific papers by domestic and foreign authors on existing types of bioreactors and their classification was carried out. Based on the results of the analysis, this paper presents the first part of the structured information on the classification of bioreactors related to the design features of the devices – classification by design type and appearance. …”
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An Ensemble Classification Method Based on a Stacking Strategy for Ship Type Classification with AIS Data by Lei Deng, Shichen Yang, Limin Jia, Danyang Geng

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Reevaluating the Mutation Classification in Genetic Studies of Bradycardia Using ACMG/AMP Variant Classification Framework by Liting Cheng, Xiaoyan Li, Lin Zhao, Zefeng Wang, Junmeng Zhang, Zhuo Liang, Yongquan Wu

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PCCNN: A CNN classification model integrating EEG time-frequency features for stroke classification by Teng Wang, Fenglian Li, Jia Yang, Wenhui Jia, Fengyun Hu

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The CatSouth Quasar Candidate Catalog for the Southern Sky and a Unified All-sky Catalog Based on Gaia DR3 by Yuming Fu, Xue-Bing Wu, R. J. Bouwens, Karina I. Caputi, Yuxuan Pang, Rui Zhu, Da-Ming Yang, Jin Qin, Huimei Wang, Christian Wolf, Yifan Li, Ravi Joshi, Yanxia Zhang, Zhi-Ying Huo, Y. L. Ai

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3-D–2-D Hybrid Lightweight CNN Model: Enhancing Canopy Feature Retrieval in Hyperspectral Imaging for Accurate Plant Species Classification by Chinsu Lin, Hung-Yi Chien, Keng-Hao Liu

“…These findings highlight Hybrid-LtCNN’s scalability, interpretability, and potential for practical applications in remote sensing-based plant species classification.…”
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Development and validation of an ultrasound-based interpretable machine learning model for the classification of ≤3 cm hepatocellular carcinoma: a multicentre retrospective diagnostic studyResearch in context by Zhicheng Du, Fangying Fan, Jun Ma, Jing Liu, Xing Yan, Xuexue Chen, Yangfang Dong, Jiapeng Wu, Wenzhen Ding, Qinxian Zhao, Yuling Wang, Guojun Zhang, Jie Yu, Ping Liang

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Custom Patient-Specific 3D-Printed Titanium Truss Tibiotalocalcaneal Arthrodesis Implants for Failed Total Ankle Replacements: Classification, Technical Tips and Treatment Algorithm by Thomas L. Lewis BSc (Hons) MBChB (Hons) FRCS (Tr&Orth) MFSTEd, Roland Walker BSc MSc MBBS FRCS(Tr&Orth), Yousif Alkhalfan MB BCh BAO MRCS, Ahmed Latif MBBChir, FRCS(Tr&Orth), MD, Ali Abbasian MBBS FRCS(Tr&Orth)

“…The mean follow up was 3.0 years (range 1-4.5). The mean MOXFQ Index improved from 73.1 to 32.3 (p< 0.05). …”
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SkinIncept: an ensemble transfer learning-based approach for multiclass skin disease classification using InceptionV3 and InceptionResNetV2 by Md. Hasan Imam Bijoy, Md. Mahbubur Rahman, Abdus Sattar, Aminul Haque, Mohammad Shamsul Arefin, Pranab Kumar Dhar, Tetsuya Shimamura

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LONG-CHAIN POLYUNSATURATED ω-3 AND ω-6 FATTY ACIDS AS ESSENTIAL NUTRIENTS IN DIFFERENT PERIODS OF CHILDHOOD by S. G. Makarova, E. A. Vishneva

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Vision Transformer Embedded Feature Fusion Model with Pre-Trained Transformers for Keratoconus Disease Classification by Md Fatin Ishrak, Md Maruf Rahman, Md Imran Kabir Joy, Anna Tamuly, Salma Akter, Dewan M. Tanim, Shahajada Jawar, Nayeem Ahmed, Md Sadekur Rahman

“…The primary objective of this research is to develop a feature fusion hybrid deep learning framework that integrates pretrained Convolutional Neural Networks (CNNs) with Vision Transformers (ViTs) for the automated classification of keratoconus into three distinct categories: Keratoconus, Normal, and Suspect. …”
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G&G Attack: General and Geometry-Aware Adversarial Attack on the Point Cloud by Geng Chen, Zhiwen Zhang, Yuanxi Peng, Chunchao Li, Teng Li

Subjects: “…3D…”
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Land Cover Classification Model Using Multispectral Satellite Images Based on a Deep Learning Synergistic Semantic Segmentation Network by Abdorreza Alavi Gharahbagh, Vahid Hajihashemi, José J. M. Machado, João Manuel R. S. Tavares

“…Land cover classification (LCC) using satellite images is one of the rapidly expanding fields in mapping, highlighting the need for updating existing computational classification methods. …”
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Integrating Bayesian classification and ANN for lithofacies classification using well and seismic data: Bahregansar case study by Hessam Mansouri Siahgoli, Mohammad Ali Riahi, Majid Nabi-Bidhendi, Seyedmohsen Seyedali

“…This study presents a novel integration of Bayesian classification and artificial neural networks (ANN), resulting in a 3D lithofacies distribution model along with associated probabilities, offering new insights into reservoir quality and spatial distribution. …”
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A Retrospective Study of Functional Outcomes in Rockwood Type III and V Acromioclavicular Joint Dislocations Managed with Double Endobutton Technique by Anubhav Sharma, Shikhar Bindal, Tarkik Thami, Rajnish Garg, Pankaj Mahindra

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