Application of Feature Fusion Using Coaxial Vibration Signal for Diagnosis of Rolling Element Bearings by Jing Jiao, Jianhai Yue, Di Pei, Zhunqing Hu

“…The fault classification results demonstrate that the proposed approach is a valuable tool for bearing faults detection, and the fused feature from coaxial sensors improves fault classification accuracy for REBs.…”
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Deep Learning Technology for Weld Defects Classification Based on Transfer Learning and Activation Features by Chiraz Ajmi, Juan Zapata, Sabra Elferchichi, Abderrahmen Zaafouri, Kaouther Laabidi

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The Hound of the Baskervilles : Histoire, fantasme et genèse de la narration policière by Christophe Gelly

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Spectroscopic, Thermally Induced, and Theoretical Features of Neonicotinoids’ Competition for Adsorption Sites on Y Zeolite by Bojana Nedić Vasiljević, Maja Milojević-Rakić, Maja Ranković, Anka Jevremović, Ljubiša Ignjatović, Nemanja Gavrilov, Snežana Uskoković-Marković, Aleksandra Janošević Ležaić, Hong Wang, Danica Bajuk-Bogdanović

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Understanding Video Transformers: A Review on Key Strategies for Feature Learning and Performance Optimization by Nan Chen, Tie Xu, Mingrui Sun, Chenggui Yao, Dongping Yang

“…The video transformer model, a deep learning tool relying on the self-attention mechanism, is capable of efficiently capturing and processing spatiotemporal information in videos through effective spatiotemporal modeling, thereby enabling deep analysis and precise understanding of video content. …”
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Application of Ontology Matching Algorithm Based on Linguistic Features in English Pronunciation Quality Evaluation by Shan Zhu

“…This paper uses the method of tree kernel function to measure the similarity of two ontology trees. According to the features of nodes in ontology tree, methods to calculate the external features and internal features of nodes are proposed, respectively. …”
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Feature-Based Classification of Amino Acid Substitutions outside Conserved Functional Protein Domains by Branislava Gemovic, Vladimir Perovic, Sanja Glisic, Nevena Veljkovic

“…The new algorithm is based on the informational spectrum method (ISM), a feature-based technique, and statistical analysis. …”
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An XAI Approach to Melanoma Diagnosis: Explaining the Output of Convolutional Neural Networks with Feature Injection by Flavia Grignaffini, Enrico De Santis, Fabrizio Frezza, Antonello Rizzi

“…In contrast, the Shapley additive explanations method was used to perform a feature importance analysis on the additional handcrafted information. …”
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Diagnostic features and surgical treatment of malignant heart tumor - hemangioendothelioma: A case report by Khamidulla Zh. Buranov, Khamidulla A. Abdumadzhidov

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Mutual information-based radiomic feature selection with SHAP explainability for breast cancer diagnosis by Oladosu Oyebisi Oladimeji, Hamail Ayaz, Ian McLoughlin, Saritha Unnikrishnan

“…Breast cancer is a prevalent concern for women globally, with misdiagnosis potentially leading to detrimental outcomes. Early detection is crucial, often reliant on medical imaging analysis. …”
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Modern epidemiological features of viral acute intestinal infections in children and adolescents of Sakhalin region by E. Yu. Sapega, L. V. Butakova, O. E. Trotsenko

“…Objective: to identify modern epidemiological features of viral acute intestinal infections in children and adolescents in the Sakhalin Region.Materials and methods. …”
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An Accurate LiDAR-Inertial SLAM Based on Multi-Category Feature Extraction and Matching by Nuo Li, Yiqing Yao, Xiaosu Xu, Shuai Zhou, Taihong Yang

“…First, we employ a robust multi-category feature extraction method based on principal component analysis (PCA), which effectively filters out noisy and weakly structured points, ensuring stable feature representation. …”
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Application Framework and Optimal Features for UAV-Based Earthquake-Induced Structural Displacement Monitoring by Ruipu Ji, Shokrullah Sorosh, Eric Lo, Tanner J. Norton, John W. Driscoll, Falko Kuester, Andre R. Barbosa, Barbara G. Simpson, Tara C. Hutchinson

“…A feature point tracking-based algorithm for square checkerboard patterns and a Hough Transform-based algorithm for concentric circular patterns are developed to ensure reliable detection and tracking of image features. …”
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A Smart Web-Based Power Quality and Energy Monitoring System With Enhanced Features by Rami Moustafa, Hussain Shareef, Madathodika Asna, Rachid Errouissi, Jeyraj Selvaraj

“…The PQEm device includes time-frequency analysis to enhance visualization and characterization of voltage and current data. …”
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Thyroglobulin-to-tumor volume ratio combined with ultrasound features for diagnosing thyroid follicular neoplasms by Xixi Zhu, Xixi Zhu, Fen Liu, Jiaye Liu, Jiaye Liu, Zhihui Li, Yu Ma

“…The combined diagnostic model incorporating Tg/Vol ratio and CEUS features significantly improves FTC detection accuracy.…”
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Features of Bearing on Underwater Object Using Phase Information of a Differential Stereo Sensor by V. A. Shirokov, A. I. Bazhenova, V. N. Milich

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Features of the functional state of the enteropancreatic hormonal system in pregnant women with gestational diabetes mellitus by F. O. Ushanova, T. Y. Demidova, T. N. Korotkova

“…Korotkova21Pirogov Russian National Research Medical University, Moscow, Russia2Federal Research Centre of Nutrition, Biotechnology and Food Safety, Moscow, RussiaBACKGROUND: The prevalence of gestational diabetes mellitus (GDM) is growing rapidly, along with which the typical portrait of a pregnant woman with this disease is changing. Frequent detection of GDM in the early stages of pregnancy causes a high interest in the study of new mechanisms of its development.AIM: Evaluation of the state of the incretin response based on the analysis of the secretion of GLP-1, glucagon, insulin and c-peptide in pregnant women with different periods of GDM development.MATERIALS AND METHODS: A single-center prospective comparative uncontrolled study that included pregnant women with GSD, divided into 2 groups depending on the duration of the disease: group 1 — pregnant women who were diagnosed at <24 weeks of gestation (n=65), group 2 — at ≥24 weeks of gestation (n=26). …”
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Deep Learning-Driven Multi-Temporal Detection: Leveraging DeeplabV3+/Efficientnet-B08 Semantic Segmentation for Deforestation and Forest Fire Detection by Joe Soundararajan, Andrew Kalukin, Jordan Malof, Dong Xu

“…This study presents a deep learning framework that combines the DeepLabV3+ architecture with an EfficientNet-B08 backbone to address both deforestation and wildfire detection using satellite imagery. The system utilizes advanced multi-scale feature extraction and Group Normalization to enable robust semantic segmentation under challenging atmospheric conditions and complex forest structures. …”
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Clinical and histopathological features of lupus nephritis and the risk of long-term kidney outcomes in Indonesia by Ni Made Hustrini, Ni Made Hustrini, Endang Susalit, Monik Ediana Miranda, Meilania Saraswati, Y. K. Onno Teng, Merel van Diepen, Joris I. Rotmans

“…A linear mixed-model analysis was performed to assess the association between lupus nephritis class and kidney function decline.ResultsThis study included 268 patients, with a mean age of 28.7 + 8.5 years, and 94.8% were female. …”
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Different features of acute myeloid leukemia stem cell quantification in intensively treated patients by Lok Lam Ngai, Tom Reuvekamp, Diana Hanekamp, Fleur Janssen, Laura Oudshoorn-van Marsbergen, Jannemieke Carbaat-Ham, Maaike A.M. Hofland, Mona M.H.E. Fayed, Angèle Kelder, Willemijn J. Scholten, Alexander N. Snel, Costa Bachas, Jesse M. Tettero, Dimitri A. Breems, Thomas Fischer, Bjørn T. Gjertsen, Laimonas Griškevičius, Gunnar Juliusson, Arjan A. van de Loosdrecht, Johan A. Maertens, Markus G. Manz, Thomas Pabst, Jakob R. Passweg, Kimmo Porkka, Peter J.M. Valk, Patrycja Gradowska, Bob Löwenberg, Gert J. Ossenkoppele, David C. de Leeuw, Jacqueline Cloos

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