Machine Learning Approach to Characterize Ferromagnetic La0.7Sr0.3MnO3 Thin Films via Featurization of Surface Morphology by Sanghyeok Ryou, Jihyun Lim, Minwoo Jang, Kitae Eom, Sunwoo Lee, Hyungwoo Lee

Subjects: “…classifations…”
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Motor phenotypes of amyotrophic lateral sclerosis – a three-determinant anatomical classification based on the region of onset, propagation of motor symptoms, and the degree of upper and lower motor neuron dysfunction by Thomas Meyer, Matthias Boentert, Julian Großkreutz, Patrick Weydt, Sarah Bernsen, Peter Reilich, Robert Steinbach, Annekathrin Rödiger, Joachim Wolf, Ute Weyen, Albert C. Ludolph, Jochen Weishaupt, Susanne Petri, Paul Lingor, René Günther, Wolfgang Löscher, Markus Weber, Christoph Münch, André Maier, Torsten Grehl

“…A three-determinant anatomical classification was proposed which is based on the (1) region of onset (O), (2) the propagation of motor symptoms (P), and (3) the degree of upper (UMN) and/or lower motor neuron (LMN) dysfunction (M). …”
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Validation of a methodology to automatically classify design stage 3D models into activity units using PointNet and PointNet++ algorithms by Jae Hee Lee, Leen Seok Kang

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A nomogram for diagnosis of BI-RADS 4 breast nodules based on three-dimensional volume ultrasound by Xianping Jiang, Chen Chen, Jincao Yao, Liping Wang, Chen Yang, Wei Li, Di Ou, Zhiyan Jin, Yuanzhen Liu, Chanjuan Peng, Yifan Wang, Dong Xu

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ENHANCING DISEASE DETECTION PREDICTION ACCURACY OF GRAPE LEAVES USING VGG16 MODEL AND INCEPTION V3 MODEL by Deepshikha Yadav, Archana Balyan, Suman Mann, Aayush Ranga

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Specific features of designing a database for neuro-oncological 3D MRI images to be used in training artificial intelligence by E. V. Amelina, A. Yu. Letyagin, B. N. Tuchinov, N. Yu. Tolstokulakov, M. E. Amelin, E. N. Pavlovsky, V. V. Groza, S. K. Golushko

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Retinal Map of Peripheral Retinal Degenerations and Tears. Part 3. Vitreoretinal Retinal Degeneration by V. A. Shaimova, N. A. Klyuchko, G. R. Islamova, T. B. Shaimov, S. Kh. Kuchkildina, R. B. Shaimov, A. A. Askaeva, M. S. Ivin, A. V. Fomin

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Confluence satellite image classification by Jorge Osvaldo Castillo-Pereyra, Fabián Rivera-Trejo, Hector Oswaldo Rubio-Arias

“…Similarity between the width of the three rivers and intersection angle between 80° and 160°; and group III. …”
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Advances in Glomeromycota taxonomy and classification by F. Oehl, E. Sieverding, J. Palenzuela, K. Ineichen, G. Alves da Silva

“…Spore bimorphism is found in three genera, and one genus is associated with cyanobacteria. …”
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Open Data-Driven 3D Building Models for Micro-Population Mapping in a Data-Limited Setting by Kittisak Maneepong, Ryota Yamanotera, Yuki Akiyama, Hiroyuki Miyazaki, Satoshi Miyazawa, Chiaki Mizutani Akiyama

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Decoding healthcare resilience for sustainable development goal 3: A machine learning analysis of global health systems by Ibrahim Alnafrah, Alexander Poroshin

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Real time blood detection in CCTV surveillance using attention enhanced InceptionV3 by Adnan Khalil, Fakhre Alam, Dilawar Shah, Irshad khalil, Shujaat Ali, Muhammad Tahir

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Molecular Classification of Hepatocellular Adenomas by Jean Charles Nault, Jessica Zucman Rossi

“…Three major molecular pathways have been identified altered in specific HCA subgroups that are defined by either (1) inactivation of hepatocyte nuclear factor 1A (HNF1A) transcription factor, (2) activation of the WNT/β-catenin by CTNNB1 mutations, or (3) activation of the IL6/STAT3 pathway by somatic mutation of IL6ST, GNAS, or STAT3. …”
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An Ensemble Framework for Text Classification by Eleni Kamateri, Michail Salampasis

“…Moreover, we conduct experiments to compare the effectiveness of ensemble systems against base models and state-of-the-art methods on multiple datasets (three patent classification and two text classification datasets), including long and short texts and single- and/or multi-labeled texts. …”
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Epidemiology education: classification of courses by Naeima Houssein

“…Effective epidemiology training programs are based on acquiring knowledge of the core competencies of epidemiology in three parts: 1. epidemiological methods and measures, 2. branches of epidemiology, and 3. supporting courses. …”
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MSTransBTS—A Novel Integration of Mamba with Swin Transformer for 3D Brain Tumour Segmentation by Jia Qin Ngu, Humaira Nisar, Chi-Yi Tsai

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A mobile hybrid deep learning approach for classifying 3D-like representations of Amazonian lizards by Arthur Gonsales da Silva, Arthur Gonsales da Silva, Roger Pinho de Oliveira, Caio de Oliveira Bastos, Caio de Oliveira Bastos, Elena Almeida de Carvalho, Bruno Duarte Gomes

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3D Convolutional Neural Networks for Brain Tumor Analysis in Multimodal MRI: A Systematic Review by Hamza S. Alsmadi, Hazlina Hamdan, Norwati Mustapha, Noridayu Manshor

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Clinical classification of brow ptosis by Daniel Sundfeld Spiga Real, Rodrigo Pacheco Reis, Roney Gonçalves Fechini Feitosa, Elvio Bueno Garcia, Masako Ferreira

“…Group 1: 18 to 30 years of age, Group 2: 31 to 60 years of age, and Group 3: 61 to 100 years of age. Three measurements were taken on each side by different examiners blinded to each other's results. …”
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Structural classification of vitamins P by A. Levitsky, V. Malinovskii

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