Neural models for detection and classification of brain states and transitions by Arnau Marin-Llobet, Arnau Manasanch, Leonardo Dalla Porta, Melody Torao-Angosto, Maria V. Sanchez-Vives

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Impact of bus alighting information on fine classification of transit riders by LI Jun, OU Jingyi, ZHAO Wenting

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Training a convolutional neural network for exoplanet classification with transit photometry data by Juliana Wang

“…Machine learning has then emerged as a powerful alternative, offering rapid image classification and the ability to analyze complex datasets in a short span of time. …”
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Redefining lumbosacral transitional vertebrae classification: Morphological variation in a South African population by G.J. Paton, S. Nalla, S.A. Williams, G.J. Louw

“…Background: Lumbosacral transitional vertebrae (LSTV) are common anatomical variants where the last lumbar vertebra demonstrates unilateral or bilateral enlargement of the transverse processes, with articulation or fusion to the sacrum. …”
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Classification of mountain-based rail transit stations and analysis of passenger flow influencing mechanisms. by Qingru Zou, Yue Xia, Xinchen Ran, Xueli Guo, Jiaxiao Feng

“…We propose a method to classify rail transit stations by considering the mountainous features and establish a multiscale geographically weighted regression (MGWR) model to assess the classification results. …”
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Bertolotti's syndrome in low-backache population: Classification and imaging findings by Reddy Ravikanth, Pooja Majumdar

Subjects: “…Castellvi classification…”
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Machine learning-aided hybrid technique for dynamics of rail transit stations classification: a case study by Ahad Amini Pishro, Shiquan Zhang, Alain L’Hostis, Yuetong Liu, Qixiao Hu, Farzad Hejazi, Maryam Shahpasand, Ali Rahman, Abdelbacet Oueslati, Zhengrui Zhang

Subjects: “…Rail Transit Station Classification…”
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Modes at Guangzhou Urban Rail Transit Stations by CAI Hanzhe, LIN Junyan, WANG Zhi, YE Xiafei

Subjects: “…urban rail transit…”
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Verbs in Hindi: A semantico-syntactic classification by Richa Richa

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Verbs in Hindi: A semantico-syntactic classification by Richa Richa

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Verbs in Hindi: A semantico-syntactic classification by Richa Richa

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Verbs in Hindi: A semantico-syntactic classification by Richa Richa

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Novel accurate classification system developed using order transition pattern feature engineering technique with physiological signals by Mehmet Ali Gelen, Prabal Datta Barua, Irem Tasci, Gulay Tasci, Emrah Aydemir, Sengul Dogan, Turker Tuncer, U. R. Acharya

“…These results demonstrate high performance and clear interpretability, highlighting the model’s potential for robust biomedical signal classification.…”
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What have we learned from long-term studies in juvenile idiopathic arthritis? – Prediction, classification, transition. by Marite Rygg, Filipa Oliveira Ramos, Ellen Berit Nordal

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A Benchmark Dataset for Sentinel-2 Based Forest Type Classification in the Siberian Summergreen-Evergreen Forest Transition Zone by Femke van Geffen, Ronny Hansch, Begum Demir, Stefan Kruse, Ulrike Herzschuh, Birgit Heim

Subjects: “…random forest (RF) classification…”
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Transitional Nerve: A New and Original Classification of a Peripheral Nerve Supported by the Nature of the Accessory Nerve (CN XI) by Brion Benninger, Jonathan McNeil

“…We propose a new classification of the accessory nerve as a transitional nerve, which demonstrates characteristics of both spinal and cranial nerves.…”
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Application of MTF-SKNet for Wood Species Classification Using Mid-Infrared Spectroscopy by Ying-Jian Xin, Pei-Pei Fang, Hong-Peng Wang, Xiong Wan

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Lumbosacral Transitional Vertebra-Prevalence of Different Types in South Indian Population with Low Backache by V. Sivakumar, C. Poonam, D. Ethiraj, I .Venkatraman

Subjects: “…castellvi classification…”
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Research on Intelligent Classification of Service Hotline Work Orders Based on Semantic Recognition by MAO Xiaolei

Subjects: “…rail transit…”
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Modeling Higher-Order Interactions in Graphs Through Combinatorial Arc-Transitive Structure Using Graph Convolutional Network by Qingwei Wen

“…Furthermore, adaptive spectral filters across distinct Petal-Complex Laplacian spectral domains enable the effective capture of both localized and global structural patterns in combinatorial arc-transitive complexes. Our experimental evaluations on various benchmark graph datasets—including both homogeneous and heterogeneous structures—demonstrate that HiGCN significantly outperforms state-of-the-art models in node classification and graph classification tasks, particularly in domains such as bioinformatics, social networks, and recommendation systems. …”
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