Cutting edge technologies in the imaging of spondyloarthritis by Min Chen, Arwa Elawad, Nele Herregonds, Lennart Jans, Winston J Rennie

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Périphéricité et ultrapériphéricité insulaires dans l’Union européenne by André-Louis Sanguin

“…The EU’s peripheral and ultraperipheral islands issue appeared with the successive membership of maritime states and with the official EEZ implementation in 1994. …”
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Pathogenetic mechanisms of macular holes: a review of recent research work by R. R. Fayzrakhmanov, O. A. Pavlovsky, G. O. Karpov

“…A classification of macular holes is proposed.…”
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CHARACTERISATION PROCEDURES IN THE NOVEL POSLIJE ZABAVE BY STEVO GRABOVAC by Jelena G. Reljić

“…Taking into account the issue of classification of characters and the impossibility of placing them within a single general theory, the paper highlights only the most prominent procedures as regards the novel and leaves room for more comprehensive analyses. …”
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Extraction of Garlic in the North China Plain Using Multi-Feature Combinations from Active and Passive Time Series Data by Chuang Peng, Binglong Gao, Wei Wang, Wenji Zhu, Yongqi Chen, Chao Dong

“…Feature combinations were devised, incorporating two vegetation indices into a comprehensive time series, along with Sentinel-1 synthetic aperture radar (SAR) time series and other temporal datasets. Multiple classification combinations were employed to extract garlic within the study area, and the accuracy of the classification results was systematically analyzed. …”
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Aero-engine fault diagnosis based on time series anomaly detection by WANG Yinru

“…The fault diagnosis of aero-engines is confronted with a data skew issue，where the number of fault sam ples is significantly fewer than normal samples，and the fault samples can't adequately represent the entire operating conditions，resulting in poor generalization ability of conventional classification models. …”
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Introduction pages, Nova Geodesia 5(3), 2025 by Paul SESTRAS

“… Nova Geodesia (https://novageodesia.ro), Issue 3, Volume 5, 2025: The papers published in this issue represent interesting novelties in different topics of geodetic science or related fields. …”
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Views regarding methodology of contemporary European studies by Grigore VASILESCU, Cristina MORARI

“…Another problem is the controversy of the issue, because there are a lot of visions and opinions regarding the status of European Studies methodology. …”
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Analyzing Strategies for Climate Change Mitigation: An ISM MICMAC Approach with a Focus on Sustainable Development by Mahaur Chetna, Peter Sonia

“…Climate change has become a global issue nowadays, affecting countries all over the world. …”
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From KL Divergence to Wasserstein Distance: Enhancing Autoencoders with FID Analysis by Laxmi Kanta Poudel, Kshtiz Aryal, Rajendra Bahadur Thapa, Sushil Poudel

“…Additionally, the evaluation considers the issue of class imbalance in the ODIR dataset, where WAEs demon- strate superior accuracy and precision in classification tasks. …”
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FINANCIAL REPORTING: ANALYSIS OF THE REGULATORY FRAMEWORK OF THE REPUBLIC OF MOLDOVA by Liliana LAZARI, Irina IAVORSCHI

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Analysis of the Customer Churn Prediction Project in the Hotel Industry Based on Text Mining and the Random Forest Algorithm by Leila Taherkhani, Amir Daneshvar, Hossein Amoozad Khalili, Mohamad Reza Sanaei

“…In this research, an approach based on text mining on customers’ comments in the Persian language is presented, which uses the random forest algorithm for classification that was considered the most effective method to solve this problem. …”
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A Dynamic Ensemble Framework for Mining Textual Streams with Class Imbalance by Ge Song, Yunming Ye

“…Textual stream classification has become a realistic and challenging issue since large-scale, high-dimensional, and non-stationary streams with class imbalance have been widely used in various real-life applications. …”
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Lung Cancer Prediction Using an Enhanced Neutrosophic Set Combined with a Machine Learning Approach by Vakeel A. Khan, Asheesh Kumar Yadav, Mohammad Arshad, Nadeem Akhtar

“…To address this issue, we propose an Enhanced Neutrosophic Set (ENS) framework integrated with machine learning algorithms to improve the prediction accuracy of lung cancer. …”
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An Efficient Dropout for Robust Deep Neural Networks by Yavuz Çapkan, Aydın Yeşildirek

“…Overfitting remains a major difficulty in training deep neural networks, especially when attempting to achieve good generalization in complex classification tasks. Standard dropout is often employed to address this issue; however, its uniform random inactivation of neurons typically leads to instability and insufficient performance increases. …”
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Fisheye omnidirectional stereo depth estimation assisted with edge-awareness by Junren Sun, Hao Xue, Shibo Guo, Xunqi Zheng

“…A cost volume is built for different depth hypotheses, which is then regularized using a 3D convolutional network. To address the issue of depth value discretization, we employ a hybrid classification and regression strategy: the classification branch predicts the probability distribution of depth categories, while the regression branch uses weighted linear interpolation to compute the final depth values based on these probabilities. …”
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Advancing Few-Shot Named Entity Recognition with Large Language Model by Yuhui Xiao, Jianjian Zou, Qun Yang

“…To further reduce the difficulty of entity classification, we introduce multiple label-filtering strategies to reduce the difficulty for LLMs in performing entity classification. …”
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Feature Transformation-Based Few-Shot Class-Incremental Learning by Xubo Zhang, Yang Luo

“…After classification, both class prototypes and query samples are projected into the transformed feature space to improve the overall feature distribution. …”
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Model of “Soft” and “Hard” Euroscepticism: Estonian Case by Sergei A. Tambi

“…The article explores the features of party Euroscepticism on the example of the Estonian case. A classification of a number of modern Estonian political parties is given on the basis of their classification as “hard” or “soft” Eurosceptics. …”
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Mind wandering in sensory cortices by Shao-Min Hung, Po-Jang Hsieh

“…Unique patterns in classification were revealed in different individuals, pointing to individual variances in our phenomenal experiences.…”
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