Machine Learning Model for Gas–Liquid Interface Reconstruction in CFD Numerical Simulations by Tamon Nakano, Michele Alessandro Bucci, Jean-Marc Gratien, Thibault Faney

“…We first develop a methodology for generating a synthetic dataset based on paraboloid surfaces discretized on unstructured meshes to obtain a dataset akin to the configurations encountered in industrial settings. …”
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Lack of robustness of hydrological models: a large-sample diagnosis and an attempt to identify hydrological and climatic drivers by L. Santos, V. Andréassian, T. O. Sonnenborg, G. Lindström, A. de Lavenne, A. de Lavenne, C. Perrin, L. Collet, L. Collet, G. Thirel

“…This paper presents a large-scale application of the robustness assessment test (RAT) for three hydrological models with different levels of complexity: GR6J, HYPE and MIKE SHE. The dataset comprises 352 catchments located in Denmark, France and Sweden. …”
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Training under pressure mirrors competition: technical-tactical insights from high-level male padel players by Rafael Conde-Ripoll, Adrián Escudero-Tena, Vicente Javier Clemente-Suárez, Vicente Javier Clemente-Suárez, Eduardo Navarro Jimenez, Álvaro Bustamante-Sánchez

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An improved DeepLabv3 + railway track extraction algorithm based on densely connected and attention mechanisms by Yanbin Weng, Jie Yang, Changfan Zhang, Jing He, Cheng Peng, Lin Jia, Hui Xiang

“…Furthermore, a dedicated dataset for railway track segmentation was established to train and evaluate the proposed method. …”
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UKSSL: Underlying Knowledge Based Semi-Supervised Learning for Medical Image Classification by Zeyu Ren, Xiangyu Kong, Yudong Zhang, Shuihua Wang

“…<italic>Methods:</italic> This study introduces an underlying knowledge-based semi-supervised framework called UKSSL, consisting of two components: MedCLR extracts feature representations from the unlabeled dataset; UKMLP utilizes the representation and fine-tunes it with the limited labeled dataset to classify the medical images. …”
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Clustering OKU Timur Script Images using VGG Feature extraction and K-Means by Liu Toriko, Susan Dian Purnamasari, Yesi Novaria Kunang, Ilman Zuhri Yadi, Andri Andri

“…One of the challenges in preparing the dataset is grouping a large number of script image samples according to the number of characters. …”
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Comparison of Real-world Outcomes Between Patients Treated with Tapentadol ER or Oxycodone CR by Mike Durkin, Jacqueline Pesa, Jessica Lopatto, Rachel Halpern, Damon Van Voorhis, Stephanie Korrer

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Burden of coeliac disease in Germany: real-world insights from a large retrospective health insurance claims database analysis by Bernd Bokemeyer, Leonarda Serdani-Neuhaus, Juliane Sünwoldt, Christina Dünweber, Svitlana Schnaidt, Detlef Schuppan

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Stimulated Reservoir Volume Characterization and Optimum Lateral Well Spacing Study of Two-Well Pad: Midland Basin Case Study by Jaeyoung Park, Candra Janova

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MDA-DETR: Enhancing Offending Animal Detection with Multi-Channel Attention and Multi-Scale Feature Aggregation by Haiyan Zhang, Huiqi Li, Guodong Sun, Feng Yang

“…Additionally, the VariFocal Loss function is utilized to assign pixel weights, enhancing detail focus and maintaining accuracy. In the dataset section, this article uses a dataset from the Northeast China Tiger and Leopard National Park, which includes images of six common offending animal species. …”
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Deep Learning based Individual Cattle Face Recognition using Data Augmentation and Transfer Learning by Caner Koç, Kamil Ekinci, Ömer Ertuğrul, Dilara Gerdan Koc, Havva Eylem Polat

“…The dataset was divided into three segments: training, validation, and testing. …”
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Effect of the Size and Position of a Damping Ditch on the Reduction of the Blasting Vibration by Baofu Duan, Shizhan Shen, Guoshan Ta, Kebin Sun, Wei Hou, Li Gu

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Noncontact Palm Vein ROI Extraction Based on Improved Lightweight HRnet in Complex Backgrounds by Fen Dai, Ziyang Wang, Xiangqun Zou, Rongwen Zhang, Xiaoling Deng

“…Next, the palm vein ROI localization and palm vein recognition are processed in self-built dataset and two public datasets (CASIA and TJU-PV). …”
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Predicting accrual success for better clinical trial resource allocation by Sisi Ma, Yinzhao Wang, John Wagner, Steve Johnson, Serguei Pakhomov, Constantin Aliferis

“…Features of the dataset were informed by prior literature and constructed using data-driven natural language processing methods. …”
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Incremental Healthcare Costs and Outpatient Antifungal Treatment of Patients with Aspergillosis in the United States by Emily Durden, Donna McMorrow, Paul Juneau, Robert Fowler, Paresh Chaudhari, David Horn

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Bioinformatics Analysis of Exercise-Related Biomarkers in Diabetes by Xiaoju Bao, Jingyue Qiu, Qin Xuan, Xinming Ye

“…We downloaded the GSE101931 dataset from the Gene Expression Omnibus (GEO) database, 10 samples were obtained from the GSE101931 dataset, including 5 before exercise and 5 postexercise samples, and GEO2R was used to screen the differentially expressed genes (DEGs) exhibited by a heat map. …”
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Estimation Model for Bread Quality Proficiency Using Fuzzy Weighted Relevance Vector Machine Classifier by Zainab N. Ali, Iman Askerzade, Saddam Abdulwahab

“…The model is trained and tested with the input dataset with data analysis steps. Some state-of-the-art classifiers are also implemented to compare the evaluated performance of the proposed model. …”
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Temporal variations landscape metrics of vegetation riparian areas in Gharesou River, Ardabil Province by Raoof Mostafazadeh, Fariba Esfandiary, Mahnaz Hamzeei, Nazila Alaei

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First record of stone moroko (Pseudorasbora parva), an invasive alien fish species, in water bodies of urban green areas in Poland by Wróblewski Paweł, Maciaszek Rafał, Kasprzak Robert

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Non-intrusive load monitoring based on time-enhanced multidimensional feature visualization by Tie Chen, Yimin Yuan, Jiaqi Gao, Shinan Guo, Pingping Yang

“…The method was validated on the PLAID dataset, achieving an average F1 score of 97.3%. Furthermore, utilizing transfer learning, the model trained and tested on the PLAID dataset was further tested on the WHITED dataset to increase the model’s universality and generalization ability, showing significant effects in identifying loads with similar V–I trajectories and multiple states.…”
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