Hyper-resolution naturalized streamflow data for Geum River in South Korea (1951–2020) by Byeong-Hee Kim, Young-Oh Kim, Jonghun Kam

“…Our simulated naturalized data reveal decadal variability in the 1990s and an increase in day-to-day variability of the Geum River in the 2010s compared to those in the 1970s. This dataset provides physically consistent naturalized streamflow data for reference data to evaluate climate change-driven changes in streamflow for the Geum River.…”
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Upper Bound on the Bit Error Probability of Systematic Binary Linear Codes via Their Weight Spectra by Jia Liu, Mingyu Zhang, Chaoyong Wang, Rongjun Chen, Xiaofeng An, Yufei Wang

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Small face detection based on improved YOLOv5s by ZHOU Lifang, HU Zhen, LIU Bo

“…The performance of the enhanced model on the WIDER FACE dataset demonstrated mean average precision improvement of 7.9% over YOLOv5s. …”
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Effect of Fishing Season and Size on the Physicochemical and Microbiological Characteristics of Salted Sardines (Sardina pilchardus) by Charifa Aoua, Bouchra Yacoubi, Abderrahmane Zekhnini

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A quality assessment algorithm for no-reference images based on transfer learning by Yang Yang, Chang Liu, Hui Wu, Dingguo Yu

“…Experimental results on authentically distorted datasets (KonIQ-10k, BIQ2021), synthetically distorted datasets (LIVE, TID2013), and an artificial intelligence (AI)-generated content dataset (AGIQA-1K) show that the proposed IQA-NRTL algorithm significantly improves performance compared to mainstream no-reference IQA algorithms, depending on variations in image content and complexity.…”
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Qualitative and Quantitative Evaluation of Chemical Constituents from Shuanghuanglian Injection Using Nuclear Magnetic Resonance Spectroscopy by Ziyan Wang, Zuoyuan Wang, Miaomiao Jiang, Jing Yang, Qingfen Meng, Jianli Guan, Maoling Xu, Xin Chai

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Traffic Collision Severity Modeling Using Multi-Level Multinomial Logistic Regression Model by Rushdi Alsaleh, Kawal Walia, Ghoncheh Moshiri, Yasmeen T. Alsaleh

“…Drawing from a comprehensive dataset from the Virginia Department of Transportation, encompassing over 500,000 data points, this study utilizes two statistical models. …”
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A deep ensemble learning framework for glioma segmentation and grading prediction by Liang Wen, Hui Sun, Guobiao Liang, Yue Yu

“…Our experimental results on the BraTS dataset demonstrate that our method outperforms state-of-the-art methods, yielding superior segmentation accuracy and precise risk grade prediction.…”
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The Frequency of Langerhans Islets β-Cells Autoantibodies (Anti-GAD) in Georgian Children and Adolescents with Chronic Autoimmune Thyroiditis by Mariam Balakhadze, Elene Giorgadze, Marina Lomidze

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An updated reference genome of Barbatula barbatula (Linnaeus, 1758) by Levente Laczkó, Nikoletta Andrea Nagy, Ágnes Nagy, Ágnes Maroda, Péter Sály

“…We aimed to find microsatellite loci present in both the species’ publicly available genome and the new assembly to aid marker development for downstream analyses. This dataset serves as a reference for genomic analysis and is useful for developing markers to study the species’ biodiversity and support conservation efforts.…”
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Enhancing cybersecurity incident response: AI-driven optimization for strengthened advanced persistent threat detection by Gauhar Ali, Sajid Shah, Mohammed ElAffendi

“…This study proposes six event detection modules to identify 14 different types of malicious behavior using Splunk. The available APT dataset is extended by adding more alert types. Then, the machine learning techniques i.e., Random Forest, and XGBoost, are applied to improve the decision process and reduce the false positive alerts of the Security Information and Event Management system. …”
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Collaboration between HPMC and NaCMC in order to Reach the Polymer Critical Point in Theophylline Hydrophilic Matrices by L. Contreras, L. M. Melgoza, A. Aguilar-de-Leyva, I. Caraballo

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Digital Rebirth of Dongba Pattern: An Improved Active Contour Model for Pattern Contour Extraction by Yuan Li, Tao Wu, Rongbing Fu, En Lu

“…Based on the established Dongba pattern dataset, the qualitative and quantitative analyses are conducted on the proposed method. …”
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Developing Roadway Safety Models for Winter Weather Conditions Using a Feature Selection Algorithm by Bryce Hallmark, Jing Dong

“…In this study, several datasets, including for weather, snowplow operations, and traffic information, were combined to develop a robust crash frequency model for winter weather conditions. …”
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Groundwater Quality of Southeastern Brazzaville, Congo by Matini Laurent, Moutou Joseph Marie

“…Factor analysis and cluster analysis were applied to the dataset. Factor analysis resulted in four factors explained 76.90% of the total groundwater quality variance. …”
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The 5 Alpha-Reductase Isozyme Family: A Review of Basic Biology and Their Role in Human Diseases by Faris Azzouni, Alejandro Godoy, Yun Li, James Mohler

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Extracting knowledge of preventive maintenance using data mining technique in interaction with production within textile industry by Shahram Fatemi

“…In the current research, the dataset for conducting data mining calculations was generated based on a sample with 2,000 data, reports of the general manager of the textile industry of Iran's Ministry of Industry, Mine and Trade (information from 240 industrial units and 630 spinning and weaving units were collected), and textile industry plants in Borujerd as the place for implementing the plan between 2015 and 2019, a period 6 month each year. …”
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Optimizing Financial Data Analysis: A Comparative Study of Preprocessing Techniques for Regression Modeling of Apple Inc.’S Net Income and Stock Prices by Ungar Kevin, Oprean-Stan Camelia

“…This article presents a comprehensive methodology for processing financial datasets of Apple Inc., encompassing quarterly income and daily stock prices, spanning from March 31, 2009, to December 31, 2023. …”
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Signals of inclusion: how faculty demographics impact the use of identity safety cues in undergraduate STEM syllabi by Anthony Coutts, Crystal Brown, Francesca Bernardi

“…Drawing from an original dataset of 163 syllabi from introductory undergraduate courses at Worcester Polytechnic Institute, a STEM-focused institution in the United States of America, we examine how these cues are used by faculty across different fields, gender, and rank. …”
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A power load forecasting method using cosine similarity and a graph convolutional network by JI Shan, JIANG Wei, JING Xin

“…Finally， extensive experiments on a real-world dataset demonstrate the method’s effectiveness and robustness in forecasting both short-term and long-term load series.…”
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