Bias Correction in Monthly Records of Satellite Soil Moisture Using Nonuniform CDFs by Shan Wang, Huiling Shan, Chi Zhang, Yuexing Wang, Chunxiang Shi

“…Instead of processing a whole year of data at once, we divided it into 12 datasets and used three nonuniformly spaced samples to approximate the model data’s CDF for each month. …”
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Long-Term Trends in Marriage Timing and the Impact of Migration, the Netherlands (1650-1899) by Charlotte Störmer, Corry Gellatly, Anita Boele, Tine De Moor

“…We make use of two new large historical datasets, namely an aggregation of Dutch genealogies and the transcribed marriage banns of Amsterdam. …”
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Unsupervised Anomaly Detection in Hyperspectral Imaging: Integrating Tensor Robust Principal Component Analysis With Autoencoding Adversarial Networks by Atsuya Emoto, Ryo Matsuoka

“…Experimental results on benchmark datasets widely used for HS anomaly detection confirm that the proposed method consistently outperforms conventional techniques, achieving superior area-under-the-curve (AUC) scores across diverse and complex scenes. …”
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GATFELPA integrates graph attention networks and enhanced label propagation for robust community detection by Feiyi Tang, Junxian Li, Xi Liu, Chao Chang, Luyao Teng

“…Comparative experiments on four real-world datasets, including large-scale networks like ogbn-arxiv, demonstrate that GATFELPA achieves superior performance across most metrics, particularly excelling in accuracy, robustness, and scalability. …”
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Recent Research Progress on Ground-to-Air Vision-Based Anti-UAV Detection and Tracking Methodologies: A Review by Arowa Yasmeen, Ovidiu Daescu

“…Our study examines recent UAV detection and tracking algorithms, outlining their operational principles, advantages, and disadvantages. Publicly available datasets specifically designed for Anti-UAV research are also thoroughly reviewed, providing insights into their characteristics and suitability. …”
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Online Self-Supervised Learning for Accurate Pick Assembly Operation Optimization by Sergio Valdés, Marco Ojer, Xiao Lin

“…Corrective strategies used to compensate for misalignment can increase cycle times or rely on pre-labeled datasets, offline training, and validation processes, delaying deployment and limiting adaptability in dynamic industrial environments. …”
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Automatic Algorithm for Fractal Plant Art Image Similarity Feature Generation by Zhizhe Liu, Luo Sun

“…Based on different image datasets, the impact of different parameters on the performance of the scheme is tested, and optimized parameters are given. …”
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The advantages of k-visibility: A comparative analysis of several time series clustering algorithms by Sergio Iglesias-Perez, Alberto Partida, Regino Criado

“…To validate the results, we have selected 15 datasets from the prestigious UCR (University of California, Riverside) archive in order to make a homogeneous validation. …”
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Bioinformatic analysis of ferroptosis related biomarkers and potential therapeutic targets in vitiligo by Linli Liu, Lingli Deng, Li Guan, Yuan Hu, Qianying Li, Chunshui Yu

“…To elucidate the role of ferroptosis-related genes (FRGs) in vitiligo, we conducted a comprehensive analysis of gene expression data from the GSE53146 and GSE65127 datasets obtained from the GEO database. We identified 31 differentially expressed FRGs (DE-FRGs), with 21 genes upregulated and 10 downregulated. …”
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Assessing Institutional Performance Using Machine Learning Algorithms by zainabalwan anwer, Ahmad Abdalrada, Ihtiram Raza Khan

“…Additionally, features were carefully managed by utilizing both unigram and bigram models. Using datasets from (Facebook pages belonging to the Iraqi Ministry of Justice), a thorough experimental investigation was conducted. …”
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Manet: motion-aware network for video action recognition by Xiaoyang Li, Wenzhu Yang, Kanglin Wang, Tiebiao Wang, Chen Zhang

“…We conducted extensive experiments on five mainstream datasets, Something-Something V1 & V2, Jester, Diving48, and UCF-101, to validate the effectiveness of MANet. …”
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Verification of ERA5 Hourly Air Temperature Data over Turkey by Meriç Yılmaz

“…Accordingly, the results obtained in this study suggest that ERA5 datasets can be reliably used in various applications in Turkey, especially focusing on regions with sparse meteorological station networks.…”
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AReLU: Agile Rectified Linear Unit for Improving Lightweight Convolutional Neural Networks by Fu Chen, Yepeng Guan

“…Extensive experiments on different datasets and lightweight convolutional neural network architectures demonstrate the superiority and generality of AReLU. …”
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A novel graph convolution and frequency domain filtering approach for hyperspectral anomaly detection by Yang Ding, Hao Yan, Jingyuan He, Juanjuan Yin, A. Ruhan

“…Experimental evaluations on four benchmark datasets show that the proposed method achieves outstanding performance with AUC scores of 0.9986, 0.9975, 0.9859, and 0.9988, significantly outperforming traditional and state-of-the-art anomaly detection techniques.…”
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Deep Learning-Enabled Variational Optimization Method for Image Dehazing in Maritime Intelligent Transportation Systems by Xianjun Hu, Jing Wang, Chunlei Zhang, Yishuo Tong

“…Numerous experiments on both synthetic and realistic datasets have been performed to compare our method with several state-of-the-art dehazing methods. …”
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Rough-Set-Based Real-Time Interest Label Extraction over Large-Scale Social Networks by Xiaoling Huang, Lei Li, Hao Wang, Chengxiang Hu, Xiaohan Xu, Changlin Wu

“…Empirically, we evaluate RS_UNITE_SS over real-world datasets, and experimental results demonstrate that our proposed approach is more computationally efficient than existing methods while achieving higher precision value and MRR value.…”
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Machines’ Intelligent Fault Diagnosis Based on Hierarchical Refined Composite Generalized Multiscale Fluctuation Dispersion Entropy by Biwen Chen, Changsheng Chen, Zhenlai Ma, Guoping Li, Yi Zhang, Baoyue Li

“…Finally, the effectiveness of the proposed method is validated using three typical mechanical datasets. Results confirm the method’s capability to effectively determine the fault states of bearings, gearboxes, and centrifugal pumps, showcasing significant advantages over comparative methods.…”
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Deep learning in defects detection of PV modules: A review by Katleho Masita, Ali Hasan, Thokozani Shongwe, Hasan Abu Hilal

“…Despite achieving high accuracy, challenges such as the need for large datasets and model generalization across different PV modules and environmental conditions remain. …”
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A novel feature extraction method based on dynamic handwriting for Parkinson's disease detection. by Huimin Lu, Guolian Qi, Dalong Wu, Chenglin Lin, Songzhe Ma, Yingqi Shi, Han Xue

“…Self-constructed and public datasets are used to verify the proposed method's effectiveness respectively. …”
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A Data-Driven Method for Predicting the Cutterhead Torque of EPB Shield Machine by Kairong Hong, Fengyuan Li, Zhenjian Zhou, Feng Li, Xunlin Zhu

“…Using the change point detection method based on linear regression, the separation points between start-up stage and stationary driving stage are identified from the original construction data, and the datasets of the two stages are extracted, respectively. …”
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