Tools to refine unknown parent group definitions by A. Legarra, I. Aguilar

“…Computations are feasible even for very large datasets. We illustrate with 2 examples from all-breed US traditional BLUP evaluation for yield and health traits. …”
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Ensemble graph auto-encoders for clustering and link prediction by Chengxin Xie, Jingui Huang, Yongjiang Shi, Hui Pang, Liting Gao, Xiumei Wen

“…The model’s performance is evaluated using three publicly available datasets (Cora, Citeseer, and PubMed), indicating its effectiveness through multiple experiments. …”
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An Open-source Python Tool for Traction Force Microscopy on Micropatterned Substrates by Artur Ruppel, Vladimir Misiak, Martial Balland

“…As such, they enable the generation of rich datasets, which can provide valuable insights into the roles of cell-generated forces in various physiological and pathological processes.…”
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2DUMAP: Two-Dimensional Uniform Manifold Approximation and Projection for Fault Diagnosis by Benchao Li, Yuanyuan Zheng, Ruisheng Ran

“…This study conducts fault diagnosis experiments on 7 datasets of bearings and gears to comprehensively evaluate the proposed methods. …”
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An Adaptive View Selection Algorithm for Large-scale Cone-Beam CT Reconstruction by Jingsong Lin, Singanallur Venkatakrishnan, Obaidullah Rahman, Gregery T. Buzzard, Amirkoushyar Ziabari, Charles A. Bouman

“…Through simulations and measured datasets, we demonstrate that our algorithm produces higher quality reconstructions, particularly in preserving sharp edges, while requiring fewer measurements compared to the traditional method. …”
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Targeted Advertising in Social Media Platforms Using Hybrid Convolutional Learning Method besides Efficient Feature Weights by Seyed Mohsen Ebadi Jokandan, Peyman Bayat, Mehdi Farrokhbakht Foumani

“…According to the findings, hashtag, brand ID, movie title, and actors achieve the highest scores, and the values for actual training time in various data ratios are relatively linear, which confirms the scalability of the proposed model for large datasets. The results also demonstrate that our proposed method outperforms others and can lead to targeted ads on social media.…”
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Integrating principal component analysis, fuzzy inference systems, and advanced neural networks for enhanced estuarine water quality assessment by Richard O. Usang, Bamidele I. Olu-Owolabi, Kayode O. Adebowale

“…The study employs SHAP (SHapley Additive exPlanations) analysis to interpret the contributions of individual water quality parameters to model predictions, addressing the challenge of handling large and complex datasets from water quality monitoring programs and aiming to provide robust predictions and insights into water quality dynamics. …”
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Transboundary Impacts of NO₂ on Soil Nitrogen Fixation and Their Effects on Crop Yields in China by Jinhui Xie, Peiheng Yu, Xiangzheng Deng

“…This study combines 15 global datasets to assess nitrogen’s transboundary impacts on crop yields and soil health. …”
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Identification and Validation of a Novel Immune Infiltration-Based Diagnostic Score for Early Detection of Hepatocellular Carcinoma by Machine-Learning Strategies by Xuli Guo, Hailin Xiong, Shaoting Dong, Xiaobing Wei

“…Five gene expression datasets were obtained through Gene Expression Omnibus (GEO) portal. …”
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Attention-Guided Shared Hybrid Network for Enhanced Land Cover Segmentation by Yinbing Jiang, Linfeng Shi, Xinyu Fan

“…Extensive experiments conducted on benchmark land cover datasets, including WHDLD, GID-15, and L8SPARCS, demonstrate that AGSHN significantly outperforms existing state-of-the-art methods in segmentation accuracy.…”
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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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A Multi-Agent Approach to Modeling Task-Oriented Dialog Policy Learning by Songfeng Liang, Kai Xu, Zhurong Dong

“…Experiments were conducted on two distinct task-oriented dialogue datasets, revealing that the proposed multi-agent model exhibits a significantly faster learning speed and a higher dialogue success rate compared to baseline approaches.…”
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Overweight and obesity trends and associated factors among reproductive women in Ethiopia by Ermias Tadesse Beyene, Seungman Cha, Yan Jin

“…Methods We used three consecutive datasets from 2005 (n = 14070), 2011 (n = 16515), and 2016 (n = 15683) demographic health survey years. …”
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STGLR: A Spacecraft Anomaly Detection Method Based on Spatio-Temporal Graph Learning by Yi Lai, Ye Zhu, Li Li, Qing Lan, Yizheng Zuo

“…To validate the effectiveness of the proposed method, experiments were conducted on two public spacecraft datasets, and the results demonstrate that the performance of the STGLR method surpasses existing anomaly detection methods, with an average F1 score exceeding 0.97.…”
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Improved feature reduction framework for sign language recognition using autoencoders and adaptive Grey Wolf Optimization by Rajeev Goel, Sandhya Bansal, Kavita Gupta

“…Exhaustive experimentations were conducted on six different datasets namely ASL, ASL MNIST, ISL, ArSL, MNIST Digits, and IEEE-ISL containing gestures of different languages to demonstrate the performance of AEGWO-Net. …”
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Pan-Cancer Analysis of B4GALNT1 as a Potential Prognostic and Immunological Biomarker by Hang Yi, Yiwen Lin, Yutong Li, Yeqi Guo, Ligong Yuan, Yousheng Mao

“…Methods including correlation analysis, Cox regression analysis, and Kaplan-Meier analysis were used to explore the expression pattern, prognosis, tumor infiltration pattern, genetics and epigenetics, and drug sensitivity of B4GALNT1 in pan-cancer patients from the above datasets. Results. B4GALNT1 was found to be aberrantly expressed in multiple types of tumors. …”
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Measurement of inferior colliculus volume based on MRI image stacks and its relationship with age and hearing status. by Pingling Kwok, Otto Gleich, Peter Koch, Gudrun Schenkl, Nina Koch, Christopher Bohr

“…A retrospective search in the data of the Regensburg ENT department was done. 123 MRI datasets were used to mark the voxels of the inferior colliculus on the MRI layers. …”
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Distributed Compressed Hyperspectral Sensing Imaging Incorporated Spectral Unmixing and Learning by Hua Xiao, Zhongliang Wang, Xueying Cui, Liping Wang, Hongsheng Yang, Yingbiao Jia

“…Extensive experimental results on five real hyperspectral datasets demonstrate that the proposed spectral library learning, abundance initialization, and reconstruction strategy can effectively improve the compressed sensing reconstruction accuracy, outperforming the existing state-of-the-art methods.…”
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Spatial Analysis of Maritime Disasters in the Philippines: Distribution Patterns and Identification of High-Risk Areas by Glenn D. Aguilar, Yasmin P. Tirol, Ryan M. Basina, Jamaica Alcedo

“…Model performance metrics including the AUC, TSS and Kappa were used to compare the two datasets and provide confidence on model robustness. …”
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Revolutionizing Education: Harnessing Graph Machine Learning for Enhanced Problem-Solving in Environmental Science and Pollution Technology by R. Krishna Kumari

“…GML emerges as a potent and indispensable tool, adeptly leveraging the intrinsic interconnectedness embedded within environmental datasets. Its application extends far beyond mere analysis towards the profound ability to forecast ecological patterns, prescribe sustainable interventions, and tailor pollution mitigation strategies with precision and efficacy. …”
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