A Novel Approach of Label Construction for Predicting Remaining Useful Life of Machinery by Hailong Lin, Zihao Lei, Guangrui Wen, Xiaojun Tian, Xin Huang, Jinsong Liu, Haoxuan Zhou, Xuefeng Chen

“…In order to verify the effectiveness of the proposed approach, two different bearing lifecycle datasets are gathered and analyzed. The analysis result confirms that the proposed method is able to achieve a better performance, which outperforms some existing methods.…”
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Innovative Technologies for Studying the Impact of Climate Change on River Basins in the Guba-Khachmaz Region of Azerbaijan by Huseynova Gumru, Valiyeva Asmar, Tahmezli Elvira, Surkhayli Sanan, Tahmezli Matanat

“…The study further shows that online approaches such as GEE combined with remote sensing datasets are useful for monitoring climate change impacts, especially in semi-arid and arid regions, to model dynamic climate changes. …”
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Data Checking of Asymmetric Catalysis Literature Using a Graph Neural Network Approach by Eduardo Aguilar-Bejarano, Viraj Deorukhkar, Simon Woodward

“…Our results demonstrate that this methodology is useful for curation of medium-sized databases, speeding this process significantly compared to complete manual curation/checking. In the datasets investigated, human expert checking was reduced to 2.2% and 3.5% of the total data exemplars.…”
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Evaluating the accuracy (precision and trueness) of conventional and digital Intraoral Impression Technique. by Lana Shwan Jalal, Dara Hamarashid Saeed

“…To determine the trueness of preparations and the accuracy of a complete arch, by using 3D analysis software, all datasets were superimposed. To compare the two-model group's accuracy and assess the trueness of the two preparation methods, a test of Mann-Whitney U was utilized. …”
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A Novel Ensemble Meta-Model for Enhanced Retinal Blood Vessel Segmentation Using Deep Learning Architectures by Mohamed Chetoui, Moulay A. Akhloufi

“…The models are trained on the DRIVE and STARE datasets to improve the degree of generalization and evaluated using the performance metric accuracy, F1-Score, sensitivity, specificity, and AUC. …”
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Combination of Artificial Neural Network and Particle Swarm Intelligence Algorithm for Diagnosing Diabetes by Cillian Thompson, Oscar Higgins

“…Data mining is an appropriate approach for uncovering information and hidden patterns within extensive datasets that are not readily detectable through conventional methodologies. …”
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A Comprehensive Methodological Review of Major Developments in Bioinformatics Pipelines for Transcriptomic Data Analysis by Awais ALi, Syed Luqman Ali, Abdelkarem Omneya

“…While many computational tools exist for analyzing large RNA-Seq datasets, there is still a need to thoroughly compare methods used to separate mixed cell populations (deconvolution). …”
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MONet: cancer driver gene identification algorithm based on integrated analysis of multi-omics data and network models by Yingzan Ren, Tiantian Zhang, Jian Liu, Fubin Ma, Jiaxin Chen, Ponian Li, Guodong Xiao, Chuanqi Sun, Yusen Zhang

“…When applied to pan-cancer datasets, MONet demonstrated robustness across various PPI networks, outperforming baseline models in terms of both the area under the receiver operating characteristic curve and the area under the precision-recall curve. …”
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Chord Types and Figuration: A Bayesian Learning Model of Extended Chord Profiles by Christoph Finkensiep, Petter Ericson, Sebasian Klassmann, Martin Rohrmeier

“…This model is trained on two datasets using Bayesian variational inference, comprising scores of Western classical and popular music, respectively, and containing harmonic annotations as well as heuristically determined note-type labels. …”
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On improving interoperability for cross‐domain multi‐finger fingerprint matching using coupled adversarial learning by Md Mahedi Hasan, Nasser Nasrabadi, Jeremy Dawson

“…Experiments on four challenging datasets demonstrate that our proposed model outperforms state‐of‐the methods and two top‐performing commercial‐off‐the‐shelf SDKs, that is, Verifinger v12.0 and Innovatrics. …”
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The Potential Impact of HNRNPA2B1 on Human Cancers Prognosis and Immune Microenvironment by Tao Huang, Gang Zhu, Fan Chen

“…Therefore, we conducted a pan-cancer analysis of HNRNPA2B1 using TCGA data. Based on datasets from TCGA, TARGET, Genotype-Tissue Expression, and Human Protein Atlas, we employed a range of bioinformatics approaches to explore the potential oncogenic role of HNRNPA2B1. …”
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Multi-scale sparse convolution and point convolution adaptive fusion point cloud semantic segmentation method by Yuxuan Bi, Peng Liu, Tianyi Zhang, Jialin Shi, Caixia Wang

“…Experimental comparisons and ablation studies conducted on the SemanticKITTI and nuScenes datasets validate the generality and effectiveness of the proposed approach. …”
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Cross-Modal Collaboration and Robust Feature Classifier for Open-Vocabulary 3D Object Detection by Hengsong Liu, Tongle Duan

“…Our method achieves state-of-the-art performance on various scenarios and datasets.…”
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Risk Prediction Using Genome-Wide Association Studies on Type 2 Diabetes by Sungkyoung Choi, Sunghwan Bae, Taesung Park

“…We assessed the risk prediction performance using area under the receiver operating characteristic curve (AUC) for the internal and external validation datasets. In the internal validation, SLR-LASSO and SLR-EN tended to yield more accurate predictions than other combinations. …”
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Estimating Network Flowing over Edges by Recursive Network Embedding by Liqun Yu, Hongqi Wang, Haoran Mo

“…We perform experiments based on the datasets of some network data, including the transportation network and innovation. …”
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Photoplethysmography Biometric Recognition Model Based on Sparse Softmax Vector and k-Nearest Neighbor by Junfeng Yang, Yuwen Huang, Fuxian Huang, Gongping Yang

“…Extensive experiments were conducted on three PPG datasets, and it was found that the proposed method can achieve a recognition rate of 99.95%, 97.21%, and 99.92% on the respective sets. …”
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A New Attack Recovery Approach and <italic>H</italic>&#x221E; Performance Analysis for LFC Systems With FDI Attacks and Uncertainties by Xuxia He, Ruimei Zhang, Puying Wang

“…The <inline-formula> <tex-math notation="LaTeX">$H_{\infty } $ </tex-math></inline-formula> performance of LFC systems with uncertainties and FDI attacks is analyzed. Finally, two datasets are generated for validating the effectiveness of the proposed attack recovery model and the analysis of <inline-formula> <tex-math notation="LaTeX">$H_{\infty } $ </tex-math></inline-formula> performance.…”
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Identification of genes involved in energy metabolism in preeclampsia and discovery of early biomarkers by Ruohua Li, Cuixia Zhou, Kejun Ye, Haihui Chen, Mengjia Peng

“…This study investigates the role of energy metabolism-associated genes in preeclampsia development and identifies potential early diagnostic biomarkers.MethodsPreeclampsia datasets from Gene Expression Omnibus were analyzed for batch correction, normalization, and differential expression. …”
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Analysis of Climate Change Affecting German Forests by Combination of Meteorological and Phenological Data within a GIS Environment by Winfried Schröder, Roland Pesch, Gunther Schmidt, Cordula Englert

“…An assessment of variations in air temperature and plant phenology was carried out at the country level by using two German datasets regarding spring phenological phases of 15 plant species and air temperature. …”
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IEDSFAN: information enhancement and dynamic-static fusion attention network for traffic flow forecasting by Lianfei Yu, Ziling Wang, Wenxi Yang, Zhijian Qu, Chongguang Ren

“…We conducted extensive experiments on five real-world traffic datasets, and the experimental results show that the performance of IEDSFAN is significantly better than all baselines.…”
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