Application of data twinning based on deep time series model in smart city traffic flow prediction by Li Gao

“…The system construction starts from physical layer data acquisition, deals with missing data through smoothing and interpolation, and applies the GM(1,1) model to construct a digital twin layer for preliminary prediction. …”
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Short-Term Power Prediction Method for Photovoltaic Power Plants Based on ECA-MTGNN Integration by HUANG Congzhi, LIU Yantong

“…Moreover, it exhibited a superior ability to fit actual power curves.…”
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Reconstruction of shrimp catches in Brazil based on generalized linear models by Matheus Lourenço Soares Silva, Humber Agrelli Andrade

“…Accordingly, reconstructions can be an alternative to restore outdated or missing information and help judge the reliability of official data. …”
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Revisiting the role of Akkermansia muciniphila as a therapeutic bacterium by Jiyeon Si, Hyena Kang, Hyun Ju You, GwangPyo Ko

“…The best-known effects of A. muciniphila in human health and disease relate to its ability to strengthen gut integrity, modulate insulin resistance, and protect the host from metabolic inflammation. …”
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Modeling the extra pass in basketball – an assessment of one of the most crucial skills for creating great ball movement by Supola Bence, Hoch Thomas, Baca Arnold

“…However, judging this ability is subjective, even a precise definition is missing. …”
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Prediction of Customer Switching Using Support Vector Machine Method by Abu Tholib, Selfia Hafidatus Sholeha, Qurrotu Aini

“…SVM stands out for its ability to take input data and make predictions based on its characteristics. …”
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Application of machine learning for seam profile identification in robotic welding by Fatemeh Habibkhah, Mehrdad Moallem

“…The LOF algorithm was chosen for its ability to detect spatial anomalies, ensuring the exclusion of erroneous data that could compromise welding precision. …”
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Masked Convolutions Within Skip Connections for Video Anomaly Detection by Demetris Lappas, Vasileios Argyriou, Dimitrios Makris

“…By incorporating these layers into the skip connections of the UNet, the model gains the ability to infer missing information in the temporal domain based on the surrounding context. …”
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Inactivation of the CMAH gene and deficiency of Neu5Gc play a role in human brain evolution by Yuxin Liu, Jinhong Li, Qicai Liu

“…Abstract During human evolution, some genes were lost or silenced from the genome of hominins. These missing genes might be the key to the evolution of humans’ unique cognitive skills. …”
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Dental Health Literacy among Highly Skilled Professionals in India: A Pilot Study by Harsh Priya, Ramya Shenoy, Mithun Pai, Dimple Rani Bangera, Ashwini Rao, Rajesh G Rao

“…Participants who had decayed, missing, or filled teeth, or a DMFT score higher than one, exhibited lower oral health literacy compared to the reference group. …”
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Enhancing early gestational diabetes mellitus prediction with imputation-based machine learning framework: A comparative study on real-world clinical records by Leyao Ma, Lin Yang, Yaxin Wang, Jie Hao, Yini Li, Liangkun Ma, Ziyang Wang, Ye Li, Suhan Zhang, Mingyue Hu, Jiao Li, Yin Sun

“…The evaluation encompassed downstream predictive performance, robustness to variable missingness, ability to restore original data distribution, and influence on feature selection based on 10-fold cross-validation. …”
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A deep learning model for detecting and classifying multiple marine mammal species from passive acoustic data by Quentin Hamard, Minh-Tan Pham, Dorian Cazau, Karine Heerah

“…Several model parameters can be adjusted to trade off missed detections and false positives which need to be carefully considered and adapted to the problem. …”
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Pretraining-improved Spatiotemporal graph network for the generalization performance enhancement of traffic forecasting by Xiangyue Zhang, Chao Li, Ling Ji, Yuyun Kang, Mingming Pan, Zhuo Liu, Qiang Qi

“…Experiments conducted on three real-world traffic datasets demonstrate that the proposed pre-training method significantly enhances the model’s ability to handle long-term dependencies, missing data, and high computational costs, providing a more efficient solution for traffic prediction.…”
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Unpacking the Mood States of Children and Youth in Saskatchewan, Canada, in the Context of the COVID-19 Pandemic: Insights from the “See Us, Hear Us 2.0” Study by Nahin Shakurun, Tamara Hinz, Daniel A. Adeyinka, Nazeem Muhajarine

“…Independent variables included sociodemographics, behaviors, household conditions, and coping ability. Multiple linear regression and mediation analyses were conducted, ensuring sample representativeness with sampling weights and addressing missing data through multiple imputations. …”
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Triglycerides/high-density lipoprotein-cholesterol ratio outperforms traditional lipid indicators in predicting metabolic dysfunction-associated steatotic liver disease among U.S.... by Jin Yuan, Xuequan He, Yan Lu, Xuehua Pu, Lihe Liu, Xuejun Zhang, Jinping Liao, Guiling Li, Ying Luo, Tianwu Zhang

“…Sensitivity analysis was carried out using multiple imputation for missing data and subgroup stratification to validate the findings.ResultsTG, HDL-c, and TG/HDL-c ratio were significantly associated with MASLD (p < 0.05 for all). …”
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Low-light image enhancement method for underground mines based on an improved Zero-DCE model by WANG Yiwei, LI Xiaoyu, WENG Zhi, BAI Fengshan

“…Underground coal mine surveillance images suffer from noise, low clarity, missing color, and texture information. Additionally, machine learning-based image enhancement methods face challenges in collecting paired low-light and normal-light image datasets. …”
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Neuromorphic compliant control facilitates human-prosthetic performance for hand grasp functions by Anran Xie, Zhuozhi Zhang, Jie Zhang, Weidong Chen, James Patton, Ning Lan

“…Current bionic hands lack the ability of fine force manipulation for grasping fragile objects due to missing human neuromuscular compliance in control. …”
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GLR: Graph Chain-of-Thought with LoRA Fine-Tuning and Confidence Ranking for Knowledge Graph Completion by Yifei Chen, Xuliang Duan, Yan Guo

“…In knowledge graph construction, missing facts often lead to incomplete structures, thereby limiting the performance of downstream applications. …”
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Predicting the subclinical carotid atherosclerosis in overweight and obese patients using a machine learning model by D. V. Gavrilov, T. Yu. Kuznetsova, M. A. Druzhilov, I. N. Korsakov, A. V. Gusev

“…To improve the model performance, the fill missing function was used. The target parameters of the model were given a predictive ability (accuracy) of at least 75%, while the area under the ROC curve was at least 0,75.Results. …”
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Investigating and Optimizing MINDWALC Node Classification to Extract Interpretable Decision Trees from Knowledge Graphs by Maximilian Legnar, Joern-Helge Heinrich Siemoneit, Gilles Vandewiele, Jürgen Hesser, Zoran Popovic, Stefan Porubsky, Cleo-Aron Weis

“…This work deals with the investigation and optimization of the MINDWALC node classification algorithm with a focus on its ability to learn human-interpretable decision trees from knowledge graph databases. …”
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