Unmanned aerial vehicle image detection of maize-YOLOv8n seedling leakage by Jiaxin Gao, Feng Tan, Jiapeng Cui, Zhaolong Hou

“…In addition, a linear regression equation was developed to predict the total number of missing seedlings, with model performance evaluated using the root mean squared error (RMSE) and mean absolute error (MAE) metrics.DiscussionThe results confirm the ability of the model to accurately detect maize seedling gaps. …”
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Splitting and Merging for Active Contours: Plug-and-Play by Mojtaba Lashgari, Abhirup Banerjee, Hossein Rabbani

“…For this purpose, first, the coordinates of snake points are separated into two corrupted 1D signals, with missing X/Y samples in the signals representing missing snakes’ coordinates. …”
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Computer Multimedia Art Pattern Creation Based on P-Filling Algorithm by Wenli Lian

“…It undertakes the important responsibility of cultivating students' aesthetic ability, art appreciation ability, art perception ability, and expression ability. …”
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Visual discrimination and amodal completion in zebrafish. by Valeria Anna Sovrano, Sofia Vicidomini, Davide Potrich, Maria Elena Miletto Petrazzini, Greta Baratti, Orsola Rosa-Salva

“…Using this task, we investigated zebrafish ability to discriminate between two different shape pairs (i.e., disk vs. cross and full vs. amputated disk). …”
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Dark personalities in the digital arena: how psychopathy and narcissism shape online political participation by Saifuddin Ahmed, Muhammad Masood

“…Abstract This cross-national study investigates how psychopathy, narcissism, and fear of missing out (FoMO) influence online political participation, and how cognitive ability moderates these associations. …”
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Stem Cells in Dentistry: Types of Intra- and Extraoral Tissue-Derived Stem Cells and Clinical Applications by Ana Gomes Paz, Hassan Maghaireh, Francesco Guido Mangano

“…The development of bioengineered teeth to replace the patient’s missing teeth was also possible because of stem cell technologies. …”
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HarmonizR: blocking and singular feature data adjustment improve runtime efficiency and data preservation by Simon Schlumbohm, Julia E. Neumann, Philipp Neumann

“…An additionally welcome update regarding improved feature rescue furthermore enhances the algorithms ability to quickly and robustly perform batch effect reduction.…”
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Improving TIGGE Precipitation Forecasts Using an SVR Ensemble Approach in the Huaihe River Basin by Chenkai Cai, Jianqun Wang, Zhijia Li

“…Although the ensemble methods can improve the performance of rainfall forecasts, the missing alarm error is still large, leading to a huge hazard in flood control. …”
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Soft label collaborative view consistency enhancement with application to incomplete multi-view clustering. by Jie Zhang, Jiali Tang

“…However, most existing IMVC methods usually suffer from several significant challenges: (1) Inaccurate imputation or padding of missing data degrades clustering performance; (2) The ability to extract view features may decrease due to low-quality views, especially those that are inaccurately imputed. …”
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A systematic review of machine learning applications in predicting opioid associated adverse events by Carlos R. Ramírez Medina, Jose Benitez-Aurioles, David A. Jenkins, Meghna Jani

“…Abstract Machine learning has increasingly been applied to predict opioid-related harms due to its ability to handle complex interactions and generating actionable predictions. …”
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Positionally restricted masked knowledge graph completion via multi-head mutual attention by Qiang Yu, Liang Bao, Peng Nie, Lei Zuo

“…We introduce a multi-head mutual attention mechanism that aggregates neighbor information more effectively, improving the model's ability to predict missing links. Experimental results demonstrate that PR-MKGC outperforms existing models in terms of both predictive performance and inference time on the FB15K-237 dataset.…”
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Time series AQI forecasting using Kalman-integrated Bi-GRU and Chi-square divergence optimization by Narmeen Fatima, Samia Nawaz Yousafzai, Nadhem Nemri, Hadeel Alsolai, Shouki A. Ebad, Shaymaa Sorour, Yeonghyeon Gu, Muhammad Syafrudin, Norma Latif Fitriyani

“…Existing AQI prediction models often falter due to missing data, high variability, and limited ability to handle distributional uncertainty. …”
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A flexible framework for local-level estimation of the effective reproductive number in geographic regions with sparse data by Md Sakhawat Hossain, Ravi Goyal, Natasha K. Martin, Victor DeGruttola, Mohammad Mihrab Chowdhury, Christopher McMahan, Lior Rennert

“…Methods To overcome this challenge, we propose a two-step approach that incorporates existing $$\:{R}_{t}$$ estimation procedures (EpiEstim, EpiFilter, EpiNow2) using data from geographic regions with sufficient data (step 1), into a covariate-adjusted Bayesian Integrated Nested Laplace Approximation (INLA) spatial model to predict $$\:{R}_{t}$$ in regions with sparse or missing data (step 2). Our flexible framework effectively allows us to implement any existing estimation procedure for $$\:{R}_{t}$$ in regions with coarse or entirely missing data. …”
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Dynamic Bayesian Networks, Elicitation, and Data Embedding for Secure Environments by Kieran Drury, Jim Q. Smith

“…We then show, for the first time, how <i>libraries</i> of these models can be built and used for real-time decision support to circumvent the challenges of data missingness seen in such a secure environment through the ability to match ongoing plots to existing models within the library.The parallel development described by this protocol ensures that any sensitive information collected by police and missing to academics remains secured behind a firewall. …”
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A Method for Solid Axle Flaw Inspection Based on Axle End Coupling by Phased Array Ultrasonic Technology by LIU Zhiyong, PENG Chaoyong

“…The method had some advantages such as better coverage, high inspection efficiency, strong inspection ability and stable inspection effect, which could replace the existing manual inspection process for solid axle.…”
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Integrated Intelligent System for Rail Flaw Detection Vehicle by Xiangyang ZHANG, Jiangping LUO

“…In order to improve the detection ability of rail surface and near surface damage, the research on rail surface image detection technology was carried out. …”
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Development and laboratory evaluation of a novel IoT-based electric-driven metering system for high precision garlic planter. by Abdallah Elshawadfy Elwakeel, Ahmed Elbeltagi, Ahmed Z Dewidar, Ali Salem, Mohamed Anwer Abdeen

“…The developed EDMS and GSMCS are technical manuals for developing and designing monitoring systems capable of precisely measuring and identifying the rates of qualifying and missing garlic seed measurements.…”
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Leveraging machine learning to extract insights and spatial patterns from hydrogeochemical datasets for major groundwater regions in the UAE by Khalid ElHaj, Dalal Alshamsi, Balqees Alblooshi, Fatima Haile, Shamma AlRashdi, Basant Elabyad

“…Machine learning (ML) techniques were employed to impute the missing chloride and sulfate concentrations for any missing samples. …”
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A Data Imputation Strategy to Enhance Online Game Churn Prediction, Considering Non-Login Periods by JaeHong Lee, Pavinee Rerkjirattikal, SangGyu Nam

“…MICE was selected due to its ability to impute missing values more robustly by considering multivariate relationships. …”
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Research on Wood Defects Feature Imbalance Optimization and Recognition by Xiao Wang

“…An overall accuracy increase of 6.6% is achieved, the accuracy on live knot has an increase of 17%, and the missing rate of defects is decreased by 15%. Besides, generalization ability test indicates that new methods allow the classifier to have comparable accuracies on five additional datasets. …”
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