Development of gross motor skills in children under the age of 3 years: a decision tree approach by Yuxiang Xiong, Xuhuai Hu, Jindan Cao, Li Shang, Yibei Yao, Ben Niu, Ben Niu

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A family of estimators for variance estimation by Housila P. Singh, Sanam Preet Kour, Sunil Kumar, Rakesh Chib

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Designing a hybrid stack ensemble model to enhance sepsis classification using data triangulation approach by Safiya Parvin A․, Saleena B․

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Moderate static magnetic fields prevent estrogen deficiency-induced bone loss: Evidence from ovariectomized mouse model and small sample size randomized controlled clinical trial. by Shenghang Wang, Jiancheng Yang, Yunpeng Wei, Chao Cai, Shuai Chen, Youde Wu, Xiao Li, Lilei Sun, Xianglin Li, Ming Gong, Jianhua Zhou, Yawei Hu, Wang Zhang, Zengfeng Guo, Jiacheng Liao, Chunling Luo, Xiaosu Bai, Xinle Luo, Liming Duan, Ting Huyan, Zhouqi Yang, Min Wei, Yanwen Fang, Hao Zhang, Peng Shang

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Versatility Evaluation of Landslide Risk with Window Sizes and Sampling Techniques Based on Deep Learning by Fudong Ren, Koichi Isobe

“…By experimenting with CNN input window sizes ranging from 3 × 3 to 27 × 27 pixels and employing diverse sampling techniques, we demonstrate that larger windows enhance the model’s predictive accuracy by capturing a wider range of environmental interactions critical for effective landslide modeling. …”
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A PRELIMINARY STUDY OF SENTIMENT ANALYSIS ON COVID-19 NEWS: LESSON LEARNED FROM DATA ACQUISITION, PRE-PROCESSING, AND DESCRIPTIVE ANALYTICS by Rahmatin Nur Amalia, Kusman Sadik, Khairil Anwar Notodiputro

“…In order to select the representative news, two-step sampling was employed by using stratified and systematic random sampling. …”
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On the Equivalence Test and Sample Size Procedures for Simple Linear Regressions with Applications to ANCOVA and Moderation Analysis by Gwowen Shieh

“…The equivalence tests can help assess the negligible trends and similar responses in a single regression line and evaluate the unimportant interaction-moderation effects and comparable simple effects between two linear regression lines. Exact power and sample size formulas are also derived for design planning, and the proposed procedures have the distinct property of accommodating the random properties of both the response and predictor variables. …”
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Leverage Sampling Methods and Deep Neural Networks for Fuzzer CAN Bus Message Detection by Thi-Thu-Huong Le, Yeonjeong Hwang, Junyoung Son, Howon Kim

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Insights from Optimized Non-Landslide Sampling and SHAP Explainability for Landslide Susceptibility Prediction by Mengyuan Li, Hongling Tian

“…Results show that LCF-based correction achieved the highest performance, while a 1:5 ratio proved optimal in random sampling, aligning with regional characteristics. …”
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Evaluating Sampling Designs to Survey Fish Diversity in Lakes From Northern Temperate Zones by Erik García‐Machado, Eric Normandeau, Guillaume Côté, Isabeau Caza‐Allard, Charles Babin, Louis Bernatchez

“…However, we found that, under certain circumstances, stratified sampling outperformed random sampling, requiring lower numbers of samples to detect the same species diversity. …”
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Difference-Cum-Exponential-type estimators for estimation of finite population mean in survey sampling. by Maria Javed, Muhammad Irfan, Sandile C Shongwe, Muhammad Ali Hussain, Mutum Zico Meetei

“…In this article, difference-cum-exponential-type estimators for population mean utilizing bivariate auxiliary information based on non-conventional measures under simple and stratified random sampling schemes have been suggested. Mathematical properties such as bias and mean squared error are derived. …”
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Improved EWMA and CUSUM Charts Under Modified Successive Sampling for Monitoring Process Dispersion by Tahir Mahmood, Mehvish Hyder, Syed Muhammad Muslim Raza

“…Although quality evaluation samples are typically obtained via simple random sampling (SRS), the modified successive sampling (MSS) method is favored to reduce sampling duration and expenses. …”
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Multiclass Classification of Solar Flares in Imbalanced Data Using Ensemble Learning and Sampling Methods by Haodi Jiang, Ryoma Matsuura, Jason T. L. Wang

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Comparison of Three Sampling Methods for Estimating Grasshopper (Orthoptera, Acrididea) Assemblages in African Rainforests by Charly Oumarou Ngoute, Philène C. A. Um Nyobe, Sévilor Kekeunou, Michel Lecoq

“…This study presents the comparative assessment of three sampling methods for estimating grasshopper assemblages in African rainforests: 30 min of random net sweeping, 1 m2 open quadrat sampling, and pitfall trapping. …”
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CLASS IMBALANCE PROBLEM IN ANTI-FRAUD PROBLEM: METRICS, SAMPLING AND CONVOLUTIONAL NEURAL NETWORKS by Ruslan Ch. Bobonazarov

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Efficient sampling designs to assess biodiversity spatial autocorrelation: should we go fractal? by Laroche, Fabien

“…Mixing random sampling points and systematic grid (‘hybrid’ designs) is a classic solution to make a trade-off. …”
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Forest Change Monitoring Based on Block Instance Sampling and Homomorphic Hypothesis Margin Evaluation by Wei Feng, Fan Bu, Puxia Wu, Gabriel Dauphin, Yinghui Quan, Mengdao Xing

“…While remote sensing image classification offers substantial advantages over ground surveys for monitoring changes in forests, it encounters several challenges. Firstly, training samples in classification algorithms are typically selected through pixel-based random sampling or manual regional sampling. …”
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Self-sampling for human papillomavirus (HPV) testing: a systematic review and meta-analysis by Ping Teresa Yeh, Caitlin E Kennedy, Hugo de Vuyst, Manjulaa Narasimhan

“…Introduction Human papillomavirus (HPV) self-sampling test kits may increase screening for and early detection of cervical cancer and reduce its burden globally. …”
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Parameter Optimization of Droop Controllers for Microgrids in Islanded Mode by the SQP Method with Gradient Sampling by Peijie Li, Ziyi Yang, Shuchen Huang, Jun Zhang

“…The Sequential Quadratic Programming with Gradient Sampling (SQP-GS) is implemented to optimize the droop controller parameters for solving the nonsmooth problem. …”
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Attributes of the soil with cactus pear under organic fertilization, different spacings and sampling times by Milton C. Padilha Junior, Sérgio L. R. Donato, Paulo E. R. Donato, João A. da Silva

“…ABSTRACT The objective of this study was to evaluate the chemical attributes of the soil cultivated with ‘Gigante’ cactus pear under different doses of organic fertilizer, planting spacings and sampling times. Four doses of organic fertilizer with bovine manure (0, 30, 60 and 90 Mg ha-1 year-1), three spacings (1.0 x 0.5, 2.0 x 0.25 and 3.0 x 1.0 x 0.25 m) and three sampling times (0, 390 and 600 days after planting) corresponding to the periods prior to planting, growth and harvest of the first cycle, were evaluated in a randomized block design in a 4 x 3 x 3 factorial scheme, with three repetitions. …”
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