A core-shell magnetic layered double hydroxide composite material for the effective decolorization of phenol red by Şakir Yılmaz

“…Furthermore, the statistical model obtained from BBD was sufficient to estimate the PR decolorization on Fe3O4/NiMn-LDH (p < 0.0001). …”
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Incorporating Machine Learning in Capture-Recapture Estimation of Survey Measurement Error by Maaike Walraad, Jonas Klingwort, Joep Burger

“…The design-based survey estimate was considerably lower than the CRC estimates, which are based on multiple data sources and statistical models. A likely explanation is measurement error in the survey, which is conceivable given the response burden of diary questionnaires. …”
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Wear - Sediment Quantity Correlation Model for Preventive Maintenance Scheduling of a Hydroelectric Power Plant by Kleber Zhañay, Cristian Leiva, Erika Pilataxi, William Quitiaquez

“…The result of the correlation statistical model determined the preventive maintenance for improvement conditions of 98 % of the availability in the hydroelectric power plant and is reflected in the reduction of days of no electricity generation. …”
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Differential game theory application in models of trade relations of Great Britain with Portugal and Russia with Belarus by I. V. Korolyov

“…The problem of the lack of statistical information (base) is reduced to the study of not absolute, but relative values of phase variables, which is guaranteed by the stable structure of the corresponding economic and statistical model. The conclusions can be useful for undergraduate and postgraduate students of economic and mathematical profile. …”
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Introduction risk of fire ants through container cargo in ports: Data integration approach considering a logistic network. by Shota Homma, Daisuke Murakami, Shinya Hosokawa, Koji Kanefuji

“…However, limited data are available for this estimation in the introduction stage. Spatial statistical models have been used to address the lack of information by considering the observations of neighbors or integrating multiple data sources based on the assumption of spatial correlation. …”
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Improving tropical cyclone rapid intensification forecasts with satellite measurements of sea surface salinity and calibrated machine learning by Ryan Eusebi, Hui Su, Longtao Wu, Pingping Rong, Karthik Balaguru, Ruby Leung, Yong-Sang Choi, Pak Wai Chan, Jianping Gan, Mark DeMaria, Galina Chirokova

“…To investigate the impact and efficacy of using salinity information in state-of-the-art forecasting, we use a statistical model consisting of a variety of machine learning (ML) methods. …”
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Optimization of Ultrasound Treatment of Beverage from Mango and Carrot with Added Turmeric Using Response Surface Methodology by Leticia X. Lopez-Martinez, Nill Campos-Gonzalez, Victor M. Zamora-Gasga, Jesús A. Domínguez-Avila, Sunil Pareek, Mónica A. Villegas-Ochoa, Sonia G. Sáyago Ayerdi, Gustavo A. Gonzalez-Aguilar

“…The beverages were subjected to different ultrasound conditions with varying exposure times (ET), sonication amplitudes (SA), and pulse cycles (PC) to obtain the highest values for response variables. Statistical modeling showed that a UT at 21 min ET, 100% SA, and 0.7 s PC, increased TSP, Trolox equivalent antioxidant capacity (TEAC), and ferric reducing antioxidant power (FRAP) by 15.5%, 45.1%, and 15.9%, respectively. …”
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Influence of fused deposition modelling printing parameters on tablet disintegration times: a design of experiments study by Kreft Klemen, Stanić Tijana, Perhavec Petra, Dreu Rok, Lavrič Zoran

“…Lastly, layer height did not influence the disintegration time. A statistical model with accurate fit (R2 = 0.928) and predictability (Q2 = 0.847) was created. …”
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Modeling PM2.5 Urban Pollution Using Machine Learning and Selected Meteorological Parameters by Jan Kleine Deters, Rasa Zalakeviciute, Mario Gonzalez, Yves Rybarczyk

“…The study demonstrates that the use of statistical models based on machine learning is relevant to predict PM2.5 concentrations from meteorological data.…”
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Assessing Methods to Measure Stem Diameter at Breast Height with High Pulse Density Helicopter Laser Scanning by Matthew J. Sumnall, Ivan Raigosa-Garcia, David R. Carter, Timothy J. Albaugh, Otávio C. Campoe, Rafael A. Rubilar, Bart Alexander, Christopher W. Cohrs, Rachel L. Cook

“…The stem classification method required comparatively little development of statistical models to provide estimates, which ultimately had a similar level of accuracy (RMSE < 1 cm) to PREV. …”
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A Comprehensive Review of Wind Power Prediction Based on Machine Learning: Models, Applications, and Challenges by Zongxu Liu, Hui Guo, Yingshuai Zhang, Zongliang Zuo

“…This paper presents a comprehensive review of machine learning techniques applied to wind power prediction, emphasizing their advantages over traditional physical and statistical models. Machine learning methods, especially deep learning approaches such as Convolutional Neural Networks (CNNs), Long Short-Term Memory Networks (LSTMs), and ensemble learning techniques like XGBoost, excel in addressing the nonlinearity and complexity of wind power data. …”
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Salivary Metabolomics Fingerprint of Chronic Apical Abscess with Sinus Tract: A Pilot Study by Noemi Montis, Elisabetta Cotti, Antonio Noto, Claudia Fattuoni, Luigi Barberini

“…Subsequently, in order to compare the two groups, a multivariate statistical model was built that resulted to be statistically significant. …”
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Use of Machine Learning Models for Prediction of Organic Carbon and Nitrogen in Soil from Hyperspectral Imagery in Laboratory by Manuela Ortega Monsalve, Mario Cerón-Muñoz, Luis Galeano-Vasco, Marisol Medina-Sierra

“…The objective of this research is to use statistical models to predict OC and N in soils from hyperspectral images. …”
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A Study on the Changes of Urban System Pattern in Markazi Province by Alireza Sayyafzadeh, Mohammad Mireh, Morteza Nodeh Farahani

“…This distribution has been measured using mathematical and statistical models. Urban system is spatial visualization of political economy and land management. …”
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The impact of consultants’ power dynamics on clients’ self-efficacy and managerial stress by Rotem Lachmi, Batia Ben-Hador, Yael Brender-Ilan

“…Using moderation statistical models, a significant correlation was found between consultants’ Expert power and clients’ self-efficacy, with managerial stress moderating this relationship. …”
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Machine learning algorithms in air quality modeling by A. Masih

“…The recent advances in statistical modeling based on machine learning approaches have emerged as solution to tackle these issues. …”
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Within-host bayesian joint modeling of longitudinal and time-to-event data of Leishmania infection. by Felix M Pabon-Rodriguez, Grant D Brown, Breanna M Scorza, Christine A Petersen

“…There are many mathematical and statistical models for these kinds of processes that take into account a wide range of events that happen within the host. …”
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Spatial analysis of distribution and access to urban services at the level of urban neighborhoods with a spatial justice approach (Case study: Commercial uses of Ardabil city) by Alireza Mohammadi, Reza Hashemi Masoomabad, chnour Mohammadi

“…The statistical population of the study is 44 localities of Ardabil city. Spatial statistics models, Hot Spot Analysis, and GIS software were used for data analysis. …”
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Unsupervised data imputation with multiple importance sampling variational autoencoders by Shenfen Kuang, Yewen Huang, Jie Song

“…During the learning step, the mixture components are represented by multiple separate encoder networks, which are later combined through simple averaging to enhance the latent representation capabilities of the VAEs when dealing with incomplete data. The statistical model and variational distributions are iteratively updated by maximizing the Multiple Importance Sampling Evidence Lower Bound (MISELBO) on the joint log-likelihood. …”
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Factors associated with the delay in diagnosis of extrapulmonary tuberculosis at the patient and health system level: A study from a rural setting in India. by Shoaib Hassan, Reza Yaesoubi, Ole Bjørgaas Helle Magnus, Mala Kanthali, Manju Raj Purohit, Tehmina Mustafa

“…Most of the adult EPTB (83%) and non-TB (76%) patients were self-referred to our study site, where they were diagnosed. Our statistical models highlighted low-middle income groups, longer distances and longer travel time to HFs, and potentially less-empowered occupations as housewives with a prolonged TTD. …”
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