Ecofriendly dyeing of silk fabric with yellow natural and synthetic dye by Hamid Ali Tanveer, Shahid Adeel, Fazal-ur-Rehman, Muhammad Ibrahim, Al Mojnun Shamim, Muhammad Aftab, Muhammad Imran, Rony Mia

“…MW treatment of up to 2–10 min was used to stimulate the dye solution and fabric, with dyeing variables were selected using statistical modelling. For the natural dye from curcumin rhizome, mordanting was performed before and after dyeing. …”
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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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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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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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The good, bad, and ugly of comment prompts: Effects on length and helpfulness of peer feedback by Huifeng Mu, Christian D. Schunn

“…Since a given comment prompt often contained multiple features, statistical models were used to tease apart the unique relationship of each comment prompt feature with comment length and helpfulness. …”
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The dengue disquisition: A low-cost public housing conundrum in Klang Valley, Malaysia. by Nabila AbuBakar, Jerzy M Behnke, Norhidayu Sahimin, Xiaoye Kang, Siti Nursyahirah Mohd Shahar, Yvonne Ai Lian Lim, Siti Nursheena Mohd Zain

“…Overall seroprevalence of anti-dengue immunoglobulin G (IgG) was 78.2% (CL: 72.5-83.1) among the 436 residents who participated in the study, while seroprevalence of anti-dengue IgM was 0.9% (CL: 0.2-3.2). Log-linear statistical models with the presence/absence of anti-dengue IgG and individual factors showed significant associations of anti-dengue IgG with age, income, location, and waste bin conditions, but ethnicity was just at the wrong side of the cut-off for significance. …”
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Analysis and Classification of Mobile Apps Using Topic Modeling: A Case Study on Google Play Arabic Apps by Ahlam Fuad, Maha Al-Yahya

“…Topic modeling is a type of statistical modeling technique for discovering abstract topics that occur in a set of documents. …”
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Which Dimensions of Entrepreneurial Orientation Drive Firm Performance in Hostile Environments? Lessons From the Pandemic Crisis by Marcin Suder

“…Unlike traditional approaches, this method relied on subjective, retrospective experiences and evaluations of entrepreneurs and managers, rather than predefined constructs or statistical models. Findings: The results indicate that, in the hostile environment of the pandemic, two of the three EO dimensions, that is, proactiveness and innovativeness, were perceived by entrepreneurs and managers as significant factors mitigating the crisis’s impact on firm performance. …”
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Ashwagandha: Optimizing the Extraction and Electrospun Nanofiber Production by Maciej Jaskólski, Magdalena Paczkowska-Walendowska, Andrzej Miklaszewski, Judyta Cielecka-Piontek

“…The optimal nanofiber composition was determined to be 2.5 mL extract, 25% PVP, and an extract-to-HPβCD ratio of 1:0.6. Statistical modeling confirmed that the electrospinning process did not compromise the antioxidant or anti-inflammatory properties of the extract, with extract content being the primary determinant of biological activity. …”
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GIS-based frequency ratio and Shannon entropy modeling for landslide susceptibility mapping: A case study in Kundah Taluk, Nilgiris District, India by Senthilkumar Harithaa, Selvaraj Evany Nithya

“…This highlights the necessity for mapping landslide susceptibility and effective planning. Two bivariate statistical models were employed to evaluate the landslide susceptibility: Frequency ratio (FR) and Shannon entropy (SE). …”
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Modeling to medical and economic data using: The transmuted power unit inverse Lindley distribution by Eman A. Eldessouky, Osama H. Mahmoud Hassan, Badr Aloraini, Ibrahim Elbatal

“…The hazard rate function may display both increasing and decreasing patterns, offering significant flexibility in the formulation of statistical models for biomedical and economic research. …”
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Efficient Handling of Data Imbalance in Health Insurance Fraud Detection Using Meta-Reinforcement Learning by Supriya Seshagiri, K. V. Prema

“…Data imbalance is one of the major challenges in health insurance fraud detection where the distribution of classes within the dataset is significantly skewed, leading statistical models to be biased toward the dominant class. …”
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Carbon utilization and storage through rehabilitation of groundwater wells by Vivek V. Patil, Gabriella Basso, Steven Catania, Christopher Catania, Timothy Ostapuk, Robert Vince

“…Based on field data collection and statistical modeling, we estimated that 82–96% (median 90%) of the injected CO $${_2}$$ 2 remains in the subsurface post injection. …”
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Relationship of modifiable risk factors with the incidence of thyroid cancer: a worldwide study by Zahra Maleki, Jafar Hassanzadeh, Haleh Ghaem

“…Pearson correlation coefficient was used to evaluate the correlation. Finally, statistical modeling was done using Generalized Additive Model (GAM). …”
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IMAGE PROCESSING AT ELLIPSOIDAL PHOTOMETRY by M. A. Bezuglyi, N. V. Bezuglaya, A. B. Samilyak

“…During the analysis of biological media, there is a possible of prognosis the spatial distribution of the brightness of the image by means of statistical modeling of optical radiation in the system «biological medium + ellipsoidal reflector». …”
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ADAM-multi: software to simulate complex breeding programs for animals and plants with different ploidy levels and generalized genotypic effect models to account for multiple allel... by Thinh Tuan Chu, Thinh Tuan Chu, Just Jensen

“…Stochastic simulation software, ADAM, has been developed for the purpose of breeding optimization in animals and plants, and for validation of statistical models used in genetic evaluations. Just like other common simulation programs, ADAM assumed the bi-allelic state of quantitative trait locus (QTL). …”
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Evaluation of Shannon Entropy and Weights of Evidence Models in Landslide Susceptibility Mapping for the Pithoragarh District of Uttarakhand State, India by Nguyen Duc Dam, Mahdis Amiri, Nadhir Al-Ansari, Indra Prakash, Hiep Van Le, Hanh Bich Thi Nguyen, Binh Thai Pham

“…In this study, the main aim is to evaluate the performance of Shannon entropy (SE) and weights of evidence (WOE) statistical models in landslide susceptibility mapping of Pithoragarh district of Uttarakhand state, India. …”
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