Machine learning techniques for estimating high–temperature mechanical behavior of high strength steels by C. Yazici, F.J. Domínguez-Gutiérrez

“…Various ML models—including Lasso Regression, Gradient Boosting, Random Forest, Extreme Gradient Boosting, Support Vector Regression, and Adaptive Boosting were rigorously evaluated to determine their predictive capabilities. …”
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Automated image-based identification and consistent classification of fire patterns with quantitative shape analysis and spatial location identification by Pengkun Liu, Shuna Ni, Stoliarov Stanislav I, Pingbo Tang

“…Second, it employs an aspect ratio-based random forest model to classify fire pattern shapes. …”
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Hubungan antara Dukungan Sosial dengan Resiliensi Penyintas COVID-19 di Wilayah Kerja Puskesmas Kaliwates Jember by Aditya Kusuma Wardana, Erti Ikhtiarini Dewi, Yeni Fitria

“…The number of samples in this research was 176 COVID-19 survivors and were selected using the simple random sampling technique. Data were obtained using the Multidimensional Scale of Perceived Social Support (MSPSS) and Connor-Davidson Resilience Scale (CD-RISC-25) questionnaires. …”
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Investigating Different Types of Red-Light Running Behaviors among Urban e-Bike Rider Mixed Groups by Fan Zhang, Chenchen Kuai, Huitao Lv, Wenhao Li

“…Crossing behaviors of 4,180 e-bike samples (2006 delivery e-bikes and 2174 ordinary e-bikes) at signalized intersections are observed in Xi’an, China. The random parameter multinomial logit model is employed to capture the unobserved heterogeneous effects, and the effects of interaction terms are also considered. …”
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Diagnostic Performance and Safety of Ultrasound‐Guided Core Needle Biopsy for Diagnosing Lymphoma: A Systematic Review and Meta‐Analysis by Yongmin Kwon, Min Kyoung Lee

“…The Der‐Simonian‐Laird random‐effects model was applied to analyze the pooled data. …”
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Land use land cover change as a casual factor for climate variability and trends in the Bilate River Basin, Ethiopia. by Samuel Shibeshi Bikeko, Dr E Venkatesham

“…Utilizing multispectral satellite imagery from Landsat 5, 7, and 8, along with meteorological data from five stations, LULC was classified using the Random Forest algorithm on the Google Earth Engine platform. …”
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The level of motivation and barrier to physical education learning: the perspective of boarding school students by Rama Kurniawan, Wiji Bagus Sasmito Khamid, Surya Adi Putra

“…The number of samples is 215 students divided into classes X, XI, and XII, the distribution of samples using simple random sampling. The test instrument used a questionnaire. …”
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Comparative rheological features of radiated Darcy-Forchheimer flow of micropolar and second grade fluid with cross diffusion and Arrhenius activation energy by S. Bilal, Muhammad Yasir, Ali Hasan Ali

“…Moreover, Buongiorno model is taken into account to deliberate the random movement of particles and thermophoretic effects in both considered fluids. …”
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AVAILABILITY AND ACCEPTABILITY OF COVID-19 VACCINE AMONG NON-TEACHING STAFF OF LAGOS STATE UNIVERSITY, OJO, LAGOS by WALIU BABATUNDE OGUNBAMOWO, OLUGBENGA ADEYEMI BODUNRIN, DANIEL OLUWATOBI ASHON, LATEEFAT ABIODUN LIGALI

“…The descriptive survey research method was used, and a random sampling technique was used to select 300 non-teaching staff. …”
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Evaluation of Propolis, Aloe Vera Gel, Noni, Pomegranate Juice Natural Storage Medium for Management of Avulsed Teeth by Sanjit Kumar Sahoo, Swetha Vempalli, Minal Awinashe, Shahzad Ali Shah, Mohamed Tharwat Salama, Sajith Abraham, Mukul Shetty, Shaili Ghosh

“…Each of the four storage medium groups (N = 10)—Group A: propolis, Group B: pomegranate juice, Group C: aloe vera, and Group D: noni—was assigned to them at random. The teeth were immersed in one of the three experimental media for forty minutes after being dried for twenty-five minutes at room temperature. …”
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Quality of Life Related to Health on Patients Suffering from Cerebrovascular Diseases at 2 Years of Survival by Rubén Bembibre Taboada, Diosdania Alfonso Falcón, Carlos Jaime Geroy Gómez, Miguel Angel Buergo Zuaznábar, Inti Santana Carballosa

“…<strong>Method:</strong> A retrospective and prospective, descriptive study of a serie of cases with quality of life assessment related to patient’s health two years after being discharged from hospital due to ictus. A simple random sampling was performed and applied to survivors. …”
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Machine learning-based urban noise appropriateness evaluation method and driving factor analysis. by Jinlin Teng, Cheng Zhang, Huimin Gong, Chunqing Liu

“…This study introduces various machine learning methods and applies the Random Forest algorithm, which performed best, to investigate noise suitability in the central urban area of Nanchang City. …”
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Identification of Gamma-Ray Point Sources in Fermi-LAT Data with Minimum Spanning Tree Algorithm by Mehran Soor, Fatemeh Akhondi, Hadi Hedayati

“…To this end, we selected eight completely random (10°×10°) fields of Fermi gamma-ray sky and tested the algorithm on the 12-year Fermi-LAT sky (Pass 8) at energy ranges above 3 GeV and above 6 GeV and with different cluster selection criteria. …”
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ExAIRFC-GSDC: An Advanced Machine Learning-Based Interpretable Framework for Accurate Gas Leakage Detection and Classification by B. Lalithadevi, S. Krishnaveni

“…The proposed ExAIRFC-GSDC model integrates machine learning algorithms, particularly a Random Forest Classifier, with explainable artificial intelligence (XAI) techniques to enhance interpretability. …”
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Monte–Carlo Techniques Applied to CGH Generation Processes and Their Impact on the Image Quality Obtained by Juan A. Magallón, Alfonso Blesa, Francisco J. Serón

“…PMCS is based on the random choice of a subset of rays used to compute the CGH and relates the computation time spent to the quality of the reconstructed scene. …”
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Password strength verification based on machine learning algorithms and LSTM recurrent neural networks by V. V. Belikov, I. A. Prokuronov

“…The proposed supervised machine learning algorithms comprise support vector machines, random forest, boosting, and long short-term memory (LSTM) recurrent neural network types. …”
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Towards Enhancement of Performance of K-Means Clustering Using Nature-Inspired Optimization Algorithms by Simon Fong, Suash Deb, Xin-She Yang, Yan Zhuang

“…Traditional K-means clustering algorithms have the drawback of getting stuck at local optima that depend on the random values of initial centroids. Optimization algorithms have their advantages in guiding iterative computation to search for global optima while avoiding local optima. …”
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Oxidative mechanism of chicken wooden breast myofibrillar protein by Ke Wang, Yimin Zhang, Jingxin Sun

“…In addition, the α-helix content of WBMP decreased significantly from (37.46 ± 1.15)% (NBMP) to (34.70 ± 2.04)%, while β-sheet and random coil contents increased significantly (P &lt; 0.05) from (14.37 ± 0.69)% and (22.24 ± 0.78)% (NBMP) to (17.70 ± 0.87)% and (25.20 ± 1.47)% (WBMP). …”
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Geographic Distribution Patterns of Soil Microbial Community Assembly Process in Mangrove Constructed Wetlands, Southeast China by Ping Hu, Qiong Yang

“…The abundance of genera changed significantly between the treatment groups, such as the genus <i>Candidatus_Udaeobacter</i> for bacteria versus <i>Russula</i> for fungi, and the random forest model showed that rare genera (e.g., <i>Acidibacter</i>, <i>Dyella</i>, <i>Sebacina</i>, and <i>Lachnellula</i>) also play an important role in microbial community construction. …”
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Laparoscopic Gastric Plication versus Laparoscopic Sleeve Gastrectomy: An Up-to-Date Systematic Review and Meta-Analysis by Konstantinos Perivoliotis, Eleni Sioka, Georgia Katsogridaki, Dimitrios Zacharoulis

“…The fixed effects or random effects model was used according to the Cochran Q test. …”
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