Evaluation of HY-2B SMR Sea Surface Temperature Products from 2019 to 2024 by Ping Liu, Yili Zhao, Wu Zhou, Shishuai Wang

“…ETC analysis indicates that the random errors for ascending and descending passes are 0.87 °C and 0.80 °C, respectively. …”
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Graph Evaluation and Review Technique for Emergency Logistics Distribution in Complex Environment by Lin Lu, Liguo Yang, Xiaochun Luo

“…In view of the defect that the current emergency logistics model cannot completely describe the whole emergency logistics process, this paper proposes a new emergency logistics distribution model by using GERT random network. From the perspective of system, this model fully considers the possible situation in the process of emergency material transportation and puts forward the corresponding countermeasures, so as to improve the transportation efficiency of rescue materials in the actual disaster relief activities to speed up disaster relief. …”
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Study of machine learning techniques for outcome assessment of leptospirosis patients by Andreia Ferreira da Silva, Karla Figueiredo, Igor W. S. Falcão, Fernando A. R. Costa, Marcos César da Rocha Seruffo, Carla Cristina Guimarães de Moraes

“…In this respect, this paper presents a study of three algorithms (Decision Tree, Random Forest and Adaboost) for predicting the outcome (cure or death) of individuals with leptospirosis. …”
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A Data Mining Approach Identified Salivary Biomarkers That Discriminate between Two Obesity Measures by Ping Shi, J. Max Goodson

“…This study aimed to identify salivary biomarkers and other factors associated with obesity using an ensemble data mining approach. Methods. For a random cohort of over 700 subjects from 8137 Kuwait children (10.00 ± 0.67 years), four data mining methods were applied to identify important variables associated with obesity, including logistic regression by lasso regularization (Lasso), multivariate adaptive regression spline (MARS), random forests (RF), and boosting classification trees (BT). …”
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TEC Map Completion Using DCGAN and Poisson Blending by Yang Pan, Mingwu Jin, Shunrong Zhang, Yue Deng

“…The results with random masks (15–40% missing data) show that DCGAN‐PB can achieve better TEC map completion than DCGAN alone, and more training data can significantly improve its generalization. …”
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Assessment of Machine Learning Algorithms in Short-term Forecasting of PM10 and PM2.5 Concentrations in Selected Polish Agglomerations by Bartosz Czernecki, Michał Marosz, Joanna Jędruszkiewicz

“…We tested four ML models: AIC-based stepwise regression, two tree-based algorithms (random forests and XGBoost), and neural networks. …”
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Enhancing ride comfort of semi-active suspension through collaboration control using dung beetle optimizer optimized Fuzzy PID controller by Kunlun Zhang, Azizan As’arry, Liucun Zhu, Abdul Aziz Hairuddin, Mohd Khair Hassan, Mohd Zarhamdy Md Zain

“…Under sinusoidal and random disturbances, compared with the passive suspension, the vehicle acceleration of the Fuzzy-DBO-PID controller is reduced by 51%, 50.82%, 47.56% and 11.42%. …”
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Non‐Pharmacological Interventions Before Cataract Surgery for Preoperative Anxiety: A Systematic Review and Meta‐Analysis by Mahsan Nabighadim, Mojgan Mirghafourvand, Mahsa Maghalian

“…For cases with heterogeneity, random effects, rather than fixed effects, were reported, and subgroup analysis was performed based on the type of intervention. …”
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Predictive Role of Neutrophil to Lymphocyte Ratio in Adnexal Torsion: A Systematic Review and Meta-Analysis by Shokoufeh Khanzadeh, Hossein Tahernia, Jairo Hernandez, Camila Sarcone, Brandon Lucke-Wold, Amirhosseinn Salimi, Fatemeh Tabatabaei

“…Because a significant level of heterogeneity was found, we used the random-effects model to calculate pooled effects. …”
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Spatial statistical analysis for the design of indoor particle-filter-based localization mechanisms by Jesus Martínez-Gómez, Miguel Martínez del Horno, Manuel Castillo-Cara, Víctor Manuel Brea Luján, Luis Orozco Barbosa, Ismael García-Varea

“…However, the accuracy and robustness of such mechanisms can be severely compromised due to the random and unpredictable nature of radio channels. …”
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Image double fragile watermarking algorithm based on block neighborhood by Yilong WANG, Zhenyu LI, Daofu GONG, Fenlin LIU

“…To address the security risks associated with fixed offset mapping in self-embedded watermarking technology, as well as the limited recovery rate of single watermarking methods, an image double fragile watermarking algorithm based on block neighborhood was proposed.The image was divided into non-overlapping blocks of size 4×4 and block truncation coding was used to generate the recovery watermark based on the image block.For each image block, a neighborhood of a proper size was specified and two mapping blocks were randomly selected from the regions within and outside the neighborhood.Then the recovery watermark was embedded into the two mapping blocks simultaneously.The image block neighborhood setting mechanism of the algorithm ensured that the image block maintains a certain distance from its corresponding mapping block.Additionally, the selection mechanism of mapping blocks inside and outside the image block neighborhood ensured a certain distance between the two mapping blocks, thereby guaranteeing the security of the watermark.In the case of continuous region tampering, the relationship between the tampered region and the neighborhood of the image block was analyzed theoretically.The analysis showed that a suitable image block neighborhood can improve the average recovery rate of the tampered area compared with the random mapping embedding algorithm.Besides, the distribution trend of the average recovery rate of the tampered area and the recovery rate of each image block in the tampered area were given by numerical calculation.It was found that the tampered area image block can be recovered 100%, some image blocks in the center of the tampered area can be recovered 100%, and the recovery rate of image blocks in tampered area will be reduced.The experimental results verify the rationality and effectiveness of the theoretical analysis.Moreover, when the neighborhood parameters are large, the proposed algorithm achieves a higher average recovery rate of the tampered region than the random mapping embedding algorithm in the case of continuous region tampering.…”
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Endometriosis and risk of cardiovascular disease: a systematic review and meta-analysis by Sina Parsa, Rashin Noroozpoor, Hojat Dehghanbanadaki, Sorour Khateri, Yousef Moradi

“…Cohort and case-control studies investigating the relationship between endometriosis and CVD risk were included. Random-effects or fixed-effects models were used depending on the heterogeneity among studies. …”
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Application of Probabilistic and Nonprobabilistic Hybrid Reliability Analysis Based on Dynamic Substructural Extremum Response Surface Decoupling Method for a Blisk of the Aeroengi... by Bin Bai, Wei Zhang, Botong Li, Chao Li, Guangchen Bai

“…Tuned and mistuned blisks are studied in a complicated environment, and the results are compared with the Monte Carlo method (MCM) and the multilevel nested algorithm (MLNA) to verify that the hybrid model can better handle reliability problems concurrently containing random variables and interval variables; meanwhile, it manifests that the computational efficiency of this method is superior and more reasonable for analysing and designing a mistuned blisk. …”
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Reliability-Based Optimum Design of Dome Truss Structures through Enhanced Vibration Particle System by Pedram Hosseini, Nasibeh Hatami, Seyed Rohollah Hoseini Vaez

“…An evaluation of the reliability of the structure is made by using random variables to represent uncertain parameters. …”
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The role of hybrid models in financial decision-making: Forecasting stock prices with advanced algorithms by Xiaoyi Zhu

“…Then, the high sequences underwent processing using the optimized random forest algorithm, and the remaining sequences were subjected to processing utilizing optimized bidirectional long short-term memory. …”
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Reverse Dipping of Blood Pressure in Patients of Hypertension with and without Type 2 Diabetes Mellitus by Kanwal Shahid, Nauman Ismat Butt, Tooba Iqbal, Rubaba Khan, Anum Rasheed, Iqra Azam

“…Mean fasting blood glucose and mean random blood glucose levels were 87.32±13.2 mg/dl and 152.76±21.8 mg/dl respectively. …”
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Application of Multimedia Quality Evaluation Relying on Intelligent Robot Numerical Control Technology in New Energy Power Generation System by Ruijuan Sun, Xiaoyuan Dang

“…Secondly, the influence of random faults between units on the subsequent loading rate was studied through probability calculation. …”
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DESCRIPTION LEVEL KNOWLEDGE STUDENT ABOUT BASIC LIFE SUPPORT IN SENIOR HIGH SCHOOL MUHAMMADIYAH 1 GRESIK by Rizal Nurul Fajar, Cucuk Rahmadi Purwanto, Hafna Ilmy Muhalla

“…Methods: Method quantitative with a descriptive approach with a total of 133 respondents. the sampling technique used in the study This is Simple Random sampling, where the sample is taken from the population at random. …”
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Evaluation of Failure Probability in Series System of Three-Axle Trucks under Strong Crosswind by Yahui Hu, Yingshi Guo, Rui Fu, Qingjin Xu

“…Reliability theory and random fuzzy methods are utilized to establish the membership function of the failure probability in the series system (FPSS) composed of rollover, side-slip, and rotation failure accidents. …”
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Skillful subseasonal ensemble predictions of heat wave onsets through better representation of land surface uncertainties by Qiyu Zhang, Mu Mu, Guodong Sun

“…The performance of the CNOP-P approach and the traditional random parameter perturbation ensemble prediction method was evaluated. …”
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