STATIC AND DYNAMIC MULTI-OBJECTIVE RELIABILITY TOPOLOGICAL OPTIMIZATION FOR TIPPING SHAFT STRUCTURE OF DUMP TRUCK by ZHOU Song, GAO Xiang, FAN TiQiang, WANG BinHua, ZHOU Jia, WAN XinMing, LI Yang

“…In view of the effect of random uncertain factors such as the material properties of the turning shaft and different load conditions on its performance, and reduce its weight to improve fuel economy.Through the finite element modeling of the dump truck, the load analysis of the turning shaft is carried out according to the limit force under the actual working conditions, the first-order second moment method is used for reliability analysis, and the reliability index is used to reflect the influence of uncertain factors. …”
Get full text

Identifying industrial buildings as a spatial resource for sustainable urban regeneration in high-density post-industrial metropolitan in Asia by Miao Sun, Tan Qin, Yuanxiao Kuang, Jianchang Lv

“…It extracts vector footprints of buildings from aerial imagery through image segmentation, establishes a feature engineering model comprising 11 distinct indicators, and introduces a Random Forest model to enhance the analysis. By mining the implicit spatial design requirements present in geographical information, this methodology facilitates the classification of industrial buildings from hundreds of thousands of buildings. …”
Get full text

Validity of Weight Estimation Models in Pigs Reared under Different Management Conditions by Marvelous Sungirai, Lawrence Masaka, Tonderai Maxwell Benhura

“…The stepwise multiple linear regression method was done to develop a model using a random selection of 202 records of pigs. The model showed that age, body length, and heart girth were useful predictors of live weight in these pigs with significantly high positive correlations observed. …”
Get full text

Simulation Study of Swarm Intelligence Based on Life Evolution Behavior by Yanmin Liu, Ying Bi, Changling Sui, Yuanfeng Luo, Zhuanzhou Zhang, Rui Liu

“…Additionally, PSO is a random swarm intelligence algorithm with the genetic and sociological property, so we embed the improved mutation and crossover operation to particle swarm optimization (PSO) and designed DNA-PSO algorithm to optimize single and multiobjective optimization problems. …”
Get full text

Multiobjective Collective Decision Optimization Algorithm for Economic Emission Dispatch Problem by Xinlin Xu, Zhongbo Hu, Qinghua Su, Zenggang Xiong

“…MOCDOA uses three novel learning strategies, that is, a leader-updating strategy based on the maximum distance of each solution in an external archive, a wise random perturbation strategy based on the sparse mark around a leader, and a geometric center-updating strategy based on an extreme point. …”
Get full text

Confirmatory Factor Analysis of a Portuguese Version of the Pittsburgh Sleep Quality Index by C. M. Teixeira, A. Caçador, T. M. Ferreira, José Vasconcelos-Raposo

“… The purpose of the present study is to determine the reliability and factorial validity of a Portuguese version of the Pittsburgh Sleep Quality Index - PSQI (Buysse, Reynolds III, Monk, Berman, & Kupfer, 1989). Methods: A random sample of 252 children (113 girls; 139 boys) attending the secondary school, with an average age of 15.27 years (SD = 1.925) that completed the Portuguese PSQI (P-PSQI). …”
Get full text

ESG (Environmental, Social, Governance) and Company Performance: ESG Guidelines of the Indonesian Ministry of Finance by Mega Silvia, Fei Guo

“…This study aims to analyze the relevance of the implementation and disclosure of Environmental, Social, Governance (ESG) based on these guidelines to company value, cost of capital, and carbon performance. This study uses a random effects model to analyze the relationship between variables with a sample size of 754 (Companies, years). …”
Get full text

Global emissions of polychlorinated naphthalenes from 1912 to 2050 by Yuyan Luo, Yechao Shen, Minghui Zheng, Guorui Liu

“…Here, we estimate historical emissions from PCN production and use (1912-1987) and unintentional emissions from 20 categories (2000-2020). A random forest regression model projects emissions for 2020-2050. …”
Get full text

Positioning a Handshake Bay for Twin Stacking Cranes in an Automated Container Terminal Yard Block by Zhi-Hua Hu, Xi-Dan Tian, Yu-Qi Yin, Chen Wei

“…To solve the model, we developed a random-key genetic algorithm with a priority-based decoding scheme to optimize the task sequences and tasks assigned to the cranes. …”
Get full text

Analysis of Emotional Stress of Teachers in Japanese Teaching Process Based on EEG Signal Analysis by Jie Dong

“…Finally, this paper uses the feature selection algorithm of tree model and the random forest model classifier to establish the recognition model of teachers’ emotional stress discharge in Japanese teaching process based on EEG signals and achieves the effect of more accurate recognition of teachers’ emotional stress discharge in Japanese teaching process. …”
Get full text

A state-of-the-art review on the modeling and probabilistic approaches to analysis of power systems integrated with distributed energy resources by Paul Wanjoli, Nabil H. Abbasy, Mohamed M. Zakaria Moustafa

“…Emphasis is placed on evaluating various models applied to different system random variables (RVs), focusing on their suitability for those particular RVs. …”
Get full text

Pengaruh Metode Pembelajaran Brainstorming Terhadap Kemampuan Berpikirkritis Materi Vertebrata Pada Siswa SMA by Dzaalika Aldeirre, Ratna Komala, Erna Heryanti

“…The number of research samples were 132 students using Taro Yamane formula selected by simple random sampling. This research was conducted in May-June 2018. …”
Get full text

Impact of video-based educational intervention to improve parents’ knowledge and awareness towards risk of antibiotic resistance in children: A pre-post interventional design by Syam Wahyu Romizatul Isnaeni, Kaaffah Silma, Fauziah Fauziah

“…They were chosen using cluster random sampling from 10 Integrated Service Posts. …”
Get full text

Classification of NSCLC subtypes using lung microbiome from resected tissue based on machine learning methods by Pragya Kashyap, Kalbhavi Vadhi Raj, Jyoti Sharma, Naveen Dutt, Pankaj Yadav

“…Next, benchmarking was performed across six different supervised-classification algorithms viz. logistic-regression, naïve-bayes, random-forest, extreme-gradient-boost (XGBoost), k-nearest neighbor, and deep neural network. …”
Get full text

Cryptographic Censorship by Netta Engelhardt, Åsmund Folkestad, Adam Levine, Evita Verheijden, Lisa Yang

“…We first prove “Cryptographic Censorship”: a theorem showing that when the time evolution operator of a holographic CFT is approximately pseudorandom (or Haar random) on some code subspace, then there must be an event horizon in the corresponding bulk dual. …”
Get full text

STRATEGIC MANAGEMENT CONTROLS AND OPERATIONAL PERFORMANCE OF SMALL AND MEDIUM ENTERPRISES IN SOUTH-WEST NIGERIA by Yusuf Alabi Olumoh

“…This study adopted a quantitative survey research design and collected primary data from 399 SMEs in South-West, Nigeria, selected through stratified random sampling. Partial Least Squares Structural Equation Modeling was used for data analysis. …”
Get full text

Time series forecasting of bed occupancy in mental health facilities in India using machine learning by G. Avinash, Hariom Pachori, Avinash Sharma, SukhDev Mishra

“…This study applies six machine learning models, namely Support Vector Regression, eXtreme Gradient Boosting, Random Forest, K-Nearest Neighbors, Gradient Boosting, and Decision Tree, to forecast weekly bed occupancy of the second largest mental hospital in India, using data from 2008 to 2024. …”
Get full text

Application of an Improved TF-IDF Method in Literary Text Classification by Lin Xiang

“…Using the improved TF-IDF method suggested in this research with the random forest (RF) classifier, the experimental results show that the classifier has a good classification impact, which can meet the actual work needs, based on comparative experiments on feature dimension selection, feature selection algorithm, feature weight algorithm, and classifier. …”
Get full text

Unimodal‐Bio‐GAN: Keyless biometric salting scheme based on generative adversarial network by Mayada Tarek, Eslam Hamouda, Sara El‐Metwally

“…In unimodal‐Bio‐GAN, a random permuted version of the human biometric data is implicitly considered as a salting key and required only during the enrolment stage, which increases the system reliability to overcome different security attacks. …”
Get full text

Day-Ahead Crude Oil Price Forecasting Using a Novel Morphological Component Analysis Based Model by Qing Zhu, Kaijian He, Yingchao Zou, Kin Keung Lai

“…The significant performance improvement of the proposed algorithm incorporating the heterogeneous data characteristics, against benchmark random walk, ARMA, and SVR models, is also attributed to the innovative methodology proposed to incorporate this important stylized fact during the modelling process. …”
Get full text