Network and Agent Dynamics with Evolving Protection against Systemic Risk by Chulwook Park

“…The model starts with the probability that systemic risk spreads. Even in a very random social structure, the propagation of risk is guaranteed by an arbitrary network property of a set of elements. …”
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INVESTIGATION OF THE EFFECT OF SOCIAL MEDIA MARKETING ON DOCTOR BRANDING IN THE HEALTH SECTOR by Fatma Nuray Kuşcu, Yunus Emre Öztürk, Ali Göde

“…In line with the purpose of the research; 547 people selected by simple random sampling method among the students continuing their education at the university constitute the research sample group and the data were collected by applying a face-to-face questionnaire. …”
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Cutting Force Predication Based on Integration of Symmetric Fuzzy Number and Finite Element Method by Zhanli Wang, Yanjuan Hu, Yao Wang, Chao Dong, Zaixiang Pang

“…In the process of turning, pointing at the uncertain phenomenon of cutting which is caused by the disturbance of random factors, for determining the uncertain scope of cutting force, the integrated symmetric fuzzy number and the finite element method (FEM) are used in the prediction of cutting force. …”
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Influence of ecological restoration initiatives on emotional bonds between indigenous peoples and the Chinese alligator by Di Wu, Jintu Gu, Jiahao Yu

“…Based on a 10% sampling proportion, this research used the Kish selection method to draw a random sample of 361 households from the Chinese Alligator Reserve. …”
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VARIASI POLA SIDIK JARI MAHASISWA BERBAGAI SUKU BANGSA DI KOTA MADIUN by Karlina Purbasari

“…The research was conducted in five Universities in Madiun using Proportional Stratified Random Sampling method. The taking of the fingerprint was conducted by pressing the fingers of each student on the ink pad and the press them on the while paper. …”
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Approximation of planar point sets by point configurations by V. Yu. Yurkov

“…Also, it may be considered as random realizations of ideal one. Pure images and deformed ones are described by the same hierarchical structures. …”
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Self-supervised speech representation learning based on positive sample comparison and masking reconstruction by Wenlin ZHANG, Xuepeng LIU, Tong NIU, Qi CHEN, Dan QU

“…To solve the problem that existing contrastive prediction based self-supervised speech representation learning methods need to construct a large number of negative samples, and their performance depends on large training batches, requiring a lot of computing resources, a new speech representation learning method based on contrastive learning using only positive samples was proposed.Combined with reconstruction loss, the proposed method could obtain better representation with lower training cost.The proposed method was inspired by the idea of the SimSiam method in image self-supervised representation learning.Using the siamese network architecture, two random augmentations of the input speech signals were processed by the same encoder network, then a feed-forward network was applied on one side, and a stop-gradient operation was applied on the other side.The model was trained to maximize the similarity between two sides.During training processing, negative samples were not required, so small batch size could be used and training efficiency was improved.Experimental results show that the representation model obtained by the new method achieves or exceeds the performance of existing mainstream speech representation learning models in multiple downstream tasks.…”
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An Adaptive Particle Swarm Optimization Algorithm for Distributed Search and Collective Cleanup in Complex Environment by Yi Cai, Zhutian Chen, Jun Li, Qing Li, Huaqing Min

“…We modify the traditional PSO algorithm with a random factor to tackle premature convergence problem, and it can achieve a significant improvement in multi-robot system. …”
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Recent Data of Extensive Air Showers Recorded by Alborz I Array and Their Detailed Analysis by Mahmud Bahmanabadi, Mostafa Heydarizad

“…By using the time lags of the secondary particles of air showers relative to each other and the location of each of these ‎particles‎ relative to the core of the shower, the arrival direction of the primary particle producing each air shower has been ‎obtained.‎‎‎These data show that the distribution of time intervals of successive events in all directions of arrival into‎ the atmosphere is a random distribution‎. The distribution of the time intervals between successive events in different ‎seasons‎ has also been obtained and the seasonal effect has been ‎investigated‎. …”
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Evaluation and Ranking of Universities in Tehran with the Emphasis on the State of the University Ranking Systems by Omidifar Reza, Ali Reza Ghalee, Mohammad Hasani, Mir Najaf Mousavi

“…The statistical population of the study consisted of 383 students from Tehran public universities selected through random sampling. With respect to data collection, a questionnaire, with the Cronbach reliability index of 0.951, was utilized. …”
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The Impact of Social Responsibility on Emotional and Behavioral Responses of Tourists After Failure in Four-Five-Star Hotels (Case Study: Tehran City) by sara dodange, babak hajikarimi, MOHAMMAD mehdi mozafri, kamiar kavosh

“…The statistical population of the study was contained tourists who visited four-star and five-star hotels, and the sample size was estimated 384 people by the Cochran formula, sampling method was simple random. The data gathering tool was the questionnaire whose validity and reliability were confirmed. …”
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Evaluation of machine learning models for the prediction of Alzheimer's: In search of the best performance by Michael Cabanillas-Carbonell, Joselyn Zapata-Paulini

“…The models used were Random Forest (RF), Adaptive Boosting (AdaBoost), Support Vector Machine (SVM), K-nearest Neighbors (KNN), and Logistic Regression (LR). …”
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Nurses’ Perceptions of Electronic Health Record Usability in Obstetrics and Gynecology by Zeynep OĞUL

“…Method: A descriptive, quantitative, and cross-sectional design was used. Cluster random sampling was applied to obtain a representative sample from hospitals across the six regions of Northern Cyprus. …”
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Fault Diagnosis of PV Array Based on Time Series and Support Vector Machine by Ying Zhong, Bo Zhang, Xu Ji, Jieping Wu

“…Using the time series values as input data for a “one-to-one” multiclass classifier, we can identify and classify typical operational faults such as random shading, fixed shading, and aging degradation of PV arrays. …”
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Modeling and Simulation of Complex Network Attributes on Coordinating Large Multiagent System by Yang Xu, Xiang Li, Ming Liu

“…We have theoretically analyzed that the characters of complex network make a significant difference with both random and intelligent coordination strategies, which may contribute to future multiagent algorithm design.…”
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Investigation into effective mechanical properties of porous material produced by the additive manufacturing method by Seyed Mohammad Javad Tabatabaee, Mahdi Fakoor

“…In the most complex forms of these materials, the holes can have irregular shapes with a random distribution in size, location, and direction, making studying their properties a challenging problem. …”
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A New Method for Detecting Compensation Hole Parameters of Automobile Brake Master Cylinder Based on Machine Vision by Changfu Zhao, Hongchang Ding, Guohua Cao, Ying Zhang

“…The simulation experiment shows that the proposed algorithm satisfies 0.1 pixels in the coordinate detection of the center position, and the radius detection accuracy is 0.05 pixels, with fast detection speed and good robustness. Compared with the random Hough transform algorithm and the gradient Hough transform algorithm, the algorithm proposed in this paper has higher detection accuracy, faster detection speed, and better robustness, which meets the online detection accuracy requirements of the brake master cylinder compensation hole.…”
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Machine learning-based analyzing earthquake-induced slope displacement. by Jiyu Wang, Niaz Muhammad Shahani, Xigui Zheng, Jiang Hongwei, Xin Wei

“…This study evaluates the capabilities of various machine learning models, including artificial neural network (ANN), support vector machine (SVM), random forest (RF), and extreme gradient boosting (XGBoost) in analyzing earthquake-induced slope displacement. …”
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EFFECT OF RETIREMENT MANAGEMENT STRATEGIES ON QUALITY OF RETIREE’S LIFE IN NIGERIA by AKORGA MAMKPEGA CLEMENT, IKYUMEN PHILIP ORSAA

“…Used a representative sample, a multi-stage random sampling design was used in selecting the required sample for the study. …”
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Application of deep residual networks to predict the effective properties of fiber-reinforced composites with voids by Mahdi Karimian, Seyed Ali Hosseini Kordkheili

“…In order to generate mechanical properties and image data for learning, appropriate RVEs together with periodic boundary conditions are used in FEMs. Using a random algorithm in RVEs, voids and fiber with different diameters are generated; the resulted composites consist of void and fiber volume fractions in the range of 0.00–0.03 and 0.40–0.65, respectively. …”
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