Lightweight Models for Real-Time Steganalysis: A Comparison of MobileNet, ShuffleNet, and EfficientNet by Achmad Bauravindah, Dhomas Hatta Fudholi

“…ShuffleNet and EfficientNet performed at random-guessing levels with 50% accuracy, reflecting the challenges of steganalysis on mobile platforms. …”
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A certificateless aggregate signature scheme for security and privacy protection in VANET by Eko Fajar Cahyadi, Tzu-Wei Su, Chou-Chen Yang, Min-Shiang Hwang

“…The scheme is proven to be secure against the Type-1 ( A 1 ) and Type-2 ( A 2 ) adversaries in the random oracle model under the computational Diffie–Hellman problem assumption. …”
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Structural Equation Modeling Approach for explaining the relationship between city development plans and city branding from the viewpoint of tourists (Case Study: Birjand) by hamid fakhimzade, hadi sarvari, mohamadhadi mahdinia, mahdi mahmoodzade vashan

“…Accordingly, 19 subjects were selected from urban experts, and 381 tourists were chosen at the quantitative step using simple random sampling. findings obtained from interviews implied that some points should be considered for the city branding of Birjand. …”
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Artificial Intelligence-Assisted Machine Learning Methods for Forecasting Green Bond Index: A Comparative Analysis by Ahmed İhsan Şimşek, Yunus Emre Gür, Emre Bulut

“…To evaluate and compare the performance of the trained machine learning models (Random Forest, Linear Regression, Rational Quadratic Gaussian Process Regression (GPR), XGBoost, MLP, and Linear SVM), RMSE, MSE, MAE, MAPE, and R² were used as evaluation metrics and the best performing model was Rational Quadratic GPR. …”
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Securing fingerprint templates by enhanced minutiae‐based encoding scheme in Fuzzy Commitment by Shivangi Shukla, Sankita J. Patel

“…The biometric templates are never identical thereby, this approach allows fuzziness in minutiae points by incorporating Bose–Chaudhuri–Hocquenghem (BCH) codes for error‐correction and secures random codeword of the error‐correcting scheme as secret key by SHA‐256 hash mapping. …”
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Single‐step geolocation for a non‐circular source in the presence of satellite orbit perturbations by Jiexin Yin, Ding Wang, Fuquan Nie, Nae Zheng

“…The known satellite positions and velocities are subject to random errors. The authors propose a single‐step satellite geolocation algorithm that directly localises the transmitter from sensor outputs using the information of time delays and Doppler shifts but without explicitly estimating them. …”
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Simulation of structured populations in chemically stressed environments by Thomas G. Hallam, Qingping Deng

“…The population is assumed to be physiologically structured and composed of individuals having both sessile and mobile life history stages, who utilize energetically-controlled, resource-directed, chemical-avoidance advective movements and are subjected to random or density dependent diffusion. From a modeling perspective, the presence of a chemical in the environment requires introduction of both an exposure model and an effects module. …”
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POTENTIAL RISKS ASSOCIATED WITH MISMANAGEMENT OF HOSPITAL WASTEWATER IN TANZANIA by Shadrack Mwita Sabai

“…Sixteen wastewater samples were collected from two national and regional referral hospitals in Tanzania using random stratified sampling technique. Chemical and biological parameters where analyzed in the laboratory following the standard methods from APHA-AWWA-WEF (1998). …”
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Side channel leakage assessment with the Bartlett and multi-classes F-test by Yaru WANG, Ming TANG

“…In order to solve the problem that when test vector leakage assessment （TVLA） technology is used for side channel leakage detection， the mean difference between the two groups of power consumption samples （fixed plaintext and random plaintext） is small， and the t-test may miss detection and lead to false negative evaluation.The Bartlett and multi-classification F-test side channel leakage assessment method （Bartlett-F test） was proposed.In the Bartlett-F test， the Bartlett-test was used to the power samples with greater variance difference than mean difference to solve the problem of missing detection， and the multi-classification F-test was used to the power samples with greater mean difference than variance difference to solve the problem of false negative evaluation.In the test， there is leakage if the P-value is less than the threshold.The experimental results show that when the mean difference is less than the variance difference， the sample size required by Bartlett-test is 1.5×10⁴ when the P-value of Bartlett-test is less than the threshold， while the sample size required by t-test is larger.When the variance difference is less than the mean difference， the sample size required by t-test is 2.0×10² when the P-value of t-test is less than the threshold， while the sample size required by F-test is only 1/10 of t-test.Therefore， Bartlett-F test can solve the problems of TVLA technology in leak detection.…”
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Pre-Service Physical Education Teachers’ Acceptance of Mobile Learning Tools and Attitude Levels for Mobile Learning by Kıvanç Semiz, Ferhat Buyukkalkan

“…The purpose of this study was to examine the acceptance of mobile learning tools and mobile learning attitudes of physical education teacher candidates in Turkey. A random stratified sampling method was used. According to the findings of the research; Physical education teacher candidates' attitude levels towards mobile learning are seen to be relatively higher than their acceptance levels of mobile devices. …”
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Mesoscopic Finite Element Method of the Effective Thermal Conductivity of Concrete with Arbitrary Gradation by Pingming Huang, Yu Zhao, Yanwei Niu, Xiang Ren, Mingfeng Chang, Yamin Sun

“…The effective thermal conductivity (ETC) of concrete is the most important parameter in determining the temperature field and thermal stresses. A 2D random polygonal aggregate model and its modified model considering porosity were established in this paper in order to partially replace the experiment for parametric analysis on the ETC of concrete and to save the experiment cost. …”
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PROFILES AND PREFERENCES OF ON-LINE MILLENIAL SHOPPERS IN BULGARIA by Patricia R. Loubeau, Robert Jantzen, Elitsa Alexander

“…Further research employing stratified random sampling across Bulgaria is needed to assess whether the findings are broadly generalizable for the Gen Y population. …”
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Cross pattern hiding structured encryption for conjunctive queries by YANG Ziyi, MA Changshe, XIE Nanjiang

“…To address this issue, a transformed key encryption (TKE) scheme, based on random permutation and counter encryption modes was proposed. …”
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Impact of the teacher education curriculum on the development of 21st-Century skills: Pre-service teachers’ perceptions by Mensah Prince Osiesi, Sylvan Blignaut

“…The study population comprised all PTs in the education faculty. 411 PTs were selected via purposive and simple random sampling techniques. PTs' Perceived 21CS Development Questionnaire (r = 0.97) was used in collecting the study’s data, which were analysed using Hayes macro process in SPSS version 26.0. …”
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C-SHAP: A Hybrid Method for Fast and Efficient Interpretability by Golshid Ranjbaran, Diego Reforgiato Recupero, Chanchal K. Roy, Kevin A. Schneider

“…C-SHAP excels across various datasets and machine learning methods, matching SHAP’s accuracy in selected features while maintaining an accuracy of 0.73 for Random Forest with substantially faster performance. …”
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Therapeutic Adherence and Subjective Well-being in Patients with Type II Diabetes Mellitus by Ahmed José Pomares Avalos, Rocío Jorge González, Yuslemi Alfonso Trujillo, Marian Amanda Vázquez Núñez

“…<br /><strong>Methods:</strong> it was conducted a descriptive, cross-sectional study of patients with diabetes mellitus type II, from the Cecilio Ruíz de Zarate health area, Cienfuegos province, in the period from April to May 2018. Simple random sampling was used, with a sample of 30 patients. …”
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Unveiling The Dynamics of Internal and External Management on Public Satisfaction: Insights from Public Service Malls by M. Hidayat Panuntun Muslim, Dasman Lanin, Aldri Frinaldi, Muhamad Ali Embi, Boni Saputra

“…Using the Slovin formula to calculate the sample size, 209 respondents were used in the proportional stratified random sampling procedure to obtain the sample size. …”
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PREDICTING RURAL STEM TEACHERS’ ACCEPTANCE OF MOBILE LEARNING IN THE FOURTH INDUSTRIAL REVOLUTION by David Mutambara, Anass Bayaga

“…This study proposes a model, which extends the Technology Acceptance Model by introducing perceived social influence and perceived resources. Stratified random sampling was used to select 150 teachers to participate in the survey. …”
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A Prediction Model Optimization Critiques through Centroid Clustering by Reducing the Sample Size, Integrating Statistical and Machine Learning Techniques for Wheat Productivity by Muhammad Islam, Farrukh Shehzad

“…This research is taken as follows: firstly three more effective numerical optimized datasets are generated (D1, D2, and D3) from D1 by taking the centroid points of features which decrease the sample size; secondly MLM is integrated with the traditional statistical models (TSMs) for multiple linear regression (MLR), and thirdly decision tree regression (DTR) and random forest regression (RFR) are deployed to get the optimized models able to predict the wheat productivity well with 75% datasets to train and 25% to test the model using the evaluation metrics (R2, RMSE), information criterion (AIC) with weights (AICW), evidence ration (E.R), and decompositions of prediction error. …”
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Multiobjective Electric Vehicle Charging Network Planning Considering Chance-Constraint on the Travel Distance for Charging by Yunxiang Guo, Xinsong Zhang, Daxiang Li, Chenghong Gu, Cheng Lu, Ting Ji, Yue Wang

“…., minimizing both average travel distance for charging (TDfC) of EVs and investment costs of EVCN. According to the random characteristics of EVs’ TDfC, its constraint is presented as a chance constraint in the developed EVCN planning model. …”
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