Asymptotics for the product of normed maxima by Algimantas Pranas Aksomaitis, Robertas Vilkas

“… Asymptotical analysis for the product of normed maxima of random variables is presented. One particular case for samples of size N , having geometrical distribution, is discussed. …”
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Optimal allocation of means for trauma prevention using stochastic programming by Sigutė Vakrinienė, Petras Čyras

“…The problem is simulated as a matrix game with random elements. …”
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New tests for symmetry by Vytautas Maniušis

“… A new class of tests for symmetry of random variables is considered. This class is based on the empirical characteristic function. …”
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Features of Risks in the Information Technology Industry by D. A. Predko

“…In general terms, it is proposed to consider risks from the management of IT company, from random factors, from customer’s decision-maker, from customer’s employees, from the state, as well as marker risks.…”
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Move theorem of the short-cut statistic procedure by Darius Petronaitis, Algimantas Aksomaitis

“… The limit distribution functions are obtained for the extremes difference and extremes arithme­tic average with random indices under nonrandom normalization. …”
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Ensemble graph auto-encoders for clustering and link prediction by Chengxin Xie, Jingui Huang, Yongjiang Shi, Hui Pang, Liting Gao, Xiumei Wen

“…It utilizes the ensemble random walk graph auto-encoder, the random walk graph auto-encoder of the ensemble network, and the graph attention auto-encoder to generate three node embedding matrices Z. …”
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Generating the Flood Susceptibility Map for Istanbul with GIS-Based Machine Learning Algorithms by Zehra Koyuncu, Ömer Ekmekcioğlu

“…The class imbalance was tackled through the commonly used random under sampling (RUS) technique in order to create a fair comparison datum line. …”
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Machine Learning-Driven Scattering Efficiency Prediction in Passive Daytime Radiative Cooling by Changmin Shi, Jiayu Zheng, Ying Wang, Chenjie Gan, Liwen Zhang, Brian W. Sheldon

“…As a result, the random forest model demonstrated superior prediction performance with minimal error, effectively capturing complex, non-linear interactions between material features. …”
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A stacked ensemble approach with resampling techniques for highly effective fraud detection in imbalanced datasets by Idongesit E. Eteng, Udeze L. Chinedu, Ayei E. Ibor

“…Thus, we propose an ensemble approach that stacks five classifiers - Support Vector Machine, Decision Trees, Random Forests, Gaussian Na¨?ve Bayes, and k-Nearest Neighbour, and uses the Logistic Regression meta-classifier to make predictions based on a stacking algorithm and novel pipeline. …”
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Introduction to the New Copolymer of Chloroprene and Acrylonitrile with Differentiated Properties by Mousumi De Sarkar, Wataru Nishino, Yuhei Ishigaki, Takashi Sunada

“…The random copolymer of chloroprene and acrylonitrile is a newly developed rubber whose features and value propositions are not scientifically explored yet. …”
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Integrating Handcrafted Features with Machine Learning for Hate Speech Detection in Albanian Social Media by Fetahi Endrit, Hamiti Mentor, Susuri Arsim, Zenuni Xhemal, Ajdari Jaumin

“…We utilized several machine-learning algorithms, including Support Vector Machine (SVM), Naive Bayes (NB), Random Forest (RF), and Logistic Regression (LR), and extracted a considerable number of handcrafted features. …”
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Analysis of the Deployment Quality for Intrusion Detection in Wireless Sensor Networks by Noureddine Assad, Brahim Elbhiri, Moulay Ahmed Faqihi, Mohamed Ouadou, Driss Aboutajdine

“…The quality of deterministic sensor nodes deployment can be determined sufficiently by a rigorous analysis before the deployment. However, when random deployment is required, determining the deployment quality becomes challenging. …”
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Maxwellian Eye Fixation during Natural Scene Perception by Jean Duchesne, Vincent Bouvier, Julien Guillemé, Olivier A. Coubard

“…While the role of fixation eye movements in vision has been widely studied, their random nature has been a hitherto neglected issue. …”
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FMCW-based contactless heart rate monitoring by Zhanjun Hao, Yifei Gao, Yangyang Tang, Yue Wang, Kai Fan, Fenfang Li

“…The results show that this method can reduce the influence of and random body movements and respiration and harmonics on heart rate monitoring, the average absolute error of heart rate estimation is less than four bpm.…”
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Family Aggregation and Risk Factors for Breast Cancer in Affected Individuals by Julio Armando Sánchez Delgado, Nailé Edita Sánchez Lara

“…The sample, consisting of 47 cases and 141 controls, was obtained by simple random sampling. The variables were: personal and family history of oncological disease, age, menarche, age at menopause, contraceptive pill ingestion, first child age of birth, breastfeeding, alcohol intake, smoking, family history. …”
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Analysis of the structure and robustness of the global semiconductor trade network. by Long Li, Hua Wang, Zhiyi Li, Shaodong Hu

“…Fifth, the semiconductor trade network demonstrates robustness against random attacks but collapses quickly under targeted attacks. …”
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Short-Circuit Characteristic Analysis Model and Real-time Risk Assessment of Protection Considering Uncertainties of New Energy Output by LIANG Yuansheng, XU Zheng, LI Haifeng, WANG Gang, CHEN Haoyong, LI Jia

“…Based on Monte Carlo sampling， the probability of the adequacy of protection actions based on the random response surface method and its equivalent effect were verified. …”
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Entropy optimized nanomaterial flow with Soret and Dufour impacts by Tasawar Hayat, Aimen Tahir, Aneeta Razaq, Sohail A. Khan

“…Heat and mass transfer by convective conditions are studied. The aspects of random motion, thermophoresis and Soret and Dufour impacts are under consideration. …”
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Presenting the Model of the Current and Desirable State of the Family Economics Curriculum in the Second Level of High School in Iran by Seyed Ali Hosseini, Abbas Gholtash, Mokhtar Ranjbar

“…Experts were sampled using a simple random method, resulting in a sample size of 118 participants. …”
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Bidirectional recurrent neural network approach for predicting cervical cancer recurrence and survival by S. Geeitha, K. P. Rama Prabha, Jaehyuk Cho, Sathishkumar Veerappampalayam Easwaramoorthy

“…Random forest offers the maximum precision of these four techniques at 91.2%. …”
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