Performance Analysis of Diabetes Detection Using Machine Learning Classifiers by Hung Huynh, Liu Hui, Ngoc Han Nguyen, Ruixuan Qiao

“…Results have shown that Stochastic Gradient Descent (function), Logistic Regression (function), JRip (rules) and Random Forests (trees) are among the top performing classifiers. …”
Get full text

A Comparison Between the MEWMA and Mahalanobis Distance Control Chart by Kawa Rashid

“…However, when these observations include human judgments, assessments, and choices, a continuous random variable (xi) of a manufacturing process should be made up of the variable. …”
Get full text

Integrating the Finite Element Method with a Data-Driven Approach for Dam Displacement Prediction by Chenfei Shao, Chongshi Gu, Zhenzhu Meng, Yating Hu

“…It has a better prediction precision than the random coefficient model without the finite element method.…”
Get full text

Probabilistic Risk Assessment of Slope Failure in 3-D Spatially Variable Soils by Finite Element Method by Ya-Nan Ding, Zu-Fang Qi, Miao Hu, Jin-Zhu Mao, Xiao-Cheng Huang

“…Based on Monte Carlo simulation and the random field method, a quantitative risk evaluation method for slope failure considering the spatial variability of soil parameters is proposed in the study. …”
Get full text

Design and Implementation of Multiple Ring Oscillator-Based TRNG Architecture by Using ADPLL by Huirem Bharat Meitei, Manoj Kumar

“…A new technique for generating true random numbers by using the ADPLL (All Digital Phase Locked Loop)-based multiple ring oscillator TRNG (MURO-TRNG) is discussed in this paper. …”
Get full text

A Dynamic Framework for Community-Facility Siting with Inter-Community Competition by Sisi Zhu, Haoying Han, Anran Dai

“…Under this framework, the BOMSDM, along with three comparative frameworks derived from traditional models—including a random allocation non-incremental model, a random allocation incremental model, and an average allocation non-incremental model—was applied to a real-world scenario in Shaoxing. …”
Get full text

Secrecy Cognitive Gain of Cognitive Radio Sensor Networks with Primary Outage Constraint by Hongyu Ma, Kai Niu, Weiling Wu, Shengyu Li, Guangqian Chu

“…This paper studies the physical layer security issue for cognitive radio sensor networks (CRSNs) with primary outage constraint, for which a tractable framework is developed to analyze the secrecy performance for CRSNs related to the random channel characteristics, the spatial distributions of nodes, the nearest neighbour routing protocol, and the aggregate interference. …”
Get full text

Data-Driven Approach for Modeling the Nonlane-Based Mixed Traffic Conditions by Narayana Raju, Shriniwas S. Arkatkar, Said Easa, Gaurang Joshi

“…The results show that a deep learning model and k-NN tend to replicate better-mixed traffic conditions than random forest and regression trees.…”
Get full text

New Practical Attacks on GEA-1 Based on a New-Found Weakness by Zheng Wu, Lin Ding, Zhengting Li, Xinhai Wang, Ziyu Guan

“…That is the probability that two different inputs of GEA-1 generate the identical keystream can be up to 2−7.30, which is quite high compared with an ideal stream cipher that generates random sequences. Based on this newfound weakness, a new practical distinguishing attack on GEA-1 is proposed, which shows that the keystreams generated by GEA-1 are far from random and can be easily distinguished with a practical time cost. …”
Get full text

A Fully Automated Adjustment of Ensemble Methods in Machine Learning for Modeling Complex Real Estate Systems by José-Luis Alfaro-Navarro, Emilio L. Cano, Esteban Alfaro-Cortés, Noelia García, Matías Gámez, Beatriz Larraz

“…Real estate property prices in 433 municipalities are estimated from a sample of 790,631 dwellings, using different ensemble methods based on decision trees such as bagging, boosting, and random forest. The results for estimating the price of dwellings show a good performance of the techniques developed, in terms of the error measures, with the best results being achieved using the techniques of bagging and random forest.…”
Get full text

Reliability factors for steel elements designed on the basis of computer numerical models by V. V. Nadolski

“…Statistical characteristics of random variables and accuracy of the computer model are based on the systematization, analysis and generalization of existing studies.Results. …”
Get full text

SIMULATION STUDY AND STRENGTH VALIDATION OF PLANES’LOAD AT DIFFERENT POSITIONS OF COAL PLOUGH by ZHAO LiJuan, CHEN Lei, TIAN Zhen

“…In order to study the load characteristics,developing the coal plow load calculation program based on Matlab and VC,which can calculate the random load of planer at different positions according to the different simulating coal seam occurrence conditions; Planes at different positions were simulated and the strength verified based on ADAMS software. …”
Get full text

PPCM: Combing Multiple Classifiers to Improve Protein-Protein Interaction Prediction by Jianzhuang Yao, Hong Guo, Xiaohan Yang

“…This study established a robust pipeline for PPI prediction by integrating multiple classifiers using Random Forests algorithm. This pipeline will be useful for predicting PPI in nonmodel species.…”
Get full text

High-Frequency Workpiece Image Recognition Model Based on Hybrid Attention Mechanism by Jiaqi Deng, Chenglong Sun, Xin Liu, Gang Du, Liangzhong Jiang, Xu Yang

“…Initially, the high-frequency workpiece dataset is enhanced through geometric transformations, random noise, and random lighting adjustments to augment the model’s generalization capabilities. …”
Get full text

Obstacle Avoidance Path Planning for UAV Based on Improved RRT Algorithm by Fan Yang, Xi Fang, Fei Gao, Xianjin Zhou, Hao Li, Hongbin Jin, Yu Song

“…As a commonly used obstacle avoidance path planning algorithm, RRT (Rapid-exploration Random Tree) algorithm can carry out obstacle avoidance path planning in real time and online. …”
Get full text

Investigation of the Defect Effects on the Load-Carrying Capacity of Butt Joints: A Numerical Study by Hamza Taş

“…This work aims to examine the effects of the defect presence, defect volume fraction, defect position, and random distribution of defects at the adhesive layer on the durability of the butt joint. …”
Get full text

Toward prediction of entrepreneurial exit in Iran; a study based on GEM 2008-2019 data and approach of machine learning algorithms by Masoumeh Moterased, Seyed Mojtaba Sajadi, Ali Davari, Mohammad Reza Zali

“…This research applies the Random Forest Algorithm to get a prediction model that shows the entrepreneurial exit. …”
Get full text

Calibration of Low-cost Gas Sensors for Air Quality Monitoring by Dimitris Margaritis, Christos Keramydas, Ioannis Papachristos, Dimitra Lambropoulou

“…Three widely used calibration approaches were investigated, namely uni- and multi-variate linear regression analysis and the random forest algorithm. Two identical commercial AQMesh platforms (monitoring NO, NO2, O3, and SO2) were installed on a fixed municipal station for 4 consecutive weeks. …”
Get full text

Prediction of Outcomes in Sports Under Probability in Kigezi Region. by Masereka, Jairus

“…If these conditions are true, then k is a Poisson random variable, and the distribution of k is a Poisson distribution. …”
Get full text

The transfer theorems for density of extreme values by Arvydas Jokimaitis, Algimantas Aksomaitis

“… In this paper the transfer theorems for density of minima and maxima of independent identically distributed random variables is proved. …”
Get full text