First order algorithms for computing linear and polyhedral estimates by Bekri, Yannis, Juditsky, Anatoli, Nemirovski, Arkadi

“…However, design of nearly optimal estimates relies upon solving semidefinite optimization problems with matrix variables, what puts the synthesis of such estimates beyond the reach of the standard Interior Point algorithms of semidefinite optimization even for moderate size recovery problems. …”
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Segmentation of Brain Tumor Images Using Genetic Algorithms by Mohameed Nathem, Manar Kashmola, Dhuha Abdullah

“…In both approaches tumor location was determined approximately, as a result the genetic algorithm was succeeded in about 85% while the first algorithm determine 80% of tumor locations.…”
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Using machine learning algorithms to predict colorectal polyps by Xingjian Xiao, Shiyou Liu, Kubra Maqsood, Xiaohan Yi, Guoqun Xie, Hailei Zhao, Bo Sun, Jianying Mao, Xianglong Xu

“…In our study, the AUC of Random Forest and eXtreme Gradient Boosting reached 0.71, Adaptive Boosting Machine, Gradient Boosting Machine and Light Gradient Boosting Machine reached 0.7 in predicting the occurrence of colorectal cancer. …”
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Using machine learning algorithms to predict colorectal cancer by Xingjian Xiao, Bo Hong, Kubra Maqsood, Xiaohan Yi, Guoqun Xie, Hailei Zhao, Bo Sun, Jianying Mao, Shiyou Liu, Xianglong Xu

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Sliding mode control of electronic mechanical braking system based on new power exponential by CHANG Jiujian, WANG Wenlong, ZHANG Yajie

“…Given the fluctuations of braking torque and pressure caused by the thickness difference, mechanical interference and end face jumping of the brake disc in the rail trains' electronic mechanical braking system, a force closed-loop sliding mode control algorithm features stronger robustness than traditional PI algorithm was constructed. …”
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Black Hole Algorithm for Software Requirements Prioritization by Norah Ibrahim Alfassam, M. Abdullah-Al-Wadud, Mubarak Rashed Alrashoud

“…Furthermore, the proposed BHA-based solution was evaluated on three real-world datasets (RALIC, Word, and ReleasePlanner), and its performance was compared with that of multiple state-of-the-art algorithms, including Ant Colony Optimization (ACO), Genetic Algorithm (GA), Grey Wolf Optimizer (GWO), Particle Swarm Optimization (PSO), Fitness Dependent Optimizer (FDO), Goose Algorithm (GAO), and Lagrange Elementary Optimization (LEO). …”
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Using the Backpropagation Algorithm to Distinguish Arabic Alphabet by Samyia Khalid Hasan

“…The first case is inputting the image of the letter into the grid and the second case is identifying the letter that represents the letter drawn in the image. And it was reached that the algorithm used for the network of nervousness to recognize the Arabic alphabet and then show it correctly. …”
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Prediction of Hypertension Patients with Machine Learning Algorithm by Eko Priyono

“…Worldwide, the prevalence of hypertension reaches approximately 30%, with only 50% of cases being diagnosed and a low level of treatment adherence. …”
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An effective and efficient hierarchical -means clustering algorithm by Jianpeng Qi, Yanwei Yu, Lihong Wang, Jinglei Liu, Yingjie Wang

“…Experiments performed on real UCI and synthetic datasets verify the efficiency and effectiveness of our proposed algorithm.…”
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RACE ALGORITHM: ONLINE-MARKETING MODEL PLATFORM by Inessa Penkova, Irina Glazkova

“…The distinctive key elements of the RACE algorithm can be covered with its progressive implementation, which includes Reach, Act, Convert and Engage. …”
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Algorithm of fire detection for multi-sensor system by R. A. Bagutdinov, M. F. Stepanov

“…In addition to the software implementation in C, which NI Vision Assistant generates by default, the paper presents a Python implementation of the algorithm.Conclusion. The results of the work can be used to develop multisensor systems for monitoring hard-to-reach areas.…”
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Distributional Fractal Creating Algorithm in Parallel Environment by Shuai Liu, Weina Fu, Huimin Deng, Caihe Lan, Jiantao Zhou

“…Then, its creating time becomes an important study area for complex iteration functions because the escape-time algorithm (ETA), which is the most used algorithm in fractal creating, performs not so well in this condition. …”
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Research on data transmission based on DDPG algorithm by Yan Danting, Jiao Xinquan

“…In order to improve bandwidth utilization and reduce network delay, an improved Deep Deterministic Policy Gradient (DDPG) algorithm is added for congestion control. The experimental test results demonstrate that the algorithm presented in this paper can markedly reduce network latency. …”
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A Penalization-Gradient Algorithm for Variational Inequalities by Abdellatif Moudafi, Eman Al-Shemas

“…This paper is concerned with the study of a penalization-gradient algorithm for solving variational inequalities, namely, find x̅∈C such that 〈Ax̅,y-x̅〉≥0 for all y∈C, where A:H→H is a single-valued operator, C is a closed convex set of a real Hilbert space H. …”
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Mathematical algorithm for the automatic recognition of intestinal parasites. by Alicia Alva, Carla Cangalaya, Miguel Quiliano, Casey Krebs, Robert H Gilman, Patricia Sheen, Mirko Zimic

“…The principal result showed that our algorithm reached sensitivities between 99.10%-100% and specificities between 98.13%- 98.38% to detect each parasite separately. …”
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Prediction of high-risk pregnancy based on machine learning algorithms by Xinyu Pi, Junzhi Wang, Liangliang Chu, Guochun Zhang, Wenli Zhang

“…Abstract This study explores the application of machine learning algorithms in predicting high-risk pregnancy among expectant mothers, aiming to construct an efficient predictive model to improve maternal health management. …”
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User preference information recommendation based on DCGNN and GNNPK algorithms by Nannan Cheng, Xiaoyang He

“…The highest recommended coverage rate could reach 93.4 %, the lowest resource consumption rate could reach 18.7 %, and the highest user satisfaction rate was 95.6 %. …”
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Lightweight detection algorithms for small targets on unmanned mining trucks by Shuoqi CHENG, Yilihamu·YAERMAIMAITI, Lirong XIE, Xiyu LI, Ying MA

“…And the FPS reaches 92.9, meeting the real-time requirements. …”
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Performance Analysis of Machine Learning Algorithms in Intrusion Detection Systems by Mustafa İlbaş, Yusuf Sönmez, Fethi Mustafa Çimen

“…Consequently, it has been reached that the KNN algorithm had the best performance with an accuracy rate of 98.1237 %. …”
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Decision-Making Support for the Evaluation of Clustering Algorithms Based on MCDM by Wenshuai Wu, Zeshui Xu, Gang Kou, Yong Shi

“…The results indicate our developed model is an effective tool for selecting the most appropriate clustering algorithms for given data sets. Furthermore, our proposed model can reconcile different or even conflicting evaluation performance to reach a group agreement in a complex decision-making environment.…”
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