A synthesis method for zero-sum mean-payoff asynchronous probabilistic games by Wei Zhao, Wanwei Liu, Zhiming Liu, Tiexin Wang

“…Next, two symbolic algorithms running in polynomial time are proposed to calculate the expected mean payoffs, and both algorithms adopt uniform random strategies. …”
Get full text

Vibration Signal Forecasting on Rotating Machinery by means of Signal Decomposition and Neurofuzzy Modeling by Daniel Zurita-Millán, Miguel Delgado-Prieto, Juan José Saucedo-Dorantes, Jesus Adolfo Cariño-Corrales, Roque A. Osornio-Rios, Juan Antonio Ortega-Redondo, Rene de J. Romero-Troncoso

“…The model tuning is performed by means of Genetic Algorithms along with a correlation based interval selection procedure. …”
Get full text

Self-Stabilization of Grid-Connected Inverters by Means of an Impedance-Based Adaptive Controller by Joel Filipe Guerreiro, Tiago Davi Curi Busarello, Hildo Guillardi, Igor Alves Maronni, Jose De A. Olimpio Filho, Helmo K. Morales Paredes, Jose A. Pomilio

Get full text

kMetha-Mamba: K-means clustering mamba for methane plumes segmentation by Yuquan Liu, Hailiang Shi, Ke Cao, Shichao Wu, Hanhan Ye, Xianhua Wang, Erchang Sun, Yunfei Han, Wei Xiong

“…However, traditional k-means clustering algorithms are susceptible to the influence of outliers. …”
Get full text

The Effect of Trade Liberalization on the Growth of Green GDP in Iran Using Gravitational Search Algorithm and the Algorithm Firefly by nahid pourfereidooni, hosein akbarifard, amin Amin Ghaseminezhad

“…In this study, to evaluate the impact of trade liberalization on green GDP, methods gravitational search algorithm and Firefly algorithm that has been used for some given time in the years 1961- 2015. …”
Get full text

An Inverse Modeling Multi-Objective Optimization Technique Based on Incremental Learning and Fuzzy Clustering by Gadallah Mohamed Abd Elaziz, Yasmine Abouelseoud, Sara H. Kamel

Subjects: “…Evolutionary algorithm…”
Get full text

A Study on the Vehicle Routing Planning Method for Fresh Food Distribution by Yuxuan Wang, Yajun Wang, Junyu Leng

Subjects: Get full text

An Information Granulated Based SVM Approach for Anomaly Detection of Main Transformers in Nuclear Power Plants by Wenmin Yu, Ren Yu, Cheng Li

“…A condition prediction method based on the online support vector machine (SVM) regression model is proposed, with the input data being preprocessed using the information granulation method, and the parameters of the model are optimized using the particle swarm optimization (PSO) algorithm. Using DGA data from the NPP data acquisition system, two experiments are designed to verify the trend tracing and prediction envelope ability of main transformers installed in NPPs with different operating ages of the proposed model. …”
Get full text

Dynamic Characteristic Optimization of Main Valve in Eight-Speed Auto Transmission Hydraulic Control System by An Y, Liu QH, Gao S

“…In the main pressure regulating circuit, the effect of each structural parameter on the system performance is analyzed by solving the dynamic equations. …”
Get full text

Research on the Main and Auxiliary Traction System of Large-size Mine Electric-wheel Dump Truck by HU Xian, ZHANG Bangfu, MEI Wenqing, ZHOU Zhiyu

“…In the vehicle traction control system, the main traction system adopts high performance direct torque control algorithm to drive two 960 kW induction motors. …”
Get full text

The Value of Subclinical Carotid Atherosclerosis for Primary Prevention of Cardiovascular Diseases. Review of the Main International Studies by E. K. Butina, E. V. Bochkareva

“…Carotid ultrasound is the main noninvasive method of vascular assessment. It allows assessing the intima-media thickness (IMT) and detecting the presence, location and morphology of atherosclerotic plaques (ASP), in other words, subclinical signs of atherosclerosis. …”
Get full text

Mathematical support for solving the direct problem of chemical kinetics to clarify the main patterns of pollutant emissions by Terekhov Aleksandr, Huaman de los Eros Federico, Ziganshina Fayruza, Mavlyutova Svetlana, Bespalov Ilya, Galimov Aydar

“…Determination of kinetic parameters and obtaining the dependence of concentrations of substances on time is the main stage in the construction of a kinetic model. …”
Get full text

Comparison of Doubling the Size of Image Algorithms by S. E. Vaganov, S. I. Khashin

“…For each method of upscaling to twice optimal coefficients of kernel convolutions for different down-scale to twice algorithms were found. Various methods for reducing the image size by half were considered the mean value over 4 nearest points and the weighted value of 16 nearest points with optimal coefficients. …”
Get full text

A Comprehensive Review of the Main Heavyweight and Lightweight SDLC for Big Data Analytics Systems (BDAS) by David Alejandro Montoya-Murillo, Sergio Galvan-Cruz, Manuel Mora, Estela Lizbeth Munoz Andrade

“…However, despite the advanced technological progress – i.e. on BDAS algorithms, languages and platforms-, their development has been mainly through uncomplete ad-hoc or old rigorous heavyweight System Development Life Cycles (SDLC). …”
Get full text

The Emerging Role of Computed Tomography Coronary Angiography in the Left Main Stem Percutaneous Coronary Intervention by Asad Shabbir, Abdelrahman Attia, Nikkole Marie Weber, Mustafa Alhassan, Monika Radike, Conor M Lane, Apurva Bhavana Challa, Malgorzata Wamil

“…Beyond its utility in diagnosing CAD, CTCA has become instrumental in procedural planning for percutaneous coronary intervention (PCI), particularly in complex cases such as left main stem (LMS) interventions, where peri-procedural risks are elevated. …”
Get full text

Fault diagnosis method of mine hoist main bearing with small sample based on VAE-WGAN by Fan JIANG, Hongyan SONG, Xi SHEN, Zhencai ZHU, Shuman CHENG

“…Furthermore, a fault diagnosis method based on CBAM-MobileNetV2 is proposed to achieve fault diagnosis of mine hoist main bearings under small sample data. At the algorithmic level, the Wasserstein distance metric is introduced to solve the problem of vanishing training gradients in generative adversarial networks. …”
Get full text

Algorithm of surgical treatment of postoperative peritonitis by I. M. Shevchuk, M. M. Droniak, V. M. Droniak

“…To improve the results of surgical treatment in patients with postoperative peritonitis, using the certain algorithm proposed. Materials and methods. Prospective investigation was conducted on 244 patients, suffering postoperative peritonitis (the main group). …”
Get full text

Optimization Algorithm for Selecting Compressible Data by E. V. Mozhenkova, T. O. Titovets, A. I. Paramonov

“…This can significantly reduce the use of computing power. The main performance characteristics of the described algorithm are determined.…”
Get full text

Technologies and Algorithms for Building the Augmented Reality by I. A. Blagoveshchenskiy, N. A. Demyankov

“…In order to analyze video stream and recognize known objects in it, algorithms of the Computer Vision are used. The authors give a short description and the main characteristics only of two of them: genetic algorithms and feature detection & description. …”
Get full text

Improved PESA algorithm based on comentropy by Kun WANG, Lin-lin WANG, Yan LIU, Yu-hua ZHANG, Meng WU

“…Aiming at the issue that the computational effort the complexity and the running time of PESA algorithm are increasing rapidly with the growth of the solutions set number, a comentropy-based PESA algorithm (C-PESA) by merg-ing the entropy value metric into PESA algorithm was proposed. …”
Get full text