parametric optimization
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2022 ◽  
Vol 227 ◽  
pp. 107118
Author(s):  
Saqr A.A. Al-Muraisy ◽  
Lais Americo Soares ◽  
Srirat Chuayboon ◽  
Shahrul Bin Ismail ◽  
Stéphane Abanades ◽  
...  

Computers ◽  
2022 ◽  
Vol 11 (1) ◽  
pp. 10
Author(s):  
Dillip Ranjan Nayak ◽  
Neelamadhab Padhy ◽  
Pradeep Kumar Mallick ◽  
Dilip Kumar Bagal ◽  
Sachin Kumar

Deep learning has surged in popularity in recent years, notably in the domains of medical image processing, medical image analysis, and bioinformatics. In this study, we offer a completely autonomous brain tumour segmentation approach based on deep neural networks (DNNs). We describe a unique CNN architecture which varies from those usually used in computer vision. The classification of tumour cells is very difficult due to their heterogeneous nature. From a visual learning and brain tumour recognition point of view, a convolutional neural network (CNN) is the most extensively used machine learning algorithm. This paper presents a CNN model along with parametric optimization approaches for analysing brain tumour magnetic resonance images. The accuracy percentage in the simulation of the above-mentioned model is exactly 100% throughout the nine runs, i.e., Taguchi’s L9 design of experiment. This comparative analysis of all three algorithms will pique the interest of readers who are interested in applying these techniques to a variety of technical and medical challenges. In this work, the authors have tuned the parameters of the convolutional neural network approach, which is applied to the dataset of Brain MRIs to detect any portion of a tumour, through new advanced optimization techniques, i.e., SFOA, FBIA and MGA.


2022 ◽  
Author(s):  
Jonathan Weaver-Rosen ◽  
Ying-Kuan Tsai ◽  
Justin Schoppe ◽  
Yutaka Terada ◽  
Richard Malak ◽  
...  

2022 ◽  
Vol 306 ◽  
pp. 118040
Author(s):  
Heng Zhang ◽  
Shenxi Zhang ◽  
Xiao Hu ◽  
Haozhong Cheng ◽  
Qingfa Gu ◽  
...  

2021 ◽  
pp. 581-586
Author(s):  
Volodymyr Samotyy ◽  
Ulyana Dzelendzyak ◽  
Andriy Pavelchak

The evolutionary model of voltage multiplier parametric optimization which includes 5 diodes and 5 capacitors is reviewed. It executes the transformation of alternating into constant voltage using a five times larger amplitude. The valve work is modelled according to the scheme of an ideal key. The original mathematical model of voltage multiplier which includes additional logical variables is deducted. It aссepts binary meanings 0 and 1, where 0 corresponds to closed valve status and 1 corresponds to open. In order to receive such a model, it is necessary to indicate the amount of open and closed valve combinations. Then for each of them, it is necessary to write the system of differential equations. Comparing them with each other the single differential equation system with additional logical variables is written as a generalization. The evolutional model is used in order to select the capacitor volume meaning. The goal function forecasts two conditions: maximum meaning of output voltage 1 kV and its minimal fluctuations in the stable regime.


Author(s):  
Shaikh Juned

Abstract: This review paper focus on Parametric optimization in Metal inert gas welding by using MOORAS method. MIG is arc welding process. Parameters optimization can be done by Multi-objective optimization on basis of ratio analysis and analytical Heriachy process. Ranking of alternatives determine by attributes weight or related importance given between attributes and on the values of the selected attributes,MOORA method is very fast and robust. It needs minimum Mathematical calculations and calculations time. Review paper endeavor process to illustrate problem by MOORAS method.


Author(s):  
Vladimir Matusevich ◽  
Jurij Sharaban ◽  
Aleksandr Shehov

The mathematical model of estimation of a design mass of the closed planetary mechanism formed from two simple planetary mechanisms of James (mechanism of type ), taking into account their structural diagrams and design constraints, determined by the conditions of contact and bending strengths of external gearing of sun gears and satellites, is offered. A model is a dimensionless function (analogue of mass) of two variables – transmission relations of simple planetary mechanisms, and set of numerical parameters. As parameters of analogue of mass coefficients are chosen, characterizing the models of mass of gear wheels and carriers, structural and strength limitations of the external gearing of simple planetary mechanisms of the type , and also structure of these mechanisms. In the program Mathcad differential properties of the offered model and influence on position of minimum of analogue of mass are investigational depending on the numerical values of his parameters. Documents of the Mathcad program are presented that implement computer modeling of algorithms for parametric optimization of mass closed planetary mechanism, where the function of the analogue of the mass of the given mechanism is used as the objective function. A comparative analysis of minimizing the design mass of two kinematic schemes of planetary mechanisms is considered – closed planetary mechanism and in-line planetary of the type . Keywords: simple planetary mechanism of James, simple planetary mechanism type ; closed planetary mechanism; in-line planetary mechanism; mass of closed planetary mechanism; contact strength of gearing; bending strength of gearing; parametric optimization; parametric optimization of mass of planetary mechanism


2021 ◽  
Vol 28 (3) ◽  
pp. 392-398
Author(s):  
Galina Shaidurova ◽  
Oleg Milman ◽  
Aleksey Kiryukhin ◽  
Aleksandr Shaidurov

Thin-layer rubber-metal elements have been widely used in various fields of technology, including helicopter construction, support parts for bridges, shock absorbers in industrial and civil construction. Their work reliability is determined by the design and technological performance features, which require experimental testing and parametric optimization. The article presents the samples and basic models testing results which were aimed at increasing the strength indicators stability of the adhesive ``rubber-metal'' joints and ensuring the failure-free operation of a rubber-metal product in the structure of a pipeline vibration-isolating compensator.


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