عنوان فارسی مقاله:
تجزیه و تحلیل ترمودینامیکی چرخه ترکیبی خنک کننده و قدرت رانده بر اساس کالینا توسط منبع حرارتی درجه پایین
عنوان انگلیسی مقاله:
Thermodynamic analysis of a Kalina-based combined cooling and power cycle driven by low-grade heat source
سال انتشار : 2017
عنوان فارسی مقاله:
پیش بینی موقعیت نسبی برشCT با استفاده از سیستم هوش محاسباتی
عنوان انگلیسی مقاله:
Prediction of relative position of CT slices using a computational intelligence system
سال انتشار : 2015
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بخشی از مقاله انگلیسی :
The field of evolutionary computation is devoted to the developmentof search and optimization algorithms based on the coreprinciples of Neo-Darwinian evolutionary theory [11]. Evolutionaryalgorithms are population-based meta-heuristics, where candidatesolutions are stochastically selected and modified to produce new,and possibly better, solutions for a particular problem. In particular,in standard GP each individual is encoded using a tree structure,also known as a program tree, which can express a simple computerprogram, function, or operator [12]. Individual trees are built usingelements from two finite sets, internal nodes contain basic functionsfrom a Function set F, and leaves contain the input variablesof the program, taken from a Terminal set T. The basic GP algorithm,like every evolutionary algorithm, consists of the basic loopdepicted in Fig. 1. First, a random population of solutions (programtrees) are generated; then each individual is evaluated based on afitness or objective function; afterwards, individuals are selectedbased on their fitness scores; and finally, genetic operators (orsearch operators) are used to generate new candidate solutions,these are subtree mutation and subtree crossover as defined by[12]. The process terminates when a user defined stopping criterionis met, such as a maximum number of iterations (generations) orwhen the system has converged to a predefined fitness value. Thealgorithm then returns the solution (program tree) with the bestfitness value. Hereafter, we will refer to this algorithm as standardGP (STGP) [12].In the last few years, a rising topic in the field of GP has beenthe use of semantic methods [13]. These methods provide a way ofexploring the input–output behavior of programs, which is ultimatelywhat matters for problem solving. Semantics is usuallydefined as the vector of outputs obtained after the evaluation ofa GP individual on a set of fitness cases (training set). The topic ofsemantics contrasts with most previous work in GP, where geneticoperators work on the syntax of the individuals to transform theprogram code, while the effect on program output is indirect. Anyway,as discussed in [13], some existing semantic methods are alsoindirect, in the sense that they create new individuals using traditionalsyntax-based operators and, as a second step, accept thenewly created individuals if and only if some semantic criterion issatisfied. The introduction of a direct method has been proposedin [14], where the authors defined geometric semantic operators(GSOs) for GP. The objective of GSOs is to define modifications onthe syntax of GP individuals that have a precise correspondence ontheir semantics.
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کلمات کلیدی:
Medical Image Computing and Computer-Assisted Intervention - MICCAI ...https://books.google.com/books?isbn=364223626XGabor Fichtinger, Anne Martel, Terry Peters - 2011 - ComputersTherefore, the position of the organs which impact the attenuation of photons ... There, the learned function predicts the relative position, scale and orientation of the LV ... To detect and localize the heart chambers in 3D cardiac CT, Zheng et al.[PDF]Position Prediction in CT Volume Scans - DBSwww.dbs.ifi.lmu.de/Publikationen/Papers/ICML11-Global-Challenges.pdfby F Graf - 2011 - Cited by 5 - Related articlesPosition Prediction in CT Volume Scans ... and interpolation to create a relative coordinate sys- tem. ... mapping of the slice positions to a reference scale by.Predicting the Relative Efficacy of Verbal, Pictorial, and Tangible ...https://www.ncbi.nlm.nih.gov › NCBI › Literature › PubMed Central (PMC)by CT Cecile de Vries - 2005 - Cited by 38 - Related articlesPredicting the Relative Efficacy of Verbal, Pictorial, and Tangible Stimuli for ... yellow can and a red box are presented in random left–right positions across trials.Image-Guided and Adaptive Radiation Therapyhttps://books.google.com/books?isbn=1469801876Robert D. Timmerman, Lei Xing - 2012 - MedicalThis assumption that the marker position based on CT simulation is the same as during ... This will lead to an error in the relative position of the tumor to the marker. ... Tumor regression is challenging to predict, and there are few methods ...Technologies for Medical Sciences - Page 214 - Google Books Resulthttps://books.google.com/books?isbn=9400740689Renato Natal Jorge, Joao Tavares, Marcos Pinotti Barbosa - 2012 - Technology & EngineeringIn the case of diabetic patients, one can predict the areas where ulcers will ... it has become recent practice to use CT images to obtain 3D computer body models. ... to foot relative position being quite different from adequate positioning for gait ...Image-Guided Radiation Therapy - Page 212 - Google Books Resulthttps://books.google.com/books?isbn=1439802734J. Daniel Bourland - 2012 - MedicalRegistration of the liver (yellow) between noncontrast CT (left) and MR (middle) ... evaluation of target location relative to the machine isocenter and the position of normal ... Formal dose accumulation may improve the prediction of response, ...Searches related to Prediction of relative position of CTuci machine learningconnecticut
