The flying foxes optimization(FFO)algorithm,as a newly introduced metaheuristic algorithm,is inspired by the survival tactics of flying foxes in heat wave *** preferentially selects the best-performing *** tendency wi...
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The flying foxes optimization(FFO)algorithm,as a newly introduced metaheuristic algorithm,is inspired by the survival tactics of flying foxes in heat wave *** preferentially selects the best-performing *** tendency will cause the newly generated solution to remain closely tied to the candidate optimal in the search *** address this issue,the paper introduces an opposition-based learning-based search mechanism for FFO algorithm(IFFO).Firstly,this paper introduces niching techniques to improve the survival list method,which not only focuses on the adaptability of individuals but also considers the population’s crowding degree to enhance the global search ***,an initialization strategy of opposition-based learning is used to perturb the initial population and elevate its ***,to verify the superiority of the improved search mechanism,IFFO,FFO and the cutting-edge metaheuristic algorithms are compared and analyzed using a set of test *** results prove that compared with other algorithms,IFFO is characterized by its rapid convergence,precise results and robust stability.
State elimination has been proposed in the literature as a viable technique for transforming finite state automata (or finite state machines) into equivalent regular expressions. In this TTC case, we consider this wel...
Requirements verification for complex software system has become more and more important in requirements engineering and it is one of the most helpful strategies for improving the quality of software system. Related w...
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Object-oriented software development is a subject area difficult to teach, especially to beginners. They face a lot of abstraction and (from a beginners point of view) isolated topics, such as the syntax and semantics...
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In this paper we have performed a systematic review of studies related to the mental states of people engaged in software development, particularly programmers. This review underscores consensus relating to some more ...
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Unemployment is a huge problem around the world because a lack of job opportunities. People are unable to find the job opportunities according to their preferences and qualifications. As a solution for this, many coun...
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Feature modeling is the primary technology to capture and document the commonalities and variability among all of the members in a product line. Individual products are customized by selecting features according to th...
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In this paper, a method for assessment of the ovarian follicle growth is presented. 3D ultrasound volumes of ovaries are processed. Ovarian follicles are shown as hypoechogenic areas in the cross-section images. In fi...
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ISBN:
(纸本)9789896740184
In this paper, a method for assessment of the ovarian follicle growth is presented. 3D ultrasound volumes of ovaries are processed. Ovarian follicles are shown as hypoechogenic areas in the cross-section images. In first phase, global translations and rotations of two observed follicle constellations from two consecutive ovary examinations are detected. In second phase, detailed local deformations are estimated using elastic registration. The proposed method has been tested using artificial simulated models of ultrasound images of ovaries. Preliminary results shows the proposed method is efficient and reliably detects deformations ovarian follicles cause by their growth.
Nowadays Wearable sensor-based Human Activity Recognition (HAR) is gaining popularity for its affordability and low computational demands. These sensors are widely used in healthcare and surveillance. However, using s...
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Due to the rapidly increasing package software products, the quality certification has been required for software products. When certifying software products, one of the most important factors considered is the select...
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