Türkçe Metinde Topluluk Öğrenme ve Genetik Algoritma Kombinasyonu Tabanlı Yazar Tahmini

Gullu, Merve; Polat, Hüseyin

doi:10.2339/politeknik.992493

Cited by 3 publications

(1 citation statement)

References 34 publications

(33 reference statements)

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“…GAs involves creating a population of possible solutions to a given problem. These solutions then crossover and mutate (as in genetics), creating new offspring, and this process repeats over several generations [13,14]. Each individual (or candidate solution) is assigned a fitness value (based on the objective function), and the fitter individuals are given the chance to mate and produce more "fit" individuals.…”

Section: Genetic Algorithm and Particle Swarm Optimizationmentioning

confidence: 99%

Genetic Algorithm and Particle Swarm Optimization Approach for Prediction of Physical Parameters of Rectangular-Shaped Microstrip Antenna

Seven

Can

2024

Politeknik Dergisi

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This study presents the results of two optimization algorithms for estimating the resonant frequency, bandwidth, feed point, and input impedance of a rectangular-shaped microstrip antenna. To minimize the design cost and design time, genetic algorithms and particle swarm optimization methods have been applied and compared. The antenna design parameters were considered by using a genetic algorithm (GA) and particle swarm optimization (PSO) is implemented in the MATLAB® environment. The calculation results were assimilated with other studies in the literature in terms of accuracy. The computational results of the optimized parameters are having a good agreement with the experimental results. The optimized antenna was modeled and verified by the analyses performed using the CST Studio Suite® software.

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Section: Genetic Algorithm and Particle Swarm Optimizationmentioning

confidence: 99%

Genetic Algorithm and Particle Swarm Optimization Approach for Prediction of Physical Parameters of Rectangular-Shaped Microstrip Antenna

Seven

Can

2024

Politeknik Dergisi

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A Dual Approach to Establishing the Authority of Technical Natural Language Texts and Their Components

Shynkarenko,

Demidovich,

Kuropiatnyk

2023

STP

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Purpose. The study is aimed at testing the hypothesis that it is possible to determine plagiarism by methods of establishing the authorship of a text without using a text bank and their direct comparison. Methodology. Constructive and productive models of the processes of establishing the authorship of technical texts for two methods have been developed. The first method is based on the formation of a text model in the form of a set of formal substitution rules with probabilistic weights (as in stochastic formal grammars), which reflects the syntactic features and patterns of text formation by the author. The degree of similarity between the text under study and another text is determined by comparing their models. The second method is a classical approach to detecting borrowings (plagiarism) by directly comparing the text under study with an existing text bank, highlighting repeated text fragments, and determining the degree of originality. Experiments were conducted to establish the correlation between the results of these two methods. The experimental base consisted of 509 text sections of theses of students majoring in «Software Engineering». Findings. Experimental studies have made it possible to establish a high correlation between the results of the two methods. Correlation coefficients in the range of 0.75...1.0 and with an average value of 0.88 were obtained provided that borrowings are taken into account for text fragments of at least five words in length. Originality. For the first time, the authors have identified the possibilities and proposed methods for indirect plagiarism detection without using a large text bank. The essence of the model is to formalize the representation of the author's sentence syntax by a set of substitution rules with probabilistic weights. Practical value. Based on the results obtained, the possibilities for detecting borrowings have been expanded and the effectiveness of the corresponding methods has been increased. Recommendations on the parameters of classical methods for detecting borrowings have been obtained, in particular, it is recommended to take into account text fragments of at least five words in length as a rational parameter when using borrowing detection systems. The possibilities of text authorship detection methods tested on fiction texts are extended to technical texts.

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Kalman Filtresi ve Küresel En Yakın Komşu Yöntemi ile Çok Kişili Gerçek Zamanlı Poz Takibi

HALICI

Demi̇rhan

2023

Politeknik Dergisi

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Pose estimation has emerged in order to detect pixel positions of keypoints on the human skeleton in images taken with the camera. The outputs of the pose estimation methods give the pixel values of all the articulation points detected in the image according to the person they associate with. In order to make sense of people's movements in videos, people need to be identified across successive frames. Thus, it can be determined when people make which movements during the video. In this study, the results of a multi-person exposure tracking method that is designed with the global nearest neighbor (GNN) algorithm using the Kalman filter based on constant velocity and constant acceleration motion models were examined. The effect of the developed preprocessing steps that increase the quality of the pose estimation methods on the pose tracking has also been determined. For this purpose, the performance of DCPose and OpenPose pose estimation methods on the PoseTrack dataset was evaluated. It was observed that the performance of the system increased for both methods with the preprocessing steps. When the results of OpenPose method, which can work in real time, a successful pose estimation method and have low resource consumption, and DCPose method, which gives the best results in the literature, are examined, it is seen that DCPose method gives better results in multi-person pose tracking. The results obtained with 550 different video increased the performance in constant velocity and constant acceleration motion models by 22.6% and 16.02% for bottom-up method OpenPose and 21.2% and 21.8% for top-down method DCPose when preprocessing steps were applied.

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Türkçe Metinde Topluluk Öğrenme ve Genetik Algoritma Kombinasyonu Tabanlı Yazar Tahmini

Cited by 3 publications

References 34 publications

Genetic Algorithm and Particle Swarm Optimization Approach for Prediction of Physical Parameters of Rectangular-Shaped Microstrip Antenna

Genetic Algorithm and Particle Swarm Optimization Approach for Prediction of Physical Parameters of Rectangular-Shaped Microstrip Antenna

A Dual Approach to Establishing the Authority of Technical Natural Language Texts and Their Components

Kalman Filtresi ve Küresel En Yakın Komşu Yöntemi ile Çok Kişili Gerçek Zamanlı Poz Takibi

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