23 Temmuz 2024 Dergi makalesi Açık Erişim

Gülmez, Burak

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        "affiliation": "Leiden University", 
        "name": "G\u00fclmez, Burak", 
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    "description": "<p>The coronavirus occurred in Wuhan (China) first and it was declared a global pandemic. To detect coronavirus X-ray images can be used. Convolutional neural networks (CNNs) are used commonly to detect illness from images. There can be lots of different alternative deep CNN models or architectures. To find the best architecture, hyper-parameter optimization can be used. In this study, the problem is modeled as a multi-objective optimization (MOO) problem. Objective functions are multi-class cross entropy, error ratio, and complexity of the CNN network. For the best solutions to the objective functions, multi-objective hyper-parameter optimization is made by NSGA-III, NSGA-II, R-NSGA-II, SMS-EMOA, MOEA/D, and proposed Swarm Genetic Algorithms (SGA). SGA is a swarm-based algorithm with a cross-over process. All six algorithms are run and give Pareto optimal solution sets. When the figures obtained from the algorithms are analyzed and algorithm hypervolume values are compared, SGA outperforms the NSGA-III, NSGA-II, R-NSGA-II, SMS-EMOA, and MOEA/D algorithms. It can be concluded that SGA is better than others for multi-objective hyper-parameter optimization algorithms for COVID-19 detection from X-ray images. Also, a sensitivity analysis has been made to understand the effect of the number of the parameters of CNN on model success.</p>", 
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      "title": "Soft Computing"
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    "publication_date": "2024-07-23", 
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      "G\u00fclmez, B. (2023). Stock price prediction with optimized deep LSTM network with artificial rabbits optimization algorithm. Expert Systems with Applications, 227, 120346.", 
      "G\u00fclmez, B. (2023). A novel deep neural network model based Xception and genetic algorithm for detection of COVID-19 from X-ray images. Annals of Operations Research, 328(1), 617-641.", 
      "G\u00fclmez, B. (2022). MonkeypoxHybridNet: A hybrid deep convolutional neural network model for monkeypox disease detection. International research in engineering sciences, 3, 49-64.", 
      "G\u00fclmez, B. (2023). A novel deep learning model with the Grey Wolf Optimization algorithm for cotton disease detection. Journal of Universal Computer Science, 29(6), 595.", 
      "G\u00fclmez, B., Emmerich, M., & Fan, Y. (2024). Multi-objective Optimization for Green Delivery Routing Problems with Flexible Time Windows. Applied Artificial Intelligence, 38(1), 2325302.", 
      "G\u00fclmez, B., & Kulluk, S. (2023). Analysis and price prediction of secondhand vehicles in T\u00fcrkiye with big data and machine learning techniques. Journal of the Faculty of Engineering and Architecture of Gazi University, 38(4), 2279-2290.", 
      "G\u00fclmez, B. (2023). Market zinciri \u00fcr\u00fcn da\u011f\u0131t\u0131m\u0131 probleminin farkl\u0131 genetik algoritma versiyonlar\u0131 ile \u00e7\u00f6z\u00fcm\u00fc ve kar\u015f\u0131la\u015ft\u0131rmas\u0131. Osmaniye Korkut Ata \u00dcniversitesi Fen Bilimleri Enstit\u00fcs\u00fc Dergisi, 6(1), 180-196.", 
      "G\u00fclmez, B., & Kulluk, S. (2019). Social spider algorithm for training artificial neural networks. International Journal of Business Analytics (IJBAN), 6(4), 32-49.", 
      "G\u00fclmez, B. (2022). Zaman serisi analizi ile talep tahmini ve bir fabrikadaki \u00fcretim planlama. M\u00fchendislik Alan\u0131nda Uluslararas\u0131 Ara\u015ft\u0131rmalar, 2, 57-74.", 
      "G\u00fclmez, B. (2024). Advancements in rice disease detection through convolutional neural networks: a comprehensive review. Heliyon.", 
      "G\u00fclmez, B. (2023). Optimizing and comparison of market chain product distribution problem with different genetic algorithm versions.", 
      "G\u00fclmez, B., & Kulluk, S. (2023). T\u00fcrkiye'de ikinci el ara\u00e7lar\u0131n b\u00fcy\u00fck veri ve makine \u00f6\u011frenme teknikleriyle analizi ve fiyat tahmini. Gazi \u00dcniversitesi M\u00fchendislik Mimarl\u0131k Fak\u00fcltesi Dergisi, 38(4), 2279-2290.", 
      "G\u00fclmez, B. (2023). Improved discrete queuing search algorithm for traveling salesman problem.", 
      "G\u00fclmez, B. (2022). Demand forecasting and production planning in a factory with time series analysis. International Research in Engineering Sciences, 2, 57-74."
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      "Teknik Bilimler > Bilgisayar Bilimleri"
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    "title": "A new multi-objective hyperparameter optimization algorithm for COVID-19 detection from x-ray images"
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