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Toplam kayıt 20, listelenen: 11-20
Öznitelik Seçimi İçin Çoklu-Ebeveyn Çaprazlama Operatörlerinin Karşılaştırılması
(Institute of Electrical and Electronics Engineers Inc., 2022)
Genetic algorithms (GA) are mostly used for
feature selection in literature. In this study, multi-parent
crossover operators are used in genetic algorithms for feature
selection. The uniform crossover, occurrence-based ...
DeepCAN: A Modular Deep Learning System for Automated Cell Counting and Viability Analysis
(IEEE, 2022)
Precise and quick monitoring of key cytometric features such as cell count, cell size, cell morphology,
and DNA content is crucial for applications in biotechnology, medical sciences, and cell culture research. Traditionally, ...
Karşıt Tabanlı İkili Parçacık Sürü Optimizasyonu Algoritması ile Öznitelik Seçimi
(IEEE, 2022)
Bu çalışmada öznitelik seçimi probleminin
çözümü için meta-sezgisel algoritmalardan İkili Parçacık Sürü
Optimizasyonu algoritmasının Karşıt Tabanlı Öğrenme
yöntemi ile kullanıldığı yeni yaklaşım önerilmiştir. Karşıt
Tabanlı ...
Empirical Comparison of Heuristic Optimisation Methods for Automated Car Setup
(Sprınger, 2022)
Tuning a race car to improve its performance by adopting an effective
setup is crucial and an extremely challenging task. The Open Racing Car Simulator,
referred to as TORCS, is a well-known simulator in which a race car ...
Neural Architecture Search Using Metaheuristics for Automated Cell Segmentation
(Springer, 2023)
Deep neural networks give successful results for segmentation of medical images. The need for optimizing many hyper-parameters
presents itself as a significant limitation hampering the effectiveness of
deep neural network ...
BaDENAS: Retina Damar Segmentasyonu için Bayes Tabanlı Sinir Mimarisi Arama
(IEEE, 2023)
Retinal damar segmentasyonu, retinal görüntülerin analizi için önemli bir görevdir ve göz hastalıklarının teşhisinde ve tedavisinde kullanılan etkili bir araçtır. Damar segmentasyonunu otomatik hale getiren U-Net gibi derin ...
Hücre Canlılığı Tespitinde Yapay Öğrenme Yaklaşımları
(IEEE, 2023)
Hücre canlılığı, kök hücre tedavileri, kanser tedavileri, estetik ve kozmetik gibi klinik araştırmalarda önemli yer tutmaktadır. Doğru tedavi ve yaklaşımın uygulanabilmesi için alınan örnekteki toplam hücre canlılık oranı ...
Differential Evolution-Based Neural Architecture Search for Brain Vessel Segmentation
(Elsevier, 2024)
Brain vasculature analysis is critical in developing novel treatment targets for neurodegenerative diseases.
Such an accurate analysis cannot be performed manually but requires a semi-automated or fully-automated
approach. ...
Evolutionary Architecture Optimization for Retinal Vessel Segmentation
(IEEE, 2023)
Retinal vessel segmentation (RVS) is crucial
in medical image analysis as it helps identify and monitor
retinal diseases. Deep learning approaches have shown
promising results for RVS, but designing optimal neural
network ...
Radar Placement Optimization Based on Adaptive Multi-Objective Meta-Heuristics
(Elsevier, 2024)
Airspace surveillance is a significant issue for many countries to control and manage their airspace. The
number of radars used and their coverage rate are the main issues to consider in this case. Therefore, this
paper ...