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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 ...