Now showing items 1-8 of 8
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A comprehensive review of automatic programming methods
(09.07.2023)Automatic programming (AP) is one of the most attractive branches of artificial intelligence because it provides effective solutions to problems with limited knowledge in many different application areas. AP methods can ... -
A modified artificial bee colony algorithm for classification optimisation
(INDERSCIENCE ENTERPRISES LTDWORLD TRADE CENTER BLDG, 29 ROUTE DE PRE-BOIS, CASE POSTALE 856, CH-1215 GENEVA, SWITZERLAND, 18.10.2022)The promising capabilities, easily implementable and customisable structures of the meta-heuristic algorithms have increased the researchers’ attentions to the well-known problems and their new approximations that are ... -
A new lattice based artificial bee colony algorithm for EEG noise minimization
(2023)Geçtiğimiz yıllar büyük veri olarak adlandırılan yeni bir kavramla başlayan değişimlere tanıklık etmiştir. Bu yeni kavram ve özellikleri gerçek hayat en iyileme problemlerinin tanımlarını değiştirmiş ve daha önce önerilen ... -
Improving Brain Tumor Classification with Deep Learning Using Synthetic Data
(Tech Science Press, 2023)Deep learning (DL) techniques, which do not need complex pre-processing and feature analysis, are used in many areas of medicine and achieve promising results. On the other hand, in medical studies, a limited dataset ... -
Investigating the best automatic programming method in predicting the aerodynamic characteristics of wind turbine blade
(Elsevier, 03.05.2023)Automatic programming (AP) is a subfield of artificial intelligence (AI) that can automatically generate computer programs and solve complex engineering problems. This paper presents the accuracy of four different AP methods ... -
MI-STEG: A Medical Image Steganalysis Framework Based on Ensemble Deep Learning
(Tech Science Press, 2023)Medical image steganography aims to increase data security by concealing patient-personal information as well as diagnostic and therapeutic data in the spatial or frequency domain of radiological images. On the other hand, ... -
Support Vector Machine (SVM) Application for Uniaxial Compression Strength (UCS) Prediction: A Case Study for Maragheh Limestone
(09.02.2023)The geomechanical properties of rock materials, such as uniaxial compression strength (UCS), are the main requirements for geo-engineering design and construction. A proper understanding of UCS has a significant impression ... -
Symbolic regression with feature selection of dye biosorption from an aqueous solution using pumpkin seed husk using evolutionary computation-based automatic programming methods
(30.11.2023)Industrial waste pollution is a serious and systematic problem that harms the environment and people. The development of cheap, simple, and efficient techniques to solve this problem is important for sustainability. In ...
