Search
Now showing items 1-10 of 12
Brain tumor classification by using a novel convolutional neural network structure
(2022)
Brain tumors located in the skull are among the health problems that cause serious consequences. Rapid and accurate detection of brain tumor types will ensure that the patient receives appropriate treatment in the early ...
Determination of COPD severity from chest CT images using deep transfer learning network
(2022)
The purpose of this study is to present a solution to the problem of detecting the severity of Chronic Obstructive Pulmonary Disease (COPD) from chest CT images using deep transfer learning network. The study has a novelty ...
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 ...
Analysis of thorium and transuranium utilization in a small modular reactor
(Eylül 2022)
This study presents neutronic analyses of a small modular reactor utilizing transuranium and thorium. Two different fuel cases are considered in the analyses as the transuranium extracted from PWR-MOX spent fuel (a form ...
Biosorption of methyl orange from aqueous solution with hemp waste, investigation of isotherm, kinetic and thermodynamic studies and modeling using multigene genetic programming
(SPRINGER INT PUBL AGGEWERBESTRASSE 11, CHAM CH-6330, SWITZERLAND, 16.08.2022)
Water resources around the world are getting polluted day by day due to the rapidly developing industry. Industrial wastes have caused serious damage to the environment in recent years. Especially, dyes are waste products ...
Stress Analysis of 2D-FG Rectangular Plates with Multi-Gene Genetic Programming
(MDPIST ALBAN-ANLAGE 66, CH-4052 BASEL, SWITZERLAND, 16.08.2022)
Functionally Graded Materials (FGMs) are designed for use in high-temperature applications.
Since the mass production of FGM has not yet been made, the determination of its thermomechanical
limits depends on the compositional ...
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 ...
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 ...
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 ...
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 ...