Bilgisayar Teknolojileri Bölümü
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A new deep convolutional neural network model for classifying breast cancer histopathological images and the hyperparameter optimisation of the proposed model
(Springer, 2021)Deep learning algorithms have yielded remarkable results in medical diagnosis and image analysis, besides their contribution to improvements in a number of fields such as drug discovery, time-series modelling and optimisation ... -
A New Hybrid Breast Cancer Diagnosis Model Using Deep Learning Model and ReliefF
(International Information and Engineering Technology Association, 2022)Breast cancer is a dangerous type of cancer usually found in women and is a significant research topic in medical science. In patients who are diagnosed and not treated early, cancer spreads to other organs, making treatment ... -
An Inset Fed Square Microstrip Patch Antenna to Improve the Return Loss Characteristics for 5G Applications
(IEEE, 2017)In this study, a square microstrip patch antenna operating in millimeter wave frequencies with improved return loss characteristics is proposed. The proposed patch antenna operates at 30 GHz which is among the projected ... -
A new hybrid gravitational search-teaching-learning-based optimization method for the solution of economic dispatch of power systems
(TUBITAK SCIENTIFIC & TECHNICAL RESEARCH COUNCIL TURKEY, 2019)The economic dispatch problem (EDP) is a complex, constrained, and nonlinear optimization problem. In the EDP, the active power bus should operate between the minimum and maximum bus limits to minimize the fuel cost. In ... -
A Square Microstrip Patch Antenna with Enhanced Return Loss through Defected Ground Plane for 5G Wireless Networks
(IEEE, 2018)In this paper, we design an inset fed square microstrip patch antenna with defected ground plane for 15 GHz which is one of the projected 5G frequency bands. The first design concept is a conventional inset fed square ... -
A new hybrid gravitational search-teaching-learning-based optimization method for energy demand estimation of Turkey
(SPRINGER LONDON LTD, 2019)In this study, energy demand estimation (EDE) was implemented by a proposed hybrid gravitational search-teaching-learning-based optimization method with developed linear, quadratic and exponential models. Five indicators: ... -
Solution of economic dispatch problem for wind-thermal power systems by a modified hybrid optimization method
(GAZI UNIV, FAC ENGINEERING ARCHITECTURE, 2019)Economic Dispatch Problem (EDP) is a complex, constrained and non-linear optimization problem. In the EDP, it is aimed to minimize the system fuel cost between minimum and maximum limits of the active power buses. In this ...
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