by Institution Author "Bakış, Enes"
Now showing items 1-4 of 4
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Deep Learning-Based Time Series Prediction of Micro Gas Turbine Power Output
Bakış, Enes; Acar, Emrullah (Institute of Electrical and Electronics Engineers Inc., 2024)Micro gas turbines play an important role in energy production, and it is critical to make accurate predictions in order to ensure that these turbines operate efficiently. The objective of this study is to predict the power ... -
A Hybrid 2D Gaussian Filter and Deep Learning Approach with Visualization of Class Activation for Automatic Lung and Colon Cancer Diagnosis
Türk, Ömer; Acar, Emrullah; Irmak, Emrah; Yılmaz, Musa; Bakış, Enes (Sage Publications Inc, 2024)Cancer is a significant public health issue due to its high prevalence and lethality, particularly lung and colon cancers, which account for over a quarter of all cancer cases. This study aims to enhance the detection rate ... -
Machine Learning Approaches for Predicting Power Generation in Wave Energy Converters
Bakış, Enes; Bakkal, Salih (Institute of Electrical and Electronics Engineers Inc., 2024)The potential of wave energy as a renewable energy source is significant, and therefore the development of accurate methods for predicting power output from Wave Energy Converters (WECs) is a necessity. This study employs ... -
Prediction of Electricity Production from Wind and Solar Energy by Employing Regression Models
Örenç, Sedat; Acar, Emrullah; Özerdem, Mehmet Sıraç; Bakış, Enes (Institute of Electrical and Electronics Engineers Inc., 2024)Accurately predicting electricity production from renewable energy sources is critical for sustainable energy systems. Wind and solar energy play key roles in reducing greenhouse gas emissions and reliance on fossil fuels. ...
