Yazar "Unlu, Ramazan" için listeleme
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An assessment of machine learning models for slump flow and examining redundant features
Unlu, Ramazan (Techno-Press, 2020)Over the years, several machine learning approaches have been proposed and utilized to create a prediction model for the high-performance concrete (HPC) slump flow. Despite HPC is a highly complex material, predicting its ... -
Cost-oriented LSTM methods for possible expansion of control charting signals
Unlu, Ramazan (Pergamon-Elsevier Science Ltd, 2021)Manual quality control may result in delayed detection of a system defect, or none at all, potentially resulting in malfunctions that can lead to disruption of the system, incur extra costs, or complete downtime of the ... -
Detection of damaged buildings after an earthquake with convolutional neural networks in conjunction with image segmentation
Unlu, Ramazan; Kiris, Recep (Springer, 2021)Detecting damaged buildings after an earthquake as quickly as possible is important for emergency teams to reach these buildings and save the lives of many people. Today, damaged buildings after the earthquake are carried ... -
Estimating the number of clusters in a dataset via consensus clustering
Unlu, Ramazan; Xanthopoulos, Petros (Pergamon-Elsevier Science Ltd, 2019)In unsupervised learning, the problem of finding the appropriate number of clusters-usually notated as k- is very challenging. Its importance lies in the fact that k is a vital hyperparameter for the most clustering ... -
Machine Learning and Classical Forecasting Methods Based Decision Support Systems for COVID-19
Unlu, Ramazan; Namli, Ersin (Tech Science Press, 2020)From late 2019 to the present day, the coronavirus outbreak tragically affected the whole world and killed tens of thousands of people. Many countries have taken very stringent measures to alleviate the effects of the ... -
Predicting Stock Prices Using Machine Learning Methods and Deep Learning Algorithms: The Sample of the Istanbul Stock Exchange
Demirel, Ugur; Cam, Handan; Unlu, Ramazan (Gazi Univ, 2021)Stock market prediction in financial and commodity markets is a major challenge for speculators, investors, and companies but also profitable with an accurate prediction. Thus, obtaining accurate prediction results becomes ... -
A reduced variance unsupervised ensemble learning algorithm based on modern portfolio theory
Unlu, Ramazan; Xanthopoulos, Petros (Pergamon-Elsevier Science Ltd, 2021)Unsupervised ensemble learning or consensus clustering has gained popularity due to its ability to combine multiple clustering solutions into a single solution that is robust and often performs better than the individual ... -
A robust data simulation technique to improve early detection performance of a classifier in control chart pattern recognition systems
Unlu, Ramazan (Elsevier Science Inc, 2021)The quality control process is essential in maintaining the stability of production systems and proactively detecting abnormalities that may result in high mechanical and labor costs. In this study, a new data simulation ...
