Search Results - "Çelebi, Fatih Vehbi"

Imputation by feature importance (IBFI): A methodology to envelop machine learning method for imputing missing patterns in time series data by Mir, Adil Aslam, Kearfott, Kimberlee Jane, Çelebi, Fatih Vehbi, Rafique, Muhammad

“…A new methodology, imputation by feature importance (IBFI), is studied that can be applied to any machine learning method to efficiently fill in any missing or…”
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Anomaly Classification for Earthquake Prediction in Radon Time Series Data Using Stacking and Automatic Anomaly Indication Function by Mir, Adil Aslam, Çelebi, Fatih Vehbi, Rafique, Muhammad, Faruque, M. R. I., Khandaker, Mayeen Uddin, Kearfott, Kimberlee Jane, Ahmad, Pervaiz

“…To minimize catastrophic impacts of earthquakes, many researchers have directed their efforts to developing novel computational techniques and models that…”
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Evolutionary feature selection for machine learning based malware classification by Kale, Gülsade, Bostancı, Gazi Erkan, Çelebi, Fatih Vehbi

“…Conducting thorough research, analysis, and detection of cyber-threatening malware with the right parameters is crucial for safeguarding a country’s security…”
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A novel hybrid model for two-phase image segmentation: GSA based Chan–Vese algorithm by Çataloluk, Hatice, Çelebi, Fatih Vehbi

“…The active contours without edges model of Chan and Vese (Chan and Vese, 2001), which has been accepted for two-phase image segmentation is one of the most…”
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Decoding pulsatile patterns of cerebrospinal fluid dynamics through enhancing interpretability in machine learning by Keles, Ayse, Ozisik, Pinar Akdemir, Algin, Oktay, Celebi, Fatih Vehbi, Bendechache, Malika

“…Analyses of complex behaviors of Cerebrospinal Fluid (CSF) have become increasingly important in diseases diagnosis. The changes of the phase-contrast magnetic…”
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A novel method to ensure the security of the shared medical data using smart contracts: Organ transplantation sample by Çalık, Elif, Kaya, Hilal, Çelebi, Fatih Vehbi

“…In recent years, the rapid development in information technologies appears in the form of digitalization, all of the processes in the health domain. Among the…”
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Anomalies Prediction in Radon Time Series for Earthquake Likelihood Using Machine Learning-Based Ensemble Model by Mir, Adil Aslam, Celebi, Fatih Vehbi, Alsolai, Hadeel, Qureshi, Shahzad Ahmad, Rafique, Muhammad, Alzahrani, Jaber S., Mahgoub, Hany, Hamza, Manar Ahmed

“…The ability to predict the radioactive soil radon gas concentration is important for human beings because it serves as a precursor to earthquakes. Several…”
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An Improved Imputation Method for Accurate Prediction of Imputed Dataset Based Radon Time Series by Mir, Adil Aslam, Celebi, Fatih Vehbi, Rafique, Muhammad, Hussain, Lal, Almasoud, Ahmed S., Alajmi, Masoud, Al-Wesabi, Fahd N., Hilal, Anwer Mustafa

“…This article primarily focuses on the performance evaluation of a new methodology, imputation by feature importance (IBFI), to serve its imputed dataset in…”
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Imputation by feature importance by Mir, Adil Aslam, Kearfott, Kimberlee Jane, Çelebi, Fatih Vehbi, Rafique, Muhammad

“…A new methodology, imputation by feature importance (IBFI), is studied that can be applied to any machine learning method to efficiently fill in any missing or…”
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Multimodal medical imaging repository and information system in epilepsy surgery by AKDENİZ, Gülsüm, ATLI, İbrahim, ÇELEBİ, Fatih Vehbi

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Semiconductor laser beam bending by YILDIRIM, Remzi, ÇELEBİ, Fatih Vehbi

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Adaptive Neuro-Fuzzy Based Gain Controller for Erbium-Doped Fiber Amplifiers by YUCEL, M., CELEBI, F. V., TORUN, M., GOKTAS, H. H.

“…Erbium-doped fiber amplifiers (EDFA) must have a flat gain profile which is a very important parameter such as wavelength division multiplexing (WDM) and dense…”
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Correction to: Anomaly Classification for Earthquake Prediction in Radon Time Series Data Using Stacking and Automatic Anomaly Indication Function by Mir, Adil Aslam, Çelebi, Fatih Vehbi, Rafique, Muhammad, Faruque, M. R. I., Khandaker, Mayeen Uddin, Kearfott, Kimberlee Jane, Ahmad, Pervaiz

“…A correction to this paper has been published: https://doi.org/10.1007/s00024-021-02764-5…”
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Widely triple Brillouin frequency shift multiwavelength Brillouin erbium fiber laser by Al-Mashhadani, Thamer Fahad, Al-Mashhadani, Mohammed Kamil Salh, Goktas, Halim Haldun, Yucel, Murat, Celebi, Fatih Vehbi

“…We experimentally propose simple and widely tunable multiwavelength Brillouin erbium fiber laser with triple Brillouin frequency spacing. Only two dispersion…”
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A heuristic algorithm for Chan-Vese model by Cataloluk, Hatice, Celebi, Fatih Vehbi

“…In this paper, a novel heuristic algorithm for Chan-Vese Model has been presented. In the conventional Chan-Vese model, proper initial contour selection is an…”
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A Combined Method for Object Detection under Rain Conditions Using Deep Learning by Al-Shammri, Faris K., Mohammed, Adnan Saher, Celebi, Fatih Vehbi

“…The process of object detection utilizing deep learning is one of the most important deep learning applications and computer vision techniques, where one can…”
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Anomaly detection in hyperspectral data with matrix decomposition by Kucuk, Fatma, Toreyin, Behcet Ugur, Celebi, Fatih Vehbi

“…The role of anomaly detection in hyperspectral imaging is increasingly important. Traditional anomaly detection methods mainly extract information from…”
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