Kurum Yazarı "Akbas, Ayhan" İçin Listeleme
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COMPARATIVE PERFORMANCE ANALYSIS OF ARIMA, PROPHET AND HOLT-WINTERS FORECASTING METHODS ON EUROPEAN COVID-19 DATA
Ersöz, Nur Şebnem; Güner Şahan, Pınar; Akbas, Ayhan; Bakır Güngör, Burcu (Kerim ÇETİNKAYA, 2022)COVID-19 is the most common infectious disease of the last few years and has caused an outbreak all around the world. The mortality rate, which was earlier in the hundreds, increased to thousands and then to millions. ... -
Human identification using palm print images based on deep learning methods and gray wolf optimization algorithm
Alshakree, Firas; Akbas, Ayhan; Rahebi, Javad (SPRINGER, 2024)Palm print identification is a biometric technique that relies on the distinctive characteristics of a person’s palm print to distinguish and authenticate their identity. The unique pattern of ridges, lines, and other ... -
Machine learning approaches for underwater sensor network parameter prediction
Uyan, Osman Gokhan; Akbas, Ayhan; Gungor, Vehbi Cagri (ELSEVIER, 2023)Underwater Acoustic Sensor Networks (UASNs) have recently attracted scientists due to its wide range of real -world applications. However, there are design challenges in UASNs, such as limited network lifetime and low ... -
Machine Learning based Early Prediction of Type 2 Diabetes: A New Hybrid Feature Selection Approach using Correlation Matrix with Heatmap and SFS
Akbas, Ayhan; Buyrukoğlu, Selim (İstanbul Teknik Üniversitesi, 2022)A new hybrid machine learning method for the prediction of type 2 diabetes is introduced and explained in detail. Also outcomes are compared with the similar researches. Early prediction of diabetes is crucial to take ... -
A reliable and secure multi-path routing strategy for underwater acoustic sensor networks
Uyan, Osman Gokhan; Akbas, Ayhan; Gungor, Vehbi Cagri (ELSEVIER, 2022)Underwater Acoustic Sensor Networks (UASNs) have nowadays become an attractive topic in scientific studies and commercial applications. An important challenge in UASN’s design is the limited network lifetime and ... -
Stacking Ensemble Learning-Based Wireless Sensor Network Deployment Parameter Estimation
Akbas, Ayhan; Buyrukoglu, Selim (Institute for Ionics, 2023)In wireless sensor network projects, it is generally desired to cover the area to be monitored at a given cost and to achieve the maximum useful network lifetime. In the deployment of the wireless sensors, it is necessary ...
