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Predicting Stock Prices Using Machine Learning Methods and Deep Learning Algorithms: The Sample of the Istanbul Stock Exchange
(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 ...
Diagnosis of COVID-19 and non-COVID-19 patients by classifying only a single cough sound
(Springer London Ltd, 2021)
In the last month of 2019, a new virus emerged in China, spreading rapidly and affecting the whole world. This virus, which is called corona, is the most contagious type of virus that humanity has ever encountered. The ...
ReCRNet: a deep residual network for crack detection in historical buildings
(Springer Heidelberg, 2021)
In historical buildings, surface cracks are important indicators of potential structural damage. Natural disasters and indirect human factors, which are frequently encountered in recent periods, negatively affect historical ...
Analysis of Mining Lost Time Incident Duration Influencing Factors Through Machine Learning
(Springer Heidelberg, 2021)
Despite technological advancements and organizational adjustments, lost time accidents are major issues in occupational safety. However, there is very limited work that focuses on variables influencing days lost as a result ...
Görüntü segmentasyonu ile entegre edilmiş evrişimli sinir ağları ile deprem sonrası hasarlı binaların otomatik olarak tespiti
(Gümüşhane Üniversitesi, 2021)
Doğal afet türlerinden biri olan depremlerin meydana gelmesinden sonra birçok afetzedenin hayatını kurtarabilmek ve kriz yönetimini daha mükemmel sonuçlandırabilmek için afet bölgesinde bulunan hasarlı binaları mümkün ...
Satellite-derived shallow wetland bathymetry using different classification algorithms and datasets
(Desalination Publications, 2021)
Remote sensing (RS) effectively identifies, analyzes, and monitors wetlands. In addition to these two-dimensional studies, RS is used with several techniques in determining shallow water depths. The primary purpose of this ...
1 of 1 Satellite-derived shallow wetland bathymetry using different classification algorithms and datasets
(DESALINATION PUBL, 2021)
Remote sensing (RS) effectively identifies, analyzes, and monitors wetlands. In addition to these two-dimensional studies, RS is used with several techniques in determining shallow water depths. The primary purpose of this ...
Satellite-derived shallow wetland bathymetry using different classification algorithms and datasets
(Desalination Publications, 2021)
Remote sensing (RS) effectively identifies, analyzes, and monitors wetlands. In addition to these two-dimensional studies, RS is used with several techniques in determining shallow water depths. The primary purpose of this ...