Konu "Machine learning" için listeleme
Toplam kayıt 15, listelenen: 1-15
-
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 ... -
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 ... -
A Comprehensive Review of Computer-based Techniques for R-Peaks/QRS Complex Detection in ECG Signal
(Springer Science and Business Media B.V., 2023)Electrocardiogram (ECG) signal, which is composite of multiple segments such as P-wave, QRS complex and T-wave, plays a crucial role in the treatment of cardiovascular disease. For an analysis of cardiac diagnosis, it is ... -
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 ... -
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 ... -
Hisse senedi fiyatlarının makine öğrenmesi yöntemleri ve derin öğrenme algoritmaları ile tahmini
(Gümüşhane Üniversitesi, 2019)Türkiye gibi gelişmekte olan ekonomiler açısından menkul kıymetler piyasasının fiyat tahminlerinin yapılması oldukça önemlidir, ancak piyasalarda her türlü spekülatif hareketin yaşanması bu borsalarda iniş ve çıkışların ... -
Information theory and machine learning based authentication of flaxseed oil using portable and handheld vibrational spectroscopy sensors
(Chinese Journal of Analytical Chemistry, Chinese Jo)Flaxseed oil is one of the popular edible oils, and its adulteration has become a concern because of its high commodity value. Therefore, there is a need to detect adulterated flaxseeds with a rapid, non-invasive, and ... -
Information theory and machine learning based authentication of flaxseed oil using portable and handheld vibrational spectroscopy sensors
(SCIENCE PRESS, 2022)Flaxseed oil is one of the popular edible oils, and its adulteration has become a concern because of its high commodity value. Therefore, there is a need to detect adulterated flaxseeds with a rapid, non-invasive, and ... -
Machine learning and domain adaptation to monitor yoghurt fermentation using ultrasonic measurements
(ELSEVIER, 2023)In manufacturing environments, real-time monitoring of yoghurt fermentation is required to maintain an optimal production schedule, ensure product quality, and prevent the growth of pathogenic bacteria. Ultrasonic sensors ... -
Near-infrared spectroscopy and machine learning for classification of food powders during a continuous process
(Elsevier Ltd, 2023)In food production environments, the wrong powder material is occasionally loaded onto a production line which impacts food safety, product quality, and production economics. The aim of this study was to assess the potential ... -
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 ... -
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 ... -
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 ... -
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 ... -
Sentiment analysis of financial Twitter posts on Twitter with the machine learning classifiers
(Elsevier Ltd, 2024)This paper presents a sentiment analysis combining the lexicon-based and machine learning (ML)-based approaches in Turkish to investigate the public mood for the prediction of stock market behavior in BIST30, Borsa Istanbul. ...