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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 ...
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 ...
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 ...
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. ...