Browsing by Author "Akyokus, Selim"
Now showing items 1-5 of 5
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Automatic Classification of Classical Music Compositions
Uygun, Tarik Taha; Guran, Aysun; Akyokus, Selim (IEEE, 2018)In this study, we used several algorithms to classify classical music composers on a dataset called MusicNet. After extracting quantitive features from each composition in a workable format, composer of each composition ... -
The Evaluation of Word Embedding Models and Deep Learning Algorithms for Turkish Text Classification
Kilimci, Zeynep Hilal; Akyokus, Selim (Ieee, 2019)The use of word embedding models and deep learning algorithms are currently the most common and popular trends to enhance the overall performance of a text classification/categorization system. Word embedding models are ... -
A Hybrid Deep Model Using Deep Learning and Dense Optical Flow Approaches for Human Activity Recognition
Tanberk, Senem; Kilimci, Zeynep Hilal; Tukel, Dilek Bilgin; Uysal, Mitat; Akyokus, Selim (IEEE-Inst Electrical Electronics Engineers Inc, 2020)Human activity recognition is a challenging problem with many applications including visual surveillance, human-computer interactions, autonomous driving and entertainment. In this study, we propose a hybrid deep model to ... -
An Improved Demand Forecasting Model Using Deep Learning Approach and Proposed Decision Integration Strategy for Supply Chain
Kilimci, Zeynep Hilal; Akyuz, A. Okay; Uysal, Mitat; Akyokus, Selim; Uysal, M. Ozan; Bulbul, Berna Atak; Ekmis, Mehmet Ali (Wiley-Hindawi, 2019)Demand forecasting is one of the main issues of supply chains. It aimed to optimize stocks, reduce costs, and increase sales, profit, and customer loyalty. For this purpose, historical data can be analyzed to improve demand ... -
Mood Detection from Physical and Neurophysical Data Using Deep Learning Models
Kilimci, Zeynep Hilal; Guven, Aykut; Uysal, Mitat; Akyokus, Selim (Wiley-Hindawi, 2019)Nowadays, smart devices as a part of daily life collect data about their users with the help of sensors placed on them. Sensor data are usually physical data but mobile applications collect more than physical data like ...
