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Neural Text Normalization for Turkish Social Media
(Fen Bilimleri Enstitüsü, 2018)
Social media has become a rich data source for natural language processing tasks with its worldwide use; however, it is hard to process social media data directly in language studies due to its unformatted nature. Text ...
EEG-Based Assessment of Cybersickness in a VR Environment and Adjusting Stereoscopic Parameters According to Level of Sickness to Present a Comfortable Vision
(Fen Bilimleri Enstitüsü, 2020)
Virtual reality (VR) is an increasingly widespread technology that provides a more realistic and fully immersive experience by using head-mounted displays (HMDs). However, this medium comes with some side effects. Users ...
MIWGAN-GP: Missing Data Imputation using Wasserstein Generative Adversarial Nets with Gradient Penalty
(Fen Bilimleri Enstitüsü, 2022)
The success and dependability of IoT applications are heavily dependent on data quality. Due to hardware problems, synchronization challenges, inconsistent network connectivity, and manual system shutdown, produced data ...
Federated Learning With Uncertainty For Different Tasks
(Fen Bilimleri Enstitüsü, 2024-04-29)
Classical machine learning paradigms typically centralize all data on a single server for training, which can lead to problems such as data confidentiality, storage costs, and bandwidth requirements for data transfer. To ...
Generating Action Description Text From Skeleton Key Points Sequence
(Fen Bilimleri Enstitüsü, 2024)
Although numerous sign language datasets are available, they generally include only a small portion of the thousands of signs used worldwide. Furthermore, the creation of diverse sign language datasets is both costly and ...
Automatic Arrhythmia Classification from Electrocardiogram Measurements with Deep Learning
(Fen Bilimleri Enstitüsü, 2024)
ECG signals have an important place in detecting arrhythmias. Arrhythmias are irregular heartbeats. One of the most popular studies in this field is the classification of arrhythmias with artificial neural networks. In the ...