Hatice Vildan Dudukcu

Concurr. Comput. Pract. Exp., 2024

2023

Temporal Convolutional Networks with RNN approach for chaotic time series prediction.

[BibT_eX]

[DOI]

Zehra Gülru Çam Taskiran

Tulay Yildirim

Appl. Soft Comput., January, 2023

UAV sensor data applications with deep neural networks: A comprehensive survey.

[BibT_eX]

[DOI]

Eng. Appl. Artif. Intell., 2023

A Fusion-Based Deep Neural Networks Approach for Face Liveness Detection.

[BibT_eX]

[DOI]

Melek Aydin

Proceedings of the International Conference on Innovations in Intelligent Systems and Applications, 2023

2022

Instantaneous Power Consumption Prediction with Modified Temporal Convolutional Network for UAVs.

[BibT_eX]

[DOI]

Proceedings of the 45th International Conference on Telecommunications and Signal Processing, 2022

Unmanned Aerial Vehicles (UAVs) Battery Power Anomaly Detection Using Temporal Convolutional Network with Simple Moving Average Algorithm.

[BibT_eX]

[DOI]

Proceedings of the International Conference on INnovations in Intelligent SysTems and Applications, 2022

2021

Consolidated or individual training: Which one is better for blood glucose prediction?

[BibT_eX]

[DOI]

Tülay Yildirim

Proceedings of the International Conference on INnovations in Intelligent SysTems and Applications, 2021

Comprehensive Comparison of LSTM Variations for the Prediction of Chaotic Time Series.

[BibT_eX]

[DOI]