Murat Taskiran

According to our database, Murat Taskiran authored at least 17 papers between 2018 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of five.

2024

UAV instantaneous power consumption prediction using LR-TCN with simple moving average.

Hatice Vildan Dudukcu, Murat Taskiran, Nihan Kahraman

Concurr. Comput. Pract. Exp., 2024

2023

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

Hatice Vildan Dudukcu, Murat Taskiran, Zehra Gülru Çam Taskiran, Tulay Yildirim

Appl. Soft Comput., January, 2023

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

Hatice Vildan Dudukcu, Murat Taskiran, Nihan Kahraman

Eng. Appl. Artif. Intell., 2023

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

Melek Aydin, Murat Taskiran, Nihan Kahraman, Hatice Vildan Dudukcu

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

2022

A deep neural network based toddler tracking system.

Hanife Güney, Melek Aydin, Murat Taskiran, Nihan Kahraman

Concurr. Comput. Pract. Exp., 2022

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

Hatice Vildan Dudukcu, Murat Taskiran, Nihan Kahraman

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.

Hatice Vildan Dudukcu, Murat Taskiran, Nihan Kahraman

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

2021

Deep learning based tobacco products classification.

Murat Taskiran, Sibel Çimen Yetis

Int. J. Comput. Sci. Math., 2021

Hybrid face recognition under adverse conditions using appearance-based and dynamic features of smile expression.

Murat Taskiran, Nihan Kahraman, Cigdem Eroglu Erdem

IET Biom., 2021

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

Hatice Vildan Dudukcu, Murat Taskiran, 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.

Hatice Vildan Dudukcu, Murat Taskiran, Zehra Gülru Çam Taskiran

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

2020

Face recognition: Past, present and future (a review).

Murat Taskiran, Nihan Kahraman, Cigdem Eroglu Erdem

Digit. Signal Process., 2020

Toddler Tracking System with Face Recognition and Object Tracking Using Deep Neural Network.

Hanife Güney, Melek Aydin, Murat Taskiran, Nihan Kahraman

Proceedings of the International Conference on INnovations in Intelligent SysTems and Applications, 2020

2019

A New Fractional Order Memristance Simulator Circuit Design.

Zehra Gülru Çam Taskiran, Murat Taskiran

Proceedings of the IEEE International Symposium on INnovations in Intelligent SysTems and Applications, 2019

Face Recognition Using Dynamic Features Extracted from Smile Videos.

Murat Taskiran, Mehmet Killioglu, Nihan Kahraman, Cigdem Eroglu Erdem

Proceedings of the IEEE International Symposium on INnovations in Intelligent SysTems and Applications, 2019

Comparison of CNN Tolerances to Intra Class Variety in Food Recognition.

Murat Taskiran, Nihan Kahraman

Proceedings of the IEEE International Symposium on INnovations in Intelligent SysTems and Applications, 2019

2018

A Real-Time System for Recognition of American Sign Language by using Deep Learning.

Murat Taskiran, Mehmet Killioglu, Nihan Kahraman

Proceedings of the 41st International Conference on Telecommunications and Signal Processing, 2018