A Real-Time System for Recognition of American Sign Language by using Deep Learning. - Murat Taskiran; Mehmet Killioglu; Nihan Kahraman (TSP, 2018)

Comparison of CNN Tolerances to Intra Class Variety in Food Recognition. - Murat Taskiran; Nihan Kahraman (INISTA, 2019)

Face Recognition Using Dynamic Features Extracted from Smile Videos. - Murat Taskiran; Mehmet Killioglu; Nihan Kahraman; Cigdem Eroglu Erdem (INISTA, 2019)

A New Fractional Order Memristance Simulator Circuit Design. - Zehra Gülru Çam Taskiran; Murat Taskiran (INISTA, 2019)

Toddler Tracking System with Face Recognition and Object Tracking Using Deep Neural Network. - Hanife Güney; Melek Aydin; Murat Taskiran; Nihan Kahraman (INISTA, 2020)

Face recognition: Past, present and future (a review). - Murat Taskiran; Nihan Kahraman; Cigdem Eroglu Erdem (Digit. Signal Process., 2020)

Comprehensive Comparison of LSTM Variations for the Prediction of Chaotic Time Series. - Hatice Vildan Dudukcu; Murat Taskiran; Zehra Gülru Çam Taskiran (INISTA, 2021)

Consolidated or individual training: Which one is better for blood glucose prediction? - Hatice Vildan Dudukcu; Murat Taskiran; Tülay Yildirim (INISTA, 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)

Deep learning based tobacco products classification. - Murat Taskiran; Sibel Çimen Yetis (Int. J. Comput. Sci. Math., 2021)

Unmanned Aerial Vehicles (UAVs) Battery Power Anomaly Detection Using Temporal Convolutional Network with Simple Moving Average Algorithm. - Hatice Vildan Dudukcu; Murat Taskiran; Nihan Kahraman (INISTA, 2022)

Instantaneous Power Consumption Prediction with Modified Temporal Convolutional Network for UAVs. - Hatice Vildan Dudukcu; Murat Taskiran; Nihan Kahraman (TSP, 2022)

A deep neural network based toddler tracking system. - Hanife Güney; Melek Aydin; Murat Taskiran; Nihan Kahraman (Concurr. Comput. Pract. Exp., 2022)

A Fusion-Based Deep Neural Networks Approach for Face Liveness Detection. - Melek Aydin; Murat Taskiran; Nihan Kahraman; Hatice Vildan Dudukcu (INISTA, 2023)

UAV sensor data applications with deep neural networks: A comprehensive survey. - Hatice Vildan Dudukcu; Murat Taskiran; Nihan Kahraman (Eng. Appl. Artif. Intell., 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., 2023)

UAV instantaneous power consumption prediction using LR-TCN with simple moving average. - Hatice Vildan Dudukcu; Murat Taskiran; Nihan Kahraman (Concurr. Comput. Pract. Exp., 2024)

Hierarchical Cascade Deep Learning for EMG-Based Behavioral Biometrics: Gesture and Subject Classification. - Berke Cansiz; Hatice Vildan Dudukcu; Murat Taskiran; Nihan Kahraman (IEEE Access, 2025)

An Ensemble Learning-Based Predictive Parameterization Approach for Permanent Magnet Synchronous Machines. - Sema Nur Ipek; Nur Bekiroglu; Murat Taskiran (IEEE Access, 2025)

A Neural Network-Based Approach to Determining the Mechanical Design Dimensions of Asynchronous Machines. - Sema Nur Ipek; Murat Taskiran; Nur Bekiroglu (IEEE Access, 2025)

Modelling of GNSS station position time series using deep learning approaches. - Merve Simsek; Murat Taskiran; Ugur Dogan (Earth Sci. Informatics, 2025)

MYFED: a dataset of affective face videos for investigation of emotional facial dynamics as a soft biometric for person identification. - Zeynep Nur Saracbasi; Cigdem Eroglu Erdem; Murat Taskiran; Nihan Kahraman (Mach. Vis. Appl., 2025)