Nihan Kahraman

Orcid: 0000-0003-1623-3557

According to our database1, Nihan Kahraman authored at least 25 papers between 2009 and 2024.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of five.

Timeline

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On csauthors.net:

Bibliography

2024
UAV instantaneous power consumption prediction using LR-TCN with simple moving average.
Concurr. Comput. Pract. Exp., 2024

2023
UAV sensor data applications with deep neural networks: A comprehensive survey.
Eng. Appl. Artif. Intell., 2023

A Fusion-Based Deep Neural Networks Approach for Face Liveness Detection.
Proceedings of the International Conference on Innovations in Intelligent Systems and Applications, 2023

2022
Dynamic and static feature fusion for increased accuracy in signature verification.
Signal Process. Image Commun., 2022

A deep neural network based toddler tracking system.
Concurr. Comput. Pract. Exp., 2022

Instantaneous Power Consumption Prediction with Modified Temporal Convolutional Network for UAVs.
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.
Proceedings of the International Conference on INnovations in Intelligent SysTems and Applications, 2022

2021
Hybrid face recognition under adverse conditions using appearance-based and dynamic features of smile expression.
IET Biom., 2021

Effects of Environmental Factors on EEG Based Person Recognition.
Proceedings of the International Conference on INnovations in Intelligent SysTems and Applications, 2021

2020
Face recognition: Past, present and future (a review).
Digit. Signal Process., 2020

A weighted voting ensemble of efficient regularized extreme learning machine.
Comput. Electr. Eng., 2020

Handwritten Signature Verification System Using Sound as a Feature.
Proceedings of the 43rd International Conference on Telecommunications and Signal Processing, 2020

Chaotic True Random Number Generator for Secure Communication Applications.
Proceedings of the International SoC Design Conference, 2020

Toddler Tracking System with Face Recognition and Object Tracking Using Deep Neural Network.
Proceedings of the International Conference on INnovations in Intelligent SysTems and Applications, 2020

2019
Face Recognition Using Dynamic Features Extracted from Smile Videos.
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.
Proceedings of the IEEE International Symposium on INnovations in Intelligent SysTems and Applications, 2019

2018
Optimum, projected, and regularized extreme learning machine methods with singular value decomposition and L 2 -Tikhonov regularization.
Turkish J. Electr. Eng. Comput. Sci., 2018

A Real-Time System for Recognition of American Sign Language by using Deep Learning.
Proceedings of the 41st International Conference on Telecommunications and Signal Processing, 2018

2017
The effect of pre-processing steps on geometric based hyperspectral unmixing algorithms.
Proceedings of the 25th Signal Processing and Communications Applications Conference, 2017

Classification of ships with fuzzy logic by using radar echo.
Proceedings of the 25th Signal Processing and Communications Applications Conference, 2017

2015
Comparative analog circuit design automation based on multi-objective evolutionary algorithms: An application on CMOS opamp.
Proceedings of the 38th International Conference on Telecommunications and Signal Processing, 2015

Design of a human-machine interface control system for home air conditions.
Proceedings of the 2015 23nd Signal Processing and Communications Applications Conference (SIU), 2015

2013
A Mixed Mode Neural Network Circuitry for Object Recognition Application.
Circuits Syst. Signal Process., 2013

2010
Conic section function neural network circuitry for offline signature recognition.
IEEE Trans. Neural Networks, 2010

2009
Technology independent circuit sizing for standard cell based design using neural networks.
Digit. Signal Process., 2009


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