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Ahmet Turan Özdemir
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2020 – today
- 2022
- [j5]Esma Uzunhisarcikli, Erhan Kavuncuoglu, Ahmet Turan Özdemir:
Investigating classification performance of hybrid deep learning and machine learning architectures on activity recognition. Comput. Intell. 38(4): 1402-1449 (2022) - [j4]Erhan Kavuncuoglu, Esma Uzunhisarcikli, Billur Barshan, Ahmet Turan Özdemir:
Investigating the Performance of Wearable Motion Sensors on recognizing falls and daily activities via machine learning. Digit. Signal Process. 126: 103365 (2022) - [d1]Ahmet Turan Özdemir, Billur Barshan:
Simulated Falls and Daily Living Activities Data Set Data Set. IEEE DataPort, 2022 - 2020
- [j3]Agab Bakheet Mohammednour, Ahmet Turan Özdemir:
GNSS positioning accuracy improvement based on surface meteorological parameters using artificial neural networks. Int. J. Commun. Syst. 33(9) (2020)
2010 – 2019
- 2018
- [c5]Evangelia Pippa, Evangelia I. Zacharaki, Ahmet Turan Özdemir, Billur Barshan, Vasileios Megalooikonomou:
Global vs local classification models for multi-sensor data fusion. SETN 2018: 43:1-43:5 - 2017
- [c4]Ahmet Turan Özdemir, Cihan Tunc, Salim Hariri:
Autonomic Fall Detection System. FAS*W@SASO/ICCAC 2017: 166-170 - 2016
- [j2]Ahmet Turan Özdemir:
An Analysis on Sensor Locations of the Human Body for Wearable Fall Detection Devices: Principles and Practice. Sensors 16(8): 1161 (2016) - [c3]Periklis Ntanasis, Evangelia Pippa, Ahmet Turan Özdemir, Billur Barshan, Vasileios Megalooikonomou:
Investigation of Sensor Placement for Accurate Fall Detection. MobiHealth 2016: 225-232 - 2015
- [c2]Ahmet Turan Özdemir, Ahmet Atci:
A TMS320C6416 DSP-based high-speed data acquisition system. SIU 2015: 1413-1416 - [c1]Ahmet Turan Özdemir, Ahmet Orman:
Developing an iPhone smartphone based fall detection algorithm. SIU 2015: 2561-2564 - 2014
- [j1]Ahmet Turan Özdemir, Billur Barshan:
Detecting Falls with Wearable Sensors Using Machine Learning Techniques. Sensors 14(6): 10691-10708 (2014) - 2010
- [b1]Ahmet Turan Özdemir:
Erken ventriküler kasılmalarda ysa tabanlı bir sınıflandırıcının FPGA ile gerçekleştirilmesi (An FPGA implementation of ann-based premature ventricular contraction classifier). Erciyes University, Turkey, 2010
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