Erken ventriküler kasılmalarda ysa tabanlı bir sınıflandırıcının FPGA ile gerçekleştirilmesi (An FPGA implementation of ann-based premature ventricular contraction classifier) - Ahmet Turan Özdemir (2010)

Detecting Falls with Wearable Sensors Using Machine Learning Techniques. - Ahmet Turan Özdemir; Billur Barshan (Sensors, 2014)

A TMS320C6416 DSP-based high-speed data acquisition system. - Ahmet Turan Özdemir; Ahmet Atci (SIU, 2015)

Developing an iPhone smartphone based fall detection algorithm. - Ahmet Turan Özdemir; Ahmet Orman (SIU, 2015)

Investigation of Sensor Placement for Accurate Fall Detection. - Periklis Ntanasis; Evangelia Pippa; Ahmet Turan Özdemir; Billur Barshan; Vasileios Megalooikonomou (MobiHealth, 2016)

An Analysis on Sensor Locations of the Human Body for Wearable Fall Detection Devices: Principles and Practice. - Ahmet Turan Özdemir (Sensors, 2016)

Autonomic Fall Detection System. - Ahmet Turan Özdemir; Cihan Tunc; Salim Hariri (FAS*W@SASO/ICCAC, 2017)

Global vs local classification models for multi-sensor data fusion. - Evangelia Pippa; Evangelia I. Zacharaki; Ahmet Turan Özdemir; Billur Barshan; Vasileios Megalooikonomou (SETN, 2018)

GNSS positioning accuracy improvement based on surface meteorological parameters using artificial neural networks. - Agab Bakheet Mohammednour; Ahmet Turan Özdemir (Int. J. Commun. Syst., 2020)

Investigating classification performance of hybrid deep learning and machine learning architectures on activity recognition. - Esma Uzunhisarcikli; Erhan Kavuncuoglu; Ahmet Turan Özdemir (Comput. Intell., 2022)

Investigating the Performance of Wearable Motion Sensors on recognizing falls and daily activities via machine learning. - Erhan Kavuncuoglu; Esma Uzunhisarcikli; Billur Barshan; Ahmet Turan Özdemir (Digit. Signal Process., 2022)

Simulated Falls and Daily Living Activities Data Set Data Set. - Ahmet Turan Özdemir; Billur Barshan (IEEE DataPort, 2022)

Investigating the impact of sensor axis combinations on activity recognition and fall detection: an empirical study. - Erhan Kavuncuoglu; Ahmet Turan Özdemir; Esma Uzunhisarcikli (Multim. Tools Appl., 2025)