Hande Alemdar
Hande Alemdar
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Zitiert von
Zitiert von
Wireless sensor networks for healthcare: A survey
H Alemdar, C Ersoy
Computer networks 54 (15), 2688-2710, 2010
Ternary neural networks for resource-efficient AI applications
H Alemdar, V Leroy, A Prost-Boucle, F Pétrot
2017 international joint conference on neural networks (IJCNN), 2547-2554, 2017
ARAS human activity datasets in multiple homes with multiple residents
H Alemdar, H Ertan, OD Incel, C Ersoy
2013 7th International Conference on Pervasive Computing Technologies for …, 2013
A smartphone based fall detector with online location support
G Yavuz, M Kocak, G Ergun, HO Alemdar, H Yalcin, OD Incel, C Ersoy
Proceedings of the International Workshop on Sensing for App Phones, 31-35, 2010
Scalable high-performance architecture for convolutional ternary neural networks on FPGA
A Prost-Boucle, A Bourge, F Pétrot, H Alemdar, N Caldwell, V Leroy
2017 27Th International conference on field programmable logic and …, 2017
Multimodal wireless sensor network-based ambient assisted living in real homes with multiple residents
C Tunca, H Alemdar, H Ertan, OD Incel, C Ersoy
Sensors 14 (6), 9692-9719, 2014
Using active learning to allow activity recognition on a large scale
H Alemdar, TLM van Kasteren, C Ersoy
Ambient Intelligence: Second International Joint Conference on AmI 2011 …, 2011
Multi-resident activity tracking and recognition in smart environments
H Alemdar, C Ersoy
Journal of Ambient Intelligence and Humanized Computing 8, 513-529, 2017
Effective Performance Metrics for Evaluating Activity Recognition Methods.
T Van Kasteren, HÖ Alemdar, C Ersoy
ARCS Workshops, 2011
Daily life behaviour monitoring for health assessment using machine learning: bridging the gap between domains
H Alemdar, C Tunca, C Ersoy
Personal and Ubiquitous Computing 19, 303-315, 2015
A deep learning approach for the transonic flow field predictions around airfoils
C Duru, H Alemdar, OU Baran
Computers & Fluids 236, 105312, 2022
Active learning with uncertainty sampling for large scale activity recognition in smart homes
H Alemdar, TLM Van Kasteren, C Ersoy
Journal of Ambient Intelligence and Smart Environments 9 (2), 209-223, 2017
CNNFOIL: Convolutional encoder decoder modeling for pressure fields around airfoils
C Duru, H Alemdar, ÖU Baran
Neural Computing and Applications 33 (12), 6835-6849, 2021
Wireless healthcare monitoring with RFID-enhanced video sensor networks
H Alemdar, Y Durmus, C Ersoy
International Journal of Distributed Sensor Networks 6 (1), 473037, 2010
Multi-modal fall detection within the WeCare framework
HÖ Alemdar, GR Yavuz, MO Özen, YE Kara, ÖD Incel, L Akarun, C Ersoy
Proceedings of the 9th ACM/IEEE international conference on information …, 2010
Wireless sensor networks for healthcare: a surveyComputer
H Alemdar, C Ersoy
Networks201054152688 2710, 0
Dropppp: a P4 approach to mitigating dos attacks in SDN
G Simsek, H Bostan, AK Sarica, E Sarikaya, A Keles, P Angin, H Alemdar, ...
Information Security Applications: 20th International Conference, WISA 2019 …, 2020
How do soccer teams coordinate consecutive passes? A visual analytics system for analysing the complexity of passing sequences using soccer flow motifs
JLS Malqui, NML Romero, R Garcia, H Alemdar, JLD Comba
Computers & Graphics 84, 122-133, 2019
A robust multimodal fall detection method for ambient assisted living applications
HÖ Alemdar, YE Kara, MO Özen, GR Yavuz, ÖD İncel, L Akarun, C Ersoy
2010 IEEE 18th Signal Processing and Communications Applications Conference …, 2010
Efficient and versatile fpga acceleration of support counting for stream mining of sequences and frequent itemsets
A Prost-Boucle, F Pétrot, V Leroy, H Alemdar
ACM Transactions on Reconfigurable Technology and Systems (TRETS) 10 (3), 1-25, 2017
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