Driver behavior analysis for safe driving: A survey S Kaplan, MA Guvensan, AG Yavuz, Y Karalurt IEEE Transactions on Intelligent Transportation Systems 16 (6), 3017-3032, 2015 | 400 | 2015 |
On Coverage Issues in Directional Sensor Networks: A Survey GM Amac, YA Gokhan Ad Hoc Networks 9 (7), 1238-1255, 2011 | 346 | 2011 |
Application identification via network traffic classification B Yamansavascilar, MA Guvensan, AG Yavuz, ME Karsligil 2017 International Conference on Computing, Networking and Communications …, 2017 | 148 | 2017 |
Tinyears: spying on house appliances with audio sensor nodes ZC Taysi, MA Guvensan, T Melodia Proceedings of the 2nd ACM Workshop on Embedded Sensing Systems for Energy …, 2010 | 68 | 2010 |
Towards next-generation vehicles featuring the vehicle intelligence YF Payalan, MA Guvensan IEEE Transactions on Intelligent Transportation Systems 21 (1), 30-47, 2019 | 52 | 2019 |
Selection of time-domain features for fall detection based on supervised learning AO Kansiz, MA Guvensan, HI Turkmen Proceedings of the World Congress on Engineering and Computer Science 2, 1-6, 2013 | 52 | 2013 |
A database of non-manual signs in turkish sign language O Aran, I Ari, A Guvensan, H Haberdar, Z Kurt, I Turkmen, A Uyar, ... 2007 IEEE 15th Signal Processing and Communications Applications, 1-4, 2007 | 49* | 2007 |
A novel segment-based approach for improving classification performance of transport mode detection MA Guvensan, B Dusun, B Can, HI Turkmen Sensors 18 (1), 87, 2017 | 43 | 2017 |
A novel input set for LSTM-based transport mode detection G Asci, MA Guvensan 2019 IEEE International Conference on Pervasive Computing and Communications …, 2019 | 34 | 2019 |
Energy monitoring in residential spaces with audio sensor nodes: TinyEARS MA Guvensan, ZC Taysi, T Melodia Ad Hoc Networks 11 (5), 1539-1555, 2013 | 33 | 2013 |
Hybrid movement strategy in self-orienting directional sensor networks MA Guvensan, AG Yavuz Ad Hoc Networks 11 (3), 1075-1090, 2013 | 30 | 2013 |
Network intrusion detection using machine learning anomaly detection algorithms ME KarsligЕl, AG Yavuz, MA Güvensan, K Hanifi, H Bank 2017 25th Signal Processing and Communications Applications Conference (SIU …, 2017 | 25 | 2017 |
An energy-efficient multi-tier architecture for fall detection on smartphones MA Guvensan, AO Kansiz, NC Camgoz, HI Turkmen, AG Yavuz, ... Sensors 17 (7), 1487, 2017 | 22 | 2017 |
A closer look into the characteristics of fraudulent card transactions B Can, AG Yavuz, EM Karsligil, MA Guvensan IEEE Access 8, 166095-166109, 2020 | 17 | 2020 |
Activity Recognition on Smartphones: Efficient Sampling Rates and Window Sizes GMA Yamansavascilar Baris 2016 IEEE International Conference on Pervasive Computing and Communication …, 2016 | 14* | 2016 |
A new coverage improvement algorithm based on motility capability of directional sensor nodes MA Guvensan, AG Yavuz Ad-hoc, Mobile, and Wireless Networks: 10th International Conference, ADHOC …, 2011 | 14 | 2011 |
Breaking the limits of transportation mode detection: Applying deep learning approach with knowledge-based features J Iskanderov, MA Guvensan IEEE Sensors Journal 20 (21), 12871-12884, 2020 | 13 | 2020 |
A hybrid solution for coverage enhancement in directional sensor networks MA Guvensan, AG Yavuz Proceedings of the 7th International Conference on Wireless and Mobile …, 2011 | 9 | 2011 |
Mobil telefon ile kaza tespiti accident recognition using mobile phone AO Kansiz, MA Güvensan 2013 21st Signal Processing and Communications Applications Conference (SIU …, 2013 | 5 | 2013 |
Motility-based coverage enhancement in directional sensor networks MA Güvensan, AG Yavuz 2012 20th Signal Processing and Communications Applications Conference (SIU …, 2012 | 5 | 2012 |