A comparison of wireless geolocation algorithms in the indoor environment M Kanaan, K Pahlavan 2004 IEEE wireless communications and networking conference (IEEE Cat. No …, 2004 | 106 | 2004 |
A comparative performance evaluation of indoor geolocation technologies A Hatami, B Alavi, K Pahlavan, M Kanaan Interdisciplinary Information Sciences 12 (2), 133-146, 2006 | 35 | 2006 |
CN-TOAG: A new algorithm for indoor geolocation M Kanaan, K Pahlavan 2004 IEEE 15th International Symposium on Personal, Indoor and Mobile Radio …, 2004 | 34 | 2004 |
Algorithm for TOA-based indoor geolocation M Kanaan, K Pahlavan Electronics Letters 40 (22), 1, 2004 | 21 | 2004 |
A novel frequency-dependent path loss model for ultra wideband implant body area networks M Kanaan, M Suveren Measurement 68, 117-127, 2015 | 19 | 2015 |
Technical aspects of localization in indoor wireless networks M Kanaan, M Heidari, FO Akgul, K Pahlavan Bechtel Telecommunications Technical Journal 5 (1), 47-58, 2006 | 19 | 2006 |
A study of the effects of reference point density on TOA-based UWB indoor positioning systems M Kanaan, FO Akgul, B Alavi, K Pahlavan 2006 IEEE 17th International Symposium on Personal, Indoor and Mobile Radio …, 2006 | 18 | 2006 |
In‐Body Ranging with Ultra‐Wideband Signals: Techniques and Modeling of the Ranging Error M Kanaan, M Suveren Wireless Communications and Mobile Computing 2017 (1), 4313748, 2017 | 17 | 2017 |
Multilevel thresholding segmentation of color plant disease images using metaheuristic optimization algorithms R Akay, RAA Saleh, SMO Farea, M Kanaan Neural Computing and Applications 34 (2), 1161-1179, 2022 | 16 | 2022 |
ROADM deployment, challenges, and applications RS Bernhey, M Kanaan National Fiber Optic Engineers Conference, NWD1, 2007 | 15 | 2007 |
5d magnetic localization for wireless capsule endoscopy using the levenberg-marquardt method and artificial bee colony algorithm M Suveren, M Kanaan 2019 IEEE 30th International Symposium on Personal, Indoor and Mobile Radio …, 2019 | 13 | 2019 |
Proactive monitoring and classification of stored grain condition via wireless sensor networks and machine learning techniques M Kanaan, CK Bavkara 2018 2nd International Symposium on Multidisciplinary Studies and Innovative …, 2018 | 9 | 2018 |
A new propagation modeling technique for ultra-wideband implant body area networks based on a neural network architecture M Kanaan, M Suveren Neural Computing and Applications 28, 3603-3615, 2017 | 6 | 2017 |
Ranging based on maximum likelihood techniques for ultra wideband medical implants M Kanaan 2011 IEEE 22nd International Symposium on Personal, Indoor and Mobile Radio …, 2011 | 6 | 2011 |
On the bandwidth dependency of near-field effects in UWB implant body area networks M Kanaan, M Suveren, ÖG Saraçoǧlu Proceedings of the 8th International Conference on Body Area Networks, 553-557, 2013 | 5 | 2013 |
Performance benchmarking of toa-based uwb indoor geolocation systems using mse profiling M Kanaan, FO Akgul, B Alavi, K Pahlavan IEEE Vehicular Technology Conference, 1-5, 2006 | 5 | 2006 |
A comparison of wireless geolocalization algorithms in the indoor environment M Kanaan, K Pahlavan IEEE Wireless Communications and Networking Conference (WCNC 2004), Atlanta …, 2004 | 5 | 2004 |
Localization of an ultra wide band wireless endoscopy capsule inside the human body using received signal strength and centroid algorithm M Suveren, R Akay, M Kanaan An International Journal of Optimization and Control: Theories …, 2022 | 4 | 2022 |
On the relationship between antenna parameters and near-field effects for UWB implant body area networks M Kanaan, C Koçer, M Suveren 2014 8th International Symposium on Medical Information and Communication …, 2014 | 4 | 2014 |
On the Use of Artificial Intelligence Techniques in Crop Monitoring and Disease Identification M Kanaan, R Akay, CK Baykara Precision Agriculture Technologies for Food Security and Sustainability, 166-186, 2021 | 3 | 2021 |