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ORCIDRyan M. Gibson
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2020 – today
- 2024
[c11]Kelvin N. Lawal, Titus K. Olaniyi
, Ryan M. Gibson:
CRISP-DM User Mobility Determined IoT Placement Within a Real-World Smart Building for Resource Efficient Fog Computing Environments. SAI (4) 2024: 520-542- 2022
- [j9]Eugen Harinda, Andrew J. Wixted, Ayyaz-Ul-Haq Qureshi, Hadi Larijani, Ryan M. Gibson:
Performance of a Live Multi-Gateway LoRaWAN and Interference Measurement across Indoor and Outdoor Localities. Comput. 11(2): 25 (2022) - [j8]Winfred Ingabire, Hadi Larijani, Ryan M. Gibson, Ayyaz-Ul-Haq Qureshi:
LoRaWAN Based Indoor Localization Using Random Neural Networks. Inf. 13(6): 303 (2022) - [j7]Syed Yaseen Shah, Hadi Larijani, Ryan M. Gibson, Dimitrios Liarokapis:
Random Neural Network Based Epileptic Seizure Episode Detection Exploiting Electroencephalogram Signals. Sensors 22(7): 2466 (2022) - [c10]Kelvin N. Lawal, Titus K. Olaniyi, Ryan M. Gibson:
A Fog Computing-Based Efficient Data Management Smart Home Architecture. FTC (2) 2022: 233-257 - 2021
- [j6]Winfred Ingabire, Hadi Larijani, Ryan M. Gibson, Ayyaz-Ul-Haq Qureshi:
Outdoor Node Localization Using Random Neural Networks for Large-Scale Urban IoT LoRa Networks. Algorithms 14(11): 307 (2021) - [c9]Ryan M. Gibson, Gordon Morison:
Improving Student Engagement and Active Learning with Embedded Automated Self-assessment Quizzes: Case Study in Computer System Architecture Design. SAI (3) 2021: 327-339 - [c8]Winfred Ingabire, Hadi Larijani, Ryan M. Gibson:
LoRa RSSI Based Outdoor Localization in an Urban Area Using Random Neural Networks. SAI (2) 2021: 1032-1043 - 2020
- [j5]Ahsen Tahir, Gordon Morison, Dawn A. Skelton, Ryan M. Gibson:
A Novel Functional Link Network Stacking Ensemble with Fractal Features for Multichannel Fall Detection. Cogn. Comput. 12(5): 1024-1042 (2020) - [j4]Ahsen Tahir, Gordon Morison, Dawn A. Skelton, Ryan M. Gibson:
Hardware/Software Co-design of Fractal Features based Fall Detection System. Sensors 20(8): 2322 (2020) - [c7]Syed Yaseen Shah, Hadi Larijani, Ryan M. Gibson, Dimitrios Liarokapis:
A Novel Random Neural Network-based Fall Activity Recognition. UCET 2020: 1-4
2010 – 2019
- 2019
- [c6]Eugen Harinda, Hadi Larijani, Ryan M. Gibson:
Trace-Driven Simulation for LoRaWan868 MHz Propagation in an Urban Scenario. UCET 2019: 1-5 - [c5]Eugen Harinda, Salaheddin Hosseinzadeh, Hadi Larijani, Ryan M. Gibson:
Comparative Performance Analysis of Empirical Propagation Models for LoRaWAN 868MHz in an Urban Scenario. WF-IoT 2019: 154-159 - 2017
- [j3]Ryan M. Gibson, Abbes Amira, Naeem Ramzan, Pablo Casaseca-de-la-Higuera, Zeeshan Pervez:
Matching pursuit-based compressive sensing in a wearable biomedical accelerometer fall diagnosis device. Biomed. Signal Process. Control. 33: 96-108 (2017) - 2016
- [j2]Ryan M. Gibson, Abbes Amira, Naeem Ramzan, Pablo Casaseca-de-la-Higuera, Zeeshan Pervez:
Multiple comparator classifier framework for accelerometer-based fall detection and diagnostic. Appl. Soft Comput. 39: 94-103 (2016) - [c4]Naeem Ramzan, Sebastian Palke, Thomas Cuntz, Ryan M. Gibson, Abbes Amira:
Emotion Recognition by Physiological Signals. HVEI 2016: 1-6 - 2015
- [c3]Mohammed Dali, Ryan M. Gibson, Abbes Amira, Abdelrezak Guessoum, Naeem Ramzan:
An efficient MIMO-OFDM radix-2 Single-Path Delay Feedback FFT implementation on FPGA. AHS 2015: 1-7 - 2014
- [c2]Ryan M. Gibson, Abbes Amira, Pablo Casaseca-de-la-Higuera, Naeem Ramzan, Zeeshan Pervez:
An efficient user-customisable multiresolution classifier fall detection and diagnostic system. ICM 2014: 228-231 - 2013
- [j1]Ryan M. Gibson, Ali Ahmadinia, Scott G. McMeekin, Niall C. Strang, Gordon Morison:
A reconfigurable real-time morphological system for augmented vision. EURASIP J. Adv. Signal Process. 2013: 134 (2013) - 2012
- [c1]Ryan M. Gibson, Scott G. McMeekin, Ali Ahmadinia, Niall C. Strang, Gordon Morison:
Evaluation of Visual Aid Enhancement Algorithms for Real-time Embedded Systems. HPCC-ICESS 2012: 1762-1769
Coauthor Index
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