Evaluation of Visual Aid Enhancement Algorithms for Real-time Embedded Systems. - Ryan M. Gibson; Scott G. McMeekin; Ali Ahmadinia; Niall C. Strang; Gordon Morison (HPCC-ICESS, 2012)

A reconfigurable real-time morphological system for augmented vision. - Ryan M. Gibson; Ali Ahmadinia; Scott G. McMeekin; Niall C. Strang; Gordon Morison (EURASIP J. Adv. Signal Process., 2013)

An efficient user-customisable multiresolution classifier fall detection and diagnostic system. - Ryan M. Gibson; Abbes Amira; Pablo Casaseca-de-la-Higuera; Naeem Ramzan; Zeeshan Pervez (ICM, 2014)

An efficient MIMO-OFDM radix-2 Single-Path Delay Feedback FFT implementation on FPGA. - Mohammed Dali; Ryan M. Gibson; Abbes Amira; Abdelrezak Guessoum; Naeem Ramzan (AHS, 2015)

Emotion Recognition by Physiological Signals. - Naeem Ramzan; Sebastian Palke; Thomas Cuntz; Ryan M. Gibson; Abbes Amira (HVEI, 2016)

Multiple comparator classifier framework for accelerometer-based fall detection and diagnostic. - Ryan M. Gibson; Abbes Amira; Naeem Ramzan; Pablo Casaseca-de-la-Higuera; Zeeshan Pervez (Appl. Soft Comput., 2016)

Matching pursuit-based compressive sensing in a wearable biomedical accelerometer fall diagnosis device. - Ryan M. Gibson; Abbes Amira; Naeem Ramzan; Pablo Casaseca-de-la-Higuera; Zeeshan Pervez (Biomed. Signal Process. Control., 2017)

Trace-Driven Simulation for LoRaWan868 MHz Propagation in an Urban Scenario. - Eugen Harinda; Hadi Larijani; Ryan M. Gibson (UCET, 2019)

Comparative Performance Analysis of Empirical Propagation Models for LoRaWAN 868MHz in an Urban Scenario. - Eugen Harinda; Salaheddin Hosseinzadeh; Hadi Larijani; Ryan M. Gibson (WF-IoT, 2019)

A Novel Random Neural Network-based Fall Activity Recognition. - Syed Yaseen Shah; Hadi Larijani; Ryan M. Gibson; Dimitrios Liarokapis (UCET, 2020)

A Novel Functional Link Network Stacking Ensemble with Fractal Features for Multichannel Fall Detection. - Ahsen Tahir; Gordon Morison; Dawn A. Skelton; Ryan M. Gibson (Cogn. Comput., 2020)

Hardware/Software Co-design of Fractal Features based Fall Detection System. - Ahsen Tahir; Gordon Morison; Dawn A. Skelton; Ryan M. Gibson (Sensors, 2020)

Improving Student Engagement and Active Learning with Embedded Automated Self-assessment Quizzes: Case Study in Computer System Architecture Design. - Ryan M. Gibson; Gordon Morison (SAI (3), 2021)

LoRa RSSI Based Outdoor Localization in an Urban Area Using Random Neural Networks. - Winfred Ingabire; Hadi Larijani; Ryan M. Gibson (SAI (2), 2021)

Outdoor Node Localization Using Random Neural Networks for Large-Scale Urban IoT LoRa Networks. - Winfred Ingabire; Hadi Larijani; Ryan M. Gibson; Ayyaz-Ul-Haq Qureshi (Algorithms, 2021)

A Fog Computing-Based Efficient Data Management Smart Home Architecture. - Kelvin N. Lawal; Titus K. Olaniyi; Ryan M. Gibson (FTC (2), 2022)

Performance of a Live Multi-Gateway LoRaWAN and Interference Measurement across Indoor and Outdoor Localities. - Eugen Harinda; Andrew J. Wixted; Ayyaz-Ul-Haq Qureshi; Hadi Larijani; Ryan M. Gibson (Comput., 2022)

LoRaWAN Based Indoor Localization Using Random Neural Networks. - Winfred Ingabire; Hadi Larijani; Ryan M. Gibson; Ayyaz-Ul-Haq Qureshi (Inf., 2022)

Random Neural Network Based Epileptic Seizure Episode Detection Exploiting Electroencephalogram Signals. - Syed Yaseen Shah; Hadi Larijani; Ryan M. Gibson; Dimitrios Liarokapis (Sensors, 2022)

CRISP-DM User Mobility Determined IoT Placement Within a Real-World Smart Building for Resource Efficient Fog Computing Environments. - Kelvin N. Lawal; Titus K. Olaniyi; Ryan M. Gibson (SAI (4), 2024)