Ryan M. Gibson

Orcid: 0000-0003-1845-1750

According to our database1, Ryan M. Gibson authored at least 20 papers between 2012 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
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Online presence:

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Bibliography

2024
CRISP-DM User Mobility Determined IoT Placement Within a Real-World Smart Building for Resource Efficient Fog Computing Environments.
Proceedings of the Intelligent Computing, 2024

2022
Random Neural Network Based Epileptic Seizure Episode Detection Exploiting Electroencephalogram Signals.
Sensors, 2022

LoRaWAN Based Indoor Localization Using Random Neural Networks.
Inf., 2022

Performance of a Live Multi-Gateway LoRaWAN and Interference Measurement across Indoor and Outdoor Localities.
Comput., 2022

A Fog Computing-Based Efficient Data Management Smart Home Architecture.
Proceedings of the Future Technologies Conference, 2022

2021
Outdoor Node Localization Using Random Neural Networks for Large-Scale Urban IoT LoRa Networks.
Algorithms, 2021

LoRa RSSI Based Outdoor Localization in an Urban Area Using Random Neural Networks.
Proceedings of the Intelligent Computing, 2021

Improving Student Engagement and Active Learning with Embedded Automated Self-assessment Quizzes: Case Study in Computer System Architecture Design.
Proceedings of the Intelligent Computing, 2021

2020
Hardware/Software Co-design of Fractal Features based Fall Detection System.
Sensors, 2020

A Novel Functional Link Network Stacking Ensemble with Fractal Features for Multichannel Fall Detection.
Cogn. Comput., 2020

A Novel Random Neural Network-based Fall Activity Recognition.
Proceedings of the 2020 International Conference on UK-China Emerging Technologies, 2020

2019
Comparative Performance Analysis of Empirical Propagation Models for LoRaWAN 868MHz in an Urban Scenario.
Proceedings of the 5th IEEE World Forum on Internet of Things, 2019

Trace-Driven Simulation for LoRaWan868 MHz Propagation in an Urban Scenario.
Proceedings of the UK/China Emerging Technologies, 2019

2017
Matching pursuit-based compressive sensing in a wearable biomedical accelerometer fall diagnosis device.
Biomed. Signal Process. Control., 2017

2016
Multiple comparator classifier framework for accelerometer-based fall detection and diagnostic.
Appl. Soft Comput., 2016

Emotion Recognition by Physiological Signals.
Proceedings of the Human Vision and Electronic Imaging, 2016

2015
An efficient MIMO-OFDM radix-2 Single-Path Delay Feedback FFT implementation on FPGA.
Proceedings of the 2015 NASA/ESA Conference on Adaptive Hardware and Systems, 2015

2014
An efficient user-customisable multiresolution classifier fall detection and diagnostic system.
Proceedings of the 26th International Conference on Microelectronics, 2014

2013
A reconfigurable real-time morphological system for augmented vision.
EURASIP J. Adv. Signal Process., 2013

2012
Evaluation of Visual Aid Enhancement Algorithms for Real-time Embedded Systems.
Proceedings of the 14th IEEE International Conference on High Performance Computing and Communication & 9th IEEE International Conference on Embedded Software and Systems, 2012


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