Shvan Karim

According to our database, Shvan Karim authored at least 12 papers between 2016 and 2021.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2021

Feasibility of Sensor Technology for Balance Assessment in Home Rehabilitation Settings.

Daniel Kelly, Karla Muñoz Esquivel, James Gillespie, Joan Condell, Richard J. Davies, Shvan Karim, Elina Nevala, Antti Alamäki, Juha Jalovaara, John Barton, Salvatore Tedesco, Anna Nordström

Sensors, 2021

2020

AstroByte: Multi-FPGA Architecture for Accelerated Simulations of Spiking Astrocyte Neural Networks.

Shvan Karim, Jim Harkin, Liam McDaid, Bryan Gardiner, Junxiu Liu

Proceedings of the 2020 Design, Automation & Test in Europe Conference & Exhibition, 2020

2019

Exploring Self-Repair in a Coupled Spiking Astrocyte Neural Network.

Junxiu Liu, Liam McDaid, Jim Harkin, Shvan Karim, Anju P. Johnson, Alan G. Millard, James A. Hilder, David M. Halliday, Andy M. Tyrrell, Jon Timmis

IEEE Trans. Neural Networks Learn. Syst., 2019

Autonomous Learning Paradigm for Spiking Neural Networks.

Junxiu Liu, Liam McDaid, Jim Harkin, Shvan Karim, Anju P. Johnson, David M. Halliday, Andy M. Tyrrell, Jon Timmis, Alan G. Millard, James A. Hilder

Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2019: Theoretical Neural Computation, 2019

2018

Homeostatic Fault Tolerance in Spiking Neural Networks: A Dynamic Hardware Perspective.

Anju P. Johnson, Junxiu Liu, Alan G. Millard, Shvan Karim, Andy M. Tyrrell, Jim Harkin, Jon Timmis, Liam McDaid, David M. Halliday

IEEE Trans. Circuits Syst. I Regul. Pap., 2018

Fault-Tolerant Learning in Spiking Astrocyte-Neural Networks on FPGAs.

Anju P. Johnson, Junxiu Liu, Alan G. Millard, Shvan Karim, Andy M. Tyrrell, Jim Harkin, Jon Timmis, Liam McDaid, David M. Halliday

Proceedings of the 31st International Conference on VLSI Design and 17th International Conference on Embedded Systems, 2018

Time-multiplexed System-on-Chip using Fault-tolerant Astrocyte-Neuron Networks.

Anju P. Johnson, Junxiu Liu, Alan G. Millard, Shvan Karim, Andy M. Tyrrell, Jim Harkin, Jon Timmis, Liam McDaid, David M. Halliday

Proceedings of the IEEE Symposium Series on Computational Intelligence, 2018

FPGA-based Fault-injection and Data Acquisition of Self-repairing Spiking Neural Network Hardware.

Shvan Karim, Jim Harkin, Liam McDaid, Bryan Gardiner, Junxiu Liu, David M. Halliday, Andy M. Tyrrell, Jon Timmis, Alan G. Millard, Anju P. Johnson

Proceedings of the IEEE International Symposium on Circuits and Systems, 2018

2017

Assessing Self-Repair on FPGAs with Biologically Realistic Astrocyte-Neuron Networks.

Shvan Karim, Jim Harkin, Liam McDaid, Bryan Gardiner, Junxiu Liu, David M. Halliday, Andy M. Tyrrell, Jon Timmis, Alan G. Millard, Anju P. Johnson

Proceedings of the 2017 IEEE Computer Society Annual Symposium on VLSI, 2017

Self-repairing Learning Rule for Spiking Astrocyte-Neuron Networks.

Junxiu Liu, Liam McDaid, Jim Harkin, John J. Wade, Shvan Karim, Anju P. Johnson, Alan G. Millard, David M. Halliday, Andy M. Tyrrell, Jon Timmis

Proceedings of the Neural Information Processing - 24th International Conference, 2017

Homeostatic fault tolerance in spiking neural networks utilizing dynamic partial reconfiguration of FPGAs.

Anju P. Johnson, Junxiu Liu, Alan G. Millard, Shvan Karim, Andy M. Tyrrell, Jim Harkin, Jon Timmis, Liam McDaid, David M. Halliday

Proceedings of the International Conference on Field Programmable Technology, 2017

2016

An FPGA-based hardware-efficient fault-tolerant astrocyte-neuron network.

Anju P. Johnson, David M. Halliday, Alan G. Millard, Andy M. Tyrrell, Jon Timmis, Junxiu Liu, Jim Harkin, Liam McDaid, Shvan Karim

Proceedings of the 2016 IEEE Symposium Series on Computational Intelligence, 2016