Results 121 to 123 of about 561 (123)

The Potential of Spiking Neural Networks in Predicting Earthquakes in New Zealand

31th International Conference on Neural Information Processing (ICONIP) abstracts
This study investigates the use of Spiking Neural Networks (SNNs) in earthquake prediction, focusing on New Zealand, a seismically active region. Traditional earthquake prediction methods struggle with accuracy and real-time warning capabilities.
Zhaoxin Wang, Maryam Doborjeh
semanticscholar   +1 more source

NeuCube(ST) for spatio-temporal data predictive modelling with a case study on ecological data

IEEE International Joint Conference on Neural Network, 2014
E. Tu, N. Kasabov, Muhaini Othman, Yuxiao Li, S. Worner, Jie Yang, Zhenghong Jia   +6 more
semanticscholar   +1 more source

Integrating Local STDP and Global Backpropagation Learning Using Spike-Time and Spike-Rate Representations for Improved Classification of Spatiotemporal Data in the Neucube Brain Inspired Evolving Spiking Neural Network Architecture: A Case Study on EEG Brain Data

2023
Xuanle Zhou, Maryam Doborjeh, Nikola Kasabov, Zohreh Doborjeh   +3 more
openaire   +1 more source