This study introduces an affordable machine learning platform for simultaneous dengue and zika detection using fluorine‐doped tin oxide thin films modified with gold nanoparticles and DNA aptamers. Designed for low‐cost, hardware‐limited devices (< $25), the model achieves 95.3% accuracy and uses only 9.4 kB of RAM, demonstrating viability for resource‐
Marina Ribeiro Batistuti Sawazaki +3 more
wiley +1 more source
Memristors based on trimethylsulfonium (phenanthroline)tetraiodobismuthate have been utilised as a nonlinear node in a delayed feedback reservoir. This system allowed an efficient classification of acoustic signals, namely differentiation of vocalisation of the brushtail possum (Trichosurus vulpecula).
Ewelina Cechosz +4 more
wiley +1 more source
BayesianSpikeFusion: accelerating spiking neural network inference via Bayesian fusion of early prediction. [PDF]
Habara T, Sato T, Awano H.
europepmc +1 more source
Flexible tactile sensors have considerable potential for broad application in healthcare monitoring, human–machine interfaces, and bioinspired robotics. This review explores recent progress in device design, performance optimization, and intelligent applications. It highlights how AI algorithms enhance environmental adaptability and perception accuracy
Siyuan Wang +3 more
wiley +1 more source
Estimating orientation in natural scenes: A spiking neural network model of the insect central complex. [PDF]
Stentiford R +4 more
europepmc +1 more source
An efficient intrusion detection model based on convolutional spiking neural network. [PDF]
Wang Z +4 more
europepmc +1 more source
Physics-Informed Spiking Neural Networks via Conservative Flux Quantization [PDF]
Zhang, Chi, Wang, Lin
openalex
Review on spiking neural network-based ECG classification methods for low-power environments. [PDF]
Choi H, Park J, Lee J, Sim D.
europepmc +1 more source
LDD: High-Precision Training of Deep Spiking Neural Network Transformers Guided by an Artificial Neural Network. [PDF]
Liu Y, Zhao C, Jiang Y, Fang Y, Chen F.
europepmc +1 more source
Formation and retrieval of cell assemblies in a biologically realistic spiking neural network model of area CA3 in the mouse hippocampus. [PDF]
Kopsick JD +3 more
europepmc +1 more source

