Wavelet neural networks for ground resistance estimation [PDF]
, 2014 Alexandridis, Antonis +3 more
core
Tunable Tactile Synapses Enabled by Erasable Doping in Iongel‐Gated Nanotube Network Transistors
Advanced Functional Materials, EarlyView.Artificial tactile synaptic sensors are realized by an iongel‐gated single‐walled carbon nanotube (SWCNT) transistor with reversible doping characteristics. The device senses and memorizes tactile stimuli and exhibits gate bias‐dependent excitatory or inhibitory synaptic behavior.
Yan Huang +5 more
wiley +1 more source
Application of IRSA-BP neural network in diagnosing diabetes. [PDF]
PLoS OneZhang WH, Zhang ZX.
europepmc +1 more source
Self‐organized Criticality in Neuromorphic Nanowire Networks With Tunable and Local Dynamics
Advanced Functional Materials, EarlyView.Memristive nanowire networks (NWNs) are shown to be electrically tunable to a critical state where specific local dynamics evaluated by multiterminal characterization are exploited as feature selection in nonlinear transformation (NLT) tasks.
Fabio Michieletti +3 more
wiley +1 more source
The Intrinsic Dimension of Neural Network Ensembles. [PDF]
Entropy (Basel)Tosti Guerra F +2 more
europepmc +1 more source
Identification of parallelism in neural networks by simulation with language J. [PDF]
, 1993 Alexei N. Skurihin, Alvin J. Surkan
openalex +1 more source
Carbon Nanotube 3D Integrated Circuits: From Design to Applications
Advanced Functional Materials, EarlyView.As Moore's law approaches its physical limits, carbon nanotube (CNT) 3D integrated circuits (ICs) emerge as a promising alternative due to the miniaturization, high mobility, and low power consumption. CNT 3D ICs in optoelectronics, memory, and monolithic ICs are reviewed while addressing challenges in fabrication, design, and integration.
Han‐Yang Liu +3 more
wiley +1 more source
Random heterogeneous spiking neural network for adversarial defense. [PDF]
iScienceWang J +5 more
europepmc +1 more source
Presynaptic control of modulatory fibers by their neural network targets [PDF]
, 1992 Michael P. Nusbaum +3 more
openalex +1 more source
Autonomous Control of Extrusion Bioprinting Using Convolutional Neural Networks
Advanced Functional Materials, EarlyView.This work presents a novel computer vision system for high‐fidelity monitoring of extrusion‐based bioprinting and a correction system utilizing convolutional neural networks for error mitigation. This system has demonstrated high detection accuracy and extrusion correction abilities that advance the state of the art toward accelerated printing ...
Daniel Kelly +4 more
wiley +1 more source