A CARDIOLOGY APPLICATION USING AN ARTIFICIAL NEURAL NETWORK MODEL [PDF]
, 1999 Mohammed Shokr +2 more
openalex +1 more source
Integration of Artificial Neural Network Regression and Principal Component Analysis for Indoor Visible Light Positioning. [PDF]
Sensors (Basel)Fite NB, Wegari GM, Steendam H.
europepmc +1 more source
Organic Ferroelectric Synaptic Transistors for Neural Image Recognition Networks
Advanced Materials Interfaces, EarlyView.All organic transistors, where both the dielectric and semiconducting layers are polymeric, are developed as electrical synaptic devices. Two copolymers of PVDF as the dielectric layer with large differences in their saturation polarizability and memory window are chosen.
Evan Restuccia +2 more
wiley +1 more source
Response to Response to Letter Regarding "An Artificial Neural Network-Based Model to Predict Chronic Kidney Disease in Aged Cats". [PDF]
J Vet Intern MedWun MK.
europepmc +1 more source
Photoactive Monolayer MoS2 for Spiking Neural Networks Enabled Machine Vision Applications
Advanced Materials Technologies, EarlyView.Molybdenum disulfide (MoS2) optoelectronic devices are implemented as Leaky Integrate‐and‐Fire (LIF) neurons in spiking neural networks (SNNs), where light‐induced photocurrent dynamics represent potentiation (τd) and depression (τd), emulating neuronal membrane potential.
Thiha Aung +5 more
wiley +1 more source
Separation of gluon jets and b-jets with a low pT muon using ATLAS Tile Calorimeter simulation data and artificial neural networks technique [PDF]
, 1997 A. Astvatsaturov +5 more
openalex +1 more source
Artificial Neural Network-Assisted Facial Analysis for Planning of Orthognathic Surgery. [PDF]
J Clin Exp DentBarbosa LM +5 more
europepmc +1 more source
Biological and Mechanical Limitations for Chronic Fast‐Scan Cyclic Voltammetry Sensor Design
Advanced Materials Technologies, EarlyView.Real‐time detection of neurochemicals has demonstrated value in the field of neuroscience. However, current methods have limitations for use in the chronic setting, which is often the ideal environment for research. This article discusses these limitations, as well as technologies that have been developed to overcome them, and provides recommendations ...
Mason L. Perillo +6 more
wiley +1 more source
Artificial neural networks in pathology and medical laboratories
, 1995 Richard Dybowski, Vanya Gant
openalex +1 more source
A survey of artificial neural network in wind energy systems
Applied Energy, 2018 A. P. Marugán +3 more
semanticscholar +1 more source