Results 161 to 170 of about 2,420,336 (400)
On the use of artificial neural networks to model sound quality [PDF]
, 1994 Peter C. Laux, Patricia Davies
openalex +1 more source
Advanced Functional Materials, EarlyView.The negative differential resistance is exploited, using a La0.67Sr0.33MnO3 thin film network to demonstrate various neuronal functionalities of the human brain, such as leaky‐integrate‐fire and oscillatory patterns. Transmission electron microscope studies show local modification in oxygen octahedra in the network leads to co‐existing phases ...
Azminul Jaman +6 more
wiley +1 more source
An artificial neural network model of human sound localization [PDF]
, 1992 Timothy R. Anderson +2 more
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Advanced Functional Materials, EarlyView.This review synthesizes the evolution of radiative heat transfer, emphasizing the transition from far‐field to near‐field regimes. Traditional frameworks, such as Planck's law, are revisited alongside modern innovations like fluctuational electrodynamics. Applications span nanoscale thermal management, energy harvesting, and thermophotovoltaic systems.
Ambali Alade Odebowale +6 more
wiley +1 more source
Cortex Neural Network: learning with Neural Network groups [PDF]
arXiv, 2018 Neural Network has been successfully applied to many real-world problems, such as image recognition and machine translation. However, for the current architecture of neural networks, it is hard to perform complex cognitive tasks, for example, to process the image and audio inputs together. Cortex, as an important architecture in the brain, is important
arxiv
Biointerfacing with AgBiS2 Quantum Dots for Pseudocapacitive Photostimulation
Advanced Functional Materials, EarlyView.It is demonstrated that AgBiS2 quantum dots exhibit unique photoinduced pseudocapacitive charge transfer properties, enabling efficient light‐to‐electrical energy conversion. These quantum dots facilitate enhanced light absorption and transduction when integrated with ZnO nanowires, which serve as an effective charge transport medium.
Ridvan Balamur +8 more
wiley +1 more source
Meta-Learning Evolutionary Artificial Neural Networks [PDF]
Neurocomputing Journal, Elsevier Science, Netherlands, Vol. 56c,
pp. 1-38, 2004, 2004 In this paper, we present MLEANN (Meta-Learning Evolutionary Artificial Neural Network), an automatic computational framework for the adaptive optimization of artificial neural networks wherein the neural network architecture, activation function, connection weights; learning algorithm and its parameters are adapted according to the problem.
arxiv
Real time application of artificial neural network for incipient fault detection of induction machines [PDF]
, 1990 Mo–Yuen Chow, Sui Oi Yee
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Tin‐Based 2D/3D Perovskite Vertical Heterojunction for High‐Performance Synaptic Phototransistors
Advanced Functional Materials, EarlyView.Phototransistors based on tin‐based 2D/3D perovskite heterostructures show an ultrahigh responsivity and detectivity at a low gate voltage across a broad wavelength region from ultraviolet to near‐infrared. The devices can replicate neuromorphic learning and remembering behaviors to light stimuli, in addition to electric depression and memory erasure ...
Hok‐Leung Loi +10 more
wiley +1 more source
Measurement + Control, 2019 Increased utilization of nonlinear loads and fault event on the power system have resulted in a decline in the quality of power provided to the customers.
K Karthikumar +2 more
doaj +1 more source