Results 81 to 90 of about 853,385 (276)

An application and modelling on the artificial neural network to the RHV Tube [PDF]

open access: yesRevista Română de Informatică și Automatică
Artificial neural networks represent highly advanced and adaptable tools for addressing challenges, attributed to their capacity for learning through examples and forming generalisations.
Murat Eray KORKMAZ
doaj   +1 more source

Artificial Neural Networks [PDF]

open access: yesJournal of the Royal Society of Medicine, 1999
D, Partridge, S, Rae, W J, Wang
openaire   +2 more sources

Artificial Neural Network Pruning to Extract Knowledge

open access: yes, 2020
Artificial Neural Networks (NN) are widely used for solving complex problems from medical diagnostics to face recognition. Despite notable successes, the main disadvantages of NN are also well known: the risk of overfitting, lack of explainability ...
Mirkes, Evgeny M
core  

Bioactive Conductive Ti3C2Tx‐Ce Hydrogel Facilitates Spinal Cord Injury Repair Through ROS Scavenging and Mitochondrial Regulation

open access: yesAdvanced Functional Materials, EarlyView.
Bioactive conductive Ti3C2Tx‐Ce hydrogels with with scavenging ROS and alleviating neuronal mitochondrial dysfunction are exploited for SCI treatment. This functionality is attributed to interfacial activation modification of Ti3C2Tx with Ce3+ ions to in‐situ form Ce(OH)x‐mediated protective layer, which is beneficial to enabling stable intracellular ...
Weikang Wang   +12 more
wiley   +1 more source

Research on Anti-Interference Performance of Spiking Neural Network Under Network Connection Damage

open access: yesBrain Sciences
Background: With the development of artificial intelligence, memristors have become an ideal choice to optimize new neural network architectures and improve computing efficiency and energy efficiency due to their combination of storage and computing ...
Yongqiang Zhang   +5 more
doaj   +1 more source

Neural Networks for Impact Parameter Determination

open access: yes, 1996
An accurate impact parameter determination in a heavy ion collision is crucial for almost all further analysis. The capabilities of an artificial neural network are investigated to that respect.
Bass, S. A.   +4 more
core   +1 more source

Atomic Layer Deposition in Transistors and Monolithic 3D Integration

open access: yesAdvanced Functional Materials, EarlyView.
Transistors are fundamental building blocks of modern electronics. This review summarizes recent progress in atomic layer deposition (ALD) for the synthesis of two‐dimensional (2D) metal oxides and transition‐metal dichalcogenides (TMDCs), with particular emphasis on their enabling role in monolithic three‐dimensional (M3D) integration for next ...
Yue Liu   +5 more
wiley   +1 more source

A Wavelet Neural Network for SAR Image Segmentation

open access: yesSensors, 2009
This paper proposes a wavelet neural network (WNN) for SAR image segmentation by combining the wavelet transform and an artificial neural network. The WNN combines the multiscale analysis ability of the wavelet transform and the classification capability
Fa-Yu Wang, Xian-Bin Wen, Hua Zhang
doaj   +1 more source

Analysis of Neural Networks for Edge Detection [PDF]

open access: yes, 2002
This paper illustrates a novel method to analyze artificial neural networks so as to gain insight into their internal functionality. To this purpose, the elements of a feedforward-backpropagation neural network, that has been trained to detect edges in ...
Slump, Kees   +2 more
core   +2 more sources

Kinetic Regimes of Hydrogen Absorption in Thin Films

open access: yesAdvanced Functional Materials, EarlyView.
Knowledge of the hydrogen incorporation mechanisms in thin layers in relation to the amount absorbed is essential to design coatings and devices compatible with hydrogen‐based technologies. A combination of simultaneous in situ methods gives detailed insight into the hydrogenation of a prototypical hydrogen absorber layer in a time‐dependent manner ...
Laura Guasco   +7 more
wiley   +1 more source

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