Results 1 to 10 of about 15,646 (263)

Brain inspired neuronal silencing mechanism to enable reliable sequence identification

open access: yesScientific Reports, 2022
Real-time sequence identification is a core use-case of artificial neural networks (ANNs), ranging from recognizing temporal events to identifying verification codes.
Shiri Hodassman   +7 more
doaj   +1 more source

Characterizing Satellite Geometry via Accelerated 3D Gaussian Splatting

open access: yesAerospace
The accelerating deployment of spacecraft in orbit has generated interest in on-orbit servicing (OOS), inspection of spacecraft, and active debris removal (ADR).
Van Minh Nguyen   +3 more
doaj   +1 more source

Novel multi‐domain attention for abstractive summarisation

open access: yesCAAI Transactions on Intelligence Technology, 2023
The existing abstractive text summarisation models only consider the word sequence correlations between the source document and the reference summary, and the summary generated by models lacks the cover of the subject of source document due to models ...
Chunxia Qu   +4 more
doaj   +1 more source

Synaptic Hyaluronan Synthesis and CD44-Mediated Signaling Coordinate Neural Circuit Development

open access: yesCells, 2021
The hyaluronan-based extracellular matrix is expressed throughout nervous system development and is well-known for the formation of perineuronal nets around inhibitory interneurons.
Emily S. Wilson, Karen Litwa
doaj   +1 more source

Comparing Human Activity Recognition Models Based on Complexity and Resource Usage

open access: yesApplied Sciences, 2021
Human Activity Recognition (HAR) is a field with many contrasting application domains, from medical applications to ambient assisted living and sports applications.
Simon Angerbauer   +3 more
doaj   +1 more source

Empirical Approaches to the Application of Mathematical Techniques in Health Technologies [PDF]

open access: yesInternational Journal Bioautomation, 2013
Mathematical modeling of ageing is built in this paper around research and development activities in cooperation with pharmaceutical companies and hospitals.
Anthony Shannon, Hung Nguyen
doaj  

A deep LSTM‐CNN based on self‐attention mechanism with input data reduction for short‐term load forecasting

open access: yesIET Generation, Transmission & Distribution, 2023
Numerous studies on short‐term load forecasting (STLF) have used feature extraction methods to increase the model's accuracy by incorporating multidimensional features containing time, weather and distance information.
Shiyan Yi   +4 more
doaj   +1 more source

Gesture recognition algorithm based on multi‐scale feature fusion in RGB‐D images

open access: yesIET Image Processing, 2023
With the rapid development of sensor technology and artificial intelligence, the video gesture recognition technology under the background of big data makes human‐computer interaction more natural and flexible, bringing richer interactive experience to ...
Ying Sun   +6 more
doaj   +1 more source

On the computational power of neural nets

open access: yesProceedings of the fifth annual workshop on Computational learning theory, 1992
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Hava T. Siegelmann, Eduardo D. Sontag
openaire   +2 more sources

Comparative Analysis of Neural Networking and Regression Models for Time Series Forecasting

open access: yesЦифровая трансформация, 2019
Applicability of neural nets in time series forecasting has been considered and researched. For this, training of neural network on various time series with preliminary selection of optimal hyperparameters has been performed.
S. V. Sholtanyuk
doaj   +1 more source

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