Results 81 to 90 of about 28,962 (257)
An Efficient-Energy Charge-Domain Convolution Operator for CNN
IEEE AccessThis paper proposes a compact and low-power mixed-signal approach for implementing a convolutional operator in the charge domain. The circuit integrates a voltage divider with selector circuits to perform multiplications using multibit weights ranging ...
Jose-Angel Diaz-Madrid +3 more
doaj +1 more source
The Binomial Combinatorial Convolution Sums
British Journal of Mathematics & Computer Science, 2014 In [1] we can find some formulas of binomial combinatorial convolution sums. Starting from these formulas, we obtain various binomial combinatorial convolution sums.
openaire +1 more source
Arthritis Care &Research, Accepted Article.Objective For cartilage morphology to serve as a scalable endpoint in clinical trials, analyses should be performed automatically without human interaction. To clinically validate artificial intelligence (AI)‐based analysis, we studied cartilage loss from MRI prior to knee replacement.
Felix Eckstein +3 more
wiley +1 more source
AxiomsExplicit formulas for graphical Stirling and Bell numbers are known for relatively few graph families. We derive exact expressions for three classes whose independence structure admits a complete combinatorial description: complete multipartite graphs ...
Julian Allagan +2 more
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Multibunch and multiparticle simulation code with an alternative approach to wakefield effects
Physical Review Special Topics. Accelerators and Beams, 2015 The simulation of beam dynamics in the presence of collective effects requires a strong computational effort to take into account, in a self-consistent way, the wakefield acting on a given charge and produced by all the others.
M. Migliorati, L. Palumbo
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Numerical analysis of the unintegrated double gluon distribution
Journal of High Energy Physics, 2018 We present detailed numerical analysis of the unintegrated double gluon distribution which includes the dependence on the transverse momenta of partons. The unintegrated double gluon distribution was obtained following the Kimber-Martin-Ryskin method as ...
Edgar Elias +2 more
doaj +1 more source
dynoGP: Deep Gaussian Processes for Dynamic System Identification
International Journal of Adaptive Control and Signal Processing, EarlyView.This work introduces a novel class of deep models for system identification, dynamical deep Gaussian processes, which combine the strengths of data‐driven methods, such as those based on neural network architectures, with the ability to output a probability distribution for uncertainty representation.
Alessio Benavoli +2 more
wiley +1 more source
Deep Generalized Convolutional Sum-Product Networks
, 2019 Sum-Product Networks (SPNs) are hierarchical, graphical models that combine benefits of deep learning and probabilistic modeling. SPNs offer unique advantages to applications demanding exact probabilistic inference over high-dimensional, noisy inputs. Yet, compared to convolutional neural nets, they struggle with capturing complex spatial relationships
Jos van de Wolfshaar, Andrzej Pronobis
openaire +3 more sources
A Workflow to Accelerate Microstructure‐Sensitive Fatigue Life Predictions
Advanced Engineering Materials, EarlyView.This study introduces a workflow to accelerate predictions of microstructure‐sensitive fatigue life. Results from frameworks with varying levels of simplification are benchmarked against published reference results. The analysis reveals a trade‐off between accuracy and model complexity, offering researchers a practical guide for selecting the optimal ...
Luca Loiodice +2 more
wiley +1 more source
Advanced Engineering Materials, EarlyView.Low‐cycle fatigue damage in Mn–Mo–Ni reactor pressure vessel steel is examined using a combined electron backscatter diffraction and positron annihilation lifetime spectroscopy approach. The study correlates texture evolution, dislocation substructure development, and vacancy‐type defect formation across uniform, necked, and fracture regions, providing
Apu Sarkar +2 more
wiley +1 more source