Results 101 to 110 of about 4,524 (286)
ApproxTrain: Fast Simulation of Approximate Multipliers for DNN Training and Inference
, 2022 Edge training of Deep Neural Networks (DNNs) is a desirable goal for continuous learning; however, it is hindered by the enormous computational power required by training.
Saadat, Hassaan +5 more
core
International Journal of Adaptive Control and Signal Processing, EarlyView.This article proposes a convergent adaptive observer for a damped wave PDE and an infinite‐dimensional ODE coupled in cascade using sampled‐in‐space ODE state measurements. The proposed observer estimates the distributed states of the PDE and ODE along with unknown PDE parameters and spatial input.
Zehor Belkhatir +2 more
wiley +1 more source
Tongxin xuebao, 1984 This paper presents the model of approximate broken-line elastance for the step recovery diode （SRD） in case where transition time is not zero （t（?）≠0）.
Wei Zonglu
doaj +2 more sources
Advanced Engineering Materials, Volume 27, Issue 6, March 2025.ErB4 and NdB4 nanostructured powders are produced by mechanochemical synthesis. 5 h mechanical alloying and 4 M HCl acid leaching are used in the production. ErB4 and NdB4 powders exhibit maximum magnetization of 0.4726 emu g−1 accompanied with an antiferromagnetic‐to‐paramagnetic phase transition at about TN = 18 K and 0.132 emu g−1 with a maximum at ...
Burçak Boztemur +5 more
wiley +1 more source
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
Modeling the effects of power efficient approximate multipliers in radio astronomy correlators [PDF]
Large scale Radio Telescopes for Radio Astronomy highly depend on the availability of large (digital) processing capacities for imaging. Estimates concerning power efficiency for future Radio Telescopes lead to anticipated power consumption numbers ...
Gillani, G.A. +2 more
core +1 more source
Toward Approximate Computing for Deep Learning in Embedded Systems: A Systematic Literature Review
IEEE AccessThe evolution of Deep Learning (DL) algorithms, coupled with the availability of vast amounts of data, has enabled superior accuracy across multiple Artificial Intelligence (AI) tasks.
Y. Rasheed +3 more
doaj +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
Fundamental approximate identities and quasi-multipliers of simple AF C∗-algebras
, 1988 We study C∗-algebras with fundamental approximate identities as a generalization of stable C∗-algebras, and show that the only separable, simple AF C∗-algebras for which the quasi-multipliers equal the left plus right multipliers are unital or ...
Lin, Huaxin
core +1 more source
Circuit Aware Approximate System Design With Case Studies in Image Processing and Neural Networks
IEEE Access, 2019 This paper aims to exploit approximate computing units in image processing systems and artificial neural networks. For this purpose, a general design methodology is introduced, and approximation-oriented architectures are developed for different ...
Tuba Ayhan, Mustafa Altun
doaj +1 more source