Results 11 to 20 of about 2,502 (148)
Stochastic Arithmetic as a Tool to Study the Stability of Biological Models
Biomath, 2014 The theoretical study of the stability of the numerical solution of a differential system may be complicated or even not feasible when the system is large and nonlinear.
Rene Alt, Jean-Luc Lamotte
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A hardware architecture for numerical instability detection based on discrete stochastic arithmetic [PDF]
, 2011 Numerical validation of computed results is of great importance especially in sceintific computing. Due to the use of finite representation of real numbers, round-off errors are introduced and accumulated in arithmetic operations. Nowadays, softwares tend to run longer. This exaggerate the problem as the computed results would get severely contaminated
Baroud, Yousef
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Acceleration of Digital Stochastic Measurement Simulation Based on Concurrent Programming
Elektronika ir Elektrotechnika, 2018 A/D conversion methods improved through stochastic signal superposition, along with oversampling techniques present significant research direction in the area of signal processing and measurement.
Velibor Pjevalica +3 more
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Ain Shams Engineering Journal, 2020 The growth of demand, the need for economic efficiency and optimal utilisation of electric power networks and the high cost of construction of new power networks result in inevitable challenges, such as overloading and excessive power transfer along ...
Ahmad AL Ahmad, Reza Sirjani
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Journal of Open Research Software, 2017 DifferentialEquations.jl is a package for solving differential equations in Julia. It covers discrete equations (function maps, discrete stochastic (Gillespie/Markov) simulations), ordinary differential equations, stochastic differential equations ...
Christopher Rackauckas, Qing Nie
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Optimal execution strategy in liquidity framework
Cogent Economics & Finance, 2017 A trader wishes to execute a given number of shares of an illiquid asset. Since the asset price also depends on the trading behaviour, the trader main aim is to find the execution strategy that minimizes the related expected costs.
Chiara Benazzoli, Luca Di Persio
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The Spike Processing Unit (SPU): An IIR Filter Approach to Hardware-Efficient Spiking Neurons
ChipsThis paper presents the Spike Processing Unit (SPU), a digital spiking neuron model based on a discrete-time second-order Infinite Impulse Response (IIR) filter.
Hugo Puertas de Araújo
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Advanced Electronic Materials, EarlyView.In this work, low‐resolution infrared imaging is combined with a 28 nm FeFET IMC architecture to enable compact, energy‐efficient edge inference. MLC FeFET devices are experimentally characterized, and controlled multi‐level current accumulation is validated at crossbar array level.
Alptekin Vardar +9 more
wiley +1 more source
AIChE Journal, EarlyView.Abstract Transformer‐based molecular models pretrained on SMILES strings demonstrate strong performance in property prediction. However, these model often lack explicit integration of molecular surface charge distributions that govern intermolecular interactions such as hydrogen bonding and polarity.
Tae Hyun Kim +2 more
wiley +1 more source
Calibration‐Free Electromyography Motor Intent Decoding Using Large‐Scale Supervised Pretraining
Advanced Intelligent Systems, EarlyView.Calibration‐free electromyography motor intent decoding is enabled through large‐scale supervised pretraining across heterogeneous datasets. A Spatially Aware Feature‐learning Transformer processes variable channel counts and electrode geometries, allowing transfer across users and recording setups. On a held‐out benchmark, fine‐tuned cross‐user models
Alexander E. Olsson +3 more
wiley +1 more source