Results 61 to 70 of about 119,277 (283)

Approximate Conservation Laws of Nonvariational Differential Equations

Mathematics, 2019
The concept of an approximate multiplier (integrating factor) is introduced. Such multipliers are shown to give rise to approximate local conservation laws for differential equations that admit a small perturbation.
Sameerah Jamal
doaj   +1 more source

An Accuracy Dynamically Configurable FFT Processor Based on Approximate Computing

Shanghai Jiaotong Daxue xuebao, 2022
In order to meet the different requirements of circuit targets in various scenarios, an accuracy configurable fast Fourier transform (FFT) processor based on the concept of approximate circuit is proposed.
MA Liping, ZHANG Xiaoyu, BAI Yuxin, CHEN Xin, ZHANG Ying
doaj   +1 more source

High-dimensional simultaneous inference with the bootstrap

, 2016
We propose a residual and wild bootstrap methodology for individual and simultaneous inference in high-dimensional linear models with possibly non-Gaussian and heteroscedastic errors.
Bühlmann, Peter, Dezeure, Ruben, Zhang, Cun-Hui   +2 more
core   +1 more source

Changes in Immune‐Inflammation Status and Acute Ischemic Stroke Prognosis in Prospective Cohort

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Background Inflammation is a critical risk factor for poor outcomes in cerebral infarction. Prior studies focused primarily on baseline inflammation status, neglecting dynamic longitudinal changes. We try to investigate the association between immune‐inflammation status alterations and stroke prognosis, and evaluated three systemic biomarkers'
Songfang Chen, Wenting Huang, Yitian Liu, Xuan Chen, Buyu Ke, Qian Shen, Hanyu Cai, Jing Sun, Yan Li, Yungang Cao, Beilei Hu, Keyang Chen   +11 more
wiley   +1 more source

A Low-Power DNN Accelerator With Mean-Error-Minimized Approximate Signed Multiplier

IEEE Open Journal of Circuits and Systems
Approximate computing is an emerging and effective method for reducing energy consumption in digital circuits, which is critical for energy-efficient performance improvement of edge-computing devices. In this paper, we propose a low-power DNN accelerator
Laimin Du, Leibin Ni, Xiong Liu, Guanqi Peng, Kai Li, Wei Mao, Hao Yu   +6 more
doaj   +1 more source

An Application of He's Variational Iteration Method for Solving Duffing - Van Der Pol Equation [PDF]

Al-Rafidain Journal of Computer Sciences and Mathematics, 2013
In this paper, we apply He's variational iteration method (VIM) and the Adomian decomposition method (ADM) to approximate the solution of Duffing-Van Der Pol equation (DVP).
Ann Al-Sawoor, Merna Samarchi
doaj   +1 more source

The McCance Brain Care Score and Mortality: Evidence From a Large‐Scale Population‐Based Cohort

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objectives This study aimed to examine the relationship between the McCance Brain Care Score (BCS) and mortality in the general population. Methods We conducted a prospective, population‐based cohort study using data from the UK Biobank. Participants with complete data enabling calculation of BCS and full mortality information were included ...
Zhiqiang Xu, Xiaoxiao Wang, Nan Li
wiley   +1 more source

AMCAL: Approximate Multiplier With the Configurable Accuracy Levels for Image Processing and Convolutional Neural Network

IEEE Access
Multiplication is a necessary arithmetic operation in signal processing and machine learning algorithms. This paper proposes a novel method called Approximate Multiplier with Configurable Accuracy Levels (AMCAL) to obtain energy and area savings.
Reza Zendegani, Saeed Safari
doaj   +1 more source

Use of Symptomatic Drug Treatment for Fatigue in Multiple Sclerosis and Patterns of Work Loss

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective To describe the use of central stimulants and amantadine for fatigue in MS and evaluate a potential association with reduced work loss in people with MS. Methods We conducted a nationwide, matched, register‐based cohort study in Sweden (2006 to 2023) using national registers with prospective data collection.
Simon Englund, Johan Reutfors, Thomas Frisell, Fredrik Piehl   +3 more
wiley   +1 more source

COMPARATIVE STUDY OF MATHEMATICAL MODEL OF EBOLA VIRUS DISEASE VIA USING DIFFERENTIAL TRANSFORM METHOD AND VARIATION OF ITERATION METHOD [PDF]

Matrix Science Mathematic, 2019
This study investigates the application of differential transformation method and variational iteration method in finding the approximate solution of Ebola model.
Ghazala Nazir, Shaista Gul
doaj   +1 more source