Results 81 to 90 of about 4,524 (286)
Approximate Duals Introduced by Multipliers and Their Role in the Reconstruction of Signals
Paper pages (237-252) Introduction Frames for Hilbert spaces were first introduced by Duffin and Schaeffer in 1952 to study some problems in nonharmonic Fourier series, reintroduced in 1986 by Daubechies, Grossmann and Meyer.
Morteza Mirzaee Azandaryani +1 more
doaj
ABSTRACT Objective To (1) validate GAD65‐ELISA detection and quantification for type 1 diabetes mellitus and autoimmune neurological diagnoses, (2) correlate ELISA results (reference range < 5 IU/mL) with established radioimmunoprecipitation assay (RIA; ≤ 0.02 nmol/L), and (3) define ELISA clinical utility and pitfalls.
Andrew McKeon +11 more
wiley +1 more source
High-Performance Accurate and Approximate Multipliers for FPGA-Based Hardware Accelerators
Multiplication is one of the widely used arithmetic operations in a variety of applications, such as image/video processing and machine learning. FPGA vendors provide high-performance multipliers in the form of DSP blocks.
Shafique, Muhammad +3 more
core +1 more source
Impact of using approximate FP multipliers in a neural network [PDF]
En els últims anys, computació aproximada ha estat un dels temes més populars en camps com el reconeixement d'imatges, l'anàlisi d'imatges, el processament del llenguatge.
Jin, Leixin
core +1 more source
ABSTRACT Background and Purpose White matter hyperintensities (WMH) are a core neuroimaging marker of cerebral small vessel disease (CSVD). Sleep apnoea (SA) is a recognized vascular risk factor, but its associations with regional WMH burden, short‐interval WMH change and cognitive performance in population‐based cohorts remain incompletely defined. We
Peng Cheng +4 more
wiley +1 more source
A multiplier, as a key component in many different applications, is a time-consuming, energy-intensive computation block. Approximate computing is a practical design paradigm that attempts to improve hardware efficacy while keeping computation quality ...
Fakeri-Tabrizi, Ali +3 more
core +1 more source
Leveraging Highly Approximated Multipliers in DNN Inference
In this work, we present our control variate approximation technique that enables the exploitation of highly approximate multipliers in Deep Neural Network (DNN) accelerators.
Georgios Zervakis +5 more
doaj +1 more source
ABSTRACT Background Collaterals are crucial factors that influence the infarct growth rate (IGR). We aimed to determine whether a comprehensive multimodal collateral score (MCS), incorporating collateral assessment at the arterial, tissue, and venous levels, is associated with functional independence and provides incremental prognostic value over ...
Giorgio Busto +12 more
wiley +1 more source
Peripheral Neutrophil Activation and Extracellular Trap Formation in Amyotrophic Lateral Sclerosis
Markers of neutrophil activation are increased in plasma during ALS, and markers of NET formation associate with ALS survival. ABSTRACT Objectives Peripheral neutrophil levels in amyotrophic lateral sclerosis (ALS) inversely correlate with survival, suggesting a role for neutrophils in disease progression.
Lillia A. Baird +9 more
wiley +1 more source
Cost-Efficient Approximate Log Multipliers for Convolutional Neural Networks [PDF]
The breakthroughs in multi-layer convolutional neural networks (CNNs) have caused significant progress in the applications of image classification and recognition.
Kim, Min Soo
core

