Results 141 to 150 of about 8,004 (293)

Quantization and the Resolvent Algebra

open access: yes, 2019
We introduce a novel commutative C*-algebra $C_\mathcal{R}(X)$ of functions on a symplectic vector space $(X,σ)$ admitting a complex structure, along with a strict deformation quantization that maps a dense subalgebra of $C_\mathcal{R}(X)$ to the ...
van Nuland, Teun D. H.   +1 more
core   +1 more source

A Memristor‐Based In‐Memory Computing System‐on‐Chip with Efficient Depthwise Convolution

open access: yesAdvanced Intelligent Systems, EarlyView.
We present a memristor‐based in‐memory computing (IMC) architecture that enables efficient depthwise convolution (DWC) acceleration. Fabricated in a system‐on‐chip with crossbar arrays, the design improves memory utilization. Experimental validation demonstrates the first hardware acceleration of DWC in IMC, achieving a digital comparable inference ...
Wenhao Song   +21 more
wiley   +1 more source

Ultrasonic Rainbow: A Meta‐Transducer for Frequency‐Selective Elastic Wave Control via Dithering‐Based Wavenumber Tuning

open access: yesAdvanced Intelligent Systems, EarlyView.
A piezoelectric meta‐transducer generates an ultrasonic rainbow, steering guided elastic waves to different angles according to frequency. A dithering‐based binary electrode design enables a closer realization of the target wavenumber filter, improving directional purity and suppressing unwanted lobes. Numerical and experimental validation demonstrates
Masoud Mohammadgholiha   +5 more
wiley   +1 more source

Retinal Vessel Segmentation: A Comprehensive Review From Classical Methods to Deep Learning Advances (1982–2025)

open access: yesAdvanced Intelligent Systems, EarlyView.
Four decades of retinal vessel segmentation research (1982–2025) are synthesized, spanning classical image processing, machine learning, and deep learning paradigms. A meta‐analysis of 428 studies establishes a unified taxonomy and highlights performance trends, generalization capabilities, and clinical relevance.
Avinash Bansal   +6 more
wiley   +1 more source

Input Sparsity‐Aware Computing‐In‐Memory with Bidirectional Conversion‐Skippable Analog‐to‐Digital Converter

open access: yesAdvanced Intelligent Systems, EarlyView.
This article introduces an input sparsity‐aware computing‐in‐memory macro featuring novel bidirectional conversion‐skippable analog‐to‐digital converters. By dynamically adjusting resolution based on element‐level sparsity, the architecture skips redundant most significant bit and least significant bit conversions.
Choongseok Song   +2 more
wiley   +1 more source

The quantization effect on doppler filter response

open access: yes, 1981
In digital signal processing, quantization is one of the main problems in implementing digital filters. This quantization generates different kind of errors in the frequency response of the filters.
Haque, Mohamad Azizul
core  

Explainable AI‐Driven Optimization of Electrode Activation Reduces Power Consumption While Preserving Object Recognition in Retinal Prostheses

open access: yesAdvanced Intelligent Systems, EarlyView.
Explainable artificial intelligence (XAI) guides selective electrode activation in retinal prostheses by emphasizing visually informative regions. XAI‐assisted phosphene generation maintains object recognition performance while significantly reducing stimulation power.
Sein Kim, Hamin Shim, Maesoon Im
wiley   +1 more source

Markovian and product quantization of an $\mathbb R^d$-valued Euler scheme of a diffusion process with applications to finance

open access: yes, 2019
International audienceWe introduce a new approach to quantize the Euler scheme of an $\mathbb R^d$-valued diffusion process. This method is based on a Markovian and componentwise product quantization and allows us, from a numerical point of view, to ...
Lucio, Fiorin   +2 more
core   +1 more source

An Image Quantization of Product Form Design Method Based on Form Feature Lines

open access: yes工程科学与技术, 2011
:Since the psychological feelings of products are decided by the three dimensional form feature lines,a product form design method based on quantizing form feature lines was put forward.Based on the Kansei engineering technology,the form perceptual ...
doaj  

Electroencephalogram‐Driven Recognition of Parkinson's Disease Through a Mycelium‐Inspired Memristive Reservoir Computing Circuit

open access: yesAdvanced Intelligent Systems, EarlyView.
This work presents a bio‐inspired computing framework for Parkinson's disease analog recognition using electroencephalogram signals. Temporally encoded EEG features stimulate a mycelium‐inspired memristive reservoir, where disease‐related patterns emerge through physical spatiotemporal dynamics.
Ioannis K. Chatzipaschalis   +5 more
wiley   +1 more source

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