Results 161 to 170 of about 375,041 (317)

An Efficient Parallel Algorithm for LISSOM Neural Network

open access: yes, 2009
We present a parallel algorithm for laterally interconnected synergetically self-organizing map (LISSOM) neural network, a self-organizing map with lateral excitatory and inhibitory connections, to enhance the computational efficiency. A general strategy
Chang, Li-Chiu;Chang,Fi-John   +1 more
core  

On the resonances of an inhomogeneous dielectric ball, coated with graphene

open access: yesИзвестия высших учебных заведений. Поволжский регион: Физико-математические науки
Background. The purpose of the work is the development, software implementation and testing of algorithms designed to find resonant frequencies in an inhomogeneous dielectric ball coated with graphene.
O.S. Skvortsov
doaj   +1 more source

Advanced Electron Microscopy and Microcomputed Tomography Analysis of Single‐Crystal Ni‐Base Superalloys After Short‐Term Multiaxial Creep

open access: yesAdvanced Engineering Materials, EarlyView.
This work studies the anisotropic behavior of circular notched tensile specimens of Ni‐base superalloy single crystals during high‐temperature tensile creep along [001], [110], and [111]. Correlative scale‐bridging imaging of specimens reveals early rupture along [110] because 1) plastic deformation proceeds faster at notch center; 2) more (brittle ...
Leonardo Agudo Jácome   +6 more
wiley   +1 more source

Linear predicted two-pass hexagonal algorithm with parallel implementation for motion estimation

open access: yes, 2005
This paper presents a paralleled two-pass hexagonal (TPA) algorithm constituted by linear hashtable motion estimation algorithm (LHMEA) and hexagonal search (HEXBS) for motion estimation.
Megson, G.M., Wu, Y.
core  

A New Parallel Memetic Algorithm for the Close-Enough Traveling Salesman Problem

open access: yesDüzce Üniversitesi Bilim ve Teknoloji Dergisi
The Close-Enough Traveling Salesman Problem (CETSP) is a generalization of the classical TSP, where each target is associated with a disk-shaped neighborhood and is considered visited when any point within this region is reached.
Deniz Cantürk
doaj   +1 more source

All‐in‐One Analog AI Hardware: On‐Chip Training and Inference with Conductive‐Metal‐Oxide/HfOx ReRAM Devices

open access: yesAdvanced Functional Materials, EarlyView.
An all‐in‐one analog AI accelerator is presented, enabling on‐chip training, weight retention, and long‐term inference acceleration. It leverages a BEOL‐integrated CMO/HfOx ReRAM array with low‐voltage operation (<1.5 V), multi‐bit capability over 32 states, low programming noise (10 nS), and near‐ideal weight transfer.
Donato Francesco Falcone   +11 more
wiley   +1 more source

GBPSA: An Efficient Grid-Based Parallel Scoring Algorithm for Spatiotemporal Coverage Analysis of Large-Scale Remote Sensing Data

open access: yesIEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
Efficient selection of optimal spatiotemporal coverage from massive remote sensing datasets is a critical bottleneck in operational data centers, limiting real-time applications.
Yuekun Sun   +5 more
doaj   +1 more source

Laser‐Induced Graphene from Waste Almond Shells

open access: yesAdvanced Functional Materials, EarlyView.
Almond shells, an abundant agricultural by‐product, are repurposed to create a fully bioderived almond shell/chitosan composite (ASC) degradable in soil. ASC is converted into laser‐induced graphene (LIG) by laser scribing and proposed as a substrate for transient electronics.
Yulia Steksova   +9 more
wiley   +1 more source

Intermediate Resistive State in Wafer‐Scale Vertical MoS2 Memristors Through Lateral Silver Filament Growth for Artificial Synapse Applications

open access: yesAdvanced Functional Materials, EarlyView.
In MOCVD MoS2 memristors, a current compliance‐regulated Ag filament mechanism is revealed. The filament ruptures spontaneously during volatile switching, while subsequent growth proceeds vertically through the MoS2 layers and then laterally along the van der Waals gaps during nonvolatile switching.
Yuan Fa   +19 more
wiley   +1 more source

Optoelectronic Synaptic Devices Using Molecular Telluride Phase‐Change Inks for Three‐Factor Learning

open access: yesAdvanced Functional Materials, EarlyView.
Optoelectronic synaptic devices based on solution‐processed molecular telluride GST‐225 phase‐change inks are demonstrated for three‐factor learning. A global optical signal broadcast through a silicon waveguide induces non‐volatile conductance updates exclusively in locally electrically flagged memristors.
Kevin Portner   +14 more
wiley   +1 more source

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