Results 111 to 120 of about 72,594 (306)

AI–Guided 4D Printing of Carnivorous Plants–Inspired Microneedles for Accelerated Wound Healing

open access: yesAdvanced Materials, EarlyView.
This work presents an artificial intelligence (AI)‐guided 4D‐printed microneedle platform inspired by carnivorous plants for wound healing. A thermo‐responsive shape memory polymer enables body temperature–triggered self‐coiling for autonomous wound closure.
Hyun Lee   +21 more
wiley   +1 more source

A novel family of generalized stochastic neural network operators with illustrations of their various capabilities

open access: yesAin Shams Engineering Journal
This study introduces a novel family of generalized stochastic neural network (GSNN) operators with enhanced modeling and approximation capabilities.
Abeer Aljohani
doaj   +1 more source

A Stationary Stochastic Approximation Algorithm for Estimation in the GLMM

open access: yes, 2008
Estimation in generalized linear mixed models is challenging because the marginal likelihood is an integral without closed form. In many of the leading approaches such as Laplace approximation and Monte Carlo integration, the marginal likelihood is ...
Chang, Sheng-Mao
core  

Path‐Decoupled Cation‐Eutaxy III–V van der Waals Memristive Semiconductors for Mitigating the Neuromorphic Accuracy‐Energy Trade‐off

open access: yesAdvanced Materials, EarlyView.
Path‐decoupled III–V van der Waals memtransistors spatially separate ionic and electronic transport to overcome the conventional trade‐off between accuracy and energy in neuromorphic hardware. Mobile K+ ions in the vdW gaps set a wide conductance window, Gmax/Gmin, while gate‐tunable hole conduction lowers programming energy, enabling reliable ...
Jihong Bae   +13 more
wiley   +1 more source

Impact of the Gaussian Approximation on the Performance of the Probabilistic Data Association MIMO Decoder

open access: yesEURASIP Journal on Wireless Communications and Networking, 2005
The probabilistic data association (PDA) decoder is investigated for use in coded multiple-input multiple-output (MIMO) systems and its strengths and weaknesses are determined. The conventional PDA decoder includes two approximations.
Sandell Magnus   +3 more
doaj  

Statistical approximation of multicriteria problems of stochastic programming

open access: yesДоповiдi Нацiональної академiї наук України
The article validates an approximation technique for solving multiobjective stochastic optimization problems. As a generalized model of a stochastic system to be optimized, a vector "input–random output" system is considered.
B.V. Norkin
doaj   +1 more source

Network flow-control using asynchronous stochastic approximation

open access: yes, 2007
We propose several stochastic approximation implementations for related algorithms in flow-control of communication networks. First, a discrete-time implementation of Kelly's primal flow-control algorithm is proposed.
Bhatnagar, Shalabh   +1 more
core  

Weaving Intelligence: Thermally Drawn Multimaterial Fibers Toward AI‐Enabled Smart Textiles

open access: yesAdvanced Materials, EarlyView.
Thermally drawn multimaterial fibers are rapidly advancing as intelligent structural units for next‐generation smart textiles. Integrating multimaterial architectures with neuromorphic and spiking‐neural‐network principles enables fabrics that can sense, compute, and adapt autonomously.
Vuong Dinh Trung   +9 more
wiley   +1 more source

Super‐Resolution Ultrasound Based Cell Tracking With Polymeric Nanobubbles

open access: yesAdvanced Materials, EarlyView.
This study presents a super‐resolution ultrasound platform for tracking cells in vivo. Biocompatible polymeric nanobubbles are used as highly echogenic intracellular labels. Following the injection of cells and microbubbles, ultrasound localization microscopy (ULM) can dynamically match the microvascular architecture and individual cell trajectories ...
Junlin Chen   +19 more
wiley   +1 more source

Uncertainty Quantification in Computational Electromagnetics: The stochastic approach [PDF]

open access: yes, 2013
Models in electromagnetism are more and more accurate. In some applications, the gap between the experience and the model comes from the deviation on input data of the model which are not perfectly known.
CLENET, Stephane
core  

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