Results 61 to 70 of about 43,195,377 (268)

vinayakumarr/text-classification-using-tflearn v1

open access: yes, 2019
text classification using deep ...
Vinayakumar R
core   +1 more source

Hybrid Biofabrication of a Hierarchically Organized Periosteum‐Inspired In Vitro Platform

open access: yesAdvanced Healthcare Materials, EarlyView.
A hybrid biofabrication strategy integrates melt electrowriting with extrusion‐based 3D bioprinting to create a hierarchically organized periosteum‐inspired in vitro platform. Spatially defined osteogenic, fibrous, and endothelial cell‐containing compartments support long‐term culture, osteogenic maturation, and CD31+ endothelial cell organization ...
Yakui Liu   +7 more
wiley   +1 more source

KACST Arabic Text Classification Project: Overview and Preliminary Results

open access: yes, 2008
Electronically formatted Arabic free-texts can be found in abundance these days on the World Wide Web, often linked to commercial enterprises and/or government organizations. Vast tracts of knowledge and relations lie hidden within these texts, knowledge
Al-Rajeh, A.   +4 more
core   +1 more source

A Radical-Aware Attention-Based Model for Chinese Text Classification

open access: yes, 2019
Recent years, Chinese text classification has attracted more and more research attention. However, most existing techniques which specifically aim at English materials may lose effectiveness on this task due to the huge difference between Chinese and ...
Xu, Tong   +5 more
core   +1 more source

Bioinspired Adaptive Sensors: A Review on Current Developments in Theory and Application

open access: yesAdvanced Materials, EarlyView.
This review comprehensively summarizes the recent progress in the design and fabrication of sensory‐adaptation‐inspired devices and highlights their valuable applications in electronic skin, wearable electronics, and machine vision. The existing challenges and future directions are addressed in aspects such as device performance optimization ...
Guodong Gong   +12 more
wiley   +1 more source

LEAD: Literature Enhanced Ab Initio Discovery of Nitride Dusting Layers for Enhanced Tunnel Magnetoresistance and Lower Resistance Magnetic Tunnel Junctions

open access: yesAdvanced Materials, EarlyView.
Magnetic tunnel junctions (MTJs) using MgO tunnel barriers face challenges of high resistance‐area product and low tunnel magnetoresistance (TMR). To discover alternative materials, Literature Enhanced Ab initio Discovery (LEAD) is developed. The LEAD‐predicted materials are theoretically evaluated, showing that MTJs with dusting of ScN or TiN on ...
Sabiq Islam   +6 more
wiley   +1 more source

Organic Materials of Tomorrow: Horizons of Artificial Intelligence

open access: yesAdvanced Materials, EarlyView.
This review examines machine learning techniques accelerating the discovery of organic semiconductors by linking molecular structure to properties. Key methods include graph neural networks, generative models, and active learning. Applications to organic photovoltaics demonstrate practical impact.
Harold Mena   +3 more
wiley   +1 more source

Customizable Piezo‐Transmittance‐Based Multiaxial Force Sensor With Deep‐Learning‐Assisted Sensing

open access: yesAdvanced Materials Technologies, EarlyView.
Development of a soft tri‐axis piezo‐transmittance sensor with integrated LEDs and photodiodes enables multidirectional force sensing through deformation‐induced optical modulation. A tailored 1D convolutional neural network provides real‐time force direction and intensity prediction, achieving 99.6% classification accuracy and a mean squared error of ...
Filippo Peruzzi   +6 more
wiley   +1 more source

TBLC-rAttention: A Deep Neural Network Model for Recognizing the Emotional Tendency of Chinese Medical Comment

open access: yesIEEE Access, 2020
In the current paper, a hybrid depth neural network model, TBLC-rAttention, aiming at Chinese text emotion recognition, is proposed to identify the emotional tendency of the Chinese medical reviews.
Qibing Jin   +5 more
doaj   +1 more source

Spatial Stiffness Programming in Single‐Filament Material Extrusion Through Data‐Driven Thermal Foaming

open access: yesAdvanced Materials Technologies, EarlyView.
Single‐filament material extrusion enables spatial stiffness programming through locally controlled thermal foaming of TPU. A data‐driven G‐code framework tunes porosity from 15.7% to 40.7% and hardness from 90 to 63 Shore A within and across layers. Monolithic hands and soft actuators consequently achieve distinct programmed motions without material ...
Rosanna Rifino   +3 more
wiley   +1 more source

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