Results 101 to 110 of about 247,748 (272)

Reconstruction of LDPC code sparse check matrix based on modified LBP decoding

open access: yesTongxin xuebao
In order to reconstruct the sparse check matrix of LDPC code, a sparse check matrix reconstruction algorithm for LDPC code at high BER was proposed based on modified LBP decoding.
ZHANG Tianqi   +3 more
doaj   +2 more sources

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

Pruning-Based Sparse Recovery for Electrocardiogram Reconstruction from Compressed Measurements

open access: yesSensors, 2017
Due to the necessity of the low-power implementation of newly-developed electrocardiogram (ECG) sensors, exact ECG data reconstruction from the compressed measurements has received much attention in recent years.
Jaeseok Lee, Kyungsoo Kim, Ji-Woong Choi
doaj   +1 more source

Wafer‐Scale Single‐Crystal Boron Nitride: Synthesis and Integration in 2D Electronics

open access: yesAdvanced Materials Interfaces, EarlyView.
This Review highlights recent breakthroughs in wafer‐scale hBN synthesis and its integration into next‐generation 2D electronics. We analyze growth kinetics, epitaxial strategies, and stacking‐sequence control while correlating material quality with device performance.
Jaewon Wang, Soon‐Yong Kwon
wiley   +1 more source

End‐to‐End Sensing Systems for Breast Cancer: From Wearables for Early Detection to Lab‐Based Diagnosis Chips

open access: yesAdvanced Materials Technologies, EarlyView.
This review explores advances in wearable and lab‐on‐chip technologies for breast cancer detection. Covering tactile, thermal, ultrasound, microwave, electrical impedance tomography, electrochemical, microelectromechanical, and optical systems, it highlights innovations in flexible electronics, nanomaterials, and machine learning.
Neshika Wijewardhane   +4 more
wiley   +1 more source

Underwater 3D sound speed field reconstruction based on block term tensor decomposition

open access: yesFrontiers in Physics
The three-dimensional sound speed field (SSF) is of great significance in underwater acoustic research; however, the high cost of maritime observation often leads to sparse and limited measurement data, making accurate SSF reconstruction a challenging ...
Hao Wu, Maofa Wang, Jiabao Zhao
doaj   +1 more source

Bidirectional Process Prediction in the Laser‐Induced‐Graphene Production Using Blackbox Deep Learning

open access: yesAdvanced Materials Technologies, EarlyView.
This study shows that a lightweight blackbox neural network provides a practical, cost‐effective solution for bidirectional process prediction in laser‐induced graphene (LIG) fabrication. Achieving high predictive performance with minimal overhead, the approach democratizes machine learning (ML) for resource‐limited environments.
Maxim Polomoshnov   +3 more
wiley   +1 more source

Tensor-Based Sparse Representation for Hyperspectral Image Reconstruction Using RGB Inputs

open access: yesMathematics
Hyperspectral image (HSI) reconstruction from RGB input has drawn much attention recently and plays a crucial role in further vision tasks. However, current sparse coding algorithms often take each single pixel as the basic processing unit during the ...
Yingtao Duan   +3 more
doaj   +1 more source

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