Results 51 to 60 of about 826 (197)

Error-Aware SCFlip Decoding of Polar Codes

open access: yesIEEE Access, 2020
The successive-cancellation flip (SCFlip) decoder and its variants provide a significant coding gain with the average complexity practically identical to that of the successive cancellation (SC) decoder in a wide range of signal-to-noise ratios (SNRs ...
Daeyeol Yang, Kyeongcheol Yang
doaj   +1 more source

Advancing Efficient Error Reduction in DNA Data Storage Systems with Deep Learning‐Based Denoising Models

open access: yesAdvanced Intelligent Discovery, EarlyView.
Deep learning‐based denoising models are applied to DNA data storage systems to enhance error reduction and data fidelity. By integrating DnCNN with DNA sequence encoding methods, the study demonstrates significant improvements in image quality and correction of substitution errors, revealing a promising path toward robust and efficient DNA‐based ...
Seongjun Seo   +5 more
wiley   +1 more source

Fast Node Polar Decoding Method Based on Hybrid Parity Check and CRC

open access: yesIEEE Access
In the case of short code, polar code demonstrates superior performance compared with Low Density Parity Check (LDPC) code. Particularly in low coding rate scenario, the complexity of Polar code encoding and decoding is significantly lower than that of ...
Zongmiao He   +5 more
doaj   +1 more source

Soft-Output Successive Cancellation List Decoding

open access: yesIEEE Transactions on Information Theory
We introduce an algorithm for approximating the codebook probability that is compatible with all successive cancellation (SC)-based decoding algorithms, including SC list (SCL) decoding. This approximation is based on an auxiliary distribution that mimics the dynamics of decoding algorithms with an SC decoding schedule.
Peihong Yuan   +2 more
openaire   +2 more sources

Explaining the Origin of Negative Poisson's Ratio in Amorphous Networks With Machine Learning

open access: yesAdvanced Intelligent Discovery, EarlyView.
This review summarizes how machine learning (ML) breaks the “vicious cycle” in designing auxetic amorphous networks. By transitioning from traditional “black‐box” optimization to an interpretable “AI‐Physics” closed‐loop paradigm, ML is shown to not only discover highly optimized structures—such as all‐convex polygon networks—but also unveil hidden ...
Shengyu Lu, Xiangying Shen
wiley   +1 more source

Reinforcement Learning for Bit-Flipping Decoding of Polar Codes

open access: yesEntropy, 2021
A traditional successive cancellation (SC) decoding algorithm produces error propagation in the decoding process. In order to improve the SC decoding performance, it is important to solve the error propagation.
Xiumin Wang   +3 more
doaj   +1 more source

Decoding schedule generating method for successive‐cancellation decoder of polar codes

open access: yesIET Communications, 2016
Successive cancellation (SC) is the first and widely known decoder of polar codes, which has received a lot of attentions. However, its decoding schedule generating methods are still primitive. Based on a newly found factor, this study proposes an online method to generate the decoding schedule of SC decoder by a non‐recursive way.
Dan Le, Xianyan Wu, Xiamu Niu
openaire   +1 more source

AI‐Assisted IoT‐Enabled ECG Monitoring: Integrating Foundational and Generative AI Tools for Sustainable Smart Healthcare—Recent Trends

open access: yesAI &Innovation, EarlyView.
ABSTRACT The rapid evolution of the Internet of Things (IoT) has significantly advanced the field of electrocardiogram (ECG) monitoring, enabling real‐time, remote, and patient‐centric cardiac care. This paper presents a comprehensive survey of AI assisted IoT‐based ECG monitoring systems, focusing on the integration of emerging technologies such as ...
Amrita Choudhury   +2 more
wiley   +1 more source

Triboelectric nanogenerators for vehicle intelligent cockpits

open access: yesFlexMat, EarlyView.
Converting mechanical stimuli from drivers and vehicle motion into electrical signals, triboelectric nanogenerators provide promising interfaces toward passive, flexible, distributed and intelligent sensing for next‐generation automotive cockpits to support three core functional dimensions: driver state monitoring, vehicle state monitoring, and human ...
Haiqiu Tan   +9 more
wiley   +1 more source

Operating in perpetual motion? Coping with the dark side of global boundary spanning

open access: yesGlobal Strategy Journal, EarlyView.
Abstract Research Summary This paper explores how individuals experience and cope with the demands of global boundary spanning in multinational enterprises (MNEs). We foreground temporary colocation as a modality through which mobile global boundary spanners repeatedly traverse multiple boundaries, triggering intense demands with adverse consequences ...
Kieran M. Conroy   +2 more
wiley   +1 more source

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