Results 71 to 80 of about 11,113 (194)

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

Neural Successive Cancellation Polar Decoder With Tanh-Based Modified LLR Over FSO Turbulence Channel

open access: yesIEEE Photonics Journal, 2020
The neural successive cancellation (NSC) decoder with tanh-based modified log-likelihood ratio (LLR) is proposed for reducing the decoding latency of polar codes over free space optical (FSO) turbulence channel.
Jiafei Fang   +6 more
doaj   +1 more source

Design of Rate-Compatible Polar Codes Based on Non-Uniform Channel Polarization

open access: yesIEEE Access, 2021
In this article we propose a technique for polar codes (PC) construction for any code length. By default, PC construction is limited to code length proportional to the power of two.
Robert M. Oliveira, Rodrigo C. De Lamare
doaj   +1 more source

Faulty Successive Cancellation Decoding of Polar Codes for the Binary Erasure Channel

open access: yes, 2017
In this paper, faulty successive cancellation decoding of polar codes for the binary erasure channel is studied. To this end, a simple erasure-based fault model is introduced to represent errors in the decoder and it is shown that, under this model ...
Balatsoukas-Stimming, Alexios   +1 more
core   +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

AI Hallucinations in Tourism: How Errors Impact Consumer Trust and Recommendation Acceptance

open access: yesJournal of Consumer Behaviour, EarlyView.
ABSTRACT Generative artificial intelligence (GenAI) is quickly transforming travel planning; however, its outputs can include hallucinations, which are plausible yet false statements that can undermine user judgement. Eliminating hallucinations in GenAI technology is currently impossible.
Francisco Rejón‐Guardia   +2 more
wiley   +1 more source

Chained successive cancellation decoding of the extended Golay code [PDF]

open access: yes2018 Iran Workshop on Communication and Information Theory (IWCIT), 2018
The extended Golay code is shown to be representable as a chained polar subcode. This enables its decoding with the successive cancellation algorithm and its stack generalization. The decoder can be further simplified by employing fast Hadamard transform. The complexity of the obtained algorithm is comparable with that of the Vardy algorithm.
openaire   +2 more sources

Computational and Machine‐Learning Studies of Ethylene Oligomerization

open access: yesCarbon and Hydrogen, EarlyView.
This review focuses on recent advances in computational and machine‐learning studies of ethylene oligomerization, highlighting mainstream catalyst systems based on Co, Ta, Ti, Zr, and Hf, with particular emphasis on Fe‐ and Cr‐based catalysts and their controlling factors governing reactivity and LAO distribution.
Zhixin Qin   +3 more
wiley   +1 more source

Algorithm and Architecture for Path Metric Aided Bit-Flipping Decoding of Polar Codes

open access: yes, 2019
Polar codes attract more and more attention of researchers in recent years, since its capacity achieving property. However, their error-correction performance under successive cancellation (SC) decoding is inferior to other modern channel codes at short ...
Chen, Lirui   +4 more
core   +1 more source

Ultrafast in‐memory computing and highly efficient deep neural networks driven by phase‐change memory materials with partially amorphous state transitions

open access: yesInfoScience, EarlyView.
This work addresses challenges including the nonlinear weight‐conductance update and the trade‐off between increasing melting uniformity and reducing solid‐to‐liquid transition time. It utilizes all four melting states to create an integrated framework for attaining in‐memory computing and deep neural network applications. The framework achieves a near‐
Kian‐Guan Lim   +7 more
wiley   +1 more source

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