Results 31 to 40 of about 956 (179)
The graphical abstract gives an overview of the proposed RF‐SARSA framework used for offline Parkinson's disease and healthy‐control classification from resting‐state EEG signals. The EEG recordings are first cleaned through basic preprocessing steps and then divided into 2‐second windows.
Sanju S, S. Edward Rajan
wiley +1 more source
Sono‐Mechanogenetics: Linking Ultrasound Physics With Cellular Mechanobiology
Sono‐mechanogenetics links ultrasound physics with cellular mechanotransduction to enable noninvasive control of engineered biological systems. Acoustic forces generate distinct deformation modes that activate intracellular signaling pathways, which can be coupled to synthetic gene circuits to regulate diverse cellular functions, including gene ...
Yunjia Qu +4 more
wiley +1 more source
AN EFFICIENT VITERBI DECODER [PDF]
Convolutional encoding with Viterbi decoding is a good forward error correction technique suitable for channels affected by noise degradation. Fangled Viterbi decoders are variants of Viterbi decoder (VD) which decodes quicker and takes less memory with no error detection capability.
K. S. Arunlal, A. Hariprasad
openaire +3 more sources
Divergence coding for convolutional codes
In the paper we propose a new coding/decoding on the divergence principle. A new divergent multithreshold decoder (MTD) for convolutional self-orthogonal codes contains two threshold elements.
Valery Zolotarev +4 more
doaj +1 more source
Nanopore direct RNA sequencing and the epitranscriptome: Advances in mapping native RNA landscapes
Nanopore direct RNA sequencing advances transcriptomics by capturing full‐length transcripts and multiple RNA modifications; this review details its principles, workflows, tools, applications, challenges, and future research potential. Abstract Nanopore direct RNA sequencing (DRS) has transformed transcriptomics by enabling single‐molecule, long‐read ...
Tianyuan Zhang +27 more
wiley +1 more source
Named Entity Recognition Model Based on k-best Viterbi Decoupling Knowledge Distillation [PDF]
Knowledge distillation is a general approach to improve the performance of the named entity recognition (NER) models. However, the classical knowledge distillation loss functions are coupled, which leads to poor logit distillation.
ZHAO Honglei, TANG Huanling, ZHANG Yu, SUN Xueyuan, LU Mingyu
doaj +1 more source
ABSTRACT Alnus glutinosa is one of only three lineages within the order Fagales capable of establishing root nodule symbiosis (RNS). Although a fragmented genome assembly of A. glutinosa was previously available, its limited quality, combined with the lack of comprehensive transcriptomic resources, has constrained in‐depth comparative and functional ...
Zijian Liu +11 more
wiley +1 more source
Research of fast decoding for longer constraint length convolutional codes
To overcome the disadvantage of Viterbi decoding algorithm, in which its complexity exponentially increases with the increasing constraint length of convolutional codes, and the decoding delay was too large to fit the decoding of longer constraint length
HUANG Xiao-ling, YANG Hua-long
doaj +2 more sources
SYNCHRONIZATION RECOVERY WHEN DECODING MESSAGES USING A MODIFIED VITERBI DECODING ALGORITHM
Background. Modern data transmission systems using cryptographic methods of information protection require high reliability and quality of information transmission. The object of research is protected data transmission systems. The subject of research
Yu. Yu. Sinitsyn, A. B. Sizonenko
doaj +1 more source
High performance ACS for Viterbi decoder using pipeline T-Algorithm
Viterbi algorithm is the most popular algorithm used to decode the convolution code, but its computational complexity increases exponentially with the increasing constraint length due to the large number of Trellis transitions.
D. Vaithiyanathan +2 more
doaj +1 more source

