Results 101 to 110 of about 1,369 (238)
Irregular Convolution and Unity-Rate Coded Network-Coding for Cooperative Multi-User Communications
Near-Capacity Multi-user Network-coding (NCMN) based systems operating in multiple modes and relying on an amalgamated Irregular Convolutional Code, a Unity-Rate Code and M-ary Phase-Shift Keying are proposed. We consider a multiuser network in which the
Ng, S.X., Nguyen, Hung, Hanzo, Lajos
core
Rapprochement between instantly decodable and random linear network coding
In this paper, a new network coding model is proposed to unify instantly decodable network coding (IDNC) and random linear network coding (RLNC), which have been considered to be incompatible in the literature.
Sadeghi, Parastoo +2 more
core +1 more source
ALDOA Promotes Glycolysis and NLRP3/GSDMD Pyroptosis to Accelerate ALS Progression
ABSTRACT Objective Amyotrophic lateral sclerosis (ALS) is characterized by progressive motor neuron degeneration. Glycolytic dysregulation is implicated in disease progression, yet the underlying mechanisms remain unclear. This study investigates how Aldolase A (ALDOA) drives ALS progression through glycolysis‐mediated motor neuron pyroptosis.
Kaixin Yan +9 more
wiley +1 more source
Network flow task management involves the efficient allocation and scheduling of data flow tasks within dynamic satellite networks, aiming to effectively address frequent changes in network topology and dynamic traffic fluctuations.
Shangpeng Wang +4 more
doaj +1 more source
Systematic-RLNC Based Secure and QoS Centric Routing Scheme for WSNs
In this paper a highly robust and efficient systematic-random linear network coding (S-RLNC) routing scheme is proposed. Unlike classic security systems, the proposed S-RLNC transmission model incorporates an advanced pre-coding and interleaving concept ...
Ajaykumar Notom +2 more
doaj +1 more source
Singularity Probability Analysis for Sparse Random Linear Network Coding
Motivated by the noncoherent subspace coding approach and the low-complexity sparse coding approach to realize random linear network coding, we consider the problem of characterizing the probability of having a full rank (or nonsingular) square transfer ...
Xiaolin Li +6 more
core +1 more source
ABSTRACT Objective High‐resolution MRI enables detailed assessment of intracranial vessel wall pathology in moyamoya vasculopathy. We aimed to classify adult moyamoya vasculopathy etiologies using high‐resolution MRI and to examine subtype‐specific associations between high‐resolution MRI features and ischemic infarction.
Guangsong Han +8 more
wiley +1 more source
The performance of a novel fountain coding scheme based on maximum distance separable (MDS) codes constructed over Galois fields of order q is investigated. Upper and lower bounds on the decoding failure probability under maximum likelihood decoding are
Lázaro Blasco, Francisco +3 more
core +1 more source
ABSTRACT Background and Purpose White matter hyperintensities (WMH) are a core neuroimaging marker of cerebral small vessel disease (CSVD). Sleep apnoea (SA) is a recognized vascular risk factor, but its associations with regional WMH burden, short‐interval WMH change and cognitive performance in population‐based cohorts remain incompletely defined. We
Peng Cheng +4 more
wiley +1 more source
Caterpillar RLNC (CRLNC): A Practical Finite Sliding Window RLNC Approach
Random linear network coding (RLNC) is a popular coding scheme for improving communication and content distribution over lossy channels. For packet streaming applications, such as video streaming and general IP packet streams, recent research has shown ...
Simon Wunderlich +4 more
doaj +1 more source

