Results 91 to 100 of about 22,856,606 (379)

Time Complexity of Training DNNs With Parallel Computing for Wireless Communications

open access: yesIEEE Open Journal of Vehicular Technology
Deep neural networks (DNNs) have been widely used for learning various wireless communication policies. While DNNs have demonstrated the ability to reduce the time complexity of inference, their training often incurs a high computational cost.
Pengyu Cong   +4 more
doaj   +1 more source

Algebraic Distributed Space-Time Codes with Low ML Decoding Complexity

open access: yes, 2007
"Extended Clifford algebras" are introduced as a means to obtain low ML decoding complexity space-time block codes. Using left regular matrix representations of two specific classes of extended Clifford algebras, two systematic algebraic constructions of
Rajan, B. Sundar, Rajan, G. Susinder
core   +1 more source

Circulating histones as clinical biomarkers in critically ill conditions

open access: yesFEBS Letters, EarlyView.
Circulating histones are emerging as promising biomarkers in critical illness due to their diagnostic, prognostic, and therapeutic potential. Detection methods such as ELISA and mass spectrometry provide reliable approaches for quantifying histone levels in plasma samples.
José Luis García‐Gimenez   +17 more
wiley   +1 more source

A Mixed-Critical Consistent Update Algorithm in Software Defined Time-Triggered Ethernet Using Time Window

open access: yesIEEE Access, 2020
Software Defined Networking (SDN) presents a tremendous opportunity for developing abstract management of network updates. However, network updates introduce challenges in terms of consistency. Many consistent update algorithms are proposed for Ethernet,
Jun Lu   +4 more
doaj   +1 more source

Network Identification for Diffusively-Coupled Systems with Minimal Time Complexity

open access: yes, 2021
The theory of network identification, namely identifying the (weighted) interaction topology among a known number of agents, has been widely developed for linear agents.
Sharf, Miel, Zelazo, Daniel
core  

Mechanisms and kinetic assays of aminoacyl‐tRNA synthetases

open access: yesFEBS Letters, EarlyView.
Accurate protein synthesis is crucial for life. The key players are aminoacyl‐tRNA synthetases (AARSs), which read the genetic code by pairing cognate amino acids and tRNAs. AARSs establish high amino acid selectivity by employing physicochemical limits in molecular recognition.
Igor Zivkovic   +2 more
wiley   +1 more source

Scheduling unit processing time arc shutdown jobs to maximize network flow over time: complexity results

open access: yes, 2013
We study the problem of scheduling maintenance on arcs of a capacitated network so as to maximize the total flow from a source node to a sink node over a set of time periods.
Boland, Natashia   +3 more
core   +1 more source

Single‐cell insights into the role of T cells in B‐cell malignancies

open access: yesFEBS Letters, EarlyView.
Single‐cell technologies have transformed our understanding of T cell–tumor cell interactions in B‐cell malignancies, revealing new T‐cell subsets, functional states, and immune evasion mechanisms. This Review synthesizes these findings, highlighting the roles of T cells in pathogenesis, progression, and therapy response, and underscoring their ...
Laura Llaó‐Cid
wiley   +1 more source

On the measurements of algorithms in big data era

open access: yes大数据, 2016
The ability to store and analyze big data is a crucial capability of a powerful country in the new century.The current research of big data contains weakness on common scientific questions,general methodology,and theoretical analysis of real-time ...
Jialin ZHANG, Xiaoming SUN
doaj  

Biological and technical complexities in analyzing extracellular vesicle immune interactions in B‐cell malignancies

open access: yesFEBS Letters, EarlyView.
Extracellular vesicles (EVs) mediate intercellular communication in tumor immune microenvironments. However, their role in B‐cell malignancies remains poorly defined, owing to biological complexity and technical challenges in EV isolation and analysis.
Daniel Bachurski, Michael Hallek
wiley   +1 more source

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