Results 91 to 100 of about 22,856,606 (379)
Time Complexity of Training DNNs With Parallel Computing for Wireless Communications
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
"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
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
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
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
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
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
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
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
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

