Results 41 to 50 of about 235,780 (318)

A Novel Method for Improved Network Traffic Prediction Using Enhanced Deep Reinforcement Learning Algorithm

open access: yesSensors, 2022
Network data traffic is increasing with expanded networks for various applications, with text, image, audio, and video for inevitable needs. Network traffic pattern identification and analysis of traffic of data content are essential for different needs ...
Nagaiah Mohanan Balamurugan   +3 more
doaj   +1 more source

Network Traffic Prediction Method Based on Improved Echo State Network

open access: yesIEEE Access, 2018
The network traffic sequence has the complex characters, such as mutability, chaos, timeliness, and nonlinearity, which bring many difficulties to network traffic prediction.
Jian Zhou   +4 more
doaj   +1 more source

Encrypting network traffic [PDF]

open access: yes, 1994
There are several possible explanations. Many people are unaware of the potential benefits of encrypting messages before transmission. Alternatively they may not be aware how insecure their computers are; for example most of the computers in use within the Computer Laboratory here in Cambridge transmit user's passwords unen.crypted so that they may be ...
openaire   +1 more source

Prediction of Network Traffic of Smart Cities Based on DE-BP Neural Network

open access: yesIEEE Access, 2019
Smart cities make full use of information technology so as to make intelligence responses to all requirements, including network and city services. This paper proposes a differential evolution back propagation (DE-BP) neural network traffic prediction ...
Xiuqin Pan   +3 more
doaj   +1 more source

Phosphatidylinositol 4‐kinase as a target of pathogens—friend or foe?

open access: yesFEBS Letters, EarlyView.
This graphical summary illustrates the roles of phosphatidylinositol 4‐kinases (PI4Ks). PI4Ks regulate key cellular processes and can be hijacked by pathogens, such as viruses, bacteria and parasites, to support their intracellular replication. Their dual role as essential host enzymes and pathogen cofactors makes them promising drug targets.
Ana C. Mendes   +3 more
wiley   +1 more source

Real-time bus travel speed estimation model based on bus GPS data

open access: yesAdvances in Mechanical Engineering, 2016
Bus travel speed is the fundamental indicator for the bus operation dynamic monitoring, traveler’s information service, as well as the bus service evaluation.
Jiancheng Weng   +4 more
doaj   +1 more source

DYNAMIC METHOD OF LOAD BALANCING OF DATA CENTERS TAKING INTO ACCOUNT THE FRACTAL PROPERTIES OF NETWORK TRAFFIC

open access: yesСовременная наука и инновации, 2022
An approach to the development and study of a load balancing system for data centers (DC) taking into account the fractal properties of network traffic is proposed. The fractal properties of network traffic make it possible to predict, with a fairly high
G. I. Linets   +3 more
doaj   +1 more source

Organ‐specific redox imbalances in spinal muscular atrophy mice are partially rescued by SMN antisense oligonucleotides

open access: yesFEBS Letters, EarlyView.
We identified a systemic, progressive loss of protein S‐glutathionylation—detected by nonreducing western blotting—alongside dysregulation of glutathione‐cycle enzymes in both neuronal and peripheral tissues of Taiwanese SMA mice. These alterations were partially rescued by SMN antisense oligonucleotide therapy, revealing persistent redox imbalance as ...
Sofia Vrettou, Brunhilde Wirth
wiley   +1 more source

Network Performance Implications of Variability in Data Traffic. [PDF]

open access: yes, 2000
World Wide Web (WWW) traffic will dominate network traffic for the foreseeable future. Accurate predictions of network performance can only be achieved if network models reflect WWW traffic statistics.
Roadknight, Chris   +2 more
core  

A Wavelet Analysis-Based Dynamic Prediction Algorithm to Network Traffic

open access: yesITM Web of Conferences, 2016
Network traffic is a significantly important parameter for network traffic engineering, while it holds highly dynamic nature in the network. Accordingly, it is difficult and impossible to directly predict traffic amount of end-to-end flows.
Meng Fan-Bo   +4 more
doaj   +1 more source

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