Results 31 to 40 of about 112,253 (268)

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

Short-Term Highway Traffic Flow Prediction via Wavelet–Liquid Neural Network Model

open access: yesModelling
Accurate, efficient, and reliable traffic flow prediction is pivotal for highway operation and management. However, traffic flow series present nonlinear, heterogeneous, and stochastic characteristics, posing significant challenges to precise prediction.
Yongjun Wu   +5 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   +2 more sources

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

Septin 9 PB domains coordinate centrosome positioning and microtubule acetylation to control epithelial polarity

open access: yesFEBS Letters, EarlyView.
Septin 9 polybasic domains couple phosphoinositide‐rich membrane binding to centrosome positioning, Golgi organization, and microtubule acetylation to control epithelial polarity. Their loss disrupts this axis, causing centrosome mispositioning, Golgi fragmentation, reduced microtubule acetylation, and polarity inversion via upregulation of the ...
Ting ting Cai   +4 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

Rab14 regulates the transport of human papillomavirus to the trans‐Golgi network for infectious cell entry

open access: yesFEBS Letters, EarlyView.
This study reveals that the small GTPase Rab14 is necessary for human papillomavirus (HPV) infection and plays an essential role in the transport of virions to the trans‐Golgi network (TGN). HPV in the early endosome (EE), which harbors GTP‐bound Rab14, is transported to the TGN through the switch of Rab14 from its GTP‐bound to GDP‐bound form.
Yoshiyuki Ishii, Iwao Kukimoto
wiley   +1 more source

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

Malicious Network Traffic Detection Based on Deep Neural Networks and Association Analysis

open access: yesSensors, 2020
Anomaly detection systems can accurately identify malicious network traffic, providing network security. With the development of internet technology, network attacks are becoming more and more sourced and complicated, making it difficult for traditional ...
Minghui Gao   +5 more
doaj   +1 more source

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