Results 41 to 50 of about 91,573 (248)

Mathematical model for forwarding packets in communication network

open access: yesIET Networks, 2022
The software‐defined networking (SDN) represents the future backbone of the Internet. In general, to understand the performance and the limitation of SDN is a prerequisite for deploying these networks and making the most of their resources. For achieving
Samaa A. I. Hussein   +2 more
doaj   +1 more source

The development of audio data compression methods and facilities with the use of fractal approach [PDF]

open access: yes, 2018
The development of modern telecommunication networks is characterized by an increase in the share of multimedia traffic. An important component of multimedia traffic is audio information, especially voice information.
Martynuk, O.   +4 more
core  

Interference Calculation in Asynchronous Random Access Protocols using Diversity

open access: yes, 2015
The use of Aloha-based Random Access protocols is interesting when channel sensing is either not possible or not convenient and the traffic from terminals is unpredictable and sporadic.
Meloni, Alessio, Murroni, Maurizio
core   +1 more source

Conformal Reconfigurable Intelligent Surfaces: A Cylindrical Geometry Perspective

open access: yesAdvanced Electronic Materials, EarlyView.
Cylindrical reconfigurable intelligent surfaces are explored for low‐complexity beam steering using one‐bit meta‐atoms. A multi‐level modeling approach, including optimization‐based synthesis, demonstrates that even minimal hardware can support directive scattering.
Filippo Pepe   +4 more
wiley   +1 more source

A mobile traffic load prediction based on recurrent neural network: A case of telecommunication in Afghanistan

open access: yesElectronics Letters, 2022
This paper investigates the prediction of mobile traffic load based on four variants of recurrent neural networks, which are the simple long short‐term memory (LSTM), stacked LSTM, gated recurrent unit (GRU) and bidirectional LSTM.
Fazel Haq Ahmadzai, Woongsup Lee
doaj   +1 more source

Deep Learning with Long Short-Term Memory for Time Series Prediction

open access: yes, 2018
Time series prediction can be generalized as a process that extracts useful information from historical records and then determines future values. Learning long-range dependencies that are embedded in time series is often an obstacle for most algorithms,
Chen, Xianfu   +5 more
core   +1 more source

Opposing consensus science through scholarly practices: The role of claims maintenance

open access: yesJournal of the Association for Information Science and Technology, EarlyView.
Abstract This study examines how three US‐based communities who oppose consensus science produce and disseminate scholarly‐like artifacts: pro‐life activists, Young Earth Creationists, and Anthropogenic Climate Crisis skeptics. Prior research shows that industry‐ or church‐backed advocacy campaigns often generate claims supported by these communities ...
Irene V. Pasquetto   +3 more
wiley   +1 more source

Pulsed Electromagnetic Fields: A Novel Attractive Therapeutic Opportunity for Neuroprotection After Acute Cerebral Ischemia

open access: yesNeuromodulation: Technology at the Neural Interface, EarlyView., 2021
Abstract Objectives Acute cerebral ischemia is characterized by several pathological processes evolving during time, which contribute to the final tissue damage. Secondary processes, such as prolonged inflammatory response, impaired mitochondrial function and oxidative stress, are responsible for the progression of brain injury to the peri‐infarct area,
Fioravante Capone   +8 more
wiley   +1 more source

DETECTION OF ANOMALIES IN THE TELECOMMUNICATIONS TRAFFIC BY STATISTICAL METHODS

open access: yesCybersecurity: Education, Science, Technique, 2021
Anomaly detection is an important task in many areas of human life. Many statistical methods are used to detect anomalies. In this paper, statistical methods of data analysis, such as survival analysis, time series analysis (fractal), classification method (decision trees), cluster analysis, entropy method were chosen to detect anomalies. A description
Tamara Radivilova   +3 more
openaire   +2 more sources

Forecasting Airport Passenger Flows Using Mobile Network Data: Insights for Sustainable Mobility and Strategic Infrastructure Planning

open access: yesBusiness Strategy and the Environment, EarlyView.
ABSTRACT Airports are strategic and environmental nodes in global transport systems where rapid passenger growth challenges capacity, sustainability, and resilience. This study uses anonymized mobile network data to analyze and forecast passenger dynamics at Lisbon Airport, Portugal, linking data‐driven insights to sustainable mobility and ...
João Carlos Ferreira   +3 more
wiley   +1 more source

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