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Forecasting network traffic: A survey and tutorial with open-source comparative evaluation
This paper presents a review of the literature on network traffic prediction, while also serving
as a tutorial to the topic. We examine works based on autoregressive moving average …
as a tutorial to the topic. We examine works based on autoregressive moving average …
[HTML][HTML] Individualized short-term electric load forecasting using data-driven meta-heuristic method based on LSTM network
Short-term load forecasting is viewed as one promising technology for demand prediction
under the most critical inputs for the promising arrangement of power plant units. Thus, it is …
under the most critical inputs for the promising arrangement of power plant units. Thus, it is …
A Knowledge Graph Embedding Based Service Recommendation Method for Service-Based System Development
Web API is an efficient way for Service-based Software (SBS) development, and mashup is
a key technology which merges several web services to deal with the increasing complexity …
a key technology which merges several web services to deal with the increasing complexity …
An effective model for network selection and resource allocation in 5G heterogeneous network using hybrid heuristic-assisted multi-objective function
Multiple service requirements in various communication environments are fulfilled by the fifth-
generation (5G) mobile communication network. Heterogeneous Networks (HetNet) have …
generation (5G) mobile communication network. Heterogeneous Networks (HetNet) have …
Comparative evaluation of radio network planning for different 5G-NR channel models on urban macro environments in Quito city
The 5th-Generation New Radio (5G-NR) network have been widely deployed around the
world in the frequency range 1/range 2 bands. Once specific frequency bands within these …
world in the frequency range 1/range 2 bands. Once specific frequency bands within these …
Spatiotemporal correlation analysis for predicting current transformer errors in smart grids
Y Zhong, T Li, K Przystupa, C Lin, G Yang, S Yang… - Energies, 2024 - mdpi.com
The online calibration method for current transformers is an important research direction in
the field of smart grids. This article constructs a transformer error prediction model based on …
the field of smart grids. This article constructs a transformer error prediction model based on …
[HTML][HTML] Trust-based beacon node localization algorithm for underwater networks by exploiting nature inspired meta-heuristic strategies
Conventional underwater technologies were not able to provide authentication and proper
visualization of unexplored ocean areas to accommodate a wide range of applications. The …
visualization of unexplored ocean areas to accommodate a wide range of applications. The …