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 …
Shm deformation monitoring for high-speed rail track slabs and bayesian change point detection for the measurements
Fiber Bragg grating (FBG) technology has significant advantages in anti-electromagnetic
interference and is suitable for structural health monitoring (SHM) in high-speed rail (HSR) …
interference and is suitable for structural health monitoring (SHM) in high-speed rail (HSR) …
A systematic review of packages for time series analysis
J Siebert, J Groß, C Schroth - Engineering Proceedings, 2021 - mdpi.com
This paper presents a systematic review of Python packages with a focus on time series
analysis. The objective is to provide (1) an overview of the different time series analysis …
analysis. The objective is to provide (1) an overview of the different time series analysis …
An interpretable multi-scaled agent hierarchy for time series prediction
H Rafiei, MR Akbarzadeh-T - Expert Systems with Applications, 2024 - Elsevier
The traditional time series analysis treats the time series as a dynamic system of sequential
entries, leading to complex models and a lack of interpretability. Time series, however, can …
entries, leading to complex models and a lack of interpretability. Time series, however, can …
Modeling and forecasting atmospheric Carbon Dioxide concentrations at Bengaluru city in India
I Gogeri, KC Gouda, T Sumathy - Stochastic Environmental Research and …, 2024 - Springer
Atmospheric carbon dioxide (CO2) is considered as most significant greenhouse gas (GHG)
in terms of its global warming potential and human-caused emissions. In Indian context …
in terms of its global warming potential and human-caused emissions. In Indian context …
A systematic review of python packages for time series analysis
J Siebert, J Groß, C Schroth - arXiv preprint arXiv:2104.07406, 2021 - arxiv.org
This paper presents a systematic review of Python packages with a focus on time series
analysis. The objective is to provide (1) an overview of the different time series analysis …
analysis. The objective is to provide (1) an overview of the different time series analysis …
Forecasting Implementation of Hybrid Time Series and Artificial Neural Network Models
DL Polestico, AL Bangcale, LC Velasco - Procedia Computer Science, 2024 - Elsevier
This study implemented AR, SARIMA, and SETAR models and their hybrid with ANN using
the Canadian lynx data. Implementing a SETAR-ANN has been shown to be successful in …
the Canadian lynx data. Implementing a SETAR-ANN has been shown to be successful in …
[PDF][PDF] Forecasting foreign reserves in the Central Bank of Iraq until 2025
AJ Askar, AH Battal, AA Hamad - Tikrit Journal of Administration and …, 2023 - iasj.net
The foreign reserve base is considered the basis for achieving the desired economic
stability and growth, so the foreign reserve forecast receives the attention of the monetary …
stability and growth, so the foreign reserve forecast receives the attention of the monetary …
Short-term forecasting of confirmed daily COVID-19 cases in the Southern African Development Community region
Background: The coronavirus pandemic has resulted in complex challenges worldwide, and
the Southern African Development Community (SADC) region has not been spared. The …
the Southern African Development Community (SADC) region has not been spared. The …
Solving Agricultural Price Recommendation Problem Using Smart Reading Algorithms
An optimization problem with time series forecasting constraints (OPTSFC) is defined as one
with constraints given as prediction results from time series. OPTSFC can be solved in …
with constraints given as prediction results from time series. OPTSFC can be solved in …