ARTICLES

Filter  
Active filters 0
Remove
  

Refine your searches by:

Collections
Economy
Research
Technology
Education
Pure sciences
Social Sciences
Architecture and Urbanism
Computing
Public health
Environment
all records (74)

Languages
English
Spanish
Portuguese
German
French

Countries
Indonesia
USA
Brazil
Switzerland
Italy
Ukraine
Spain
South Africa
Romania
Denmark
all records (78)

Years
2023
2022
2021
2020
2019
2018
2017
2016
2015
2014
all records (24)

Filter  
 
142.552  Articles
1 of 14.256 pages  |  10  records  |  more records»
The number of users and their network utilization will enumerate the traffic of the network. The accurate and timely estimation of network traffic is increasingly becoming important in achieving guaranteed Quality of Service (QoS) in a wireless network. T... see more

It is important to predict a time series because many problems that are related to prediction such as health prediction problem, climate change prediction problem and weather prediction problem include a time component. To solve the time series prediction... see more

Time series data available in huge amounts can be used in decision-making. Such time series data can be converted into information to be used for forecasting. Various techniques are available for prediction and forecasting on the basis of time series data... see more

The prediction of time series has been widely applied to many fields suchas enrollments, stocks, weather and so on. In this paper, a new prediction methodbased on fuzzy cognitive map with information granules is proposed, in which fuzzy cmeansclustering a... see more

ANFIS is a combination of 2 methods, namely fuzzy and artificial neural networks. From the combination of these 2 methods, ANFIS has the advantage of predicting time series data. However, the use of the ANFIS method also has its drawbacks. The drawback is... see more

The Covid-19 pandemic in Indonesia has emerged starting in 2020. To know the development of cases, a good calculation is needed. A prediction system can help in analyzing accurate data on positive causes, cures, and deaths. The right prediction or forecas... see more

             Forecasting, in time series is an important in planning and making assumptions about future events using different statistical methods, and depends on estimating the value of a varia... see more

Demand for forecasting has increased significantly due to the rapid changes in technology, social changes, and globalization. The main objective of the paper is to apply clustering algorithms for forecasting the time series data. To perform the prediction... see more

This paper investigates the ability of Discrete Wavelet Transform and Adaptive Network-Based Fuzzy Inference System in time-series data modeling of weather parameters. Plotting predicted data results on Linear Regression is used as the baseline of the sta... see more

1 of 14.256 pages  |  10  records  |  more records»