Results 41 to 50 of about 222 (103)

Statistical, machine learning, and deep learning models for COVID-19 forecasting in Kenya

Computational and Mathematical Biophysics
This study aims to enhance coronavirus disease 2019 forecasting in Kenya by comparing the predictive performance of statistical, machine learning, and deep learning (DL) models for total cases, critical cases, severe cases, and total deaths, using data ...
Kiarie Joyce, Mwalili Samuel Musili, Mbogo Rachel, Mutinda John Kamwele, Langat Amos Kipkorir   +4 more
doaj   +1 more source

Madiun City Labor Force Participation Rate (LFPR) forecast model with double exponential smoothing holt

Majalah Ilmiah Matematika dan Statistika
The Labour Force Participation Rate (LFPR) is a percentage of the number of workers in the population of working age (+15 years). Madiun City which is one of the largest cities in East Java Province.
Muhammad Qobi Shobri, Lenny Puspita Dewi, Muthiah As Saidah   +2 more
doaj   +1 more source

Social Media Impact on the ‘Cosmos’ Blockchain Ecosystem: State and Prospect

Data Science Journal
The proliferation of blockchain technology heralds transformative impacts across various sectors, offering decentralization, transparency, and enhanced security.
Ivan Pavlyshyn, Anna Petrenko, Bohdan Opryshko, Bohdan Oliinyk, Sergii Kavun   +4 more
doaj   +1 more source

Peramalan dan dekomposisi untuk mata uang kripto dengan model facebook prophet

Majalah Ilmiah Matematika dan Statistika
Cryptocurrencies are becoming one of the hottest topics in Indonesia's society. One of those issues concerns investors who incur financial losses as a result of investing in crypto.
Dany Rahman, Dewi Rachmatin, Rini Marwati   +2 more
doaj   +1 more source

Forecasting electronic money trends in Indonesia using neural network models: A comparative analysis

Majalah Ilmiah Matematika dan Statistika
Forecasting electronic money transaction values is essential for effective financial planning and decision-making in various industries. This study evaluates the performance of three neural network models, which are Extreme Learning Machines (ELM ...
Umi Mahmudah, Selvalentina Rista Anggita, Nirma Ayu Suryaningtyas   +2 more
doaj   +1 more source

MULTI-TARGET DETECTION WITH ROTATIONS. [PDF]

Inverse Probl Imaging (Springfield), 2023
Bendory T, Lan TY, Marshall NF, Rukshin I, Singer A.   +4 more
europepmc   +1 more source

Mildly Explosive Autoregression with Strong Mixing Errors. [PDF]

Entropy (Basel), 2022
Liu X, Li X, Gao M, Yang W.
europepmc   +1 more source

A Matrix-Variate t Model for Networks. [PDF]

Front Artif Intell, 2021
Billio M, Casarin R, Costola M, Iacopini M.   +3 more
europepmc   +1 more source

Under-reported time-varying MINAR(1) process for modeling multivariate count series. [PDF]

Comput Stat Data Anal, 2023
Aghabazaz Z, Kazemi I.
europepmc   +1 more source

A statistical framework for measuring the temporal stability of human mobility patterns. [PDF]

J Appl Stat, 2021
Dong Z, Chen YC, Dobra A.
europepmc   +1 more source