National vaccination and local intervention impacts on covid-19 cases

T Toharudin, RS Pontoh, RE Caraka, S Zahroh… - Sustainability, 2021 - mdpi.com
COVID-19, as a global pandemic, has spread across Indonesia. Jakarta, as the capital of
Indonesia, is the province with the most positive cases. The government has issued various …

Prediction of status particulate matter 2.5 using state Markov chain stochastic process and HYBRID VAR-NN-PSO

RE Caraka, RC Chen, T Toharudin… - IEEE …, 2019 - ieeexplore.ieee.org
Air pollution is the entry or inclusion of living things, energy substances, and other
components into the air. Moreover, Air pollution is the presence of one or several …

Multiscaled neural autoregressive distributed lag: A new empirical mode decomposition model for nonlinear time series forecasting

F Saâdaoui, OB Messaoud - International Journal of Neural Systems, 2020 - World Scientific
Forecasting has always been the cornerstone of machine learning and statistics. Despite the
great evolution of the time series theory, forecasters are still in the hunt for better models to …

[PDF][PDF] Impacts of the Transformation to Industry 4.0 in the Manufacturing Sector: The Case of the US

K Rojko, N Erman, D Jelovac - Organizacija, 2020 - sciendo.com
Background and purpose: The transformation to Industry 4.0 increases the number of robots
installed within industries, which brings great shifts in industrial ecosystems. For this reason …

Negative binomial mixed model neural network for modeling of pulmonary tuberculosis risk factors in West Java provinces.

R Arisanti, RS Pontoh, S Winarni… - … Journal of Data & …, 2023 - search.ebscohost.com
Tuberculosis (TB) is still a major public health concern in many regions of the world,
including Indonesia's West Java Provinces. Accurate TB risk factor prediction can enhance …

Prophet Algorithm Optimization with Particle Swarm Optimization for Adjusted Closing Price Forecasting in Xiaomi Corporation

AC Wijaya, R Kusumaningrum… - … on Informatics and …, 2024 - ieeexplore.ieee.org
Stock trading is a crucial global investment activity, relying heavily on accurate price
forecasting to enhance profits and mitigate risks. However, forecasting stock prices is …

Economic forecasting with autoregressive methods and neural networks

JM Chen - Available at SSRN 3521532, 2020 - papers.ssrn.com
Neural networks can forecast economic data with accuracy matching that of conventional
autoregressive methods such as SARIMA and VAR. This study uses dense, recurrent …

PERBANDINGAN METODE VECTOR AUTOREGRESSIVE NEURAL NETWORK (VAR-NN) DAN ELMAN RECURRENT NEURAL NETWORK (ERNN) UNTUK …

E Ellyana - MATHunesa: Jurnal Ilmiah Matematika, 2025 - ejournal.unesa.ac.id
Abstrak Vector Autoregressive Neural Network (VAR-NN) merupakan kombinasi VAR dan
Jaringan Syaraf yang memiliki potensi untuk meningkatkan akurasi peramalan terutama …

Forecasting mortgage demand: An application of traditional methods, machine learning, and neural networks

JM Chen, A Baker - Machine Learning, and Neural Networks (July …, 2020 - papers.ssrn.com
Demand forecasting relies heavily on traditional methods with well known limitations.
Improved accuracy in predicting demand for mortgages, whether for purposes of purchase …

[PDF][PDF] National Vaccination and Local Intervention Impacts on COVID-19 Cases. Sustainability 2021 13 8282

T Toharudin, RS Pontoh, RE Caraka… - s Note: MDPI stays …, 2021 - researchgate.net
COVID-19, as a global pandemic, has spread across Indonesia. Jakarta, as the capital of
Indonesia, is the province with the most positive cases. The government has issued various …