Results 41 to 50 of about 73,625 (339)

ANALISIS PREDIKSI JUMLAH PENDUDUK DI KOTA PASURUAN MENGGUNAKAN METODE ARIMA

Barekeng, 2021
Laju pertumbuhan penduduk di Kota Pasuruan pada tahun 2019 sebesar 0.68% dengan jumlah penduduk 200.422 jiwa. Tingginya pertumbuhan penduduk dapat mempengaruhi kepadatan penduduk.
Ilmiatul Mardiyah, Wika Dianita Utami, Dian Candra Rini Novitasari, Moh. Hafiyusholeh, Dewi Sulistiyawati   +4 more
doaj   +1 more source

A comparative analysis of classical machine learning models with quantum-inspired models for predicting world surface temperature

Scientific Reports
This research paper delves into the realm of quantum machine learning (QML) by conducting a comprehensive study on time-series data. The primary objective is to compare the results and time complexity of classical machine learning algorithms on ...
Trilok Nath Pandey, Vishvajeet Ravalekar, Sidharth D. Nair, Sunil Kumar Pradhan   +3 more
doaj   +1 more source

A Weighted Moving Average Process for Forcasting [PDF]

, 2007
A forecasting model for a nonstationary stochastic realization is proposed based on modifying a given time series into a new k-time moving average time series.
Shih, Shou Hsing, Tsokos, Chris P.
core   +3 more sources

​Did a Non‐Medical Biosimilar Switching Policy Cause an Increase in Non‐Biologic/Biosimilar Health Care Resource Utilization or Cost in Patients With Inflammatory Arthritis?

Arthritis Care &Research, EarlyView.
Objective This study aimed to evaluate the impact of a series of policies that mandated switching patients with inflammatory arthritis (IA) from an originator biologic to a biosimilar in British Columbia, Canada, on health care resource use and cost.
HaoHung Dang, Sandra Blitz, Nick Bansback, Michael Law, Mark Harrison   +4 more
wiley   +1 more source

Annual forecasting of inflation rate in Iran: Autoregressive integrated moving average modeling approach

Engineering Reports, 2021
Box‐Jenkins methodology is one of the most famous modeling approaches to describe the underlying stochastic structure and forecasting future values of various phenomena.
Samrad Jafarian‐Namin, Seyyed Mohammad Taghi Fatemi Ghomi, Mohsen Shojaie, Saeed Shavvalpour   +3 more
doaj   +1 more source

On time series modeling of Nigeria's external reserves [PDF]

, 2015
This paper proposes three short-term forecasting models for the adjusted external reserves using the seasonal autoregressive integrated moving average (SARIMA), seasonal autoregressive integrated moving average with an exogenous input (SARIMA-X) and an ...
Alade, Sarah O., Doguwa, Sani I.
core  

Identification of Optimal Autoregressive Integrated Moving Average Model on Temperature Data [PDF]

, 2011
Autoregressive Integrated Moving Average (ARIMA) processes of various orders are presented to identify an optimal model from a class of models. Parameters of the models are estimated using an Ordinary Least Square (OLS) approach.
Fasoranbaku, Olusoga Akin, Makinde, Olusola Samuel   +1 more
core   +2 more sources

Hopfield Neural Networks for Online Constrained Parameter Estimation With Time‐Varying Dynamics and Disturbances

International Journal of Adaptive Control and Signal Processing, EarlyView.
This paper proposes two projector‐based Hopfield neural network (HNN) estimators for online, constrained parameter estimation under time‐varying data, additive disturbances, and slowly drifting physical parameters. The first is a constraint‐aware HNN that enforces linear equalities and inequalities (via slack neurons) and continuously tracks the ...
Miguel Pedro Silva
wiley   +1 more source

From the Discovery of the Giant Magnetocaloric Effect to the Development of High‐Power‐Density Systems

Advanced Materials Technologies, EarlyView.
The article overviews past and current efforts on caloric materials and systems, highlighting the contributions of Ames National Laboratory to the field. Solid‐state caloric heat pumping is an innovative method that can be implemented in a wide range of cooling and heating applications.
Agata Czernuszewicz, Yaroslav Mudryk, Jun Cui, Lucas Griffith, Duane D. Johnson, Julie Slaughter   +5 more
wiley   +1 more source

Improving Short-Term Electricity Price Forecasting Using Day-Ahead LMP with ARIMA Models

, 2018
Short-term electricity price forecasting has become important for demand side management and power generation scheduling. Especially as the electricity market becomes more competitive, a more accurate price prediction than the day-ahead locational ...
Miller, Carol, Nokleby, Matthew, Wang, Caisheng, Zhao, Zhongyang   +3 more
core   +1 more source