[PDF][PDF] Forecasting the spread of COVID-19 using time series in Mehriz city, Iran

MH Karimizarchi, D Shishebori - Iran J Health Insur, 2023 - journal.ihio.gov.ir
Introduction: Coronavirus disease 2019 or COVID-19, which is also called acute respiratory
disease NCAV-2019 or commonly called corona, is a respiratory disease caused by acute …

APPLICATION OF ARIMA METHOD FOR RAINFALL FORECASTING IN ASAHAN REGION

IW Misshuari, E Kurniyaningrum… - INDONESIAN …, 2023 - e-journal.trisakti.ac.id
Rainfall forecasting plays a crucial role in disaster risk management and water resources
management in urban areas such as Asahan, North Sumatera. This research explores the …

Prediction of COVID-19 Cases Using the ARIMA Model and Machine Learning

A Pal, G Jain, I Roy, S Sharma - … of ICT in Healthcare: Proceedings of EAIT …, 2023 - Springer
In both the first and second waves of COVID-19, India suffered many casualties at the hands
of the infectious virus in the ongoing pandemic. As the days passed, the number of daily …

Implementasi Machine Learning dalam memprediksi Jumlah Pendonor Darah dengan menggunakan Model Autoregressive Integrated Moving Average (ARIMA) dan …

MT Rahffi - 2024 - dspace.uii.ac.id
Darah merupakan komponen penting di dalam tubuh manusia yang berperan dalam
memberikan supply oksigen, makanan, dan zat lain yang dibutuhkan oleh tubuh. Palang …

Exploring how NPO leaders maintained effective organisational performance amid the Covid-19 pandemic

T Mncube - 2023 - open.uct.ac.za
For an organisation to function effectively and accomplish its goals, it must have effective
leaders, who can lead the organisation towards the fulfilment of its objectives. The onset of …

Data-driven spatio-temporal modeling with cellular automata and fuzzy time series methods

LM Astore - 2022 - repositorio.ufmg.br
Há atualmente diversas aplicações de simulações computacionais em estudos de sistemas
dinâmicos espaço-temporais, incluindo, por exemplo, em modelos epidemiológicos. Dentre …

Forecasting of Covid-19 Using Roll Prediction Based on Deep Learning

Z Wang, J Fan - 2023 2nd International Conference on Data …, 2023 - ieeexplore.ieee.org
Corona Virus Disease 2019 (COVID-19), short for “new coronavirus pneumonia” and named
“2019 coronavirus disease” by the World Health organization, refers to pneumonia caused …

[PDF][PDF] Archive of SID. ir

H Khaksar, SA Almasi, MM Khabiri, A Golro… - Journal Ferdowsi Civil …, 2023 - sid.ir
Transportation, as one of the most important parts of the infrastructure of any country, is of
great importance in mobility and dynamism of any society in order to achieve the goals of …

[PDF][PDF] Investigating Topic Modeling Techniques to Extract Meaningful Insights in Italian Long COVID Narration. BioTech 2022, 11, 41

I Scarpino, C Zucco, R Vallelunga, F Luzza… - 2022 - academia.edu
Through an adequate survey of the history of the disease, Narrative Medicine (NM) aims to
allow the definition and implementation of an effective, appropriate, and shared treatment …

[PDF][PDF] Statistical Modeling of COVID-19 Mortality Trends in Iran

E Ghasemi, A Khorshidi, M Omidi… - Journal of Basic …, 2024 - jbrms.medilam.ac.ir
Results: Throughout the study period, the ARIMA (4, 1, 4) model and the cubic regression
model were the time series models that best fit the mortality data. The cubic model provided …