Results 21 to 30 of about 106,055 (260)

An Investigation of Vegetable Production in Iran by Using Time Series Models

Fundamental and Applied Agriculture, 2021
BACKGROUND: Nowadays, agriculture, particularly vegetable production, plays a vital role in the lives of the people of the Islamic Republic of Iran. The proper forecast of harvesting of vegetable production is essential for the agriculture ministry; so ...
Zeynab Latifi, Hossein Shabanali Fami
doaj   +1 more source

Land cover change and multiple remotely sensed datasets consistency in China

Ecosystem Health and Sustainability, 2022
Although numerous land cover datasets can act as references for understanding land cover change in China, the inconsistencies between the datasets can also provide understanding. Previous studies on the consistency between land cover datasets have mostly
Hui Wang, Liping Cai, Xiaojin Wen, Donglin Fan, Yuejun Wang   +4 more
doaj   +1 more source

Investigating the impact of GDP and distance variables in the gravity model using sign and rank tests [PDF]

Eastern Journal of European Studies, 2021
The gravity model of trade has been a workhorse of international economics over the last fifty years. The main variables incorporated in the standard gravity model of trade are gross domestic product of trading countries and distance between them.
Berislav ŽMUK, Hrvoje JOŠIĆ
doaj   +1 more source

Wireless Sensor Networks Optimization with Localization-Based Clustering using Game Theory Algorithm

International Journal of Technology, 2022
Wireless sensor networks, as remote monitoring system support or Internet of Things subsystems, require reliability and stability, which greatly influence sensor life spans. Optimization efforts were a breakthrough to obtain these requirements.
Nina Hendrarini, Muhamad Asvial, Riri Fitri Sari   +2 more
doaj   +1 more source

Time series forecasting of stock market using ARIMA, LSTM and FB prophet [PDF]

MATEC Web of Conferences
Considering turbulent character, predicting the future stocks of a company is a difficult endeavor. The goal of this study is to analyze the performance of three widely used forecasting methods: ARIMA, LSTM, and FBProphet.
Sunki Asha, SatyaKumar C., Surya Narayana G., Koppera Vinith, Hakeem Manish   +4 more
doaj   +1 more source

GSTARI-ARCH MODEL AND APPLICATION ON POSITIVE CONFIRMED DATA FOR COVID-19 IN WEST JAVA

Media Statistika, 2022
Time series model that is commonly used is the Box-Jenkins based time series model. Time series data phenomena based on Box-Jenkins can be combined with spatial data, it is called the space time model One model based on Box-Jenkins model with ...
Mutik Alawiyah, Dianne Amor Kusuma, Budi Nurani Ruchjana   +2 more
doaj   +1 more source

FORECASTING THE CONSUMER PRICE INDEX WITH GENERALIZED SPACE-TIME AUTOREGRESSIVE SEEMINGLY UNRELATED REGRESSION (GSTAR-SUR): COMPROMISE REGION AND TIME

Barekeng, 2023
Economic success will provide benefits for improving people’s welfare. An important indicator to determine economic success can be seen through inflation by calculating the Consumer Price Index (CPI).
Prizka Rismawati Arum, Anita Retno Indriani, M Al Haris   +2 more
doaj   +1 more source

RMSE is not enough: Guidelines to robust data-model comparisons for magnetospheric physics

Journal of Atmospheric and Solar-Terrestrial Physics, 2021
Abstract The magnetospheric physics research community uses a broad array of quantitative data-model comparison methods (metrics) when conducting their research investigations. It is often the case, though, that any particular study will only use one or two metrics, with the two most common being Pearson correlation coefficient and root mean square ...
Liemohn, Michael W., Shane, Alexander D., Azari, Abigail R., Petersen, Alicia K., Swiger, Brian M., Mukhopadhyay, Agnit   +5 more
openaire   +4 more sources

Comparing the neural network with path analysis in fitting regression models [PDF]

Journal of Hyperstructures, 2020
The purpose of this study was to compare a neural network with the path analysis in fitting regression models. Theconceptual model of path analysis according to the studied data includes a dependent variable, two independent variables and one mediating ...
Fereshteh Aard, Ayyub Sheikhi
doaj   +1 more source

Forecasting Blood Demand Using the Support Vektor Regression Method (Case Study: Blood Transfusion Unit-PMI Central Lombok)

JISA (Jurnal Informatika dan Sains), 2023
Blood is an important component produced by the human body. Blood is also a very vital part of human survival. When blood levels in the human body are less than they should be, the way to overcome this is by donating blood or blood transfusion.
Yati Apriati, Wafiah Murniati, Saikin Saikin, Sofiansyah Fadli, Hairul Fahmi   +4 more
doaj   +1 more source