Results 71 to 80 of about 13,673 (195)

Innovative Approaches to Modelling and Forecasting in Fisheries: A Critical Review

open access: yesAquaculture, Fish and Fisheries, Volume 6, Issue 1, February 2026.
ABSTRACT Fisheries management increasingly demands robust forecasting tools to address growing environmental variability, anthropogenic pressures and complex ecological dynamics. This review systematically examines innovative modelling and forecasting approaches in fisheries, focusing on their descriptions, applications, strengths and limitations and ...
Mohammad Abu Baker Siddique   +5 more
wiley   +1 more source

Forecasting electricity spot market prices with a k-factor GIGARCH process [PDF]

open access: yes
In this article, we investigate conditional mean and variance forecasts using a dynamic model following a k-factor GIGARCH process. We are particularly interested in calculating the conditional variance of the prediction error.
Abdou Kâ Diongue   +2 more
core   +3 more sources

COMPARISON OF SARIMA AND SARIMAX METHODS FOR FORECASTING HARVESTED DRY GRAIN PRICES IN INDONESIA

open access: yesBarekeng
Harvested dry grain (HDG) is a vital commodity for rice availability and plays a strategic role in Indonesia’s agricultural economy. Farmers typically sell HDG to rice millers post-harvest, yet disparities between farm-level selling prices and consumer ...
Riska Yulianti   +4 more
doaj   +1 more source

Metascheduling of HPC Jobs in Day-Ahead Electricity Markets

open access: yes, 2017
High performance grid computing is a key enabler of large scale collaborative computational science. With the promise of exascale computing, high performance grid systems are expected to incur electricity bills that grow super-linearly over time.
Murali, Prakash, Vadhiyar, Sathish
core   +1 more source

Whitings in the Red Sea

open access: yesThe Depositional Record, Volume 12, Issue 1, February 2026.
We present the first documentation of whitings in the Red Sea, observed in a lagoonal environment. These events are linked to cascading offshore dense waters that liberate trapped sea floor nutrients, triggering algal blooms and elevating alkalinity, which is buffered by direct CaCO3 precipitation—contributing to the accumulation of aragonite mud in ...
Manuel Ariza‐Fuentes   +8 more
wiley   +1 more source

Polygonal tepee structures of Arabia

open access: yesThe Depositional Record, Volume 12, Issue 1, February 2026.
Tepee structures on Sheybarah Island form polygonal microbial cemented crusts in the intertidal. Radiocarbon dating suggests they formed in the Holocene and reflect minor sea‐level changes, highlighting their value as palaeoenvironmental indicators. Satellite surveys identified 126 polygonal features, including coral reefs that may have developed on ...
Pauline Falkenberg   +6 more
wiley   +1 more source

PERAMALAN JUMLAH KEDATANGAN WISATAWAN MANCANEGARA KE SUMATERA BARAT MELALUI BANDARA INTERNASIONAL MINANGKABAU DENGAN MODEL SARIMA

open access: yesJurnal Matematika UNAND, 2019
Jumlah kedatangan wisatawan mancanegara ke Sumatera Barat melalui Bandara Internasional Minangkabau cenderung mengalami perubahan di setiap tahunnya.
Prawati Ningsih   +2 more
doaj   +1 more source

A Seasonal Autoregressive Integrated Moving Average (SARIMA) Model to Forecasting Tourist Arrival in the Philippines: A Case Study in Moalboal, Cebu (Philippines)

open access: yesRecoletos Multidisciplinary Research Journal, 2020
Forecasting plays a critical part in implementing effective tourism management strategies. However, the role of tourism forecasting is not extensively studied in the Philippines, which is a key tourism destination in Southeast Asia.
Severina P. Velos   +3 more
doaj   +1 more source

Metode SARIMA ARCH PERAMALAN JUMLAH PRODUKSI PADI KABUPATEN NGAWI MENGGUNAKAN METODE SARIMA ARCH

open access: yesMATHunesa: Jurnal Ilmiah Matematika
Seasonal Autoregressive Integrated Moving Average (SARIMA) adalah metode peramalan time series untuk model data fluktuatif dengan pola data musiman. Model Autoregressive Conditional Heteroskedastisitas (ARCH) adalah model yang berfungsi untuk mengatasi masalah heteroskedastisitas atau varians redisual dalam data time series.
Hilda Najwa Dewi Fortuna   +1 more
openaire   +1 more source

Predicting Fatality and Injuries of Traffic Accidents by Conventional Time Series and Neural Network Modeling in Iran [PDF]

open access: yesJournal of Mazandaran University of Medical Sciences, 2023
Traffic accidents are one of the most important causes of death and disability in the world, which cause much damage to countries and millions of people every year.
Mohsen Arami Sham Asbi   +2 more
doaj  

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