Results 71 to 80 of about 37,859 (302)

Volatility analysis and forecasting of vegetable prices using an ARMA‐GARCH model: An application of the CF filter and seasonal adjustment method to Korean green onions

open access: yesAgribusiness, EarlyView.
Abstract The vegetable market experiences significant price fluctuations due to the complex interplay of trend, cyclical, seasonal, and irregular factors. This study takes Korean green onions as an example and employs the Christiano–Fitzgerald filter and the CensusX‐13 seasonal adjustment methods to decompose its price into four components: trend ...
Yiyang Qiao, Byeong‐il Ahn
wiley   +1 more source

Arabica Coffee Sales Forecasting Using ARIMA Neural Network (Case Study: KOTEM Bondowoso): Author's Country: Indonesia

open access: yesBuana Information Technology and Computer Sciences
Kopi Tembakau (KOTEM) Bondowoso is a local coffee producer specializing in Arabica ground coffee, sourced directly from nearby farmer cooperatives. A major hurdle they face is accurately forecasting sales, a critical factor for optimizing production and ...
Muhammad Ariful Furqon   +2 more
doaj   +1 more source

Ensino a distância na formação inicial de professores : a difícil adaptação do modelo MAPE aos alunos do primeiro ano [PDF]

open access: yes, 2018
III Simpósio Internacional sobre Desenvolvimento Profissional Docente e III Congresso Internacional sobre Formação e Desenvolvimento Profissional Docente, Curitiba(PR) UTFPR, 2018.A presente comunicação aborda um estudo sobre uma experiência de ensino a ...
Sousa, Francisco
core  

A new drag and lift correlation for spherocylinders from fully resolved Immersed Boundary Method

open access: yesAIChE Journal, EarlyView.
Abstract Many industrial processes deal with non‐spherical particles, e.g., mineral mining and biomass conversion. It is crucial to understand the particles' hydrodynamics to control and optimize these processes. To extend the current state‐of‐the‐art from arrays of spherical particles to spherocylindrical particles, we performed extensive particle ...
A. H. Huijgen   +4 more
wiley   +1 more source

Peramalan Alokasi Anggaran Dana Pensiun di Kabupaten Banyumas dengan Metode Triple Exponential Smoothing

open access: yesHexagon
Jumlah Aparatur Sipil Negara (ASN) di Kabupaten Banyumas hingga Januari 2023 adalah 148.384 orang terdiri dari Pegawai Negeri Sipil (PNS) dan Pegawai Pemerintah dengan Perjanjian Kerja (P3K).
Nur Jannah   +2 more
doaj   +1 more source

A practical electrodialysis model for accelerating system development

open access: yesAIChE Journal, EarlyView.
Abstract Empirical optimization of electrodialysis (ED) is dependent on repetitive experiments with incremental adjustments, which is cost prohibitive at scale. While models can reduce the costs associated with optimization and scale‐up, existing ED models are limited in application to specific use cases and tend to be developed for the exploration of ...
Smith Pittman   +3 more
wiley   +1 more source

SUSCEPTIBLE VACCINATED INFECTED RECOVERED SUSCEPTIBLE MODEL: EQUILIBRIA POINTS AND APPLICATION ON COVID-19 CASE DATA IN INDONESIA

open access: yesBarekeng
Severe Respiratory Syndrome Coronavirus-2 is the infectious agent that causes COVID-19. A vaccine program is an effort to stop the spread of COVID-19 infections in Indonesia.
Purnami Widyaningsih   +2 more
doaj   +1 more source

PERAMALAN MENGGUNAKAN METODE DOUBLE EXPONENTIAL SMOOTHING DAN VERIFIKASI HASIL PERAMALAN MENGGUNAKAN GRAFIK PENGENDALI TRACKING SIGNAL (STUDI KASUS: DATA IHK PROVINSI KALIMANTAN TIMUR)

open access: yesBarekeng, 2020
This study uses IHK data from East Kalimantan Province in January 2016 to February 2019, which has a patterned trend. Data that shows a trend, can use double exponential smoothing forecasting one parameter from Brown and two parameters from Holt.
Humairo Dyah Puji Habsari   +2 more
doaj   +1 more source

FIRE‐GNN: Force‐Informed, Relaxed Equivariance Graph Neural Network for Rapid and Accurate Prediction of Surface Properties

open access: yesAdvanced Intelligent Discovery, EarlyView.
This study introduces FIRE‐GNN, a force‐informed, relaxed equivariant graph neural network for predicting surface work functions and cleavage energies from slab structures. By incorporating surface‐normal symmetry breaking and machine learning interatomic potential‐derived force information, the approach achieves state‐of‐the‐art accuracy and enables ...
Circe Hsu   +5 more
wiley   +1 more source

Machine Learning Driven Inverse Design of Broadband Acoustic Superscattering

open access: yesAdvanced Intelligent Discovery, EarlyView.
Multilayer acoustic superscatterers are designed using machine learning to achieve broadband superscattering and strong sound insulation. By incorporating a weighted mean absolute error into the loss function, the forward and inverse neural networks accurately map structural parameters to spectral responses.
Lijuan Fan, Xiangliang Zhang, Ying Wu
wiley   +1 more source

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