Results 131 to 140 of about 6,424 (292)

Double Exponential Smoothing Forecasting Food Crop Yields Using Geographic Information Systems

open access: yesJurnal Sisfokom
Food is a source of basic needs for every living creature, so food security is an interesting issue for every country. This raises problems regarding food and land use, especially in Sungai Penuh City.
Dovel Pirmanto
doaj   +1 more source

New High‐Tc Charge‐Transfer Multiferroicity in the Quasi‐2D Antiferromagnet CrSbS3

open access: yesAdvanced Science, EarlyView.
ABSTRACT Low‐dimensional magnets, particularly 2D systems, offer a rich platform for realizing unconventional multiferroic mechanisms, especially when multiple polarization channels coexist. In the quasi‐2D antiferromagnet CrSbS3, which crystallizes in the centrosymmetric orthorhombic space group Pnma and orders magnetically at TN ≈ 90 K, two ...
Hung‐Cheng Wu   +17 more
wiley   +1 more source

Nonparametric estimation of mean and dispersion functions in extended generalized linear models. [PDF]

open access: yes
In this paper the interest is in regression analysis for data that show possibly overdispersion or underdispersion. The starting point for modeling are generalized linear models in which we no longer admit a linear form for the mean regression function ...
Prosdocimi, Ilaria   +2 more
core  

Peramalan Market Intelligent Komoditas di Kalimantan Barat Dengan Metode Moving Average, Single Exponential Smoothing dan Double Exponential Smoothing

open access: yes
Forecasting atau prediksi dapat sangat berguna bagi para investor untuk dapat menggambarkan harga komoditas di masa depan. Prediksi yang dilakukan dapat digunakan sebagai antisipasi bila harga komoditas mengalami kenaikan atau penurunan.
Alvionita, Modesta Noviani   +2 more
core   +1 more source

PENERAPAN METODE DOUBLE EXPONENTIAL SMOOTHING DARI BROWN UNTUK PREDIKSI PENDAPATAN MINIMARKET

open access: yesJurnal Lebesgue
Indomaret is a trade mini market that sells retail goods originating from factories and then distributed at retail prices. Indomaret's revenue is obtained from the sale of merchandise according to the price determined by the company.
Lina Lina   +2 more
doaj   +1 more source

Cross‐Modal Denoising and Integration of Spatial Multi‐Omics Data with CANDIES

open access: yesAdvanced Science, EarlyView.
In this paper, we introduce CANDIES, which leverages a conditional diffusion model and contrastive learning to effectively denoise and integrate spatial multi‐omics data. We conduct extensive evaluations on diverse synthetic and real datasets, CANDIES shows superior performance on various downstream tasks, including denoising, spatial domain ...
Ye Liu   +5 more
wiley   +1 more source

SISTEM PREDIKSI MATA UANG RUPIAH MENGGUNAKAN METODE DOUBLE EXPONENTIAL SMOOTHING

open access: yes, 2023
Fluktuasi nilai Rupiah memiliki dampak signifikan bagi investor, mempengaruhi keputusan investasi dan risiko yang diambil. Penelitian ini bertujuan untuk menerapkan dan menguji metode Double Exponential Smoothing dalam meramalkan nilai Rupiah. Pendekatan
Rohmatin, Devi Illa
core  

RANCANG SISTEM INFORMASI PERSEDIAAN BAHAN BAKU TERKOMPUTERISASI PT. KPL

open access: yesJurnal Manajemen dan Wirausaha, 2001
This study was done at PT. KPL which produces plastic goods. In order to compete with other plastic goods manufacturers during the economic crisis, PT. KPL must be able to minimize production costs. One of the ways is to reduce raw materials cost.
Oviliani Yenty Yuliana, Tanti Octavia
doaj  

Prediction of SDG 6.2 Achievement in Indonesia Using Double Exponential Smoothing

open access: yesJurnal Sisfokom
This research aims to forecast Indonesia’s progress in achieving Sustainable Development Goal (SDG) 6.2, which targets 100% access to adequate sanitation and elimination of open defecation (OD) by 2030.
Nazwa Nabila   +2 more
doaj   +1 more source

ML Workflows for Screening Degradation‐Relevant Properties of Forever Chemicals

open access: yesAdvanced Science, EarlyView.
The environmental persistence of per‐ and polyfluoroalkyl substances (PFAS) necessitates efficient remediation strategies. This study presents physics‐informed machine learning workflows that accurately predict critical degradation properties, including bond dissociation energies and polarizability.
Pranoy Ray   +3 more
wiley   +1 more source

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