Results 41 to 50 of about 421,961 (294)

PERBANDINGAN METODE ARIMA DAN EXPONENTIAL SMOOTHING HOLT-WINTERS UNTUK PERAMALAN DATA KUNJUNGAN

open access: yesSistemasi: Jurnal Sistem Informasi, 2020
A visit to the creative economy park is a place designed using strategic objectives in collaborating technology capabilities, transferring information and knowledge, planting innovative high-tech companies and entrepreneurs, bringing up new technology ...
Rumini Rumini, Norhikmah Norhikmah
doaj   +1 more source

Determination of Optimum Smoothing Constant of Single Exponential Smoothing Method: A Case Study [PDF]

open access: yesInternational Journal of Research in Industrial Engineering, 2017
Exponential smoothing is a sophisticated forecasting method that works based on previous forecast plus a percentage of the forecast error. A key issue of this technique is the proper choice of exponential smoothing constant.
C. L. Karmaker
doaj   +1 more source

Optimizing photoexcitation conditions for time‐resolved X‐ray solution scattering experiments

open access: yesFEBS Open Bio, EarlyView.
Time‐resolved X‐ray solution scattering (TR‐XSS) is a powerful technique to visualize how proteins change their structure in real time after light activation. Selecting the right laser photoexcitation conditions—fluence, excitation geometry, and sample refresh rate—is critical to maximize the experimental signal while avoiding unwanted side effects ...
Matteo Levantino
wiley   +1 more source

IMPLEMENTASI METODE TRIPLE EXPONENTIAL SMOOTHING DALAM MERAMALKAN PENERIMAAN CUKAI HASIL TEMBAKAU DI KPPBC TMP C BLITAR

open access: yesJurnal Diferensial, 2022
Peramalan merupakan alat bantu yang penting dalam perencanaan yang efektif dan efisien. Salah satu metode time series dalam peramalan objektif adalah metode exponential smoothing yang merupakan suatu prosedur yang secara terus menerus memperbaiki ...
Susi Darmawaningsih, Rizka Rizqi Robby
doaj   +1 more source

Sex‐Stratified Association of Regional Dopamine Transporter Binding With Disease Progression in Amyotrophic Lateral Sclerosis

open access: yesAnnals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective To clarify the clinical relevance of dopamine transporter single‐photon emission computed tomography (DAT‐SPECT) abnormalities in amyotrophic lateral sclerosis (ALS), with a prespecified focus on sex‐stratified associations with disease progression and short‐term prognosis.
Tomoya Kawazoe   +7 more
wiley   +1 more source

Queue Management Algorithm for Satellite Networks Based on Traffic Prediction

open access: yesIEEE Access, 2022
In connexion with the effect of the self-similar characteristic of satellite network service traffic on queueing performance, a prediction model with optimised triple exponential smoothing is first established in this paper.
Yuxia Bie   +3 more
doaj   +1 more source

Comparative Analysis of Single Exponential Smoothing and Holt's Method for Quality of Hospital Services Forecasting in General Hospital

open access: yes, 2020
The quality health service is one of the basic necessities of any person or customer. To predict the number of goods can be done in a way predicted. The comparison method of Single Exponential Smoothing and Holt's method is used to predict the accuracy ...
Suhartono, Suhartono, Rachmat, Rachmat
core   +1 more source

Observer‐Based Adaptive Event‐Triggered Tracking Control for Fuzzy TS Systems With Premise Mismatch

open access: yesInternational Journal of Adaptive Control and Signal Processing, EarlyView.
This paper presents an adaptive logistic event‐triggered observer‐based tracking controller for Takagi‐Sugeno fuzzy systems under constrained inputs and network delays. Leveraging a hybrid LMI and Secretary Bird Optimization approach, this strategy significantly minimizes communication overhead and computational burden while ensuring optimal reference ...
Oussama Djadane   +3 more
wiley   +1 more source

dynoGP: Deep Gaussian Processes for Dynamic System Identification

open access: yesInternational Journal of Adaptive Control and Signal Processing, EarlyView.
This work introduces a novel class of deep models for system identification, dynamical deep Gaussian processes, which combine the strengths of data‐driven methods, such as those based on neural network architectures, with the ability to output a probability distribution for uncertainty representation.
Alessio Benavoli   +3 more
wiley   +1 more source

FORECASTING PERMINTAAN POMPA AIR DANGKAL SHIMIZU MENGGUNAKAN METODE TIME SERIES

open access: yesSistemasi: Jurnal Sistem Informasi, 2020
Jumlah produksi pompa air sumur dangkal PS 128 bit menunjukkan ketidakseimbangan dengan jumlah permintaan, hal itu menunjukkan bahwa jumlah produk yang di produksi lebih banyak daripada jumlah permintaan pelanggan, sehingga menyebabkan biaya gudang yang ...
Pajri Al Zukri   +2 more
doaj   +1 more source

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