Results 31 to 40 of about 151,895 (237)
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
Time‐resolved X‐ray solution scattering captures how proteins change shape in real time under near‐native conditions. This article presents a practical workflow for light‐triggered TR‐XSS experiments, from data collection to structural refinement. Using a calcium‐transporting membrane protein as an example, the approach can be broadly applied to study ...
Fatemeh Sabzian‐Molaei +3 more
wiley +1 more source
Exponential Smoothing and Particle Filter
To more accurately predict the remaining useful life of batteries, in this paper, a novel hybrid method that includes a particle filter, exponential smoothing and a capacity degradation model is proposed.
Chaofeng Pan +3 more
doaj +1 more source
The increase in the number of airplane passengers occurs at certain times, such as Eid al-Adha, Eid al-Fitr, and Christmas holidays. Of course, an excessive rise in the number of passengers can cause extreme flight traffic density so that which can cause
Yuniar Farida +2 more
doaj +1 more source
This paper proposes two projector‐based Hopfield neural network (HNN) estimators for online, constrained parameter estimation under time‐varying data, additive disturbances, and slowly drifting physical parameters. The first is a constraint‐aware HNN that enforces linear equalities and inequalities (via slack neurons) and continuously tracks the ...
Miguel Pedro Silva
wiley +1 more source
A Workflow to Accelerate Microstructure‐Sensitive Fatigue Life Predictions
This study introduces a workflow to accelerate predictions of microstructure‐sensitive fatigue life. Results from frameworks with varying levels of simplification are benchmarked against published reference results. The analysis reveals a trade‐off between accuracy and model complexity, offering researchers a practical guide for selecting the optimal ...
Luca Loiodice +2 more
wiley +1 more source
Determination of Optimum Smoothing Constant of Single Exponential Smoothing Method: A Case Study [PDF]
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
Curvature‐tuned auxetic lattices are designed, fabricated, and mechanically characterized to reveal how geometric curvature governs stretchability, stress redistribution, and Poisson's ratio evolution. Photoelastic experiments visualize stress pathways, while hyperelastic simulations quantify deformation mechanics.
Shuvodeep De +3 more
wiley +1 more source
PERBANDINGAN METODE ARIMA DAN EXPONENTIAL SMOOTHING HOLT-WINTERS UNTUK PERAMALAN DATA KUNJUNGAN
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
Queue Management Algorithm for Satellite Networks Based on Traffic Prediction
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

