Results 41 to 50 of about 18,633 (295)

Implementation of the Triple Exponential Smoothing Method for Predicting Helmet Sales

JOINCS (Journal of Informatics, Network, and Computer Science), 2022
Helmet stock at the Trend Helmet store is very important to prepare, because it is for the readiness of goods to be sold in the future. Therefore, it is necessary to do forecasting to find out the estimated stock in the future. The method that can be used to predict the stock of goods for several periods at once is Triple Exponential Smoothing.
Ronggo Bayu Saputro, Kurnia Paranita Kartika, Wahyu Dwi Puspitasari   +2 more
openaire   +1 more source

A Workflow to Accelerate Microstructure‐Sensitive Fatigue Life Predictions

Advanced Engineering Materials, EarlyView.
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, Krzysztof S. Stopka, Michael D. Sangid   +2 more
wiley   +1 more source

Modeling and Forecasting Daily Hotel Demand: A Comparison Based on SARIMAX, Neural Networks, and GARCH Models

Forecasting, 2021
Overnight forecasting is a crucial challenge for revenue managers because of the uncertainty associated between demand and supply. However, there is limited research that focuses on predicting daily hotel demand.
Apostolos Ampountolas
doaj   +1 more source

Multifunctional Crushing and Piezoresistive Self‐Sensing in Conductive Epoxy/CNT‐Coated Polyetherimide TPMS Lattices

Advanced Engineering Materials, EarlyView.
This study reports lightweight polyetherimide triply periodic minimal surfaces lattices coated with carbon nanotube‐reinforced epoxy that combine mechanical robustness with self‐sensing. The conformal coating enhances stiffness, strength and energy absorption while enabling reliable strain monitoring.
A. Triay, J. Schneider, P. Harrison, S. Kumar   +3 more
wiley   +1 more source

Perbandingan Metode Single Exponential Smoothing, Double Exponential Smoothing, dan Triple Exponential Smoothing dalam Analisis Realisasi APBD Kota Medan

Indonesia Bergerak : Jurnal Hasil Kegiatan Pengabdian Masyarakat
This research compares three forecasting methods, namely Single Exponential Smoothing (SES), Double Exponential Smoothing (DES), and Triple Exponential Smoothing (TES), in analyzing the realization of the Medan City Regional Budget (APBD) for the 2019-2024 period.
null Riri Syafitri Lubis, null Dinda Renata Cecilia, null Sintia Agustina Siregar, null Fuja Nauli Pasaribu, null Ahmad Sugarda   +4 more
openaire   +1 more source

Laser‐Induced Graphene from Waste Almond Shells

Advanced Functional Materials, EarlyView.
Almond shells, an abundant agricultural by‐product, are repurposed to create a fully bioderived almond shell/chitosan composite (ASC) degradable in soil. ASC is converted into laser‐induced graphene (LIG) by laser scribing and proposed as a substrate for transient electronics.
Yulia Steksova, Anna Chiara Bressi, Marina Galliani, Attilio Marino, Gianni Ciofani, Eduardo Machado‐Charry, Hilda Gomez Bernal, Alessandra Francini, Luca Sebastiani, Francesco Greco   +9 more
wiley   +1 more source

Analysis of the Impact of the Fed’s Interest Rate Hike Policy Based on the Triple Exponential Smoothing Method [PDF]

SHS Web of Conferences
The US has been employing quantitative easing and printing money for more than a decade, fueling inflation while lifting government debt. To deal with the high CPI, the Federal Reserve (Fed) has resorted to a policy of interest rate hikes, especially in ...
Zhang Jie, Yan Mingzhi
doaj   +1 more source

Development of a neural network mathematical model for demand forecasting in fluctuating markets [PDF]

, 2013
Research has shown that Neural Networks (NNs) when trained appropriately are the best forecasting system compared to conventional techniques. Research has shown that there is no system to accurately forecast sudden changes in demand for a given product.
Akdemir, Başak, Bilgili, Erdem, Singh, Lakhvir, Ziarati, Martin, Ziarati, Reza   +4 more
core  

Sustainable Catalyst‐Free PLG Networks: Recyclability, Biodegradability, and Functional Performance

Advanced Functional Materials, EarlyView.
A catalyst‐additive free covalent adaptable network is developed from star‐shaped poly(lactide‐co‐glycolide) cross‐linked with pyromellitic dianhydride, enabling internal carboxylic acid‐driven transesterification. The resulting biodegradable network exhibits mechanical robustness (Young's modulus ≈1.6 GPa), complete recyclability, rapid biodegradation
Lars Schwarzer, Emilia Fulajtar, Seema Agarwal   +2 more
wiley   +1 more source

Mental health attendances in Australia during the COVID-19 pandemic: A telehealth success story?

European Psychiatry, 2021
Introduction The COVID-19 pandemic has significantly impacted the delivery of mental health services globally. Within Australia, the COVID-19 pandemic and subsequent containment measures have led to reduced face-to-face attendances.
S. Giles, S. Sreedharan, M. Mian
doaj   +1 more source