Results 161 to 170 of about 27,723 (301)

Improvement for exponential smoothing

, 2021
Exponential smoothing methods have been employed since 1950s and they aremost popular and used methods in business and industry for forecasting. Howeverthere are two main problems about choosing the smoothing constant and startingvalue. In this thesis a new method is introduced for smoothing constant and startingvalue.
openaire   +1 more source

Metal‐Enhanced Charge Transport and its Mechanism in Atomically Precise Ruthenium Single‐Molecule Devices

Advanced Science, EarlyView.
An atomically precise platform was developed for investigating single‐molecule charge transport. This innovative platform enables the creation of highly uniform molecular devices using ruthenium‐based molecules. It reveals a significant enhancement in molecular conductance due to the metallic ruthenium center and a unique barrier‐lowering effect during
Jie Guo, Qinghua Gao, Ping Duan, Cong Zhao, Huimin Wen, Xiaoyan He, Lucie Norel, Yuzhe Zhang, Chunwen Wang, Wu Zhou, Xinyue Chang, Ju Wang, Stéphane Rigaut, Mingliang Li, Chuancheng Jia, Xuefeng Guo   +15 more
wiley   +1 more source

Time series prediction of under-five mortality rates for Nigeria: comparative analysis of artificial neural networks, Holt-Winters exponential smoothing and autoregressive integrated moving average models. [PDF]

BMC Med Res Methodol, 2020
Adeyinka DA, Muhajarine N.
europepmc   +1 more source

Endoplasmic Reticulum Geometry Dictates Neuronal Bursting via Calcium Store Refill Rates and Exposes Selective Neuronal Vulnerability

Advanced Science, EarlyView.
The ER's continuous tubular network is maintained by ER‐shaping proteins whose mutation or dysregulation contributes to neurodegenerative diseases. Here, we show that ER morphology sets the speed of Ca2+ store replenishment between firing events. Disrupting ER continuity slows intra‐ER Ca2+ redistribution from extracellular refill (SOCE) sites, driving
Valentina Davi, Pierre Parutto, Yuyi Zhang, Tasuku Konno, Cecile Crapart, Raquel Pereira, John P. Franklin, Mosab Ali Awadelkareem, Daniel C Maddison, Michael J. Devine, Edgar R. Gomes, Joseph Chambers, Elena Koslover, Edward Avezov   +13 more
wiley   +1 more source

Modeling and forecasting Saudi banking stability using ARIMA and exponential smoothing technique. [PDF]

Front Artif Intell
Alnajjar A, Assous HF, Al-Najjar H.
europepmc   +1 more source

Printable Conductive Hydrogels for Electrochemical Biosensing and Soft Bioelectronic Interfaces

Advanced Science, EarlyView.
Flexible, conductive hydrogels that integrate printability, mechanical tunability, biocompatibility, and electronic performance remain challenging to achieve. Here, we develop 3D‐printable poly(ethylene glycol)–poly(pyrrole)‐ hydrogels with tissue‐like mechanics, high cytocompatibility, and robust electrochemical function.
Lukas Hein, Renan Colucci, Xin Wei, Tsvetomir Ivanov, Katharina Landfester, Ulrike Kraft, Maria Villiou   +6 more
wiley   +1 more source

Enhancing Winters exponential smoothing: a novel approach with back-casting, Grey Wolf Optimization, and error tracking. [PDF]

Sci Rep
Karakullukcu E.
europepmc   +1 more source

Traction Force Microscopy for Viscoelastic Substrates: A Semi‐Analytical Method

Advanced Science, EarlyView.
A semi‐analytical viscoelastic traction force microscopy framework is introduced for quantifying time‐resolved cell tractions on flat finite‐thickness substrates. The method generalizes elastic traction force microscopy to Generalized Maxwell materials, identifies when elastic approximations remain valid and, when they do not, shows that inferred ...
Adrià Villacrosa‐Ribas, Daniëlle C. A. Duffhues, Pim van den Bersselaar, Sarah Pragnere, Bart G. W. Groenen, Mariana Azevedo Gonzalez Oliva, Giuseppe Ciccone, Manuel Salmeron‐Sanchez, Carlijn V. C. Bouten, Jose J. Muñoz, Vito Conte   +10 more
wiley   +1 more source

The vector innovation structural time series framework: a simple approach to multivariate forecasting [PDF]

The vector innovation structural time series framework is proposed as a way of modelling a set of related time series. Like all multi-series approaches, the aim is to exploit potential inter-series dependencies to improve the fit and forecasts.
Rob J. Hyndman, Ashton de Silva, Ralph D. Snyder   +2 more
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