Results 11 to 20 of about 11,007,356 (93)
Intermittent demand forecasts with neural networks [PDF]
, 2013 Intermittent demand appears when demand events occur only sporadically. Typically such time series have few observations making intermittent demand forecasting challenging.
Kourentzes, Nikolaos, +1 more
core +5 more sources
On the bias of Croston''s forecasting method [PDF]
, 2006 Croston's forecasting method has been shown to be appropriate in dealing with intermittent demand items. The method, however, suffers from a positive bias as shown by Syntetos and Boylan (2001, 2005) who proposed a modification.
Teunter, R H, Sani, B
core +4 more sources
Forecasting intermittent demand [PDF]
, 2006 Methods for forecasting intermittent demand are compared using a large data-set from the UK Royal Air Force (RAF). Several important results are found.
Teunter, R H, Duncan, L
core +4 more sources
Forecasting in airforce supply chains [PDF]
, 2011 Purpose – The UK Chinook helicopter is a utility and attack helicopter being operated by the Royal Air Force (RAF). Its versatile nature is of enormous importance to the strategic capability of the RAF's operations.
Ojiako, Udechukwu +3 more
core +5 more sources
Improving forecasting by estimating time series structural components across multiple frequencies [PDF]
, 2014 Identifying the appropriate time series model to achieve good forecasting accuracy is a challenging task. We propose a novel algorithm that aims to mitigate the importance of model selection, while increasing accuracy.
Trapero, Juan Ramon +2 more
core +5 more sources
The finite-volume method in computational rheology [PDF]
, 2012 The finite volume method (FVM) is widely used in traditional computational fluid dynamics (CFD), and many commercial CFD codes are based on this technique which is typically less demanding in computational resources than finite element methods (FEM ...
Pinho, F.T. +4 more
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Lexical Traces of AI: Linguistic Impact of Generative Tools in Academic Abstracts
Learned Publishing, Volume 39, Issue 3, July 2026.ABSTRACT The widespread availability of generative AI tools is reshaping scholarly discourse at a linguistic level. This study investigates the diffusion of AI‐associated vocabulary in abstracts indexed in Scopus, focusing on post‐2022 patterns that emerged after the public release of tools such as ChatGPT.
Rubén Comas Forgas +3 more
wiley +1 more source
Intermittent Time Series Demand Forecasting Using Dual Convolutional Neural Networks
MendelForecasting intermittent demands is challenging due to their irregular and unpredictable demand pattern. This makes the businesses unprepared for upcoming demands, where the conventional methods often fail to predict the demand occurrence pattern ...
Sina Mirshahi +2 more
doaj +1 more source
How to Foster Challenging Interdisciplinary Collaborations: Can Philosophy Support Neuroscientists?
European Journal of Neuroscience, Volume 63, Issue 11, June 2026.Neuroscience as part of the natural sciences can engage in interdisciplinary projects with other academic disciplines, such as the humanities and the social science. In addition, within the overall disciplinary framework of neuroscience, interdisciplinary‐type interactions can occur between the fields of biological, clinical, and computational ...
M. Kunze +8 more
wiley +1 more source
Experimental Physiology, Volume 111, Issue 4, Page 1643-1651, 1 April 2026.Abstract Type 2 diabetes (T2D) is a global epidemic, with heart failure being the leading cause of premature death. Mitochondrial dysfunction, characterized by impaired energy metabolism, weakened energy transport system and increased oxidative stress, has been proposed as a key contributor to the impairment of contractile function in T2D hearts ...
Toan Pham +4 more
wiley +1 more source