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Forecast with Forecasts
Forecast combinations have been widely applied in the last few decades to improve forecasting. Estimating optimal weights that can outperform simple averages is not always an easy task. In recent years, the idea of using time...
empirical evaluation Forecast combination Forecast diversity Forecasting Prediction intervals /dk/atira/pure/subjectarea/asjc/1700/1700 name=General Computer Science /dk/atira/pure/subjectarea/asjc/2600/2611 name=Modelling and Simulation /dk/atira/pure/subjectarea/asjc/1800/1803 name=Management Science and Operations Research /dk/atira/pure/subjectarea/asjc/1800/1802 name=Information Systems and Management
Improving forecasting by subsampling seasonal time series
Time series forecasting plays an increasingly important role in modern business decisions. In today's data-rich environment, people often aim to choose the optimal forecasting model for their data. However, identifying the...
Forecasting combinations Load forecasting sub-seasonal patterns Subsampling /dk/atira/pure/subjectarea/asjc/1400/1408 name=Strategy and Management /dk/atira/pure/subjectarea/asjc/1800/1803 name=Management Science and Operations Research /dk/atira/pure/subjectarea/asjc/2200/2209 name=Industrial and Manufacturing Engineering
Large Language Models
ChatGPT, a state-of-the-art large language model (LLM), is revolutionizing the AI field by exhibiting humanlike skills in a range of tasks that include understanding and answering natural language questions, translating...
ChatGPT Forecasting Large Language Models /dk/atira/pure/subjectarea/asjc/1800/1801 name=Decision Sciences (miscellaneous) /dk/atira/pure/subjectarea/asjc/2000/2001 name=Economics, Econometrics and Finance (miscellaneous) /dk/atira/pure/subjectarea/asjc/1700/1706 name=Computer Science Applications /dk/atira/pure/subjectarea/asjc/1700/1703 name=Computational Theory and Mathematics
Research on Irregular Flight Recovery Strategy Under Different Flight Route Types With Big Data Computing
During periods of extreme weather conditions, airport closures, or other unforeseen circumstances, air-lines frequently encounter disruptions in their flight schedules, posing flight recovery as a recurrent operational...
Published by: IGI Global Scientific Publishing
The uncertainty estimation of feature-based forecast combinations
Forecasting is an indispensable element of operational research (OR) and an important aid to planning. The accurate estimation of the forecast uncertainty facilitates several operations management activities, predominantly in...
Improving forecasting by subsampling seasonal time series
Time series forecasting plays an increasingly important role in modern business decisions. In today's data-rich environment, people often aim to choose the optimal forecasting model for their data. However, identifying the...
Forecasting combinations Load forecasting sub-seasonal patterns Subsampling /dk/atira/pure/subjectarea/asjc/1400/1408 name=Strategy and Management /dk/atira/pure/subjectarea/asjc/1800/1803 name=Management Science and Operations Research /dk/atira/pure/subjectarea/asjc/2200/2209 name=Industrial and Manufacturing Engineering
The uncertainty estimation of feature-based forecast combinations
Forecasting is an indispensable element of operational research (OR) and an important aid to planning. The accurate estimation of the forecast uncertainty facilitates several operations management activities, predominantly in...
Dumbbell shaped craniorbital cavernous hemangioma
Xingping Qin, Farhana Akter, Lingxia Qin, Qiurong Xie, Yanfei Li, Hongkuan Yang, Xin Li, Guo Zhang, Songlin Wu, Renzhong Liu
Jun 06, 2020
Abstract: Background: Cavernous hemangioma of the orbit is a benign tumor mostly located behind the eye globe, but it rarely spread into the brain, which is called cerebral cavernous malformation as well, the lesion in the brain...
On the investigation of composite cooling/heating set gel systems based on rice starch and curdlan
Jing Wang, Qianhui Ma, Pingxiong Cai, Xinyu Sun, Qingjie Sun, Man Li, Yanfei Wang, Lei Zhong, Fengwei Xie
Apr 16, 2024
In pursuit of advancing the understanding of composite gel systems, this study delves into the intricate realm of rheology, structural elucidation, and mechanical attributes. Specifically, it scrutinizes the symbiotic...
Dumbbell shaped craniorbital cavernous hemangioma.
Xingping Qin, Farhana Akter, Lingxia Qin, Qiurong Xie, Yanfei Li, Hongkuan Yang, Xin Li, Guo Zhang, Songlin Wu, Renzhong Liu
Apr 22, 2021
BACKGROUND: Cavernous hemangioma of the orbit is a benign tumor mostly located behind the eye globe, but it rarely spread into the brain, which is called cerebral cavernous malformation as well, the lesion in the brain is...
Forecast with Forecasts
Forecast combinations have been widely applied in the last few decades to improve forecasting. Estimating optimal weights that can outperform simple averages is not always an easy task. In recent years, the idea of using time...
empirical evaluation Forecast combination Forecast diversity Forecasting Prediction intervals /dk/atira/pure/subjectarea/asjc/1700/1700 name=General Computer Science /dk/atira/pure/subjectarea/asjc/2600/2611 name=Modelling and Simulation /dk/atira/pure/subjectarea/asjc/1800/1803 name=Management Science and Operations Research /dk/atira/pure/subjectarea/asjc/1800/1802 name=Information Systems and Management
Large Language Models
ChatGPT, a state-of-the-art large language model (LLM), is revolutionizing the AI field by exhibiting humanlike skills in a range of tasks that include understanding and answering natural language questions, translating...
ChatGPT Forecasting Large Language Models /dk/atira/pure/subjectarea/asjc/1800/1801 name=Decision Sciences (miscellaneous) /dk/atira/pure/subjectarea/asjc/2000/2001 name=Economics, Econometrics and Finance (miscellaneous) /dk/atira/pure/subjectarea/asjc/1700/1706 name=Computer Science Applications /dk/atira/pure/subjectarea/asjc/1700/1703 name=Computational Theory and Mathematics
Feature-based intermittent demand forecast combinations
Intermittent demand forecasting is a ubiquitous and challenging problem in production systems and supply chain management. In recent years, there has been a growing focus on developing forecasting approaches for intermittent...
Intermittent demand forecasting Diversity empirical evaluation Forecast combinations time series features /dk/atira/pure/subjectarea/asjc/1400/1408 name=Strategy and Management /dk/atira/pure/subjectarea/asjc/1800/1803 name=Management Science and Operations Research /dk/atira/pure/subjectarea/asjc/2200/2209 name=Industrial and Manufacturing Engineering
Feature-based intermittent demand forecast combinations
Intermittent demand forecasting is a ubiquitous and challenging problem in production systems and supply chain management. In recent years, there has been a growing focus on developing forecasting approaches for intermittent...
Intermittent demand forecasting Diversity empirical evaluation Forecast combinations time series features /dk/atira/pure/subjectarea/asjc/1400/1408 name=Strategy and Management /dk/atira/pure/subjectarea/asjc/1800/1803 name=Management Science and Operations Research /dk/atira/pure/subjectarea/asjc/2200/2209 name=Industrial and Manufacturing Engineering
Transmission dynamics and control measures of COVID-19 outbreak in China
Xu-Sheng Zhang, Emilia Vynnycky, Andre Charlett, Daniela De Angelis, Zhengji Chen, Wei Liu
Mar 30, 2021
COVID-19 is reported to have been brought under control in China. To understand the COVID-19 outbreak in China and provide potential lessons for other parts of the world, in this study we apply a mathematical model with multiple...
Déjà vu
Yanfei Kang, Evangelos Spiliotis, Fotios Petropoulos, Nikolaos Athiniotis, Feng Li, Vassilios Assimakopoulos
Aug 31, 2021
Accurate forecasts are vital for supporting the decisions of modern companies. Forecasters typically select the most appropriate statistical model for each time series. However, statistical models usually presume some data...
A Study on Pollution in Livestock and Poultry Breeding in Shiyan City
With the investigation and research of agricultural ecology situation, the pollution characteristics of livestock manure were indicated by the statistical analysis of data as well as the effect of livestock and poultry breeding...
A think-aloud method of investigating translanguaging strategies in learning Chinese characters
Asian scripts that are significantly different from Roman-derived alphabets usually impose difficulties in learning. Translanguaging has therefore been explored as a pedagogical tool for the language classroom, including...
Matrix-free GPU implementation of a preconditioned conjugate gradient solver for anisotropic elliptic PDEs
Many problems in geophysical and atmospheric modelling require the fast solution of elliptic partial differential equations (PDEs) in “flat” three dimensional geometries. In particular, an anisotropic elliptic PDE for the...
Construction of the influenza A virus transmission tree in a college-based population
BACKGROUND: Co-infection of different influenza A viruses is known to occur but how viruses interact within co-infection remains unknown. An outbreak in a college campus during the 2009 pandemic involved two subtypes of...
A think-aloud method of investigating translanguaging strategies in learning Chinese characters
Asian scripts that are significantly different from Roman-derived alphabets usually impose difficulties in learning. Translanguaging has therefore been explored as a pedagogical tool for the language classroom, including...
Writing and Worship in Deng Zhimo’s Saints Trilogy
Around the turn of the seventeenth century, the prolific writer-editor Deng Zhimo produced three illustrated books narrating the lives of Lü Dongbin (The Flying Sword), Xu Xun (The Iron Tree), and Sa Shoujian (The...
N Ganany
Jan 30, 2022
Influence of Structure Parameters of Flux Diverters on Performance of Superconducting Energy Storage Coil
This article studies the influence of flux diverters (FDs) on energy storage magnets using high-temperature superconducting (HTS) coils. Based on the simulation calculation of the H equation finite-element model, FDs are...
critical current flux diverters (FDs) high-temperature superconducting (HTS) coil Influence factors Superconducting magnetic energy storage (SMES) volume energy storage density /dk/atira/pure/subjectarea/asjc/2500/2504 name=Electronic, Optical and Magnetic Materials /dk/atira/pure/subjectarea/asjc/3100/3104 name=Condensed Matter Physics /dk/atira/pure/subjectarea/asjc/2200/2208 name=Electrical and Electronic Engineering
High-quality depth up-sampling via a supervised classification guided MRF model
In this paper, a Supervised Classification assisted Markov Random Field (SC-MRF) model is proposed for generating high-quality up-sampled depth maps. The proposed model aims to reduce depth bleeding and depth confusion...
Gradient descent algorithm k-Means clustering K-NN Markov random fields Supervised classification /dk/atira/pure/subjectarea/asjc/1700/1712 name=Software /dk/atira/pure/subjectarea/asjc/1700/1711 name=Signal Processing /dk/atira/pure/subjectarea/asjc/1700/1707 name=Computer Vision and Pattern Recognition /dk/atira/pure/subjectarea/asjc/1700/1702 name=Artificial Intelligence
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