Results 31 to 40 of about 2,392,377 (346)

Forecasting of water intake and supply in water plant in Johor [PDF]

open access: yes, 2021
The safety and availability of water are important for public health, domestic use, food, and drink production process. Since water is essential in daily life, the demand for water intake and water supply are increasing. Moreover, it must be ensured that
Azli, Nor Amiratun Najwa   +2 more
core   +1 more source

Forecasting the Beef Meat Prices in Erbil Using Box-Jenkins Models

open access: yesEurasian Journal of Management & Social Sciences, 2020
Foodstuff has a crucial role for everybody life in the world. In Iraq, beef meat is one of the important parts of the food basket of every household in Erbil.
Feink Mohammed Omer, Wasfi Tahir Salih
doaj   +1 more source

Analyzing Upper Bounds on Mean Absolute Errors for Deep Neural Network-Based Vector-to-Vector Regression [PDF]

open access: yesIEEE Transactions on Signal Processing, 2020
In this paper, we show that, in vector-to-vector regression utilizing deep neural networks (DNNs), a generalized loss of mean absolute error (MAE) between the predicted and expected feature vectors is upper bounded by the sum of an approximation error ...
Jun Qi   +4 more
semanticscholar   +1 more source

A symptotic Bias for GMM and GEL Estimators with Estimated Nuisance Parameter [PDF]

open access: yes, 2003
This papers studies and compares the asymptotic bias of GMM and generalized empirical likelihood (GEL) estimators in the presence of estimated nuisance parameters.
Newey, Whitney K.   +2 more
core   +1 more source

Forecasting with Competing Models of Daily Bitcoin Price in R [PDF]

open access: yesJournal of Studies in Social Sciences and Humanities, 2022
Bitcoin price exhibits patterns predictable on its historical pasts. We adopt ARIMA(auto), ARIMA(fix)models and the Holt-Winters filter (HWF) with trend plus additive seasonal HWF (𝛾[0,1]), and no seasonality HWF (𝛾[False]) to forecast the price of ...
Oluwatobi A. Adekunle   +2 more
doaj  

A Prediction Model of Power Consumption in Smart City Using Hybrid Deep Learning Algorithm

open access: yesJOIV: International Journal on Informatics Visualization, 2023
A smart city utilizes vast data collected through electronic methods, such as sensors and cameras, to improve daily life by managing resources and providing services. Moving towards a smart grid is a step in realizing this concept.
Salam Abdulkhaleq Noaman   +2 more
doaj   +1 more source

Analysis of time series for Malaysian currency exchange rate to the United States currency [PDF]

open access: yes, 2021
Currency exchange rate is one of the external factors that will affect the financial status of Malaysia. Therefore, forecasting the foreign currency exchange rate is important for the financial decision makers, bankers, academic researchers and business ...
Che Him, Norziha   +4 more
core   +1 more source

Load Forecasting Techniques for Power System: Research Challenges and Survey

open access: yesIEEE Access, 2022
The main and pivot part of electric companies is the load forecasting. Decision-makers and think tank of power sectors should forecast the future need of electricity with large accuracy and small error to give uninterrupted and free of load shedding ...
Naqash Ahmad   +3 more
doaj   +1 more source

Tibial acceleration-based prediction of maximal vertical loading rate during overground running : a machine learning approach [PDF]

open access: yes, 2020
Ground reaction forces are often used by sport scientists and clinicians to analyze the mechanical risk-factors of running related injuries or athletic performance during a running analysis.
Davis, Jesse   +6 more
core   +1 more source

Multimedia courseware: Never mind the quality how much will it cost to develop? [PDF]

open access: yes, 1995
This paper evaluates multimedia courseware costing techniques such as the US Airforce Interactive Courseware Method (Golas, 1993), CBT Analyst (Kearsley, 1985), CEAC (Schooley, 1988) and MEEM (Marshall, Samson, Dugard, & Scott, 1994) against the data ...
Dugard, P. I.   +2 more
core   +3 more sources

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