Results 21 to 30 of about 1,892,513 (283)
Developing Novel Robust Loss Functions-Based Classification Layers for DLLSTM Neural Networks
IEEE Access, 2023 In this paper, we suggest improving the performance of developed activation function-based Deep Learning Long Short-Term Memory (DLLSTM) structures by employing robust loss functions like Mean Absolute Error $(MAE)$ and Sum Squared Error $(SSE)$ to ...
Mohamad Abou Houran +5 more
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Forecasting wind speed data by using a combination of ARIMA model with single exponential smoothing [PDF]
, 2021 Wind serves as natural resources as the solution to minimize global warming and has been commonly used to produce electricity. Because of their uncontrollable wind characteristics, wind speed forecasting is considered one of the best challenges in ...
A. Rahman, Nur H. +5 more
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Indian Journal of Ophthalmology, 2022 This review article attempts to evaluate the accuracy of intraocular lens power calculation formulae in short eyes. A thorough literature search of PubMed, Embase, Cochrane Library, Science Direct, Scopus, and Web of Science databases was conducted for ...
Ankur K Shrivastava +4 more
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Automated and Optimized Regression Model for UWB Antenna Design
Journal of Sensor and Actuator Networks, 2023 Antenna design involves continuously optimizing antenna parameters to meet the desired requirements. Since the process is manual, laborious, and time-consuming, a surrogate model based on machine learning provides an effective solution.
Sameena Pathan +3 more
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Forecasting the Beef Meat Prices in Erbil Using Box-Jenkins Models
Eurasian 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
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Forecasting with Competing Models of Daily Bitcoin Price in R [PDF]
Journal 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
JOIV: 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
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JOIV: International Journal on Informatics Visualization, 2020 — After being introduced in 2008, the rise in the price of bitcoin and the popularity of other cryptocurrencies triggered a growing discussion about how much energy was consumed during the production of this currency.
Febri Liantoni, Arif Agusti
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A symptotic Bias for GMM and GEL Estimators with Estimated Nuisance Parameter [PDF]
, 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
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