Hybrid Deep Learning Enabled Load Prediction for Energy Storage Systems
(16)
(13)
Publication Date
Fri Jan 01 2021
Journal Name
Ieee Access
(23)
(20)
Publication Date
Sat Oct 01 2016
Journal Name
2016 Ieee Nuclear Science Symposium, Medical Imaging Conference And Room-temperature Semiconductor Detector Workshop (nss/mic/rtsd)
(1)
(1)
Publication Date
Mon Dec 07 2020
Journal Name
The International Journal Of Artificial Organs
Improved hand prostheses control for transradial amputees based on hybrid of voice recognition and electromyography
The control of prostheses and their complexities is one of the greatest challenges limiting wide amputees’ use of upper limb prostheses. The main challenges include the difficulty of extracting signals for controlling the prostheses, limited number of degrees of freedom (DoF), and cost-prohibitive for complex controlling systems. In this study, a real-time hybrid control system, based on electromyography (EMG) and voice commands (VC) is designed to render the prosthesis more dexterous with the ability to accomplish amputee’s daily activities proficiently. The voice and EMG systems were combined in three proposed hybrid strategies, each strategy had different number of movements depending on the combination protocol between voic
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(5)
(6)
Publication Date
Wed Feb 01 2023
Journal Name
Optik
(24)
(24)
Publication Date
Wed Jan 01 2025
Journal Name
Biomaterials Science
Publication Date
Sat Feb 01 2020
Journal Name
Journal Of Economics And Administrative Sciences
Applying some hybrid models for modeling bivariate time series assuming different distributions for random error with a practical application
أنمُوذج
أنمُوذج
التوزيع الطبيعي القياسي
توزيع
توزع الخطأ العام
سعر الصرف
معدل البطالـة.
: Bivariate time series ARMAX-GARCH
ARMAX-GARCHX
Normal distribution
Student-t distribution
General Error distribution (GED)
Unemployment rate
Exchange rate.
Abstract
Bivariate time series modeling and forecasting have become a promising field of applied studies in recent times. For this purpose, the Linear Autoregressive Moving Average with exogenous variable ARMAX model is the most widely used technique over the past few years in modeling and forecasting this type of data. The most important assumptions of this model are linearity and homogenous for random error variance of the appropriate model. In practice, these two assumptions are often violated, so the Generalized Autoregressive Conditional Heteroscedasticity (ARCH) and (GARCH) with exogenous varia
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Publication Date
Sun Jan 01 2023
Journal Name
Ssrn Electronic Journal
Sustainable ENERGY by using AI
Sustainable
Energy
Solar
AI
Development
Power plants
Solutions
As we live in the era of the fourth technological revolution, it has become necessary to use artificial intelligence to generate electric power through sustainable solar energy, especially in Iraq and what it has gone through in terms of crises and what it suffers from a severe shortage of electric power because of the wars and calamities it went through. During that period of time, its impact is still evident in all aspects of daily life experienced by Iraqis because of the remnants of wars, siege, terrorism, wrong policies ruling before and later, regional interventions and their consequences, such as the destruction of electric power stations and the population increase, which must be followed by an increase in electric power stations,
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Publication Date
Sat Jan 01 2022
Journal Name
Geotechnical Engineering And Sustainable Construction Pp 545-555
(1)
(2)
Publication Date
Sat Jan 01 2022
Journal Name
Geotechnical Engineering And Sustainable Construction
(1)
Publication Date
Fri Mar 04 2022
Journal Name
International Journal Of Research In Social Sciences & Humanities