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Human impedance parameter estimation using artificial neural network for modelling physiotherapist motion
(Elsevier, 2016)
Physiotherapy (physical therapy) is a form of therapy aimed at regaining patients their bodily limb motor functions. The use of what are called therapeutic exercise robots for such purposes is gradually increasing. Therapeutic ...
A comparative study on appliance recognition with power parameters by using machine learning algorithms
(2021)
Recently, machine Learning algorithms are widely used in many fields. Especially, they are reallygood to create prediction models for problems which are not easy to solve with conventionalprogramming techniques. Although, ...
A channel selection method for epilepsy seizure prediction
(Institute of Electrical and Electronics Engineers Inc., 2021)
The development of systems that can predict epilepsy seizures in real time offers great hope for epilepsy patients. These systems aim to prevent accidents that patients may experience due to loss of consciousness during ...
Human impedance parameter estimation using artificial neural network for modelling physiotherapist motion.
(2016)
Physiotherapy (physical therapy) is a form of therapy aimed at regaining patients their bodily limb motor functions. The use of what are called therapeutic exercise robots for such purposes is gradually increasing. ...
Real Time Bicycle Robot Balance Control Using Machine Learning
(Unitech, 2020-12)
Classic control systems leave the place to artificial intelligence control systems. In this study, an exemplary system is realized. In this study, the balance control of a two-wheel bicycle system was carried out. The ...
Understanding the concept of microcontroller based systems to choose the best hardware for applications.
(2017)
Today’s technology has been evolved into stand-alone systems which can do all necessary process by itself without any additional hardware. Advance microcontrollers have become microcomputers that is also known as single ...
An Embedded System Design to Build Real-Time 2D Maps for Unknown Indoor Environments
(2019)
This paper presents a remotely controllable, differentially driven wheeled mobile robot development inorder to build 2D maps for unknown indoor environments. This system would eliminate the need to preexploresuch environments. ...
A study of wet deposition flux using a sequential sampling technique
(2011)
The influence of washout scavenging on the removal processes of SO4 2-, NO3 - and Cl- ions were investigated using sequential rain sampling. For this purpose this study investigates the variation of these ions in precipitation ...
Comparison of Classification Algorithms for Detecting Patient Posture in Expandable Tumor Prostheses
(Univ Suceava, Fac Electrical Eng, 2020)
Autonomous tumor prostheses are extended without the need of a clinic and of a medical supervision. It is necessary to make sure that the patient is not standing before extending these prostheses. This study aims to determine ...
Analyzing the wet and bulk deposition with receptor models in Kirklareli, Turkey
(Springer, 2021)
This study presents the wet deposition and bulk deposition of major ions in Kirklareli (Turkey). In the samples of wet deposition and bulk deposition, concentrations of major cations (Na+, Mg2+, Ca2+, K+, NH4+) and major ...