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Modeling of Motorized Orthosis Control
(MDPI, 2019-06-15)
Orthotic devices are defined as externally applied devices that are used to modify the structural and functional characteristics of the neuro-muscular and skeletal systems. The aim of the current study is to improve the ...
Numerical Modeling of the Spread of Cough Saliva Droplets in a Calm Confined Space
(MDPI, 2021-03-08)
The coronavirus disease 2019 (COVID-19) outbreak has altered the lives of everyone on a global scale due to its high transmission rate. In the current work, the droplet dispersion and evaporation originated by a cough at ...
Testing the Accuracy of the Cell-Set Model Applied on Vane-Type Sub-Boundary Layer Vortex Generators
(MDPI, 2021-03-11)
Vortex Generators (VGs) are applied before the expected region of separation of the boundary layer in order to delay or remove the flow separation. Although their height is usually similar to that of the boundary layer, ...
A New Loss Function for Simultaneous Object Localization and Classification
(MDPI, 2023-03-01)
Robots play a pivotal role in the manufacturing industry. This has led to the development of computer vision. Since AlexNet won ILSVRC, convolutional neural networks (CNNs) have achieved state-of-the-art status in this ...
A Study of Learning Issues in Feedforward Neural Networks
(MDPI, 2022-09-05)
When training a feedforward stochastic gradient descendent trained neural network, there is a possibility of not learning a batch of patterns correctly that causes the network to fail in the predictions in the areas adjacent ...
Numerical modeling of a sneeze, a cough and a continuum speech inside a hospital lift
(Elsevier, 2023-02)
The global COVID-19 and its variants put us on notice of the importance of studying the spread of respiratory diseases. The most common means of propagation was the emission of droplets due to different respiration activities. ...
Stability Analysis for Autonomous Vehicle Navigation Trained over Deep Deterministic Policy Gradient
(MDPI, 2022-12-27)
The Deep Deterministic Policy Gradient (DDPG) algorithm is a reinforcement learning algorithm that combines Q-learning with a policy. Nevertheless, this algorithm generates failures that are not well understood. Rather ...
Modification of Learning Ratio and Drop-Out for Stochastic Gradient Descendant Algorithm
(MDPI, 2023-02-28)
The stochastic gradient descendant algorithm is one of the most popular neural network training algorithms. Many authors have contributed to modifying or adapting its shape and parametrizations in order to improve its ...
Dynamical Analysis of a Navigation Algorithm
(MDPI, 2021-12-02)
There is presently a need for more robust navigation algorithms for autonomous industrial vehicles. These have reasonably guaranteed the adequate reliability of the navigation. In the current work, the stability of a ...
Cell-Set Modelling for a Microtab Implementation on a DU91W(2)250 Airfoil
(MDPI, 2020-12-20)
Microtabs (MTs) are a regularly used flow control device in terms of wind turbine optimization. The present study introduces the application of the novel cell-set model for an MT implementation on a DU91W(2)250 airfoil. ...