The finite element method (FEM) is an essential method for predicting the response of the spar platform considering all nonlinear variables.Although FEM is an extremely laborious and time-consuming process for predicting platform responses Wallets using hydrodynamic loads, artificial neural networks (ANNs) can predict the response quickly, as requi
Space-fed Array Variations of E-shape and U-slot cut Rectangular Microstrip Antennas using Modified Feed for Gain Enhancement
Abstract Space-fed array comprising of E-shape or U-slot cut rectangular microstrip antennas using the Digital Portion Scales modified feed designs are proposed for higher gain and wider bandwidth.Modified feed optimally illuminates the edge space-fed elements to achieve a maximum gain.Amongst the two space-fed array variations, 7 x 7 E-shape space
Antibacterial activity of chitosan and its combination with other irrigants on Enterococcus faecalis: An in vitro study
Objective: The aim of the in vitro study was to compare the antibacterial efficacy of sodium hypochlorite (NaOCl), chlorhexidine (CHX), chitosan and their combinations in vitro.Materials and Methods: A total of 60 extracted single-rooted teeth were selected and used for the study.After L-Ornithine the access cavity preparation and working length de
Comparative Analysis among Discrete Fourier Transform, K-Means and Artificial Neural Networks Image Processing Techniques Oriented on Quality Control of Assembled Tires
The present paper discusses a comparative In Print application of image processing techniques, i.e., Discrete Fourier Transform, K-Means clustering and Artificial Neural Network, for the detection of defects in the industrial context of assembled tires.The used Artificial Neural Network technique is based on Long Short-Term Memory and Fully Connect