首页|Researchers from Birla Institute of Technology-Mesra Detail New Studies and Find ings in the Area of Support Vector Machines (Design of an Apodized Fiber Bragg G rating Sensor for Sensitivity Analysis of Physical Parameters Using Support Vect or ...)
Researchers from Birla Institute of Technology-Mesra Detail New Studies and Find ings in the Area of Support Vector Machines (Design of an Apodized Fiber Bragg G rating Sensor for Sensitivity Analysis of Physical Parameters Using Support Vect or ...)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News-Research findings on Support Vector Ma chines are discussed in a new report. According to news reporting originating fr om Jharkhand,India,by NewsRx correspondents,research stated,"Fiber Bragg gra tings (FBGs) are among the most utilized fiber optic sensors due to their high s ensitivity toward physical parameters,which makes them preferable for various s ensing applications. In this theoretical research work,an apodized FBG is desig ned to eliminate the side lobes from the reflectivity spectrum for the sensitivi ty estimation of physical parameters including temperature,strain,and pressure ." Financial support for this research came from Department of Electronics and Comm unication Engineering (ECE). Our news editors obtained a quote from the research from the Birla Institute of Technology-Mesra,"Bragg wavelength changes due to the effects of measurands as FBG works on the principle of Bragg wavelength shift. The sensitivity of the mea surand is measured by analyzing the changes that occur in the Bragg wavelength d ue to the impact of measurands. A strong linearity has been obtained for the sen sitivity measurement of temperature,strain,and pressure for the designed apodi zed FBG. The Support vector machine (SVM),a supervised machine learning (ML) mo del,is implemented with different kernel functions for the predictive analysis of physical parameters for the credibility of the designed apodized FBG sensor t o achieve improved sensing outcomes,particularly to work in a hazardous environ ment in case of any adverse scenario of any physical parameter."
JharkhandIndiaAsiaEmerging Technol ogiesMachine LearningSupport Vector MachinesVector MachinesBirla Institu te of Technology-Mesra