Essays about: "Lokesh"
Showing result 1 - 5 of 10 essays containing the word Lokesh.
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1. Lateral Control of Heavy Vehicles
University essay from KTH/Väg- och spårfordon samt konceptuell fordonsdesignAbstract : The automotive industry has been involved in making vehicles autonomous to different levels in the past decade rapidly. Particularly in the commercial vehicle market, there is a significant necessity to make trucks have a certain level of automation to help reduce dependence on human efforts to drive. READ MORE
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2. Vulnerability Management of Open-Source Libraries
University essay from Blekinge Tekniska Högskola/Institutionen för programvaruteknikAbstract : Background: The proliferation of using open-source libraries in software development has brought numerous benefits, including access to a wide range of reusable code and collaborating with a global community of developers. However, this increased reliance on third-party code also introduces new security risks in the form of vulnerabilities that malicious actors can exploit. READ MORE
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3. Exploring Machine Learning Techniques and Metric Feature Pairs for Software Defects Prediction
University essay from Blekinge Tekniska Högskola/Institutionen för datavetenskapAbstract : .... READ MORE
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4. CFD simulation of gas turbine ventilation and gas dilution
University essay from Linköpings universitet/Mekanisk värmeteori och strömningsläraAbstract : Gas turbine engines are one of the primary sources of electricity currently in the world. The assembly consists of multiple subsystems all of which are placed within an acoustic enclosure. Dilution ventilation is a widely used and recommended means of protection against the risk of explosion within gas turbine acoustic enclosures. READ MORE
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5. Facial Emotion Recognition using Convolutional Neural Network with Multiclass Classification and Bayesian Optimization for Hyper Parameter Tuning.
University essay from Blekinge Tekniska Högskola/Institutionen för datavetenskapAbstract : The thesis aims to develop a deep learning model for facial emotion recognition using Convolutional Neural Network algorithm and Multiclass Classification along with Hyper-parameter tuning using Bayesian Optimization to improve the performance of the model. The developed model recognizes seven basic emotions in images of human beings such as fear, happy, surprise, sad, neutral, disgust and angry using FER-2013 dataset. READ MORE