Essays about: "important OF COMPUTER IN ENGINEERING"
Showing result 1 - 5 of 137 essays containing the words important OF COMPUTER IN ENGINEERING.
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1. Data Augmentation for Object Detection using Deep Reinforcement Learning
University essay from Lunds universitet/Institutionen för reglerteknikAbstract : Data augmentation is a concept which is used to improve machine learning models for computer vision tasks. It is usually done by firstly, defining a set of functions which transforms images and secondly, applying a random selection of these functions on the images. READ MORE
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2. Challenges in Specifying Safety-Critical Systems with AI-Components
University essay from Göteborgs universitet/Institutionen för data- och informationsteknikAbstract : Safety is an important feature in automotive industry. Safety critical system such as Advanced Driver Assistance System (ADAS) and Autonomous Driving (AD) follows certain processes and procedures in order to perform the desired function safely. READ MORE
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3. Modelling Micropollutant Removal Through Ozonation in Wastewater
University essay from Lunds universitet/Kemiteknik (CI)Abstract : Proper management of water resources is a key to climate change adaptation and resilience in modern societies. Adequate treatment of wastewater is essential for ensuring the sustainability of the water cycle and the health of the environment and the ecosystems that inhabit it. READ MORE
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4. Sustainable Product Development Through Integrated Life Cycle Assessment and Computer Aided Design : An Exploratory Study of Life Cycle Assessment (LCA)
University essay from Karlstads universitetAbstract : The purpose of this paper was to investigate the integration between Life Cycle Assessment (LCA) and Computer-Aided Design (CAD). The project has been carried out as a degree project at Karlstad University in the spring of 2023 on behalf of the company TECHNIA. The project was a master's thesis of 22. READ MORE
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5. Identification of Fibers in Micro-CT Images of Paperboard Using Deep Learning
University essay from Lunds universitet/Hållfasthetslära; Lunds universitet/Institutionen för byggvetenskaperAbstract : This master thesis project explores the possibility of using deep learning to segment individual fibers in three-dimensional tomography images of paperboard fiber networks. We test a method which has previously been used to segment fibers in images of glass fiber reinforced polymers. READ MORE