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Visar resultat 1 - 5 av 52 uppsatser som matchar ovanstående sökkriterier.
1. Unified Modeling Language(UML) generation from userrequirements in naturallanguage
Master-uppsats, Uppsala universitet/Institutionen för informationsteknologiSammanfattning : A significant challenge in software engineering is the process of translating natural language requirements into Unified Modeling Language (UML) diagrams. This thesis delves into the methodologies and approaches involved in the automated derivation of UML diagrams from textual requirements. LÄS MER
2. Evaluating the Viability of Synthetic Pre-training Data for Face Recognition Using a CNN-Based Multiclass Classifier
Kandidat-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)Sammanfattning : Today, face recognition is becoming increasingly accurate and faster with deep learning methods such as convolutional neural networks (CNNs), and is now widely used in areas such as security and entertainment. Typically, these CNNs are trained using real-face datasets like CASIA-WebFace, which was put together using web-crawling of IMDB. LÄS MER
3. Towards a feedback system for upper body bodyweight exercises using multiple inertial measurement units : A user-centred approach
Master-uppsats, KTH/Medicinteknik och hälsosystemSammanfattning : This thesis explores the feasibility of developing an affordable and easy-to-use feed- back system that leverages information from multiple inertial measurement units (IMUs) to identify mistakes during upper body bodyweight training and provide real-time feedback to the user. To develop the system, a human-centered approach was used, which involved conducting semi-structured interviews with movement ex- perts and a workshop with targeted end-users to understand their needs. LÄS MER
4. Adversarial Machine (Deep) Learning-basedRobustification in 5G Networks
Master-uppsats, Luleå tekniska universitet/Institutionen för system- och rymdteknikSammanfattning : A significant development in wireless communication and artificial intelligence has been made possible by the combination of 5G networks with deep learning methods. This paper explores the complex interactions between these areas, concentrating on the dangers that adversarial attacks represent in the context of 5G network slicing. LÄS MER
5. Multiclass Brain Tumour Tissue Classification on Histopathology Images Using Vision Transformers
Master-uppsats, Linköpings universitet/Statistik och maskininlärningSammanfattning : Histopathology refers to inspecting and analysing tissue samples under a microscope to identify and examine signs of diseases. The manual investigation procedure of histology slides by pathologists is time-consuming and susceptible to misconceptions. LÄS MER