Sökning: "Artificial Neural Network"

Visar resultat 21 - 25 av 631 uppsatser innehållade orden Artificial Neural Network.

1. 21. Automatic quality assessment of formed fiber products via Computer Vision and Artificial Intelligence

   Uppsats för yrkesexamina på grundnivå, Högskolan i Halmstad/Akademin för informationsteknologi

   Författare :Jesper Sköld; [2023]
   Nyckelord :Artificial intelligence; Deep learning; CNN; YOLO; Computer Vision; Fiber products; Machine learning; Neural network;

   Sammanfattning : Defects on fiber products have varied appearances and are common in production lines. A reliable system that can classify and identify defects without subjectivity and fatigue can improve a company's quality management. Computer vision systems are crucial for any autonomous system, but accuracy is essential for real-life applications. LÄS MER

3. 22. Probability of Default Machine Learning Modeling : A Stress Testing Evaluation

   Uppsats för yrkesexamina på avancerad nivå, Umeå universitet/Institutionen för matematik och matematisk statistik

   Författare :Tobias Andersson; Mattias Mentes; [2023]
   Nyckelord :Probability of Default; Machine Learning; Stress Testing; Logistic Regression; Decision Tree; Random Forest; Artificial Neural Network;

   Sammanfattning : This thesis aims to assist in the development of machine learning models tailored for stress testing. The main objective is to create models that can predict loan defaults while considering the impact of macroeconomic stress. LÄS MER

4. 23. Learning features for extrinsic camera calibration of wide-angle cameras

   Master-uppsats, Linköpings universitet/Institutionen för systemteknik

   Författare :Albin Holmkvist; Max Björkander; [2023]
   Nyckelord :Computer vision; camera calibration; machine learning; artificial intelligence; wireframes;

   Sammanfattning : This thesis attempts to solve the problem of estimating the extrinsic camera parameters (pitch and roll) from a wide-angle view image. The first contributionis a data generation pipeline capable of producing wide-angle distorted images with rotation and line segment annotations. LÄS MER

5. 24. Accuracy and Robustness of State of the Art Deepfake Detection Models

   Kandidat-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)

   Författare :Tobias Carlsson; Oskar Strömberg; [2023]
   Nyckelord :;

   Sammanfattning : With the evolution of artificial intelligence a lot of people have started getting worried about the potential dangers of deepfake images and videos, such as spreading fake videos of influential people. Several solutions to this problem have been proposed with some of the most efficient being convolutional neural networks for face detection in order to differentiate real images from deepfake images generated with a generative adversarial network. LÄS MER

7. 25. Low-power Implementation of Neural Network Extension for RISC-V CPU

   Master-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)

   Författare :Dario Lo Presti Costantino; [2023]
   Nyckelord :Artificial intelligence; Deep learning; Neural networks; Edge computing; Convolutional neural networks; Low-power electronics; RISC-V; AI accelerators; Parallel processing; Artificiell intelligens; Deep learning; Neurala nätverk; Edge computing; konvolutionella neurala nätverk; Lågeffektelektronik; RISC-V; AI-acceleratorer; Parallell bearbetning;

   Sammanfattning : Deep Learning and Neural Networks have been studied and developed for many years as of today, but there is still a great need of research on this field, because the industry needs are rapidly changing. The new challenge in this field is called edge inference and it is the deployment of Deep Learning on small, simple and cheap devices, such as low-power microcontrollers. LÄS MER