Sökning: "CNN"
Visar resultat 21 - 25 av 709 uppsatser innehållade ordet CNN.
21. A deep learning approach for drilling tool condition monitoring in Raiseboring
Master-uppsats, Uppsala universitet/Institutionen för informationsteknologiSammanfattning : Drilling tool wear can significantly affect the performance of the drilling operation and add extra cost to it. Accurate detection of drilling tool condition is very important for enabling proactive maintenance, minimizing downtime, and optimizing drilling processes. LÄS MER
22. Categorization of Historical Photographs using Convolutional Neural Networks
Master-uppsats, Uppsala universitet/Institutionen för informationsteknologiSammanfattning : The goal of this project is to explore the possibilities of using Convolutional Neural Networks (CNN) on historical photographs taken in Sweden to determine a feasible way of automatically detecting the studio that the photograph was taken in. Photographs supplied by The City Faces Project were used for this purpose. LÄS MER
23. ISAR Imaging Enhancement Without High-Resolution Ground Truth
Master-uppsats, Linköpings universitet/DatorseendeSammanfattning : In synthetic aperture radar (SAR) and inverse synthetic aperture radar (ISAR), an imaging radar emits electromagnetic waves of varying frequencies towards a target and the backscattered waves are collected. By either moving the radar antenna or rotating the target and combining the collected waves, a much longer synthetic aperture can be created. LÄS MER
24. “Farmers need illegal immigrants ‘to pick the crops’” : Examining News Values on immigration Discourse in CNN and Fox News
Kandidat-uppsats, Stockholms universitet/Engelska institutionenSammanfattning : Media outlets play a pivotal role in the shaping of society's perception on different matters. The research of this thesis consists of 20 articles in total from two of the larger media outlets in the US, CNN and Fox News. Each dataset contains 10 articles consisting of 5269 words, for the former, and 4516 words, for the latter. LÄS MER
25. 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