Sökning: "Convolutional Neural Network"
Visar resultat 1 - 5 av 401 uppsatser innehållade orden Convolutional Neural Network.
1. Convolutional neural networks for semantic segmentation of FIB-SEM volumetric image data
Master-uppsats, Göteborgs universitet/Institutionen för matematiska vetenskaperSammanfattning : Focused ion beam scanning electron microscopy (FIB-SEM) is a well-established microscopytechnique for 3D imaging of porous materials. We investigate three poroussamples of ethyl cellulose microporous films made from ethyl cellulose and hydroxypropylcellulose (EC/HPC) polymer blends. LÄS MER
2. Applying machine learning to detect structural faults in microscopic images of inserts
Uppsats för yrkesexamina på avancerad nivå, Uppsala universitet/Institutionen för informationsteknologiSammanfattning : Today the quality control of inserts at Sandvik is done manually by looking at their crosssections through a microscope. The purpose of this project was to automate the quality control of inserts by exploring machine Learning technique to automatically detect structural faults in microscopic images of the insert. LÄS MER
3. Training a Neural Network using Synthetically Generated Data
Kandidat-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS); KTH/Skolan för elektroteknik och datavetenskap (EECS)Sammanfattning : A major challenge in training machine learning models is the gathering and labeling of a sufficiently large training data set. A common solution is the use of synthetically generated data set to expand or replace a real data set. LÄS MER
4. Sequence classification on gamified behavior data from a learning management system : Predicting student outcome using neural networks and Markov chain
Master-uppsats, Högskolan i Skövde/Institutionen för informationsteknologiSammanfattning : This study has investigated whether it is possible to classify time series data originating from a gamified learning management system. By using the school data provided by the gamification company Insert Coin AB, the aim was to distribute the teacher’s supervision more efficiently among students who are more likely to fail. LÄS MER
5. Evaluation of text classification techniques for log file classification
Master-uppsats, Linköpings universitet/Institutionen för datavetenskapSammanfattning : System log files are filled with logged events, status codes, and other messages. By analyzing the log files, the systems current state can be determined, and find out if something during its execution went wrong. LÄS MER
