Sökning: "fully connected networks"
Visar resultat 1 - 5 av 54 uppsatser innehållade orden fully connected networks.
1. 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
2. USING ARTIFICIAL NETWORKS IN COMPLEX PROBLEMS ANALYSING PARAMETERS INFLUENCE
Kandidat-uppsats, Mälardalens universitet/Akademin för innovation, design och teknikSammanfattning : Mathematical statistical models are insufficient for describing complex phenomena. In contrast, Artificial Neural Networks (ANNs), have been used across various complex problem domains for solving problems. ANNs can learn complex patterns and capture non-linear relationships between parameters. LÄS MER
3. Machine Learning-based MIMO Indoor Positioning
Master-uppsats, Lunds universitet/Institutionen för elektro- och informationsteknikSammanfattning : The most widely used positioning system is Global Navigation Satellite System (GNSS), which uses traditional positioning techniques and cannot achieve satisfactory positioning performance in indoor scenarios due to Non-Line-of-Sight (NLoS) transmission. Fingerprinting is a non-traditional positioning technique that is robust to NLoS transmission in indoor scenarios. LÄS MER
4. Mesh networking in underground mine environments : Exploring security requirements in relation to the performance of mesh networks
Kandidat-uppsats, Luleå tekniska universitet/Institutionen för system- och rymdteknikSammanfattning : This study investigates the possibilities of using mesh networking in underground mines. It is of utmost importance to investigate the safety and ethical aspects of implementing new systems in mines, namely mesh networking. LÄS MER
5. Comprehensive Study of Brain Age Prediction using Classical Machine Learning and Neural Networks
Master-uppsats, Uppsala universitet/Institutionen för informationsteknologiSammanfattning : The biological age of the human brain is an important biomarker in inspecting and maintaining the health of an individual. The brain age provides insights into an individual’s brain health due to genetics, environment, and lifestyle. LÄS MER