Sökning: "Learning Classifier System"

Visar resultat 21 - 25 av 112 uppsatser innehållade orden Learning Classifier System.

1. 21. Predictive Maintenance of Induction Motors using Deep Learning : Anomaly Detection using an Autoencoder Neural Network and Fault Classification using a Convolutional Neural Network

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

   Författare :Diego Andres Moreno Salinas; [2022]
   Nyckelord :Predictive maintenance; Fault Diagnosis; Anomaly Detection; Deep Learning; Machine Learning; Induction Motors; Prediktivt underhåll; feldiagnostik; upptäckt av avvikelser; djup inlärning; maskininlärning; induktionsmotorer;

   Sammanfattning : With the fast evolution of the Industry 4.0, the increased use of sensors and the rapid development of the Internet of Things (IoT), and the adoption of artificial intelligence methods, smart factories can automate their processes to vastly improve their efficiency and production quality. LÄS MER

3. 22. A Smart Surveillance System Using Edge-Devices for Wildlife Preservation in Animal Sanctuaries

   Master-uppsats, Linköpings universitet/Reglerteknik

   Författare :Johan Linder; Oscar Olsson; [2022]
   Nyckelord :Computer Vision; Edge devices; object detection; animal detection; animal preservation; microcontroller; camera trap; deep learning; esp32; transfer learning; smart surveillance system;

   Sammanfattning : The Internet of Things is a constantly developing field. With advancements of algorithms for object detection and classification for images and videos, the possibilities of what can be made with small and cost efficient edge-devices are increasing. LÄS MER

4. 23. A comparison between fully-supervised and self-supervised deep learning methods for tumour classification in digital pathology data

   Uppsats för yrkesexamina på avancerad nivå, Luleå tekniska universitet/Institutionen för system- och rymdteknik

   Författare :Elsa Jonsson; [2022]
   Nyckelord :AI; machine learning; digital pathology data; binary tumour classification;

   Sammanfattning : Whole Slide Images (WSIs) are digital scans containing rich pathology information. There are many available WSI datasets that can be used for a wide range of purposes such as diagnostic tasks and analysis, but the availability of labeled WSI datasets is very limited since the annotation process is both very costly and time consuming. LÄS MER

5. 24. A model for predicting the win propensity of new B2B opportunities across multiple companies

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

   Författare :Simon Persson; [2022]
   Nyckelord :CRM; B2B; Win propensity prediction; Sales; Supervised Learning; Machine Learning; CRM; B2B; Förutsägelse av affärsmöjligheter; Försäljning; Väglett lärande; Maskininlärning;

   Sammanfattning : For a sales representative, a complex part of their work is determining the outcome of a potential deal with a customer. Most (if not all) processes today are based on guesses and gut feelings, making it hard to track progress. LÄS MER

7. 25. Classification Models for Activity Recognition using Smart Phone Accelerometers

   Magister-uppsats, Umeå universitet/Statistik

   Författare :Biswas Kumar; [2022]
   Nyckelord :;

   Sammanfattning : The huge amount of data generated by accelerometers in smartphones creates new opportunities for useful data mining applications. Machine Learning algorithms can be effectively used for tasks such as the classification and clustering of physical activity patterns. LÄS MER