Sökning: "support vector machine"
Visar resultat 16 - 20 av 596 uppsatser innehållade orden support vector machine.
16. Plant yield prediction in indoor farming using machine learning
Magister-uppsats, Högskolan i Skövde/Institutionen för informationsteknologiSammanfattning : Agricultural industry has started to rely more on data driven approaches to improve productivity and utilize their resources effectively. This thesis project was carried out in collaboration with Ljusgårda AB, it explores plant yield prediction using machine learning models and hyperparameter tweaking. LÄS MER
17. Performance Benchmarking and Cost Analysis of Machine Learning Techniques : An Investigation into Traditional and State-Of-The-Art Models in Business Operations
Kandidat-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)Sammanfattning : Eftersom samhället blir allt mer datadrivet revolutionerar användningen av AI och maskininlärning sättet företag fungerar och utvecklas på. Denna studie utforskar användningen av AI, Big Data och Natural Language Processing (NLP) för att förbättra affärsverksamhet och intelligens i företag. LÄS MER
18. Gait analysis using machine learning : An implementation of temporal convolution networks on gait events and gait phase
Kandidat-uppsats, KTH/Skolan för teknikvetenskap (SCI)Sammanfattning : This thesis aims to explore the implementation of a temporal convolution network (TCN)on gait event detection and gait phase detection. The performance of the model is eval-uated based on whether the task is gait event detection or gait phase detection. LÄS MER
19. Performance comparison of data mining algorithms for imbalanced and high-dimensional data
Master-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)Sammanfattning : Artificial intelligence techniques, such as artificial neural networks, random forests, or support vector machines, have been used to address a variety of problems in numerous industries. However, in many cases, models have to deal with issues such as imbalanced data or high multi-dimensionality. LÄS MER
20. Industrial Machine Monitoring: Real-Time Anomalous Sound Event Detection on Low-Powered Devices
Master-uppsats, Lunds universitet/Matematisk statistikSammanfattning : Traditionally fault detection in industrial machinery has been performed manually by experienced machine operators listening to the machines. However, it is desirable to automate this process to increase efficiency and improve the working environment of the operators. LÄS MER