Sökning: "dynamic Bayesian network"
Visar resultat 1 - 5 av 11 uppsatser innehållade orden dynamic Bayesian network.
1. Non-Bayesian Out-of-Distribution Detection Applied to CNN Architectures for Human Activity Recognition
Master-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)Sammanfattning : Human Activity Recognition (HAR) field studies the application of artificial intelligence methods for the identification of activities performed by people. Many applications of HAR in healthcare and sports require the safety-critical performance of the predictive models. LÄS MER
2. Belief-aided Robust Control for Remote Electrical Tilt Optimization
Master-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)Sammanfattning : Remote Electrical Tilt (RET) is a method for configuring antenna downtilt in base stations to optimize mobile network performance. Reinforcement Learning (RL) is an approach to automating the process by letting an agent learn an optimal control strategy and adapt to the dynamic environment. LÄS MER
3. Vehicle Collision Risk Prediction Using a Dynamic Bayesian Network
Master-uppsats, KTH/Matematisk statistikSammanfattning : This thesis tackles the problem of predicting the collision risk for vehicles driving in complex traffic scenes for a few seconds into the future. The method is based on previous research using dynamic Bayesian networks to represent the state of the system. LÄS MER
4. Basal Metabolic Rate (BMR) estimation using Probabilistic Graphical Models
Master-uppsats, Uppsala universitet/Statistiska institutionenSammanfattning : Obesity is a growing problem globally. Currently 2.3 billion adults are overweight, and this number is rising. The most common method for weight loss is calorie counting, in which to lose weight a person should be in a calorie deficit. LÄS MER
5. Face Verification and Open-Set Identification for Real-Time Video Applications
Master-uppsats, Lunds universitet/Matematik LTHSammanfattning : In this work we aim to develop a video-based face verification algorithm suitable for real-time use in an embedded environment with limited space and restricted computational resources. We investigate face verification based solutions to envisioned real-time video applications that require open-set face identification. LÄS MER