Essays about: "bayesian optimization"

Showing result 21 - 25 of 73 essays containing the words bayesian optimization.

1. 21. Non-Intrusive Load Monitoring to Assess Retrofitting Work

   University essay from KTH/Matematisk statistik

   Author : Julien Zucchet; [2022]
   Keywords : NILM; retrofitting work assessment; hierarchical Bayesian mixture model; NILM; hierarkisk Bayesiansk blandningsmodell; utvärdering av renoveringsarbetens effektivitet;

   Abstract : Non-intrusive load monitoring (NILM) refers to a set of statistical methods for inferring information about a household from its electricity load curve, without adding any additional sensor. The aim of this master thesis is to adapt NILM techniques for the assessment of the efficiency of retrofitting work to provide a first version of a retrofitting assessment tool. READ MORE

3. 22. Facial Emotion Recognition using Convolutional Neural Network with Multiclass Classification and Bayesian Optimization for Hyper Parameter Tuning.

   University essay from Blekinge Tekniska Högskola/Institutionen för datavetenskap

   Author : Lokesh Bejjagam; Reshmi Chakradhara; [2022]
   Keywords : Computing Methodologies; Machine Learning; Machine Learning Approaches; Convolutional Neural Network; Facial Emotion Recognition.;

   Abstract : The thesis aims to develop a deep learning model for facial emotion recognition using Convolutional Neural Network algorithm and Multiclass Classification along with Hyper-parameter tuning using Bayesian Optimization to improve the performance of the model. The developed model recognizes seven basic emotions in images of human beings such as fear, happy, surprise, sad, neutral, disgust and angry using FER-2013 dataset. READ MORE

4. 23. Operation Oriented Digital Twin of Hydro Test Rig

   University essay from Luleå tekniska universitet/Institutionen för system- och rymdteknik

   Author : Ali Khademi; [2022]
   Keywords : Digital Twin; Bayesian Optimiation;

   Abstract : It has become increasingly important to introduce the Digital Twin in additive manufacturing as it is perceived as a promising step forward in its development and a vital component of Industry 4.0. Digital Twin is an up-to-date representation of a real asset in operation. The aim of this thesis is to develop a Digital Twin of a hydro test rig. READ MORE

5. 24. Bayesian Off-policy Sim-to-Real Transfer for Antenna Tilt Optimization

   University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)

   Author : Albin Larsson Forsberg; [2021]
   Keywords : Simulation to Reality; Coverage and Capacity Optimization; Remote Electrical Tilt; Reinforcement Learning; Bayesian Optimization; Domain Randomization; Off- policy Estimation; Simulering till Verklighet; Täckning och Kapacitetsoptimering; Fjärrstyrning av Elektrisk Lutning; Förstärkningsinlärning; Bayesiansk Optimering; Domänrandomisering; Off- policyskattning;

   Abstract : Choosing the correct angle of electrical tilt in a radio base station is essential when optimizing for coverage and capacity. A reinforcement learning agent can be trained to make this choice. If the training of the agent in the real world is restricted or even impossible, alternative methods can be used. READ MORE

6. 25. Far Field EM Side-Channel Attack Based on Deep Learning with Automated Hyperparameter Tuning

   University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)

   Author : Keyi Liu; [2021]
   Keywords : Side-Channel Attack; Deep Learning; Far Field EM emission; Auto Hyperparameter Tuning; Auto-Keras; AES; Sidokanalattack; Machine Learning; Multilayer Perceptron; Hyperparameter Tuning; Bayesian Optimization; Auto-Keras; AES;

   Abstract : Side-channel attacks have become a realistic threat to the implementations of cryptographic algorithms. By analyzing the unintentional, side-channel leakage, the attacker is able to recover the secret of the target. Recently, a new type of side-channel leakage has been discovered, called far field EM emissions. READ MORE