Haku
Viitteet 1-10 / 24
Constructing Automatic Customer Segmentation in an Institute of Higher Education
(2020)
Diplomityö
Diplomityö
Customer relationship management is practiced widely in different kind of organizations, in addition in institutes of higher educations. In this environment customer relationship management is useful even though it has its ...
Reward Learning from Demonstrations for Autonomous Earthmoving
(2020)
Diplomityö
Diplomityö
With the increasing complexity of specific tasks, automation engineers look at various machine learning methods as opposed to methods that require laborious task specifications. Imitation learning methods have had varying ...
Data driven soft sensor for diesel engine emissions
(2020)
Diplomityö
Diplomityö
The objective of this thesis was to compare different machine learning models for predicting raw nitrogen oxides values produced by non-road diesel combustion engine in non-laboratory environment. The models were evaluated ...
Application of Machine Learning Methods for Human Gait Analysis
(2019)
Diplomityö
Diplomityö
The majority of human gait analysis methods are limited to clinical gait laboratories. The calculation of gait parameters for athletes, during running in open environment, has endless possibilities of performance analysis ...
A Scalable Method for Nonlinear Dimensionality Reduction with Applications to Single-Cell Data
(2022)
Diplomityö
Diplomityö
Current generation biological measurement technologies enable quantifying cellular characteristics and processes at a genome-wide scale and single-cell resolution, producing invaluable data for research on complex phenomena ...
Estimating 6D pose of an object using RGB data
(2022)
Diplomityö
Diplomityö
Estimating object’s 6D pose is an important aspect of automating even complicated processes, especially in a field of robotics where information about object’s 6D pose can be used for manipulating objects with a robot. In ...
Feature Engineering in Condition-based Maintenance: A Case Study
(2022)
Diplomityö
Diplomityö
Advances in machine learning have paved the way for new data-centric approaches in the field of prognostics and health management of industrial applications. These approaches can help reduce the cost of system maintenance ...
Predictability of One-Dimensional Dislocation Systems
(2020)
Diplomityö
Diplomityö
Detecting objects in cargo handling operations from 3D point cloud data
(2022)
Diplomityö
Diplomityö
The objective of this master thesis is to research existing 3D point cloud deep learning methods and their ability to detect keypoints in automatic cargo handling operations. Point clouds contain spatial information, which ...
Prediction of gait parameters by IMU data
(2022)
Diplomityö
Diplomityö
The human gait is measured in several ways and they are are used in several applications. Some applications are cumbersome to use. Thesis project aims for application that is straightforward to use and reliable. Earlier ...