Hae LUTPubista
Aineistot 1-10 / 17
Time series clustering by extracted features
(2019)
Clustering electricity consumers can give insight into how a particular consumption profile is related to other attributes of the customer, for example the residence size or whether a sauna is in use or not. Furthermore, ...
CNN-based ringed seal pelage pattern extraction
(2020)
The topic of this thesis is inspired by the conservation efforts of Saimaa ringed seals, which are in danger of becoming extinct with no appropriate actions. The work aims to develop a fur pattern extraction framework to ...
Metric learning based pattern matching for species agnostic animal re-identification
(2021)
In the active effort to monitor and protect endangered animal species, modern technology is replacing the previously used conventional techniques of tracking using GPS or tagging which are considered invasive in nature. ...
Open-set plankton recognition
(2021)
Research on the plankton community is often dealt with acquiring species-level information of individual micro-organisms. The efficiency is limited when manually analyzing a massive collection of plankton image data generated ...
Smart grasping of known objects
(2020)
Smart grasping means that a robot can automatically decide which object and how an object can be grasped. Firstly, a neural network should find the objects and get a 2D bounding box. The convolution neural network is used ...
Image clustering for unsupervised analysis of plankton data
(2020)
Advancements in automated imaging has made it possible to enhance the data both in terms of quantity and quality. This has prompted the development of plankton imaging systems for acquiring the species level information ...
Instance segmentation of Ladoga ringed seals
(2020)
The wildlife photo-identification is an important issue today since it allows to identify and to track animals. It helps scientists to monitor the endangered species, although it is difficult to explore all the image ...
Improving the performance of Bayesian deep model training for artery-vein segmentation
(2020)
Retinal images are an important tool for diagnosis of ocular diseases. Automating the process of screening the retinal images would allow wider screening and make diagnosing of patients’ swifter. The possibility of performing ...
Plankton image clustering using similarity metric learning
(2022)
Technological advancement has evolved the imaging equipment used in plankton imaging. Nowadays it is possible to take images more efficiently. Due to the increased amount of images the processing time is longer. The ...
Classifying customer companies in an enterprise resource planning system using machine learning methods
(2022)
Information systems such as smart phone applications collect large amounts of data about their users. The data is used mostly for the system’s primary task, but machine learning methods can be used to get additional value ...