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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 ...
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 ...
Active learning for plankton recognition
(2022)
Plankton is essential part of the ocean ecosystem as it is an important food source for many marine life, both large and small and is also oxygen producer. Therefore, its quantity and condition must be monitored and its ...
Deep learning for point cloud segmentation with applications to sawmill industry
(2022)
Nowadays, the integration of digital technologies in enterprises is happening everywhere. The sawmill industry is no exception. The various stages of production at sawmills are being improved through the use of information ...
Estimating glue-layer defects on plywood through computer vision methods
(2023)
Making quality film-faced plywood is a vital issue for the manufacturer as it decides the quality of the end product made from this film-faced plywood. Detecting defects on the applied glue which is used to stick the films ...
Face anti-spoofing by using diffusion model
(2024)
This thesis explores the potential of diffusion models for improving face anti-spoofing (FAS) techniques. Due to the increasing usage of facial recognition systems in various domains, such as smartphone unlocking, airport ...