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Wind shear detection from Doppler weather radar data
(2019)
Intensive wind shear phenomena, such as downbursts and gust fronts, pose a hazard to aviation, and issuing local forecasts of them could improve safety and decrease costs. In this thesis, a methodology for detecting and ...
Analysing electricity consumption data by fast search and find of density peaks
(2017)
The aim of this thesis is to compare a clustering method called Clustering by fast search and find of density peaks (CFSFDP) (Rodriguez et al. 2014) to two traditional clustering methods in analysis electricity consumption. ...
Deep forecasting of electricity consumption and production
(2020)
Buildings stock represented 41% of the final European energy consumption in 2016. It is, therefore, critical to improve their energy efficiency. Forecasting the electricity consumption of buildings would help users in ...
Pitch correction of human singing voice using neural networks
(2020)
Pitch correction of vocals is an integral part of music production, and while there are automatic methods for the process, they tend to produce a recognizable sound and their usage can be clearly heard in the final audio. ...
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. ...
Transformer networks for short-term forecasting of electricity prosumption
(2021)
Efficient energy management is accomplished by ensuring sustainable production of power and usage with minimized energy wastage. Electricity prosumption refers to electricity production and consumption. The forecasting of ...
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 ...
Plankton recognition using similarity learning
(2021)
Several automated classification methods for plankton images have been developed. These methods typically require an explicit description of features, data augmentation, and are not suitable for classes with a few example ...
Improving the accuracy of time-of-flight camera -based floor height estimation in mixed reality head-mounted displays
(2021)
In recent years, the use of mixed reality headsets has gained a lot of popularity in several applications ranging from creative design work to implementation of complex training procedures. To ensure a pleasant user ...
Statistical fault characterization in industrial processes
(2021)
Fault detection is used to identify anomalous behavior in a process or machine. This study aims to characterize faults in an industrial process based on vibration signal. The studied data is unlabeled process data containing ...