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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. ...
Vital sign detection using short-range mm-wave pulsed wave radar
(2020)
Proximity sensors have been improving fast during the last decades. Using a radiation source and examining the reflected signal, it is possible to investigate the surrounding environment without contact. The mm-wave RADAR ...
Numerical approximations of non-linear shallow water equations
(2020)
In this work, the Finite Difference Methods (FDMs), and Method of Lines (MOL) have been used to solve the Shallow Water Equations (SWEs) in one dimension. The SWEs has a free surface with no rotation, it's kinematic viscosity ...
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 ...
Mathematical methods in adaptive optics
(2020)
In this thesis, we made a literature review of adaptive optics in astronomy and to the mathematical methods behind it. Adaptive optics is used to correct wavefront perturbations caused by the atmosphere when imaging ...
Medical imaging applicability study of silicon pixel detectors with PSI46dig ROC
(2020)
The aim of the Multispectral Photon Counting for Medical Imaging and Beam Characterization (MPMIB) project is to develop a next-generation medical imaging detecting system capable of multispectral imaging. One of the ways ...
Filter method for feature selection using fuzziness index number with fuzzy k-nearest neighbor classifier
(2020)
The extensive data sets of real-world contain high-dimensional information; among them, some may hold irrelevant information that complicates the data set. Feature selection is regarded as a useful data preprocessing ...
Effect of humidity on electric potential of SnO2 film investigated by Kelvin probe force microscopy
(2020)
In this study hygroelectric behaviour of an SnO2 sample was studied using Kelvin probe force microscopy (KPFM) and humidity controlling equipment. The objective was to detect any possible surface potential changes within ...
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 ...