This master's thesis has the primary purpose of constructing and carrying out an evaluation of two distinct solar cell technologies, namely crystalline solar cells with monocrystalline structure and polycrystalline solar ...

The integration of renewable energy sources and load represents challenges for the economical operation of the grid, while also giving rise to power quality issues. Extensive research has been undertaken in order to mitigate ...

The increasing integration of renewable energy sources into microgrids has resulted in a fundamental transformation of the power distribution framework. This study examines the essential elements of voltage and frequency ...

This Master thesis focuses on the development of a Text-to-Speech (TTS) system for the Azerbaijani language. TTS technology has been gaining popularity due to its ability to generate human-like speech from written text, ...

The aim of this master thesis was to develop a semi-automated data cleansing tool that can automatically perform data cleansing procedures on noisy datasets with minimal user input, resulting in clean and quality datasets ...

Methane is an important greenhouse gas standing as a potential threat to climate by contributing to global warming. Numerous studies conclude that in terms of its warming potential, methane is 86 times more powerful ...

This master thesis focuses on the quantitative (statistical) and semantic analysis of the Azerbaijani language corpus. The research begins with the creation of the corpus by collecting textual data on Azerbaijani ...

The research aims to answer the question of how to achieve text summarization in the Azerbaijani language. There are two types of text summarization, being extractive and abstractive. Abstractive text summarization is ...

Distributed systems are a vital part of contemporary computing infrastructure, and upholding data consistency across these systems is an essential aspect of their design. Consistency models, including strong, sequential, ...

Machine Learning and Deep Learning have been widely used in different domains and showed their performance in many applications such as fraud detection, speech recognition, etc. One of the domains in which Machine Learning ...