This thesis investigates the analysis and implementation of stylometric features for intrinsic plagiarism detection systems, addressing the increasing demand for effective methods to detect unoriginal content in written ...

This work describes a mobile application for bartenders that utilizes Computer vision techniques and neural networks to identify drink ingredients. This research seeks to develop a system that can present a selection of ...

This master's thesis focuses on the development and analysis of an automated video surveillance system powered by computer vision, aimed at enhancing security and monitoring capabilities. The project integrates state-of-the-art ...

The purpose of this work is to study the metadata of audio files, both identification and music, from the perspective of their use for training analytical and generative neural networks. Creation of a program for extracting ...

This thesis explores how semantic operators in a semantic algebra can improve vector search in Retrieval Augmented Generation (RAG) scenarios. Semantic operators manipulate the meaning of words and sentences in a formal, ...

Automated ticket routing systems are vital for efficiently managing customer and IT support inquiries. This thesis evaluates the performance of three prominent Natural Language Processing (NLP) models: DistilBERT-base-uncased, ...

This paper presents the application of the YOLO v8 (You Only Look Once) model for real-time object detection within an automated video surveillance system. YOLO v8, recognized for its superior balance between speed and ...

The spread of fake news has become a significant global challenge, particularly in the age of digital communication and social media. This research explores the application of Artificial Intelligence and Natural Language ...

The research involves the use of a neural network doodle and gesture recognition with emotional state detection to assist mentally disabled people. It involves the designing of the use of convolutional neural networks in ...