Πλοήγηση Τμήμα Πληροφορικής και Τηλεπικοινωνιών (Μ. Δ. Ε.) ανά Τίτλο
Αποτελέσματα 1-20 από 181
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A Deep Learning approach for modeling the spatial distribution of contaminants in the Black Sea
(Πανεπιστήμιο Πελοποννήσου, 2022-05-04)Black Sea (BS) is an important ecosystem, which is affected by various anthropogenic pressures, such as shipping activities, wastewater inputs from large coastal cities and most importantly loads by major rivers (e.g., ... -
A framework for the collection, aggregation, collation and prediction of meteorological data
(Πανεπιστήμιο Πελοποννήσου, 2024-03)Nowadays, there are several different sources (weather stations, sites) of meteorological data, regarding a specific geographical area, however it remains uncertain and unclear how much these data converge. One approach ... -
A study on the impact of prior distributions in Bayesian inference
(Πανεπιστήμιο Πελοποννήσου, 2024-04-10)This thesis delves into the critical role that prior distributions play in Bayesian statistical analysis. Through a series of meticulously chosen practical examples, the research explores the nuanced effects of conjugate, ... -
ArgDF: Arguments on the Semantic Web
(Πανεπιστήμιο Πελοποννήσου, 2013-04)Οι εφαρμογές του διαδικτύου περνάνε σε νέα διάσταση ως αποτέλεσμα των υψηλότερων απαιτήσεων που επέφερε η ραγδαία αύξηση του κοινού τους. Η πληροφορία πλέον αποκτά νόημα με αποτέλεσμα να γίνεται αποδοτικότερα και ταχύτερα ... -
Aspect Based Sentiment Analysis on hotel reviews in Greek
(Πανεπιστήμιο Πελοποννήσου, 2021-07)In recent years, a rising number of businesses have used the feedback mechanism of reviews for their products and services in order to adapt to changing consumer demands. Sentiment identification from texts (Sentiment ... -
Aspect Based Sentiment Analysis on User-generated Content
(Πανεπιστήμιο Πελοποννήσου, 2022-05-16)Lots of research has been done in the field of natural language processing as far as the part of sentiment analysis is concerned. On top of that, other research focused more specifically on the aspect to which the sentiment ... -
ChatBot for Cyber-Security based on RASA Framework
(Πανεπιστήμιο Πελοποννήσου, 2024-06-28)With the ever-increasing complexity of cybersecurity threats and vulnerabilities, the need for efficient and effective vulnerability management solutions tends to be vital. This proposed cybersecurity chatbot seeks to ... -
Cloudstudy: a web-based system for supporting multi-centre studies
(Πανεπιστήμιο Πελοποννήσου, 2014)Οι επιδημιολογικές μελέτες είναι ένα απο τα σημαντικοτερα εργαλεία που χρησιμοποιούνται σήμερα στην έρευνα της (βιο)ιατρικής επιστήμης. Οι μεγάλης έκτασης επιδημιολογικές μελέτες που περιλαμβάνουν ένα μεγάλο αριθμό ... -
Cognitive Radio Security
(Πανεπιστήμιο Πελοποννήσου, 2013-02) -
Comparison of full-text search performance in relational and non-relational database systems
(Πανεπιστήμιο Πελοποννήσου, 2022-11)In this work, we aim to compare and report the performance between relational and non-relational database systems in text retrieval, and more speci cally in full-text search. This comparative study is focused on the ... -
Comparison of full-text search performance in relational and non-relational database systems
(Πανεπιστήμιο Πελοποννήσου, 2022-11)In text retrieval, full-text search refers to techniques for searching a single computer stored document or a collection in a database. In a full-text search, a search engine examines all the words in every stored document ... -
Construction of a front_end compiler for vector languages
(Πανεπιστήμιο Πελοποννήσου, 2012)Vector languages such as MATLAB have become popular for many years in prototyping algorithms in various domains. Many of these applications whose subtasks have diverse execution requirements, often employ distributed, ... -
Contemporary Machine Learning Methods For Twitter Bot Detection
(Πανεπιστήμιο Πελοποννήσου, 2023-06-21)The aim of this thesis is to provide a comprehensive review of the current state of the art in detecting bots active on the social media platform of Twitter through the use of machine learning algorithms. Bots can be ... -
Convolutional Neural Networks for Automated Detection of ULF Waves in Swarm Time Series
(Πανεπιστήμιο Πελοποννήσου, 2020-09-25)Ultra-low frequency (ULF) magnetospheric plasma waves play a key role in the dynamics of the Earth’s magnetosphere and, therefore, their importance in Space Weather studies is indisputable. Magnetic field measurements from ... -
Deep Metric Learning for Music Information Retrieval
(Πανεπιστήμιο Πελοποννήσου, 2023-10-18)This master thesis explores the application of Deep Metric Learning (DML) in the context of audio data representations. DML is a technique that leverages deep neural networks to automatically learn hierarchical representations ... -
Deep Metric Learning for Music Information Retrieval
(Πανεπιστήμιο Πελοποννήσου, 2023-10-18)This master thesis explores the application of Deep Metric Learning (DML) for creating effective audio representations in tasks like audio classification, music retrieval, and speech recognition. DML uses deep neural ... -
DEEP SPACE COMMUNICATION SYSTEMS AND TECHNOLOGY
(Πανεπιστήμιο Πελοποννήσου, 2024)This thesis explores the critical role of deep space communication systems and technologies in enabling successful space exploration and scientific discovery. In addition, this work contributes to the understanding of ... -
Development of a real-time for deriving the optical properties of aerosol particles in PANGEA observatory, using ground-based passive remote sensing measurements
(Πανεπιστήμιο Πελοποννήσου, 2020-09-18)The goal of this work is to create an automated tool that calculates in near real-time the optical properties of aerosol particles observed in the PANhellenic GEophysical observatory of Antikythera (PANGEA), when the ... -
Development of Automated methods for the detection of solar vortex flows
(Πανεπιστήμιο Πελοποννήσου, 2020-09-24)The Sun’s surface is very dynamic, even on periods of weak solar activity, producing a variety of magnetic structures, amongst them structures that can cause plasma to exhibit vortex-like motions. These so-called solar ... -
Document Data Analysis via Machine/Deep Learning techniques
(Πανεπιστήμιο Πελοποννήσου, 2021-03)Job advert aggregators gather millions of adverts every single day, by scraping job boards and various other sources across the globe. Aggregators are getting visited by millions of active job seekers every day, that ...