Πλοήγηση Μεταπτυχιακές Διπλωματικές Εργασίες ανά Μεταπτυχιακό "Επιστήμη Δεδομένων"
Αποτελέσματα 1-20 από 28
-
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, ... -
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 ... -
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 ... -
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 ... -
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 ... -
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 ... -
Energy Price Forecasting in Italy
(Πανεπιστήμιο Πελοποννήσου, 2024-06-21)Σκοπός αυτής της εργασίας είναι να διερευνήσει την αποτελεσματικότητα των αλγορίθμων Μηχανικής Μάθησης στην πρόβλεψη των τιμών ηλεκτρικής ενέργειας, με ιδιαίτερη έμφαση στην Ιταλική χονδρική αγορά ηλεκτρικής ενέργειας IPEX, ... -
Evolutionary Ensemble Classification
(Πανεπιστήμιο Πελοποννήσου, 2021-11-23)During the last decades, in the area of machine learning and data mining, the development of ensemble methods has gained significant attention from the scientific community. Machine learning ensemble methods combine ... -
Exploring Machine Learning for Electricity Price Forecasting
(Πανεπιστήμιο Πελοποννήσου, 2021-07)The aim of this thesis is to explore the capabilities of Machine Learning algorithms in the task of electricity price forecasting. The focus is on the Hungarian wholesale electricity market (HUPX), which is considered a ... -
Flood Mapping Using Satellite Images
(Πανεπιστήμιο Πελοποννήσου, 2023-01)The aim of this thesis is to study the subject of flood mapping utilizing images captured from satellites and machine learning algorithms. Since the rise of ESA’s Copernicus program and the consecutive Sentinel satellites ... -
Flood Mapping Using Satellite Images
(Πανεπιστήμιο Πελοποννήσου, 2023-03)The aim of this thesis is to study the subject of flood mapping utilizing images captured from satellites and machine learning algorithms. Since the rise of ESA's Copernicus program and the consecutive Sentinel satellites ... -
Itemset mining on a distributed hash table system
(Πανεπιστήμιο Πελοποννήσου, 2022-07)Στη σημερινή κοινωνία το να χρησιμοποιεί κάποιος εφαρμογές για καθημερινές δραστηριότητες είναι τόσο φυσικό που ο περισσότερος κόσμος δεν το σκέφτεται πια. Αγορές, άρθρα και η κατανάλωση περιεχομένου όπως βίντεο έχουν ... -
Mathematical representations of MBTI personality type and their impact on predictive performance: An application in career counseling
(Πανεπιστήμιο Πελοποννήσου, 2022-07-21)Personalization plays a very important role in modern society and many companies create personalized products and services based on costumer profiles. Personalized services can be further improved through the adoption of ... -
Recommending Scientific Papers: A Survey and A Hybrid Approach
(Πανεπιστήμιο Πελοποννήσου, 2023-02-02)Τα συστήματα συστάσεων άρθρων είναι σημαντικά εργαλεία για να βοηθούν τους μελετητές και τους ερευνητές να ανακαλύπτουν σχετικά και ενδιαφέροντα άρθρα ενόψει του αυξανόμενου όγκου των δημοσιευμένων ερευνών. Σε αυτή τη ...