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 ...

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 ...

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 ...

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., ...

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 ...

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 ...

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 ...

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 ...

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 ...

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 ...