Browsing by Keywords "Machine learning"
Now showing items 1-20 of 68
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A comparative evaluation of machine learning and deep learning for sports predictions in table tennis
(Πανεπιστήμιο Δυτικής Αττικής, 2024-03-07)The surge in sports data availability has opened avenues for exploring the application of machine learning (ML) and deep learning (DL) techniques in predicting match outcomes as classification tasks across various sports. ... -
A speech-based approach for depression detection
(Πανεπιστήμιο Δυτικής Αττικής, 2024-10)Depression is a widespread mental health disorder with severe impacts on quality of life. Current screening relies mainly on psychiatrist evaluations, lacking technological support. Advances in AI now enable rapid pattern ... -
Applications of machine learning and data mining in damage provision and maintenance of operation for Greek railway rolling stock
(Πανεπιστήμιο Δυτικής Αττικής, 2022-12-09)Recently, important advancements in the international financial development and the introduction of new technologies in the business sector have arisen new challenges in the management of data and information, through ... -
Aria App | LittleOne Edition, η έξυπνη εφαρμογή για τη δημιουργία και αξιολόγηση μοντέλων UNET σε εργασίες κατάτμησης των αγγείων του αμφιβληστροειδούς
(Πανεπιστήμιο Δυτικής Αττικής, 2023-09-26)Η ακριβής κατάτμηση των αγγείων του αμφιβληστροειδούς αποτελεί ζωτικό βήμα για πολλές ιατρικές εφαρμογές, καθώς χρησιμοποιείται ευρέως για την παρακολούθηση της εξέλιξης της υγείας και την αξιολόγηση διαφόρων οφθαλμολογικών ... -
Artificial intelligence algorithms in the digital processing of biomedical images
(Πανεπιστήμιο Δυτικής Αττικής, 2023-03-10)Artificial intelligence has revolutionized the way we process and analyze data, including biomedical images. The present thesis investigates the application of convolutional neural networks (CNNs) for the classification ... -
Artificial intelligence in pharmaceutical domain (with emphasis on the data quality). ALCOA prediction from pharmaceutical industry line
(Πανεπιστήμιο Δυτικής Αττικής, 2022-07)We can all imagine the amount of data generated during the procedure of the production of a medicine in a pharmaceutical industry. Data are taken from the import of the raw material to the factory, its analysis until it ... -
Assessment and comparison of existing methods and datasets for sentiment analysis of Greek texts
(Πανεπιστήμιο Δυτικής ΑττικήςUniversité de Limoges, 2022-06-30)Sentiment Αnalysis is a well-known field of Natural Language Processing that is concerned with text classification. There is a vast number of papers, especially for the English language, that present state-of-the-art results ... -
Deep learning and variable autonomy for mobile robot navigation
(Πανεπιστήμιο Δυτικής Αττικής, 2024-03)This paper addresses the problem of safe and efficient navigation of mobile robots in extreme environments such as Search and Rescue (SAR) and Urban Search and Rescue (USAR) missions or other forms of remote robotic tasks. ... -
Deep-Learning vs Classical Machine-Learning comparison for text classification
(Πανεπιστήμιο Δυτικής Αττικής, 2022-07-08)The Classical Machine Learning and Deep Learning models are used to provide solutions in everyday technologies, like weather prediction, stock price prediction, voice-to-text conversion, fraud detection, quality assurance, ... -
Designing a scalable and reproducible machine learning workflow
(Πανεπιστήμιο Δυτικής Αττικής, 2024-03-06)The advancement of machine learning (ML) applications necessitates the construction of end-to-end experimentation pipelines characterized by scalability, robustness, and reproducibility. This thesis aims to empower Data ... -
Detection and classification of grapevine varieties using multispectral image analysis and vegetation indices
(Πανεπιστήμιο Δυτικής ΑττικήςUniversité de Limoges, 2023-07-18)The present master thesis focuses on investigating and analyzing issues related to the detection of grapevine varieties through the analysis of specific grapevine properties. These properties mostly concern the amount of ... -
Development of machine learning models to predict the activity of chemical compounds against the obesity-associated melanocortin-4 receptor
(Πανεπιστήμιο Δυτικής Αττικής, 2024-10-01)Monogenic obesity caused by mutations in the Melanocortin-4 Receptor (MC4R) gene remains a significant health challenge, despite numerous efforts to find effective treatments. The MC4R is a promising target for drug ... -
Distributed ledger technologies (DLT) and machine learning
(Πανεπιστήμιο Δυτικής Αττικής, 2024-09-16)This PhD thesis explores the benefits arising from the combining technologies from the following areas: a) Federated Learning, b) Distributed Ledger Technologies (DLTs) such as blockchains and c) Industrial applications. ... -
Forgery detection using machine learning and image processing
(Πανεπιστήμιο Δυτικής ΑττικήςUniversité de Limoges, 2024-07-17)In an era where digital transactions and document authentication play a central role, the need for strong and secure methods to verify handwritten signatures is paramount. This thesis explores the intersection of traditional ... -
Kalman Filters and their application in motion detection and tracking
(Πανεπιστήμιο Δυτικής Αττικής, 2020-02)During the last decade, breakthroughs in the fields of machine vision and reinforce-ment learning have been made possible thanks to the advancements in machine learning algorithms. ‘Machines’ now can recognize an object ... -
Machine learning for geophysical applications
(Πανεπιστήμιο Δυτικής Αττικής, 2023-07-19)In recent years, Deep Learning has drawn a lot of interest from the geophysical community. It can be used for a variety of geophysical employments, by providing simpler and easier solutions to problems. It addresses problems ... -
Machine learning methods for predictive maintenance using real-time data and time-frequency analysis
(Πανεπιστήμιο Δυτικής Αττικής, 2023-07-18)In this diploma thesis, different techniques of Predictive Maintenance based on Machine Learning are compared. In particular, the Remaining Useful Life of a ball bearing of the shaft of a Wind Turbine was predicted with ... -
MOSFET modelling as a digital twin and use of machine learning models to find current leakage
(Πανεπιστήμιο Δυτικής Αττικής, 2023-09)The object of this thesis is the presentation of a digital twin of the MOSFET, with the aim of providing tools for a better and more in-depth study and monitoring of its functions. Through the digital twin of the MOSFET, ... -
Optimizing mechanical Computer Aided Design (CAD) learning methodology through intelligent metadata management for a sustainable engineering education research field: Online, distance and hybrid learning for tutoring CAD in mechanical engineering
(Πανεπιστήμιο Δυτικής Αττικής, 2022-07-19)The author, motivated by her twenty-year experience in engineering education at different levels of the pedagogical scale, has been challenged to investigate novel processes of improving and eventually optimizing the ... -
Prediction of the retention time of natural product metabolites using transfer learning strategies
(Πανεπιστήμιο Δυτικής Αττικής, 2024-10-11)Retention time (RT) prediction in chromatography can play an important role for numerous analytical applications, including drug discovery and environmental monitoring. This study aims to enhance RT prediction accuracy by ...