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Learning enhancement with high firing irregularity produced by a two compartment neuron
(Πανεπιστήμιο Κύπρου, Σχολή Θετικών και Εφαρμοσμένων Επιστημών / University of Cyprus, Faculty of Pure and Applied Sciences, 2011-12)
This thesis introduced a different approach in modeling and producing firing irregularity at high rates in order to investigate in an alternative way the claim of Christodoulou and Cleanthous [1] and Cleanthous and ...
Implementation of mocap solver algorithm on motion captures to improve accuracy and performance
(Πανεπιστήμιο Κύπρου, Σχολή Θετικών και Εφαρμοσμένων Επιστημών / University of Cyprus, Faculty of Pure and Applied Sciences, 2022-12)
One of the main issues that Motion Capture systems face is to accurately note all markers within the 3D environment. While the accuracy varies according to the system used, there are algorithms that use Deep Learning ...
Rule extraction of cardiovascular database using decision trees
(Πανεπιστήμιο Κύπρου, Σχολή Θετικών και Εφαρμοσμένων Επιστημών / University of Cyprus, Faculty of Pure and Applied Sciences, 2009-06)
This study analyses the rule extraction of the cardiovascular database using classification algorithm. Heart disease is one of the most common causes of death in the western world and increasing so in Cyprus.
We constructed ...
Personalized elderly care scheme: providing personalized services based on context and behavior analysis
(Πανεπιστήμιο Κύπρου, Σχολή Θετικών και Εφαρμοσμένων Επιστημών / University of Cyprus, Faculty of Pure and Applied Sciences, 2011-05)
Elders who live alone generally have rich care networks—support networks of people who provide the elder with care. Such networks provide assistance ranging from day-to-day activities to social support and often include ...
Modelling the multiple sclerosis disease using stochastic petri nets
(Πανεπιστήμιο Κύπρου, Σχολή Θετικών και Εφαρμοσμένων Επιστημών / University of Cyprus, Faculty of Pure and Applied Sciences, 2011-01)
Multiple Sclerosis is an inflammatory demyelinating disorder of the Central Nervous System. It is an autoimmune disease that its causes are still not clarified. The demyelization of the neural axons leads to the physical ...
Digital twin of Nicosia
(Πανεπιστήμιο Κύπρου, Σχολή Θετικών και Εφαρμοσμένων Επιστημών / University of Cyprus, Faculty of Pure and Applied Sciences, 2023-05-29)
As large cities around the world grapple with numerous challenges such as traffic congestion, resource management, environmental concerns, and infrastructure maintenance, innovative solutions are needed to ensure sustainable ...
GAIA: an ai diagnostic decision-support system for gynecology based on argumentation
(Πανεπιστήμιο Κύπρου, Σχολή Θετικών και Εφαρμοσμένων Επιστημών / University of Cyprus, Faculty of Pure and Applied Sciences, 2021-06-01)
Σε αυτή την διατριβή παρουσιάζουμε το “GynAIcologicA” (GAIA), μία υλοποίηση ενός Συστήματος Υποβοήθησης Διάγνωσης [1] για τη Γυναικολογία, που θα προσφέρει υποστήριξη στους ειδικούς του τομέα κατά την κλινική διάγνωση. Η ...
The smartag framework for the dynamic reconstruction of adaptive web content
(Πανεπιστήμιο Κύπρου, Σχολή Θετικών και Εφαρμοσμένων Επιστημών / University of Cyprus, Faculty of Pure and Applied Sciences, 2009-06)
Mass customization should be more than just configuring a specific component (hardware or software), but should be seen as the co-design of an entire system, including services, experiences and human satisfaction at the ...
Explainable artificial intelligence in medicine: symbolic reasoning, machine learning, and hybrid approaches
(Πανεπιστήμιο Κύπρου, Σχολή Θετικών και Εφαρμοσμένων Επιστημών / University of Cyprus, Faculty of Pure and Applied Sciences, 2023-12)
As the usage of Artificial Intelligence (AI) is growing exponentially, it has been incorporated in medical diagnosis as well as other domains. Although Machine Learning (ML) models have been widespread adopted, many of ...
Extracting Explainable Assessments of Alzheimer’s Disease via Machine Learning on Brain MRI data
(Πανεπιστήμιο Κύπρου, Σχολή Θετικών και Εφαρμοσμένων Επιστημών / University of Cyprus, Faculty of Pure and Applied Sciences, 2024-06-13)
This master’s thesis focuses on the development of machine learning models and argumentation frameworks for the early diagnosis of Alzheimer's disease (AD) using brain MRI data. AD is the most common type of dementia, often ...