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Alexios Lekidis, Angelos Georgakis, Christos Dalamagkas and Elpiniki I. Papageorgiou
The scheduled maintenance of industrial equipment is usually performed with a low frequency, as it usually leads to unpredicted downtime in business operations. Nevertheless, this confers a risk of failure in individual modules of the equipment, which ma...
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George Papageorgiou, Vangelis Sarlis and Christos Tjortjis
This study utilized advanced data mining and machine learning to examine player injuries in the National Basketball Association (NBA) from 2000?01 to 2022?23. By analyzing a dataset of 2296 players, including sociodemographics, injury records, and financ...
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Agorastos-Dimitrios Samaras, Maria Tsimara, Sofia Voidila, Nikolaos Papandrianos, Petros Zampakis, Serafeim Moustakidis, Elpiniki Papageorgiou and Christina Kalogeropoulou
A computer-aided diagnosis system for parathyroid disease classification can be a valuable tool for primary health care. Medical experts can utilize such tools to pinpoint unhealthy patients accurately and early, hence decongesting the National Healthcar...
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Polina C. Tsalgatidou, Anastasia Papageorgiou, Anastasia Boutsika, Michael Chatzidimopoulos, Costas Delis, Dimitrios I. Tsitsigiannis, Epaminondas Paplomatas and Antonios Zambounis
Brown rot disease caused by Monilinia fructicola is one of the most important peach fruit threats in the world. The use of biological control agents (BCAs), instead of synthetic fungicides, to successfully inhibit postharvest disease development is a cha...
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Vangelis Sarlis, George Papageorgiou and Christos Tjortjis
Injuries are an unfortunate part of professional sports. This study aims to explore the multi-dimensional impact of injuries in professional basketball, focusing on player performance, team dynamics, and economic outcomes. Employing advanced machine lear...
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Anna Feleki, Ioannis D. Apostolopoulos, Serafeim Moustakidis, Elpiniki I. Papageorgiou, Nikolaos Papathanasiou, Dimitrios Apostolopoulos and Nikolaos Papandrianos
Myocardial Perfusion Imaging (MPI) has played a central role in the non-invasive identification of patients with Coronary Artery Disease (CAD). Clinical factors, such as recurrent diseases, predisposing factors, and diagnostic tests, also play a vital ro...
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K. Haritha, M. V. Judy, Konstantinos Papageorgiou, Vassilis C. Georgiannis and Elpiniki Papageorgiou
The features of a dataset play an important role in the construction of a machine learning model. Because big datasets often have a large number of features, they may contain features that are less relevant to the machine learning task, which makes the p...
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Serafeim Moustakidis, Athanasios Siouras, Konstantinos Vassis, Ioannis Misiris, Elpiniki Papageorgiou and Dimitrios Tsaopoulos
CrossFit has gained recognition and interest among physically active populations being one of the most popular and rapidly growing exercise regimens worldwide. Due to the intense and repetitive nature of CrossFit, concerns have been raised over the poten...
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Gayathri Soman, M. V. Vivek, M. V. Judy, Elpiniki Papageorgiou and Vassilis C. Gerogiannis
Focusing on emotion recognition, this paper addresses the task of emotion classification and its performance with respect to accuracy, by investigating the capabilities of a distributed ensemble model using precision-based weighted blending. Research on ...
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Dimitra Chatzivasileiou, Panagiotis D. Dimitriou, John Theodorou, Ioanna Kalantzi, Iordanis Magiopoulos, Nafsika Papageorgiou, Paraskevi Pitta, Manolis Tsapakis and Ioannis Karakassis
Integrated multitrophic aquaculture (IMTA) is an innovative mariculture methodology that reduces the environmental footprint and increases the profitability of the farm. It combines the cultivation of species belonging to different trophic levels, simula...
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