Zobrazeno 1 - 10
of 145
pro vyhledávání: '"Dimitris Askounis"'
Autor:
Sotiris Pelekis, Theodosios Pountridis, Georgios Kormpakis, George Lampropoulos, Evangelos Karakolis, Spiros Mouzakitis, Dimitris Askounis
Publikováno v:
SoftwareX, Vol 27, Iss , Pp 101758- (2024)
This paper presents DeepTSF, a comprehensive machine learning operations (MLOps) framework aiming to innovate time series forecasting through workflow automation and codeless modeling. DeepTSF automates key aspects of the machine learning (ML) lifecy
Externí odkaz:
https://doaj.org/article/3e30721114234af18753cc60913a1392
Autor:
Christos Kontzinos, Evangelos Karakolis, Panagiotis Kokkinakos, Stavros Skalidakis, Dimitris Askounis, John Psarras
Publikováno v:
Applied Sciences, Vol 14, Iss 12, p 5191 (2024)
Since its conceptualization in 2008, blockchain technology has advanced rapidly and been applied in multiple domains. In higher education, blockchain can be applied to develop ICT systems that can revolutionize student accreditation through certifica
Externí odkaz:
https://doaj.org/article/b4604be917284138a43ba2ed6be8be24
Autor:
Konstantinos Alexakis, Michael Kontoulis, Christos Ntanos, Ariadni Michalitsi-Psarrou, Dimitris Askounis, George Doukas, Loukas Ilias
Publikováno v:
Open Research Europe, Vol 3 (2023)
Complex brain disorders, including Alzheimer’s dementia, sleep disorders, and epilepsy, are chronic conditions that have high prevalence individually and in combination, increasing mortality risk, and contributing to the socioeconomic burden of pat
Externí odkaz:
https://doaj.org/article/b24642a5be4e4603a884dae59f297110
Publikováno v:
IEEE Access, Vol 11, Pp 132576-132589 (2023)
Predicting the ship fuel consumption constitutes a prerequisite for speed, trim, and voyage optimization. In spite of the rise of deep learning and transformers in many domains, research works train shallow machine learning (ML) algorithms for predic
Externí odkaz:
https://doaj.org/article/13488a20a9b64a91894dc3fc75ea1b38
Publikováno v:
IEEE Access, Vol 11, Pp 21562-21574 (2023)
Electronic health records (EHR) are patient-level information, e.g., laboratory tests and questionnaires, stored in electronic format. Compared to physical records, the EHR alternative allows patients to access their data easily and helps staff with
Externí odkaz:
https://doaj.org/article/6a3685fc71a340bf9db964ef99427319
Autor:
Loukas Ilias, Giannis Tsapelas, Panagiotis Kapsalis, Vasilis Michalakopoulos, Giorgos Kormpakis, Spiros Mouzakitis, Dimitris Askounis
Publikováno v:
Frontiers in Big Data, Vol 6 (2023)
The modern maritime industry is producing data at an unprecedented rate. The capturing and processing of such data is integral to create added value for maritime companies and other maritime stakeholders, but their true potential can only be unlocked
Externí odkaz:
https://doaj.org/article/51c8752021064894a6e6fa2f034f085f
Autor:
Alexandros Menelaos Tzortzis, Sotiris Pelekis, Evangelos Spiliotis, Evangelos Karakolis, Spiros Mouzakitis, John Psarras, Dimitris Askounis
Publikováno v:
Mathematics, Vol 12, Iss 1, p 19 (2023)
Short-term load forecasting (STLF) is crucial for the daily operation of power grids. However, the non-linearity, non-stationarity, and randomness characterizing electricity demand time series renders STLF a challenging task. Various forecasting appr
Externí odkaz:
https://doaj.org/article/1cf1a0103db140238694ecc33ebbac6c
Autor:
Loukas Ilias, Dimitris Askounis
Publikováno v:
Frontiers in Aging Neuroscience, Vol 14 (2022)
Alzheimer's dementia (AD) entails negative psychological, social, and economic consequences not only for the patients but also for their families, relatives, and society in general. Despite the significance of this phenomenon and the importance for a
Externí odkaz:
https://doaj.org/article/4368cd77b8a0445e90c23e49e8097efc
Autor:
Anna Georgiadou, Ariadni Michalitsi-Psarrou, Fotios Gioulekas, Evangelos Stamatiadis, Athanasios Tzikas, Konstantinos Gounaris, Georgios Doukas, Christos Ntanos, Luís Landeiro Ribeiro, Dimitris Askounis
Publikováno v:
Healthcare, Vol 9, Iss 10, p 1335 (2021)
The coronavirus pandemic led to an unprecedented crisis affecting all aspects of the concurrent reality. Its consequences vary from political and societal to technical and economic. These side effects provided fertile ground for a noticeable cyber-cr
Externí odkaz:
https://doaj.org/article/68fb0165ee964ee9bf95810e2c4bd9b7
Publikováno v:
Sensors, Vol 21, Iss 9, p 3267 (2021)
The MITRE ATT&CK (Adversarial Tactics, Techniques, and Common Knowledge) Framework provides a rich and actionable repository of adversarial tactics, techniques, and procedures. Its innovative approach has been broadly welcomed by both vendors and ent
Externí odkaz:
https://doaj.org/article/5a11fe17f2b749968c441099e712a642