Zobrazeno 1 - 10
of 1 736
pro vyhledávání: '"Theofanis P"'
Autor:
Elena Fountzilas, Theofanis Papadopoulos, Eirini Papadopoulou, Cedric Gouedard, Helen P. Kourea, Pantelis Constantoulakis, Christina Magkou, Maria Sfakianaki, Vassiliki Kotoula, Dimitra Bantouna, Georgia Raptou, Angelica A. Saetta, Georgia Christopoulou, Dimitris Hatzibougias, Electra Michalopoulou-Manoloutsiou, Eleni Siatra, Eleftherios Eleftheriadis, Evangelia Kavoura, Loukas Kaklamanis, Antigoni Sourla, George Papaxoinis, Kitty Pavlakis, Prodromos Hytiroglou, Christina Vourlakou, Petroula Arapantoni-Dadioti, Samuel Murray, George Nasioulas, Grigorios Timologos, George Fountzilas, Zacharenia Saridaki
Publikováno v:
Diagnostics, Vol 14, Iss 11, p 1076 (2024)
Determination of microsatellite instability (MSI)/mismatch repair (MMR) status in cancer has several clinical implications. Our aim was to integrate MSI/MMR status from patients tested in Greece to assess the prevalence of MSI-high (MSI-H)/deficient
Externí odkaz:
https://doaj.org/article/16977904faf241ea9834c030319062de
Autor:
Theofanis Plagianakos, Nikolaos Chrysochoidis, Georgios Bolanakis, Nikolaos Leventakis, Nikolaos Margelis, Manolis Sotiropoulos, Fotis Giannopoulos, Grigoris-Christos Kardarakos, Christos Spandonidis, Evangelos Papadopoulos, Dimitris Saravanos
Publikováno v:
Sensors, Vol 24, Iss 8, p 2480 (2024)
A wireless monitoring system based on piezoelectric energy harvesting (PEH) is presented to provide fatigue data of wind turbine blades in operation. The system comprises three subsystems, each respectively providing the following functions: (i) the
Externí odkaz:
https://doaj.org/article/f650ad69fa494d84915274ba1b7a259f
Publikováno v:
FinTech, Vol 2, Iss 1, Pp 138-152 (2023)
Artificial intelligence (AI) is an extensive scientific field, part of which is the concept of deep learning, belonging to broader family of machine learning (ML) methods, based on artificial neural networks (ANNs). ANNs are active since the 1940s an
Externí odkaz:
https://doaj.org/article/a38a62f836c445f4bc7335c41007d888
Autor:
Theofanis P. Raptis, Andrea Passarella
Publikováno v:
IEEE Access, Vol 11, Pp 85333-85350 (2023)
Apache Kafka has become a popular solution for managing networked data streaming in a variety of applications, from industrial to general purpose. This paper systematically surveys the research literature in this field by carefully classifying it int
Externí odkaz:
https://doaj.org/article/0bf1606df61b4c54a2efd970704b5c89
Publikováno v:
Energies, Vol 17, Iss 6, p 1471 (2024)
The aim of the article is to analyze the perceived thermal comfort and indoor air quality of occupants and establish associations between these responses and the building-related, occupant-related characteristics, and environmental parameters of resi
Externí odkaz:
https://doaj.org/article/8c2ea8343c004ceb8edee51ee0502b9f
Autor:
Komander, Kristina, Pálsson, Gunnar K., Droulias, Sotirios A., Tsakiris, Theofanis, Sörme, David, Wolff, Max, Primetzhofer, Daniel
Nanoscaling interstitial metal hydrides offers opportunities for hydrogenation applications by enhancing kinetics, increasing surface area, and allowing for tunable properties. The introduction of interfaces impacts hydrogen absorption properties and
Externí odkaz:
http://arxiv.org/abs/2411.07067
Autor:
Demirel, Berker, Kong, Lingjing, Zhang, Kun, Karaletsos, Theofanis, Mendler-Dünner, Celestine, Locatello, Francesco
With the widespread deployment of deep learning models, they influence their environment in various ways. The induced distribution shifts can lead to unexpected performance degradation in deployed models. Existing methods to anticipate performativity
Externí odkaz:
http://arxiv.org/abs/2410.04499
Autor:
Ganitidis, Theofanis, Athanasiou, Maria, Mitsis, Konstantinos, Zarkogianni, Konstantia, Nikita, Konstantina S.
Background: The COVID-19 pandemic has highlighted the need for robust diagnostic tools capable of detecting the disease from diverse and evolving data sources. Machine learning models, especially convolutional neural networks (CNNs), have shown promi
Externí odkaz:
http://arxiv.org/abs/2409.19300
Autor:
Bunne, Charlotte, Roohani, Yusuf, Rosen, Yanay, Gupta, Ankit, Zhang, Xikun, Roed, Marcel, Alexandrov, Theo, AlQuraishi, Mohammed, Brennan, Patricia, Burkhardt, Daniel B., Califano, Andrea, Cool, Jonah, Dernburg, Abby F., Ewing, Kirsty, Fox, Emily B., Haury, Matthias, Herr, Amy E., Horvitz, Eric, Hsu, Patrick D., Jain, Viren, Johnson, Gregory R., Kalil, Thomas, Kelley, David R., Kelley, Shana O., Kreshuk, Anna, Mitchison, Tim, Otte, Stephani, Shendure, Jay, Sofroniew, Nicholas J., Theis, Fabian, Theodoris, Christina V., Upadhyayula, Srigokul, Valer, Marc, Wang, Bo, Xing, Eric, Yeung-Levy, Serena, Zitnik, Marinka, Karaletsos, Theofanis, Regev, Aviv, Lundberg, Emma, Leskovec, Jure, Quake, Stephen R.
The cell is arguably the most fundamental unit of life and is central to understanding biology. Accurate modeling of cells is important for this understanding as well as for determining the root causes of disease. Recent advances in artificial intell
Externí odkaz:
http://arxiv.org/abs/2409.11654
Publikováno v:
IEEE Access, Vol 8, Pp 157177-157196 (2020)
We present a detailed survey of the literature on the ISA100 Wireless industrial Internet standard (also known as ISA100.11a or IEC 62734). ISA100 Wireless is the IEEE 802.15.4-compatible wireless networking standard “Wireless Systems for Industria
Externí odkaz:
https://doaj.org/article/2af102170612446bafbdf336c583e6c7