Zobrazeno 1 - 10
of 6 708
pro vyhledávání: '"A, Papachristou"'
Rolling element bearings are critical components of rotating machinery, with their performance directly influencing the efficiency and reliability of industrial systems. At the same time, bearing faults are a leading cause of machinery failures, ofte
Externí odkaz:
http://arxiv.org/abs/2412.01322
Autor:
Rigas, Spyros, Papachristou, Michalis, Papadopoulos, Theofilos, Anagnostopoulos, Fotios, Alexandridis, Georgios
Publikováno v:
IEEE Access 12 (2024) 176982-176998
Physics-Informed Neural Networks (PINNs) have emerged as a robust framework for solving Partial Differential Equations (PDEs) by approximating their solutions via neural networks and imposing physics-based constraints on the loss function. Traditiona
Externí odkaz:
http://arxiv.org/abs/2407.17611
Hardware trojan detection methods, based on machine learning (ML) techniques, mainly identify suspected circuits but lack the ability to explain how the decision was arrived at. An explainable methodology and architecture is introduced based on the e
Externí odkaz:
http://arxiv.org/abs/2407.04551
Publikováno v:
2024 IEEE 3rd International Conference on Computing and Machine Intelligence (ICMI), 2024, pp. 1-6
Explainability is needed to establish confidence in machine learning results. Some explainable methods take a post hoc approach to explain the weights of machine learning models, others highlight areas of the input contributing to decisions. These me
Externí odkaz:
http://arxiv.org/abs/2406.08740
Autor:
Dasyra, K. M., Paraschos, G. F., Combes, F., Patapis, P., Helou, G., Papachristou, M., Fernandez-Ontiveros, J. A., Bisbas, T. G., Spinoglio, L., Armus, L., Malkan, M.
We present James Webb Space Telescope MIRI data of the inner 3x2kpc^2 of the galaxy IC5063, in which the jets of a supermassive black hole interact with the gaseous disk they are crossing. Jet-driven outflows were known to be initiated along or near
Externí odkaz:
http://arxiv.org/abs/2406.03218
Autor:
Papachristou, Marios, Yuan, Yuan
Social networks fundamentally shape human opinions, behaviors, and the dissemination of information. As large language models (LLMs) like GPT, Claude, and Llama increasingly integrate into social and professional settings, understanding their behavio
Externí odkaz:
http://arxiv.org/abs/2402.10659
How can individuals exchange information to learn from each other despite their privacy needs and security concerns? For example, consider individuals deliberating a contentious topic and being concerned about divulging their private experiences. Pre
Externí odkaz:
http://arxiv.org/abs/2402.08156
In various work contexts, such as meeting scheduling, collaborating, and project planning, collective decision-making is essential but often challenging due to diverse individual preferences, varying work focuses, and power dynamics among members. To
Externí odkaz:
http://arxiv.org/abs/2311.04928
Autor:
Alruwaili, Fayez H., Clancy, Michael P., Saeedi-Hosseiny, Marzieh S., Logar, Jacob A., Papachristou, Charalampos, Haydel, Christopher, Parvizi, Javad, Iordachita, Iulian I., Abedin-Nasab, Mohammad H.
In the face of challenges encountered during femur fracture surgery, such as the high rates of malalignment and X-ray exposure to operating personnel, robot-assisted surgery has emerged as an alternative to conventional state-of-the-art surgical meth
Externí odkaz:
http://arxiv.org/abs/2310.19153
Autor:
Lampropoulos, Konstantinos, Zarras, Apostolis, Lakka, Eftychia, Barmpaki, Polyanthi, Drakonakis, Kostas, Athanatos, Manos, Debar, Herve, Alexopoulos, Andreas, Sotiropoulos, Aristeidis, Tsakirakis, George, Dimakopoulos, Nikos, Tsolovos, Dimitris, Pocs, Matthias, Smyrlis, Michalis, Basdekis, Ioannis, Spanoudakis, Georgios, Mihaila, Ovidiu, Prelipcean, Bogdan, Salant, Eliot, Athanassopoulos, Sotiris, Papachristou, Petros, Ladakis, Ioannis, Chang, John, Floros, Evangelos, Smyrlis, Konstantinos, Besters, Rouven, Randine, Pietro, Lovaas, Karianna Fjeld, Cooper, John, Ilie, Iulia, Danciu, Gabriel, Khabbaz, Marwan Darwish
The healthcare sector is increasingly vulnerable to cyberattacks due to its growing digitalization. Patient data, including medical records and financial information, are at risk, potentially leading to identity theft and patient safety concerns. The
Externí odkaz:
http://arxiv.org/abs/2310.10139