Zobrazeno 1 - 10
of 3 848
pro vyhledávání: '"Kosmas, P."'
Multi-term floating-point addition appears in vector dot-product computations, matrix multiplications, and other forms of floating-point data aggregation. A critical step in multi-term floating point addition is the alignment of fractions of the floa
Externí odkaz:
http://arxiv.org/abs/2410.21959
Domain generalisation involves learning artificial intelligence (AI) models that can maintain high performance across diverse domains within a specific task. In video games, for instance, such AI models can supposedly learn to detect player actions a
Externí odkaz:
http://arxiv.org/abs/2409.13002
Autor:
Sun, Yuyang, Kosmas, Panagiotis
Precise and timely forecasting of blood glucose levels is essential for effective diabetes management. While extensive research has been conducted on Type 1 diabetes mellitus, Type 2 diabetes mellitus (T2DM) presents unique challenges due to its hete
Externí odkaz:
http://arxiv.org/abs/2409.07315
Autor:
Sun, Yuyang, Kosmas, Panagiotis
In this study, we present a non-invasive glucose prediction system that integrates Near-Infrared (NIR) spectroscopy and millimeter-wave (mm-wave) sensing. We employ a Mixed Linear Model (MixedLM) to analyze the association between mm-wave frequency S
Externí odkaz:
http://arxiv.org/abs/2409.07308
General relativistic effects are strong near the black hole of an X-ray binary and significantly impact the total energy released at the innermost accretion disk's region. Our goal is to fully incorporate the black hole's spin and all the general rel
Externí odkaz:
http://arxiv.org/abs/2408.02415
The widespread adoption of machine learning algorithms necessitates hardware acceleration to ensure efficient performance. This acceleration relies on custom matrix engines that operate on full or reduced-precision floating-point arithmetic. However,
Externí odkaz:
http://arxiv.org/abs/2408.11997
Autor:
Kakolyris, Andreas Kosmas, Masouros, Dimosthenis, Vavaroutsos, Petros, Xydis, Sotirios, Soudris, Dimitrios
As Large Language Models (LLMs) gain traction, their reliance on power-hungry GPUs places ever-increasing energy demands, raising environmental and monetary concerns. Inference dominates LLM workloads, presenting a critical challenge for providers: m
Externí odkaz:
http://arxiv.org/abs/2408.05235
Autor:
Álvarez-Hernández, Ayoze, Torres, Manuel A. P., Shahbaz, Tariq, Rodríguez-Gil, Pablo, Gazeas, Kosmas D., Sánchez-Sierras, Javier, Jonker, Peter G., Corral-Santana, Jesús M., Acosta-Pulido, Jose A., Hakala, Pasi
We present a dynamical study of the intermediate polar cataclysmic variable YY Dra based on time-series observations in the $K$ band, where the donor star is known to be the major flux contributor. We covered the $3.97$-h orbital cycle with 44 spectr
Externí odkaz:
http://arxiv.org/abs/2407.17562
Understanding the complex relationships of biomarkers in diabetes is pivotal for advancing treatment strategies, a pressing need in diabetes research. This study applies Bayesian network structure learning to analyze the Shanghai Type 1 and Type 2 di
Externí odkaz:
http://arxiv.org/abs/2406.17090
Autor:
Barthet, Matthew, Kaselimi, Maria, Pinitas, Kosmas, Makantasis, Konstantinos, Liapis, Antonios, Yannakakis, Georgios N.
As online video and streaming platforms continue to grow, affective computing research has undergone a shift towards more complex studies involving multiple modalities. However, there is still a lack of readily available datasets with high-quality au
Externí odkaz:
http://arxiv.org/abs/2407.12787