Zobrazeno 1 - 10
of 11 144
pro vyhledávání: '"Angelov A"'
Publikováno v:
BIO Web of Conferences, Vol 102, p 02006 (2024)
The regulatory framework regarding food labelling aims to ensure food safety and prevent consumer misleading and food fraud. However, legal compliance cannot be controlled without the use of reliable analytical methods. Polymerase chain reaction (PCR
Externí odkaz:
https://doaj.org/article/a934ba69a58141f1bed9de15067a83d0
Autor:
Pulnova, Yelyzaveta, Parkman, Tomáš, Angelov, Borislav, Baranova, Iulia, Zymaková, Ana, Cipiccia, Silvia, Fardin, Luca, Antipenkov, Roman, Peceli, Davorin, Hort, Ondřej, Mai, Dong-Du, Andreasson, Jakob, Nejdl, Jaroslav
Experimentally measured characteristics of a kHz laser-driven Cu plasma X-ray source that was recently commissioned at ELI Beamlines facility are reported. The source can be driven either by an in-house developed high contrast sub-20 fs near-infrared
Externí odkaz:
http://arxiv.org/abs/2410.03313
Autor:
Fardin, L., Pulnova, Y., Parkman, T., Baranová, I., Fourmaux, S., Armstrong, C., Fratini, M., Chaulagain, U., Nejdl, J., Angelov, B., Batey, D. J., Olivo, A., Cipiccia, S.
Ptychography is a robust lensless form of microscopy routinely used for applications spanning life and physical sciences. The most common ptychography setup consists in using a detector to record diffraction patterns in the far-field. A near-field ve
Externí odkaz:
http://arxiv.org/abs/2410.00463
We present a novel method to construct particle accelerators targeting light atoms and nuclei using high-power femtosecond laser pulses. Initially, we confine light atoms within the laser pulse envelope due to longitudinal polarization forces, allowi
Externí odkaz:
http://arxiv.org/abs/2409.08186
Supervised learning-based adversarial attack detection methods rely on a large number of labeled data and suffer significant performance degradation when applying the trained model to new domains. In this paper, we propose a self-supervised represent
Externí odkaz:
http://arxiv.org/abs/2407.04382
As the use of Deep Neural Networks (DNNs) becomes pervasive, their vulnerability to adversarial attacks and limitations in handling unseen classes poses significant challenges. The state-of-the-art offers discrete solutions aimed to tackle individual
Externí odkaz:
http://arxiv.org/abs/2406.16501
Publikováno v:
ICANN2024
As the development of deep learning techniques in autonomous landing systems continues to grow, one of the major challenges is trust and security in the face of possible adversarial attacks. In this paper, we propose a federated adversarial learning-
Externí odkaz:
http://arxiv.org/abs/2406.15925
Publikováno v:
CVPR2024
Deepfake techniques generate highly realistic data, making it challenging for humans to discern between actual and artificially generated images. Recent advancements in deep learning-based deepfake detection methods, particularly with diffusion model
Externí odkaz:
http://arxiv.org/abs/2406.15921
Publikováno v:
BIO Web of Conferences, Vol 58, p 02004 (2023)
Food adulteration regarding species origin of meats is a common problem in the meat products sector. With regard to horse meat, its undeclared use in food products is not only a fraud, but could present a health risk since is often associated with th
Externí odkaz:
https://doaj.org/article/0f72dbd1189e4da89f7c1b3e31a5b907
Publikováno v:
BIO Web of Conferences, Vol 58, p 02001 (2023)
Fermented plant-based foods, including sauerkraut, offer high nutritional and functional value. Their microflora is dominated by lactic acid bacteria which are a source of different substances with health- promoting benefits and diverse applications
Externí odkaz:
https://doaj.org/article/c5b981404fa940a58bebd525e99dd3d5