Zobrazeno 1 - 10
of 9 713
pro vyhledávání: '"Lukács, A."'
We introduce HackSynth, a novel Large Language Model (LLM)-based agent capable of autonomous penetration testing. HackSynth's dual-module architecture includes a Planner and a Summarizer, which enable it to generate commands and process feedback iter
Externí odkaz:
http://arxiv.org/abs/2412.01778
In medical image segmentation tasks, the scarcity of labeled training data poses a significant challenge when training deep neural networks. When using U-Net-style architectures, it is common practice to address this problem by pretraining the encode
Externí odkaz:
http://arxiv.org/abs/2410.18677
Autor:
Csanády, Bálint, Nagy, Lóránt, Boros, Dániel, Ivkovic, Iván, Kovács, Dávid, Tóth-Lakits, Dalma, Márkus, László, Lukács, András
We present a purely deep neural network-based approach for estimating long memory parameters of time series models that incorporate the phenomenon of long-range dependence. Parameters, such as the Hurst exponent, are critical in characterizing the lo
Externí odkaz:
http://arxiv.org/abs/2410.03776
Large Language Models (LLMs), such as GPT-4 and Llama 2, show remarkable proficiency in a wide range of natural language processing (NLP) tasks. Despite their effectiveness, the high costs associated with their use pose a challenge. We present LlamBE
Externí odkaz:
http://arxiv.org/abs/2403.15938
The Canadian air travel sector has seen a significant increase in flight delays, cancellations, and other issues concerning passenger rights. Recognizing this demand, we present a chatbot to assist passengers and educate them about their rights. Our
Externí odkaz:
http://arxiv.org/abs/2403.12678
This research explores the reliability of deep learning, specifically Long Short-Term Memory (LSTM) networks, for estimating the Hurst parameter in fractional stochastic processes. The study focuses on three types of processes: fractional Brownian mo
Externí odkaz:
http://arxiv.org/abs/2401.01789
Autor:
Sofia M. Kapetanaki, Nicolas Coquelle, David von Stetten, Martin Byrdin, Ronald Rios-Santacruz, Richard Bean, Johan Bielecki, Mohamed Boudjelida, Zsuzsana Fekete, Geoffrey W. Grime, Huijong Han, Caitlin Hatton, Sravya Kantamneni, Konstantin Kharitonov, Chan Kim, Marco Kloos, Faisal H. M. Koua, Iñaki de Diego Martinez, Diogo Melo, Lukas Rane, Adam Round, Ekaterina Round, Abhisakh Sarma, Robin Schubert, Joachim Schulz, Marcin Sikorski, Mohammad Vakili, Joana Valerio, Jovana Vitas, Raphael de Wijn, Agnieszka Wrona, Ninon Zala, Arwen Pearson, Katerina Dörner, Giorgio Schirò, Elspeth F. Garman, András Lukács, Martin Weik
Publikováno v:
IUCrJ, Vol 11, Iss 6, Pp 991-1006 (2024)
OaPAC is a recently discovered blue-light-using flavin adenosine dinucleotide (BLUF) photoactivated adenylate cyclase from the cyanobacterium Oscillatoria acuminata that uses adenosine triphosphate and translates the light signal into the production
Externí odkaz:
https://doaj.org/article/f5172cd8b2a24e84967c8f4cf03b38f8
Publikováno v:
Phys. Rev. E 109, 014228 (2024)
In two-component non-linear Schr\"odinger equations, the force exerted by incident monochromatic plane waves on an embedded dark soliton and on dark-bright-type solitons is investigated, both perturbatively and by numerical simulations. When the inco
Externí odkaz:
http://arxiv.org/abs/2307.02925
Autor:
Ugi, Dávid, Zoller, Kolja, Lukács, Kolos, Fogarassy, Zsolt, Groma, István, Kalácska, Szilvia, Schulz, Katrin, Ispánovity, Péter Dusán
In metals geometrically necessary dislocations (GNDs) are generated primarily to accommodate strain gradients and they play a key role in the Bauschinger effect, strain hardening, micron-scale size effects and fatigue. During bending large strain gra
Externí odkaz:
http://arxiv.org/abs/2306.08262
Autor:
Réka Kiss, Katalin Lukács, Laura Godó, Ágnes Tóth, Tamás Miglécz, László Szél, László Demeter, Balázs Deák, Orsolya Valkó
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-14 (2024)
Abstract Due to their complex life cycles geophytes are often neglected in conservation programs, despite they are important elements of early spring communities. Their life cycle is strongly affected by weather parameters, i.e. temperature, precipit
Externí odkaz:
https://doaj.org/article/43a9bc4794fa44f0ad182231a6e44c26