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The expanding use of Unmanned Aerial Vehicles (UAVs) in vital areas like traffic management, surveillance, and environmental monitoring highlights the need for robust communication and navigation systems. Particularly vulnerable are Global Navigation
Externí odkaz:
http://arxiv.org/abs/2408.13056
Spectral line profiles are powerful diagnostic tools for both laboratory and astrophysical plasmas, as their shape is sensitive to the plasma environment. The low-frequency component of the electric microfield is an important input for analytic line
Externí odkaz:
http://arxiv.org/abs/2407.14455
With the burgeon deployment of the fifth-generation new radio (5G NR) networks, the codebook plays a crucial role in enabling the base station (BS) to acquire the channel state information (CSI). Different 5G NR codebooks incur varying overheads and
Externí odkaz:
http://arxiv.org/abs/2407.05928
Parameter inference for linear and non-Gaussian state space models is challenging because the likelihood function contains an intractable integral over the latent state variables. Exact inference using Markov chain Monte Carlo is computationally expe
Externí odkaz:
http://arxiv.org/abs/2406.15998
Autor:
Fujii, Keisuke, Sawada, Keiji, Arseniy, Kuzmin, Goto, Motoshi, Kobayashi, Masahiro, Scarlett, Liam H., Fursa, Dmitry V., Bray, Igor, Zammit, Mark C., Biewer, Theodore M.
Quantitative spectroscopy of molecular hydrogen has generated substantial demand, leading to the accumulation of diverse elementary-process data encompassing radiative transitions, electron-impact transitions, predissociations, and quenching. However
Externí odkaz:
http://arxiv.org/abs/2405.10227
Simulation-based methods for statistical inference have evolved dramatically over the past 50 years, keeping pace with technological advancements. The field is undergoing a new revolution as it embraces the representational capacity of neural network
Externí odkaz:
http://arxiv.org/abs/2404.12484
The recent advances in language-based generative models have paved the way for the orchestration of multiple generators of different artefact types (text, image, audio, etc.) into one system. Presently, many open-source pre-trained models combine tex
Externí odkaz:
http://arxiv.org/abs/2403.07182
Autor:
Gallotta, Roberto, Todd, Graham, Zammit, Marvin, Earle, Sam, Liapis, Antonios, Togelius, Julian, Yannakakis, Georgios N.
Recent years have seen an explosive increase in research on large language models (LLMs), and accompanying public engagement on the topic. While starting as a niche area within natural language processing, LLMs have shown remarkable potential across
Externí odkaz:
http://arxiv.org/abs/2402.18659
Autor:
Padovani, Marco, Galli, Daniele, Scarlett, Liam H., Grassi, Tommaso, Rehill, Una S., Zammit, Mark C., Bray, Igor, Fursa, Dmitry V.
Galactic cosmic rays (CRs) play a crucial role in ionisation, dissociation, and excitation processes within dense cloud regions where UV radiation is absorbed by dust grains and gas species. CRs regulate the abundance of ions and radicals, leading to
Externí odkaz:
http://arxiv.org/abs/2312.02062
Publikováno v:
Translational Psychiatry, Vol 14, Iss 1, Pp 1-12 (2024)
Abstract Background Pharmaco-psychiatric techniques remain the mainstay, first line treatments in substance use disorders (SUD), assisting in detoxification but largely ineffective at reducing dependence. The path to rehabilitation and freedom from a
Externí odkaz:
https://doaj.org/article/6512b333a85f49e3919de5e5993901c2
