Zobrazeno 1 - 10
of 133 789
pro vyhledávání: '"Bilal ."'
Publikováno v:
Zeszyty Teoretyczne Rachunkowości, Vol 47, Iss 4, Pp 155-171 (2023)
Purpose: The paper aims to highlight the trends in accounting research that used a literature review as their core research approach. The paper also provides an in-depth review of recent systemised reviews to analyse this trend. Methodology/approach:
Externí odkaz:
https://doaj.org/article/a7ec268d04de4e02b5c0846d2701c151
The rare three body decay of a Higgs boson to a lepton-anti lepton pair and a photon has begun to attract attention, after the first evidence for the $H\to Z\gamma$ at CMS and ATLAS, which is a sub process of $H \to \ell^+ \ell^- \gamma$ . To investi
Externí odkaz:
http://arxiv.org/abs/2410.23685
While teleparallel $f(T)$ gravity has shown considerable potential in addressing cosmological tensions, such as the $H_0$ and $S_8$ discrepancies, we explore previously overlooked solution spaces within this framework that hold further promise. Speci
Externí odkaz:
http://arxiv.org/abs/2410.23068
Objective: This review aims to analyze the application of natural language processing (NLP) techniques in cancer research using electronic health records (EHRs) and clinical notes. This review addresses gaps in the existing literature by providing a
Externí odkaz:
http://arxiv.org/abs/2410.22180
Last few years have seen unprecedented advances in capabilities of Large Language Models (LLMs). These advancements promise to deeply benefit a vast array of application domains. However, due to their immense size, performing inference with LLMs is b
Externí odkaz:
http://arxiv.org/abs/2410.22118
Autor:
Gomaa, Amr, Mahdy, Bilal
Integration of human feedback plays a key role in improving the learning capabilities of intelligent systems. This comparative study delves into the performance, robustness, and limitations of imitation learning compared to traditional reinforcement
Externí odkaz:
http://arxiv.org/abs/2410.21403
Autor:
Hue, Vincent, Cavalié, Thibault, Sinclair, James A., Zhang, Xi, Benmahi, Bilal, Rodríguez-Ovalle, Pablo, Giles, Rohini S., Stallard, Tom S., Johnson, Rosie E., Dobrijevic, Michel, Fouchet, Thierry, Greathouse, Thomas K., Grodent, Denis C., Hueso, Ricardo, Mousis, Olivier, Nixon, Conor A.
Observations of the Jovian upper atmosphere at high latitudes in the UV, IR and mm/sub-mm all indicate that the chemical distributions and thermal structure are broadly influenced by auroral particle precipitations. Mid-IR and UV observations have sh
Externí odkaz:
http://arxiv.org/abs/2410.20413
Despite the recent advancements in information retrieval (IR), zero-shot IR remains a significant challenge, especially when dealing with new domains, languages, and newly-released use cases that lack historical query traffic from existing users. For
Externí odkaz:
http://arxiv.org/abs/2410.18385
Autor:
Karaman, Bilal, Basturk, Ilhan, Taskin, Sezai, Zeydan, Engin, Kara, Ferdi, Beyazit, Esra Aycan, Camelo, Miguel, Björnson, Emil, Yanikomeroglu, Halim
As natural disasters become more frequent and severe, ensuring a resilient communications infrastructure is of paramount importance for effective disaster response and recovery. This disaster-resilient infrastructure should also respond to sustainabi
Externí odkaz:
http://arxiv.org/abs/2410.13977
We present a novel deep graphical representation that seamlessly merges principles of game theory with laws of statistical mechanics. It performs feature extraction, dimensionality reduction, and pattern classification within a single learning framew
Externí odkaz:
http://arxiv.org/abs/2410.12264