Zobrazeno 1 - 10
of 11 453
pro vyhledávání: '"Amor P"'
Publikováno v:
Ocnos, Vol 23, Iss 1 (2024)
Las redes sociales se han convertido en los últimos años en los espacios de relación y comunicación más habituales, sobre todo para los jóvenes, condicionando sus hábitos de expresión. En consecuencia, los autores literarios, la literatura, s
Externí odkaz:
https://doaj.org/article/bd73f22198b047d8836e7873294f46f1
Publikováno v:
Media and Communication, Vol 10, Iss 1, Pp 208-221 (2022)
Internet celebrity has become a phenomenon of great interest for scholars in the last few years. This is partly due to its impact in contemporary media ecosystems, and its influence in political, social, cultural, and commercial behaviors around the
Externí odkaz:
https://doaj.org/article/09342ded736c45c3a6c3b8a56a9ac200
Agriculture activity monitoring needs to deal with large amounts of data originating from various organizations (weather stations, agriculture repositories, field management, farm management, universities, etc.) and mass people. Therefore, a scalable
Externí odkaz:
http://arxiv.org/abs/2411.12303
This paper combines a techno-economic energy system model with an econometric model to maximise electricity price forecasting accuracy. The proposed combination model is tested on the German day-ahead wholesale electricity market. Our paper also benc
Externí odkaz:
http://arxiv.org/abs/2411.04880
This paper introduces a new method for safety-aware robot learning, focusing on repairing policies using predictive models. Our method combines behavioral cloning with neural network repair in a two-step supervised learning framework. It first learns
Externí odkaz:
http://arxiv.org/abs/2411.04408
In this work, we propose an approach to robust precoder design based on a minorization maximization technique that optimizes a surrogate function of the achievable spectral efficiency. The presented method accounts for channel estimation errors durin
Externí odkaz:
http://arxiv.org/abs/2411.02615
Autor:
Francisco, Kishi Kobe Yee, Apuhin, Andrane Estelle Carnicer, Tan, Myles Joshua Toledo, Byers, Mickael Cavanaugh, Maravilla, Nicholle Mae Amor Tan, Karim, Hezerul Abdul, AlDahoul, Nouar
Personalized medicine (PM) promises to transform healthcare by providing treatments tailored to individual genetic, environmental, and lifestyle factors. However, its high costs and infrastructure demands raise concerns about exacerbating health disp
Externí odkaz:
http://arxiv.org/abs/2411.02307
In this work, we propose a low-cost rate splitting (RS) technique for a multi-user multiple-input single-output (MISO) system operating in frequency division duplex (FDD) mode. The proposed iterative optimisation algorithm only depends on the second-
Externí odkaz:
http://arxiv.org/abs/2411.02242
Quantum computing is emerging as a transformative technology with the announced potential to solve large-scale problems that are currently intractable for classical computers. With the demonstrated ability to perform calculations in seconds that woul
Externí odkaz:
http://arxiv.org/abs/2411.00118
Autor:
Kiulian, Artur, Polishko, Anton, Khandoga, Mykola, Kostiuk, Yevhen, Gabrielli, Guillermo, Gagała, Łukasz, Zaraket, Fadi, Obaida, Qusai Abu, Garud, Hrishikesh, Mak, Wendy Wing Yee, Chaplynskyi, Dmytro, Amor, Selma Belhadj, Peradze, Grigol
In this paper, we propose a model-agnostic cost-effective approach to developing bilingual base large language models (LLMs) to support English and any target language. The method includes vocabulary expansion, initialization of new embeddings, model
Externí odkaz:
http://arxiv.org/abs/2410.18836