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pro vyhledávání: '"Filipe,P"'
Sensing will be a key technology in 6G networks, enabling a plethora of new sensing-enabled use cases. Some of the use cases relate to deployments over a wide physical area that needs to be sensed by multiple sensing sources at different locations. T
Externí odkaz:
http://arxiv.org/abs/2410.19589
Autor:
Torres, Arthur Elwing, de Moura, Edleno Silva, da Silva, Altigran Soares, Nascimento, Mario A., Mesquita, Filipe
Named Entity Recognition (NER) is a machine learning task that traditionally relies on supervised learning and annotated data. Acquiring such data is often a challenge, particularly in specialized fields like medical, legal, and financial sectors. Th
Externí odkaz:
http://arxiv.org/abs/2411.14551
Autor:
Beirão, Maria Miguel, Matos, João, Gonçalves, Tiago, Kase, Camila, Nakayama, Luis Filipe, de Freitas, Denise, Cardoso, Jaime S.
Keratitis is an inflammatory corneal condition responsible for 10% of visual impairment in low- and middle-income countries (LMICs), with bacteria, fungi, or amoeba as the most common infection etiologies. While an accurate and timely diagnosis is cr
Externí odkaz:
http://arxiv.org/abs/2411.08935
We investigate the effects of ultralight axions (ULAs) on the differential brightness temperature fluctuations of neutral hydrogen at the post-reionization stage. Unique structure suppression features under the influence of ULAs are studied from angu
Externí odkaz:
http://arxiv.org/abs/2411.07735
Autor:
Coelho, André, Ruela, José, Queirós, Gonçalo, Trancoso, Ricardo, Correia, Paulo Furtado, Ribeiro, Filipe, Fontes, Helder, Campos, Rui, Ricardo, Manuel
This paper proposes the Mobile Cell (MC) concept for on-demand 5G private networks. The MC is designed to extend, restore, and reinforce 5G wireless coverage and network capacity on-demand, especially in areas with temporary communications needs or w
Externí odkaz:
http://arxiv.org/abs/2411.06597
Autor:
Ramos, Miguel Moura, Almeida, Tomás, Vareta, Daniel, Azevedo, Filipe, Agrawal, Sweta, Fernandes, Patrick, Martins, André F. T.
Reinforcement learning (RL) has been proven to be an effective and robust method for training neural machine translation systems, especially when paired with powerful reward models that accurately assess translation quality. However, most research ha
Externí odkaz:
http://arxiv.org/abs/2411.05986
Autor:
Cordeiro, Filipe R., Carneiro, Gustavo
An important stage of most state-of-the-art (SOTA) noisy-label learning methods consists of a sample selection procedure that classifies samples from the noisy-label training set into noisy-label or clean-label subsets. The process of sample selectio
Externí odkaz:
http://arxiv.org/abs/2411.01613
Code translation aims to convert a program from one programming language (PL) to another. This long-standing software engineering task is crucial for modernizing legacy systems, ensuring cross-platform compatibility, enhancing performance, and more.
Externí odkaz:
http://arxiv.org/abs/2411.01063
Programmable optical devices provide performance enhancement and flexibility to spatial multiplexing systems enabling transmission of tributaries in high-order eigenmodes of spatially-diverse transmission media, like multimode fiber (MMF). Wavefront
Externí odkaz:
http://arxiv.org/abs/2410.23369
Pair-production and single-production of $W$ bosons provide many opportunities to look for new physics via precision measurements, for instance via scrutinising the involved triple-gauge vertices or by measuring CKM matrix elements in an environment
Externí odkaz:
http://arxiv.org/abs/2410.15122