Zobrazeno 1 - 10
of 6 108
pro vyhledávání: '"ANDREI, C"'
Link prediction models can benefit from incorporating textual descriptions of entities and relations, enabling fully inductive learning and flexibility in dynamic graphs. We address the challenge of also capturing rich structured information about th
Externí odkaz:
http://arxiv.org/abs/2408.06778
Autor:
Mirea, Anca G., Vlaicu, Ioana D., Derbali, Sarah, Neatu, Florentina, Tomulescu, Andrei G., Besleaga, Cristina, Enculescu, Monica, Kuncser, Andrei C., Iacoban, Alexandra C., Filipoiu, Nicolae, Cuzminschi, Marina, Nemnes, George A., Manolescu, Andrei, Florea, Mihaela, Pintilie, Ioana
Herein we present a comparative study among different mesoporous electron transporter layers (ETLs), namely nanometric m-TiO2, m-SnO2 and m-SnO2 quantum dots (QDs), deposited by spray coating method. The experimental data correlated with the photovol
Externí odkaz:
http://arxiv.org/abs/2406.18261
Publikováno v:
Rapid Prototyping Journal, 2024, Vol. 30, Issue 9, pp. 1846-1858.
Externí odkaz:
http://www.emeraldinsight.com/doi/10.1108/RPJ-01-2024-0057
We argue that Transformers are essentially graph-to-graph models, with sequences just being a special case. Attention weights are functionally equivalent to graph edges. Our Graph-to-Graph Transformer architecture makes this ability explicit, by inpu
Externí odkaz:
http://arxiv.org/abs/2310.17936
Unlike the Open Domain Question Answering (ODQA) setting, the conversational (ODConvQA) domain has received limited attention when it comes to reevaluating baselines for both efficiency and effectiveness. In this paper, we study the State-of-the-Art
Externí odkaz:
http://arxiv.org/abs/2310.14708
Epigraphy increasingly turns to modern artificial intelligence (AI) technologies such as machine learning (ML) for extracting insights from ancient inscriptions. However, scarce labeled data for training ML algorithms severely limits current techniqu
Externí odkaz:
http://arxiv.org/abs/2310.07310
Development and evaluation of an Arduino-based multi-sensor aquaculture water quality monitoring kit
Autor:
Izza Amiel P. Calajate, Trixie A. Babala, Ayume L. Paulite, Maria Hanna Isabelle V. Lagrisola, Althea Marie D. Aguilan, Daryll Z. Dela Pasion, Cedric Jay A. De Vera, Godwin Andrei C. Cruz, Clven Louis V. Factor, Jazmine Pia L. Templonuevo, Zarah M. Lamzaghi, Kenneth Gabriel Z. Riñon, Jonathan A. De los Santos
Publikováno v:
International Journal of Science, Technology, Engineering and Mathematics, Vol 4, Iss 3, Pp 1-29 (2024)
Fish farmers struggle with the problem of fish mortality due to climate change, poisoning, and bad water quality. Estimates on the mortality of fishes ranges from 60% to 80% depending on the type of fish. Traditional approaches in monitoring the qual
Externí odkaz:
https://doaj.org/article/81f3c64721014a9c981c70fdea1c695e
Document-level relation extraction typically relies on text-based encoders and hand-coded pooling heuristics to aggregate information learned by the encoder. In this paper, we leverage the intrinsic graph processing capabilities of the Transformer mo
Externí odkaz:
http://arxiv.org/abs/2308.14423
Autor:
Andrei C. Ribeiro, Rômullo R. M. Carvalho, Francisco V. E. Lemos, João P. C. Silveira, Pedro J. S. Neto, Carlos E. Beluzo, Tárcio A. S. Barros
Publikováno v:
Eletrônica de Potência, Vol 29, Pp e202438-e202438 (2024)
The expansion of great-scale photovoltaic (PV) power plants indicates the need for an accurate lifetime assessment of inverters to maintain energy supply availability. In this context, the study contributes in two ways. First, we use machine-learning
Externí odkaz:
https://doaj.org/article/9dce9899cd424ac4b69005129125e96c