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of 4 522
pro vyhledávání: '"A, Karunaratne"'
Subsynchronous oscillations (SSOs) involving grid-forming converters (GFCs) are in a less familiar territory of power system dynamics. This letter reports a new phenomenon namely cross-area SSOs in grids with 100% droop-controlled GFC-based renewable
Externí odkaz:
http://arxiv.org/abs/2409.09912
The retrieval augmented generation (RAG) system such as Retro has been shown to improve language modeling capabilities and reduce toxicity and hallucinations by retrieving from a database of non-parametric memory containing trillions of entries. We i
Externí odkaz:
http://arxiv.org/abs/2410.00004
A case study on modeling adequacy of a grid in presence of renewable resources based on grid-forming converters (GFCs) is the subject matter of this paper. For this purpose, a 4-machine 11-bus IEEE benchmark model is modified by considering GFCs repl
Externí odkaz:
http://arxiv.org/abs/2407.09526
Time-varying phasor-based analysis of subsynchronous oscillations (SSOs) involving grid-following converters (GFLCs) and its benchmarking with electromagnetic transient (EMT) models have so far been restricted to highly simplified grid models with co
Externí odkaz:
http://arxiv.org/abs/2403.07835
Autor:
Ruffino, Samuele, Karunaratne, Geethan, Hersche, Michael, Benini, Luca, Sebastian, Abu, Rahimi, Abbas
Classification based on Zero-shot Learning (ZSL) is the ability of a model to classify inputs into novel classes on which the model has not previously seen any training examples. Providing an auxiliary descriptor in the form of a set of attributes de
Externí odkaz:
http://arxiv.org/abs/2401.16876
Autor:
Terzic, Aleksandar, Hersche, Michael, Karunaratne, Geethan, Benini, Luca, Sebastian, Abu, Rahimi, Abbas
MEGA is a recent transformer-based architecture, which utilizes a linear recurrent operator whose parallel computation, based on the FFT, scales as $O(LlogL)$, with $L$ being the sequence length. We build upon their approach by replacing the linear r
Externí odkaz:
http://arxiv.org/abs/2312.05605
Autor:
Menet, Nicolas, Hersche, Michael, Karunaratne, Geethan, Benini, Luca, Sebastian, Abu, Rahimi, Abbas
With the advent of deep learning, progressively larger neural networks have been designed to solve complex tasks. We take advantage of these capacity-rich models to lower the cost of inference by exploiting computation in superposition. To reduce the
Externí odkaz:
http://arxiv.org/abs/2312.02829
Autor:
Alexandra Steel, Nilushi Karunaratne, Betty Exintaris, Simon James, Abdullah Al-Juhaishi, Angelo Don, David Wei Dai, Angelina Lim
Publikováno v:
BMC Medical Education, Vol 24, Iss 1, Pp 1-11 (2024)
Abstract Background Resilience is an essential psychological trait that empowers individuals to adapt and thrive in the face of challenges. Although it is acknowledged that health professionals need to possess high levels of resilience, there has bee
Externí odkaz:
https://doaj.org/article/73f7c47a39ee4ba08359cd23ef92331b
Autor:
Hersche, Michael, Terzic, Aleksandar, Karunaratne, Geethan, Langenegger, Jovin, Pouget, Angéline, Cherubini, Giovanni, Benini, Luca, Sebastian, Abu, Rahimi, Abbas
Distributed sparse block codes (SBCs) exhibit compact representations for encoding and manipulating symbolic data structures using fixed-width vectors. One major challenge however is to disentangle, or factorize, the distributed representation of dat
Externí odkaz:
http://arxiv.org/abs/2303.13957
Publikováno v:
Journal of Patient-Reported Outcomes, Vol 8, Iss 1, Pp 1-10 (2024)
Abstract Background Total knee arthroplasty (TKA) is a common procedure employed to treat end-stage osteoarthritis. While TKA is generally believed to have acceptable outcomes, many patients report pain or functional deficits not in line with their e
Externí odkaz:
https://doaj.org/article/f37e7cf8cd9a4e5bb678bdc74afe97a0