Zobrazeno 1 - 10
of 10 464
pro vyhledávání: '"Loh P"'
Publikováno v:
IET Smart Grid, Vol 7, Iss 5, Pp 485-502 (2024)
Abstract Rapidly increasing uptake of Electric Vehicles (EVs) is expected to have a significant impact on electrical power distribution networks. Considerable work has been carried out to understand this impact and quantify the distribution networks
Externí odkaz:
https://doaj.org/article/f85a7333e8bd4e1c8f4f00c43144a27e
Autor:
Magee D, Jeewa F, Chau MVHD, Loh PL, Ballesta Martinez B, Saluja M, Aw IH, Lozinskiy M, Lee S, Rosenberg M, Yuiminaga Y
Publikováno v:
Research and Reports in Urology, Vol Volume 16, Pp 215-224 (2024)
Daniel Magee,1 Feroza Jeewa,1 Matthew Vinh-Hoan Dinh Chau,1 Pamphila Lovelle Loh,1 Begona Ballesta Martinez,1– 3 Manmeet Saluja,1 Ivan H Aw,1 Mikhail Lozinskiy,1 Sunny Lee,1 Melanie Rosenberg,4 Yuigi Yuiminaga1 1Department of Urology, Royal Perth H
Externí odkaz:
https://doaj.org/article/343cfcde4a564908be71dec79f0a064d
Publikováno v:
Open Geosciences, Vol 15, Iss 1, Pp 1-2 (2023)
In this work, a sediment core collected from the Jiulong River estuary in southeastern China was subjected to 14C dating of foraminifera, as well as lignin, total organic carbon, and stable carbon isotope (δ13C) analyses in order to determine the im
Externí odkaz:
https://doaj.org/article/27423142204842fab589298411fc09ba
Cross-Domain Transfer Learning using Attention Latent Features for Multi-Agent Trajectory Prediction
Autor:
Loh, Jia Quan, Luo, Xuewen, Ding, Fan, Tew, Hwa Hui, Loo, Junn Yong, Ding, Ze Yang, Susilawati, Susilawati, Tan, Chee Pin
With the advancements of sensor hardware, traffic infrastructure and deep learning architectures, trajectory prediction of vehicles has established a solid foundation in intelligent transportation systems. However, existing solutions are often tailor
Externí odkaz:
http://arxiv.org/abs/2411.06087
We introduce a novel framework to characterize identified sets of structural and counterfactual parameters in econometric models. Our framework centers on a discrepancy function, which we construct using insights from convex analysis. The zeros of th
Externí odkaz:
http://arxiv.org/abs/2411.04239
Autor:
Kon, Wen Yu, Chu, Jefferson, Loh, Kevin Han Yong, Alia, Obada, Amer, Omar, Pistoia, Marco, Chakraborty, Kaushik, Lim, Charles
Data privacy and authentication are two main security requirements for remote access and cloud services. While QKD has been explored to address data privacy concerns, oftentimes its use is separate from the client authentication protocol despite impl
Externí odkaz:
http://arxiv.org/abs/2409.16540
Autor:
Loh, Siyuan Brandon, Wong, Liang Ze, Bhattacharya, Prasanta, Simons, Joseph, Gao, Wei, Zhang, Hong
We investigate Large Language Models' (LLMs) ability to predict a user's stance on a target given a collection of his/her target-agnostic social media posts (i.e., user-level stance prediction). While we show early evidence that LLMs are capable of t
Externí odkaz:
http://arxiv.org/abs/2409.14395
For handling intercurrent events in clinical trials, one of the strategies outlined in the ICH E9(R1) addendum targets the hypothetical scenario of non-occurrence of the intercurrent event. While this strategy is often implemented by setting data aft
Externí odkaz:
http://arxiv.org/abs/2409.10943
We implement a stacking strategy in designing chiral metasurfaces with high rotational symmetry, enabling quasi-bound-in-the-continuum (quasi-BIC) resonances characterized by absolute chirality. The rotational symmetry allows a circularly polarized p
Externí odkaz:
http://arxiv.org/abs/2407.19293
Empathetic Conversational Systems (ECS) are built to respond empathetically to the user's emotions and sentiments, regardless of the application domain. Current ECS studies evaluation approaches are restricted to offline evaluation experiments primar
Externí odkaz:
http://arxiv.org/abs/2407.18538