Zobrazeno 1 - 10
of 79 206
pro vyhledávání: '"A. Boon"'
Autor:
Lee, Jun-Young, Kim, Ji-hoon, Jung, Minyong, Oh, Boon Kiat, Jo, Yongseok, Park, Songyoun, Lee, Jaehyun, Ting, Yuan-Sen, Hwang, Ho Seong
We present a proof-of-concept simulation-based inference on $\Omega_{\rm m}$ and $\sigma_{8}$ from the SDSS BOSS LOWZ NGC catalog using neural networks and domain generalization techniques without the need of summary statistics. Using rapid lightcone
Externí odkaz:
http://arxiv.org/abs/2409.02256
Autor:
Wu, Chenyuan, Qin, Haoyun, Amiri, Mohammad Javad, Loo, Boon Thau, Malkhi, Dahlia, Marcus, Ryan
This paper presents BFTBrain, a reinforcement learning (RL) based Byzantine fault-tolerant (BFT) system that provides significant operational benefits: a plug-and-play system suitable for a broad set of hardware and network configurations, and adjust
Externí odkaz:
http://arxiv.org/abs/2408.06432
Autor:
Tuyen, LE Quang, Van Bo, Nguyen, Shengwei, Ma, Siong, Neo Boon, Arthur, Lim, Wei, KAng Chang, Huangwei, Zhang
The objective of the LES simulation is to investigate how operational parameters affect flame properties in combustion of the premixed NH3/H2/air inside a swirling burner. Key parameters explored include the differential blend ratio of NH3/H2 fuels,
Externí odkaz:
http://arxiv.org/abs/2408.05553
The equations governing incompressible Stokes flow are reformulated such that the velocity is sought in the space H(curl). This relaxed regularity assumption leads to conforming finite element methods using spaces common to discretizations of Maxwell
Externí odkaz:
http://arxiv.org/abs/2407.13353
Autor:
Chen, Tianxiang, Zhang, Chaoqun, Cheng, Lan, Ng, Kia Boon, Malbrunot-Ettenauer, Stephan, Flambaum, Victor V., Lasner, Zack, Doyle, John M., Yu, Phelan, Conn, Chandler J., Zhang, Chi, Hutzler, Nicholas R., Jayich, Andrew M., Augenbraun, Benjamin, Demille, David
Relativistic exact two-component coupled-cluster calculations of molecular sensitivity factors for nuclear Schiff moments (NSMs) are reported. We focus on molecules containing heavy nuclei, especially octupole-deformed nuclei. Analytic relativistic c
Externí odkaz:
http://arxiv.org/abs/2407.05160
Autor:
Ong, Ivan, Quek, Boon King
In this paper, we study the problem of detecting machine-generated text when the large language model (LLM) it is possibly derived from is unknown. We do so by apply ensembling methods to the outputs from DetectGPT classifiers (Mitchell et al. 2023),
Externí odkaz:
http://arxiv.org/abs/2406.12570
Fluidic iontronics offer a unique capability for emulating the chemical processes found in neurons. We extract multiple distinct chemically regulated synaptic features from a single conical microfluidic channel carrying functionalized surface groups,
Externí odkaz:
http://arxiv.org/abs/2406.03195
Autor:
Ratnam, Vishnu V., Sadiq, Bilal, Chen, Hao, Sun, Wei, Wu, Shunyao, Ng, Boon L., Jianzhong, Zhang
Although Wi-Fi is an ideal technology for many ranging applications, the performance of current methods is limited by the system bandwidth, leading to low accuracy of $\sim 1$ m. For many applications, measuring differential range, viz., the change i
Externí odkaz:
http://arxiv.org/abs/2405.12168
Electronic Health Records (EHR) serve as a valuable source of patient information, offering insights into medical histories, treatments, and outcomes. Previous research has developed systems for detecting applicable ICD codes that should be assigned
Externí odkaz:
http://arxiv.org/abs/2405.11622
A hitherto unexploited characteristic feature of emerging iontronic devices for information processing is the intrinsic mobility of the medium (water) of dissolved ions in aqueous electrolytes, which therefore not only respond to voltage but also to
Externí odkaz:
http://arxiv.org/abs/2404.15006