Zobrazeno 1 - 10
of 15 338
pro vyhledávání: '"Computational engineering"'
In recent years, Large Language Models (LLMs) have emerged as a transformative development in artificial intelligence (AI), drawing significant attention from industry and academia. Trained on vast datasets, these sophisticated AI systems exhibit imp
Externí odkaz:
http://arxiv.org/abs/2412.19784
Seismic full waveform inversion (FWI) has seen promising advancements through deep learning. Existing approaches typically focus on task-specific models trained and evaluated in isolation that lead to limited generalization across different geologica
Externí odkaz:
http://arxiv.org/abs/2412.19510
Autor:
Solaiman, Ellis, Robins, Jorge
Q&A websites rely on user-generated responses, with incentives such as reputation scores or monetary rewards often offered. While some users may find it intrinsically rewarding to assist others, studies indicate that payment can improve the quality a
Externí odkaz:
http://arxiv.org/abs/2412.19384
Autor:
Kashi, Aditya, Lu, Hao, Brewer, Wesley, Rogers, David, Matheson, Michael, Shankar, Mallikarjun, Wang, Feiyi
The explosive demand for artificial intelligence (AI) workloads has led to a significant increase in silicon area dedicated to lower-precision computations on recent high-performance computing hardware designs. However, mixed-precision capabilities,
Externí odkaz:
http://arxiv.org/abs/2412.19322
Autor:
Zhu, Senbin, He, Chenyuan, Liu, Hongde, Dong, Pengcheng, Zhao, Hanjie, Yan, Yuchen, Jia, Yuxiang, Zan, Hongying, Peng, Min
In recent years, fine-grained sentiment analysis in finance has gained significant attention, but the scarcity of entity-level datasets remains a key challenge. To address this, we have constructed the largest English and Chinese financial entity-lev
Externí odkaz:
http://arxiv.org/abs/2412.19140
Autor:
Bolz, Manuel, Bründler, Kevin, Kane, Liam, Patsias, Panagiotis, Tessendorf, Liam, Gogol, Krzysztof, Kim, Taehoon, Tessone, Claudio
Cryptocurrency markets often face manipulation through prevalent pump-and-dump (P&D) schemes, where self-organized Telegram groups, some exceeding two million members, artificially inflate target cryptocurrency prices. These groups sell premium acces
Externí odkaz:
http://arxiv.org/abs/2412.18848
Autor:
Zhou, Huaxia, Sun, Mengyi
Authorship disambiguation is crucial for advancing studies in science of science. However, assessing the quality of authorship disambiguation in large-scale databases remains challenging since it is difficult to manually curate a gold-standard datase
Externí odkaz:
http://arxiv.org/abs/2412.18757
The quality factor ($Q$ factor) of nanomechanical resonators is influenced by geometry and stress, a phenomenon called dissipation dilution. Studies have explored maximizing this effect, leading to softly-clamped resonator designs. This paper propose
Externí odkaz:
http://arxiv.org/abs/2412.18682
Autor:
Sarker, Apurba
Aircraft design optimization traditionally relies on computationally expensive simulation techniques such as Finite Element Method (FEM) and Finite Volume Method (FVM), which, while accurate, can significantly slow down the design iteration process.
Externí odkaz:
http://arxiv.org/abs/2412.18564
This paper provides a normalized field product approach for topology optimization to achieve close-to-binary optimal designs. The method employs a parameter-free density measure that implicitly enforces a minimum length scale on the solid phase, allo
Externí odkaz:
http://arxiv.org/abs/2412.18441