Zobrazeno 1 - 10
of 82 604
pro vyhledávání: '"Kim Tae"'
Autor:
Kim Tae-Jin, Tromp Nikolas
Publikováno v:
Logi, Vol 13, Iss 1, Pp 174-185 (2022)
Using input-output analysis, this study investigates the economic impact of the logistics industry and its four sub-sectors: land freight, water freight, air freight and logistics facilities. The inter-industry linkage model shows that land freight a
Externí odkaz:
https://doaj.org/article/a6c96a18574e4b5e9058be22b8d2cd5b
Thanks to unprecedented language understanding and generation capabilities of large language model (LLM), Retrieval-augmented Code Generation (RaCG) has recently been widely utilized among software developers. While this has increased productivity, t
Externí odkaz:
http://arxiv.org/abs/2411.05547
Device-to-device variations in ferroelectric (FE) hafnium oxide-based devices pose a crucial challenge that limits the otherwise promising capabilities of this technology. Earlier simulation-based studies have identified polarization (P) domain nucle
Externí odkaz:
http://arxiv.org/abs/2411.05094
Autor:
Kim, Tae-Geun, Park, Seong Chan
We propose a novel framework based on neural network that reformulates classical mechanics as an operator learning problem. A machine directly maps a potential function to its corresponding trajectory in phase space without solving the Hamilton equat
Externí odkaz:
http://arxiv.org/abs/2410.20951
Autor:
Kim, Sohwi, Kim, Tae-Kyun
Super-resolution methods are increasingly being specialized for both real-world and face-specific tasks. However, many existing approaches rely on simplistic degradation models, which limits their ability to handle complex and unknown degradation pat
Externí odkaz:
http://arxiv.org/abs/2410.07663
Autor:
Kim, Donghwan, Kim, Tae-Kyun
3D human shape reconstruction under severe occlusion due to human-object or human-human interaction is a challenging problem. Parametric models i.e., SMPL(-X), which are based on the statistics across human shapes, can represent whole human body shap
Externí odkaz:
http://arxiv.org/abs/2409.18364
Autor:
Vecchietti, Luiz Felipe, Lee, Minji, Hangeldiyev, Begench, Jung, Hyunkyu, Park, Hahnbeom, Kim, Tae-Kyun, Cha, Meeyoung, Kim, Ho Min
Recent advancements in machine learning (ML) are transforming the field of structural biology. For example, AlphaFold, a groundbreaking neural network for protein structure prediction, has been widely adopted by researchers. The availability of easy-
Externí odkaz:
http://arxiv.org/abs/2409.17726
Estimating the poses of both a hand and an object has become an important area of research due to the growing need for advanced vision computing. The primary challenge involves understanding and reconstructing how hands and objects interact, such as
Externí odkaz:
http://arxiv.org/abs/2409.17629
When developing Computer Aided Detection (CAD) systems for Digital Breast Tomosynthesis (DBT), the complexity arising from the volumetric nature of the modality poses significant technical challenges for obtaining large-scale accurate annotations. Wi
Externí odkaz:
http://arxiv.org/abs/2409.16581
Autor:
Berry, Dominic W., Tong, Yu, Khattar, Tanuj, White, Alec, Kim, Tae In, Boixo, Sergio, Lin, Lin, Lee, Seunghoon, Chan, Garnet Kin-Lic, Babbush, Ryan, Rubin, Nicholas C.
Studies on quantum algorithms for ground state energy estimation often assume perfect ground state preparation; however, in reality the initial state will have imperfect overlap with the true ground state. Here we address that problem in two ways: by
Externí odkaz:
http://arxiv.org/abs/2409.11748