Zobrazeno 1 - 10
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pro vyhledávání: '"Nguyen, Hieu T."'
We introduce HouseCrafter, a novel approach that can lift a floorplan into a complete large 3D indoor scene (e.g., a house). Our key insight is to adapt a 2D diffusion model, which is trained on web-scale images, to generate consistent multi-view col
Externí odkaz:
http://arxiv.org/abs/2406.20077
Autor:
Tran, Huynh T. T., Nguyen, Hieu T.
Publikováno v:
The 2024 Conference on Innovative Smart Grid Technologies, North America (ISGT NA 2024)
In recent years, scientific machine learning, particularly physic-informed neural networks (PINNs), has introduced new innovative methods to understanding the differential equations that describe power system dynamics, providing a more efficient alte
Externí odkaz:
http://arxiv.org/abs/2311.06580
Autor:
Le, Tuyen P., Nguyen, Hieu T., Baek, Seungyeol, Kim, Taeyoun, Lee, Jungwoo, Kim, Seongjung, Kim, Hyunjin, Jung, Misu, Kim, Daehoon, Lee, Seokyong, Choi, Daewoo
Macro placement is a critical phase in chip design, which becomes more intricate when involving general rectilinear macros and layout areas. Furthermore, macro placement that incorporates human-like constraints, such as design hierarchy and periphera
Externí odkaz:
http://arxiv.org/abs/2311.03383
Navigating in unseen environments is crucial for mobile robots. Enhancing them with the ability to follow instructions in natural language will further improve navigation efficiency in unseen cases. However, state-of-the-art (SOTA) vision-and-languag
Externí odkaz:
http://arxiv.org/abs/2310.10822
Publikováno v:
Energy Conversion and Economics, Volume 5, Issue 1, Feb 2024, pages 40-53
Power system dynamics are generally modeled by high dimensional nonlinear differential-algebraic equations (DAEs) given a large number of components forming the network. These DAEs' complexity can grow exponentially due to the increasing penetration
Externí odkaz:
http://arxiv.org/abs/2306.01961
We conducted a prospective study to measure the clinical impact of an explainable machine learning system on interobserver agreement in chest radiograph interpretation. The AI system, which we call as it VinDr-CXR when used as a diagnosis-supporting
Externí odkaz:
http://arxiv.org/abs/2304.01220
The trajectory planning problem for a swarm of multiple UAVs is known as a challenging nonconvex optimization problem, particularly due to a large number of collision avoidance constraints required for individual pairs of UAVs in the swarm. In this p
Externí odkaz:
http://arxiv.org/abs/2303.07581
Given the high power density low discharge rate and decreasing cost rechargeable lithium-ion batteries LiBs have found a wide range of applications such as power grid level storage systems electric vehicles and mobile devices. Developing a framework
Externí odkaz:
http://arxiv.org/abs/2302.02547
During the COVID-19 pandemic, the U.S. power sector witnessed remarkable electricity demand changes in many geographical regions. these changes were evident in population-dense cities. This paper incorporates a techno-economic analysis of energy stor
Externí odkaz:
http://arxiv.org/abs/2301.06268
Recent artificial intelligence (AI) algorithms have achieved radiologist-level performance on various medical classification tasks. However, only a few studies addressed the localization of abnormal findings from CXR scans, which is essential in expl
Externí odkaz:
http://arxiv.org/abs/2208.03545