Zobrazeno 1 - 10
of 11 704
pro vyhledávání: '"P. Jayaraman"'
Autor:
Lisa Gopal, Harbaksh Singh, Panguluri Mounica, N. Mohankumar, Nagendra Panini Challa, P. Jayaraman
Publikováno v:
Measurement: Sensors, Vol 25, Iss , Pp 100661- (2023)
The Digital Twin (DT) method offers new concepts for choosing the context of information technologies and smart production systems. This research focuses on low-price, extremely effective defect diagnosis methods, low-efficiency, high-cost devices to
Externí odkaz:
https://doaj.org/article/5c77d5e087a142958d0682b16b174064
We used TESS observations to search for pulsations in six known Of?p stars in the Magellanic Clouds. We find evidence for pulsational variability in three Of?p stars: UCAC4 115-008604, OGLE SMC-SC6 237339, and AzV 220. Two of them, UCAC4 115-008604 a
Externí odkaz:
http://arxiv.org/abs/2410.08719
Autor:
Le, Long, Xie, Jason, Liang, William, Wang, Hung-Ju, Yang, Yue, Ma, Yecheng Jason, Vedder, Kyle, Krishna, Arjun, Jayaraman, Dinesh, Eaton, Eric
Interactive 3D simulated objects are crucial in AR/VR, animations, and robotics, driving immersive experiences and advanced automation. However, creating these articulated objects requires extensive human effort and expertise, limiting their broader
Externí odkaz:
http://arxiv.org/abs/2410.13882
Autor:
Wu, Sifan, Khasahmadi, Amir, Katz, Mor, Jayaraman, Pradeep Kumar, Pu, Yewen, Willis, Karl, Liu, Bang
Parametric Computer-Aided Design (CAD) is central to contemporary mechanical design. However, it encounters challenges in achieving precise parametric sketch modeling and lacks practical evaluation metrics suitable for mechanical design. We harness t
Externí odkaz:
http://arxiv.org/abs/2409.17457
Tracking controllers enable robotic systems to accurately follow planned reference trajectories. In particular, reinforcement learning (RL) has shown promise in the synthesis of controllers for systems with complex dynamics and modest online compute
Externí odkaz:
http://arxiv.org/abs/2409.11238
In this paper we present a new machine learning workflow with unsupervised learning techniques to identify domains within atomic force microscopy images obtained from polymer films. The goal of the workflow is to identify the spatial location of the
Externí odkaz:
http://arxiv.org/abs/2409.11438
Generative AI has made remarkable progress in addressing various design challenges. One prominent area where generative AI could bring significant value is in engineering design. In particular, selecting an optimal set of components and their interfa
Externí odkaz:
http://arxiv.org/abs/2409.06016
Autor:
Fokoue, Achille, Jayaraman, Srideepika, Khabiri, Elham, Kephart, Jeffrey O., Li, Yingjie, Shah, Dhruv, Drissi, Youssef, Heath III, Fenno F., Bhamidipaty, Anu, Tipu, Fateh A., Baseman, Robert J.
In many industrial settings, users wish to ask questions whose answers may be found in structured data sources such as a spreadsheets, databases, APIs, or combinations thereof. Often, the user doesn't know how to identify or access the right data sou
Externí odkaz:
http://arxiv.org/abs/2409.05735
LLM-based data generation for real-world tabular data can be challenged by the lack of sufficient semantic context in feature names used to describe columns. We hypothesize that enriching prompts with domain-specific insights can improve both the qua
Externí odkaz:
http://arxiv.org/abs/2409.03946
Autor:
Jayaraman, Rahul, Rappaport, Saul, Powell, Brian, Handler, Gerald, Omohundro, Mark, Gagliano, Robert, Kostov, Veselin, Fuller, Jim, Kurtz, Donald, Zhang, Valencia, Ricker, George
The Transiting Exoplanet Survey Satellite (TESS) has enabled the discovery of numerous tidally tilted pulsators (TTPs), which are pulsating stars in close binaries where the presence of a tidal bulge has the effect of tilting the primary star's pulsa
Externí odkaz:
http://arxiv.org/abs/2409.03815