Zobrazeno 1 - 10
of 9 959
pro vyhledávání: '"P. Shinde"'
Publikováno v:
Journal of Applied Fluid Mechanics, Vol 16, Iss 2, Pp 299-310 (2022)
The land needed to install wind turbines is shrinking as power generation from renewable energy sources increases significantly. A large number of studies are being conducted to maximize the power extraction from wind turbines in areas with low wind
Externí odkaz:
https://doaj.org/article/3a490e2739304ff98a169519f14c6c76
Autor:
Shinde, Rajat, Phillips, Christopher E., Ankur, Kumar, Gupta, Aman, Pfreundschuh, Simon, Roy, Sujit, Kirkland, Sheyenne, Gaur, Vishal, Lin, Amy, Sheshadri, Aditi, Nair, Udaysankar, Maskey, Manil, Ramachandran, Rahul
High-quality machine learning (ML)-ready datasets play a foundational role in developing new artificial intelligence (AI) models or fine-tuning existing models for scientific applications such as weather and climate analysis. Unfortunately, despite t
Externí odkaz:
http://arxiv.org/abs/2412.02780
Infrastructure construction, often dubbed an "industry of industries," is closely linked with government spending and public procurement, offering significant opportunities for improved efficiency and productivity through better transparency and info
Externí odkaz:
http://arxiv.org/abs/2412.00224
Autor:
Shinde, Nimita, Zhu, Yanan, Wang, Wei, Li, Wangyao, Lin, Yuting, Gan, Gregory N, Lominska, Christopher, Rotondo, Ronny, Chen, Ronald C, Gao, Hao
Objective: Proton spot-scanning arc therapy (ARC) is an emerging modality that can improve the high-dose conformity to targets compared with standard intensity-modulated proton therapy (IMPT). However, the efficient treatment delivery of ARC is chall
Externí odkaz:
http://arxiv.org/abs/2411.17578
Safety Verification for Evasive Collision Avoidance in Autonomous Vehicles with Enhanced Resolutions
Autor:
Arab, Aliasghar, Khaleghi, Milad, Partovi, Alireza, Abbaspour, Alireza, Shinde, Chaitanya, Mousavi, Yashar, Azimi, Vahid, Karimmoddini, Ali
This paper presents a comprehensive hazard analysis, risk assessment, and loss evaluation for an Evasive Minimum Risk Maneuvering (EMRM) system designed for autonomous vehicles. The EMRM system is engineered to enhance collision avoidance and mitigat
Externí odkaz:
http://arxiv.org/abs/2411.02706
Autor:
Restori, N., Blind, N., Kühn, J., Chazelas, B., Lovis, C., Mordasini, C., Shinde, M., Martinez, P., Guyon, O.
The objective of the coronagraphic IFU of RISTRETTO is to enable High Dispersion Coronagraphy of planets at a distance of 2$\lambda$/D from their star, without compromising on transmission. The new idea of a PIAA Nuller (PIAAN) allows contrast down t
Externí odkaz:
http://arxiv.org/abs/2411.00486
The rapid expansion of records creates significant challenges in management, including retention and disposition, appraisal, and organization. Our study underscores the benefits of integrating artificial intelligence (AI) within the broad realm of ar
Externí odkaz:
http://arxiv.org/abs/2410.09086
TEE implementations on RISC-V offer an enclave abstraction by introducing a trusted component called the security monitor (SM). The SM performs critical tasks such as isolating enclaves from each other as well as from the OS by using privileged ISA i
Externí odkaz:
http://arxiv.org/abs/2410.03653
Surgical automation has the capability to improve the consistency of patient outcomes and broaden access to advanced surgical care in underprivileged communities. Shared autonomy, where the robot automates routine subtasks while the surgeon retains p
Externí odkaz:
http://arxiv.org/abs/2409.14287
Autor:
Schmude, Johannes, Roy, Sujit, Trojak, Will, Jakubik, Johannes, Civitarese, Daniel Salles, Singh, Shraddha, Kuehnert, Julian, Ankur, Kumar, Gupta, Aman, Phillips, Christopher E, Kienzler, Romeo, Szwarcman, Daniela, Gaur, Vishal, Shinde, Rajat, Lal, Rohit, Da Silva, Arlindo, Diaz, Jorge Luis Guevara, Jones, Anne, Pfreundschuh, Simon, Lin, Amy, Sheshadri, Aditi, Nair, Udaysankar, Anantharaj, Valentine, Hamann, Hendrik, Watson, Campbell, Maskey, Manil, Lee, Tsengdar J, Moreno, Juan Bernabe, Ramachandran, Rahul
Triggered by the realization that AI emulators can rival the performance of traditional numerical weather prediction models running on HPC systems, there is now an increasing number of large AI models that address use cases such as forecasting, downs
Externí odkaz:
http://arxiv.org/abs/2409.13598