Zobrazeno 1 - 10
of 858
pro vyhledávání: '"DE, Suvranu"'
Autor:
Raisuddin, Osama Muhammad, De, Suvranu
Quantum computing, leveraging quantum phenomena like superposition and entanglement, is emerging as a transformative force in computing technology, promising unparalleled computational speed and efficiency crucial for engineering applications. This a
Externí odkaz:
http://arxiv.org/abs/2408.13943
Autor:
Sarkar, Subrato, Rahul, Rahul, Majee, Bishnu Pada, Bryce, Keith, Zhang, Lucy, Huang, Liping, Lian, Jie, De, Suvranu
The fracture characteristics of LuPO4 rare-earth phosphate environmental barrier coating (EBC) material under molten calcium-magnesium aluminosilicate (CMAS) corrosion is quantified. EBCs are crucial for protecting SiC-based ceramic matrix composite
Externí odkaz:
http://arxiv.org/abs/2407.01780
Autor:
Ainam, Jean-Paul, Yanik, Erim, Rahul, Rahul, Kunkes, Taylor, Cavuoto, Lora, Clemency, Brian, Tanaka, Kaori, Hackett, Matthew, Norfleet, Jack, De, Suvranu
Endotracheal intubation (ETI) is an emergency procedure performed in civilian and combat casualty care settings to establish an airway. Objective and automated assessment of ETI skills is essential for the training and certification of healthcare pro
Externí odkaz:
http://arxiv.org/abs/2404.11727
Accurate assessment of bimanual motor skills is essential across various professions, yet, traditional methods often rely on subjective assessments or focus solely on motor actions, overlooking the integral role of cognitive processes. This study int
Externí odkaz:
http://arxiv.org/abs/2404.10889
Autor:
Raisuddin, Osama Muhammad, De, Suvranu
Quantum linear system algorithms (QLSAs) can provide exponential speedups for the solution of linear systems, but the growth of the condition number for finite element problems can eliminate the exponential speedup. QLSAs are also incapable of using
Externí odkaz:
http://arxiv.org/abs/2404.07466
Autor:
Raisuddin, Osama Muhammad, De, Suvranu
Quantum linear system algorithms (QLSAs) for gate-based quantum computing can provide exponential speedups for solving linear systems but face challenges when applied to finite element problems due to the growth of the condition number with problem s
Externí odkaz:
http://arxiv.org/abs/2308.01377
Autor:
Yanik, Erim, Schwaitzberg, Steven, Yang, Gene, Intes, Xavier, Norfleet, Jack, Hackett, Matthew, De, Suvranu
Deep Learning (DL) has achieved robust competency assessment in various high-stakes fields. However, the applicability of DL models is often hampered by their substantial data requirements and confinement to specific training domains. This prevents t
Externí odkaz:
http://arxiv.org/abs/2301.00812
Autor:
Lee, Sangrock, Rahul, Lukan, James, Boyko, Tatiana, Zelenova, Kateryna, Makled, Basiel, Parsey, Conner, Norfleet, Jack, De, Suvranu
Identification of burn depth with sufficient accuracy is a challenging problem. This paper presents a deep convolutional neural network to classify burn depth based on altered tissue morphology of burned skin manifested as texture patterns in the ult
Externí odkaz:
http://arxiv.org/abs/2203.15879
To ensure satisfactory clinical outcomes, surgical skill assessment must be objective, time-efficient, and preferentially automated - none of which is currently achievable. Video-based assessment (VBA) is being deployed in intraoperative and simulati
Externí odkaz:
http://arxiv.org/abs/2203.09589
Significance: Optical neuroimaging has become a well-established clinical and research tool to monitor cortical activations in the human brain. It is notable that outcomes of functional Near-InfraRed Spectroscopy (fNIRS) studies depend heavily on the
Externí odkaz:
http://arxiv.org/abs/2201.13371