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Akademický článek

R-CNN and YOLOV4 based Deep Learning Model for intelligent detection of weaponries in real time video

Autor: K.P. Vijayakumar, K. Pradeep, A. Balasundaram, A. Dhande

Publikováno v: Mathematical Biosciences and Engineering, Vol 20, Iss 12, Pp 21611-21625 (2023)

The security of civilians and high-profile officials is of the utmost importance and is often challenging during continuous surveillance carried out by security professionals. Humans have limitations like attention span, distraction, and memory of ev

Externí odkaz: https://doaj.org/article/7181d12692d64942b4a4570a2580a5f4

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Cooptimizing Safety and Performance with a Control-Constrained Formulation

Autor: Wang, Hao, Dhande, Adityaya, Bansal, Somil

Autonomous systems have witnessed a rapid increase in their capabilities, but it remains a challenge for them to perform tasks both effectively and safely. The fact that performance and safety can sometimes be competing objectives renders the cooptim

Externí odkaz: http://arxiv.org/abs/2409.06696

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Akademický článek

Severity of diastolic dysfunction predicts myocardial infarction

Autor: Tanmay A. Gokhale, Mehak Dhande, Suresh Mulukutla, Oscar C. Marroquin, Floyd Thoma, Aditya Bhonsale, Krishna Kancharla, Andrew Voigt, Alaa A. Shalaby, N.A. Mark Estes, III, Sandeep K. Jain, Samir Saba

Publikováno v: International Journal of Cardiology: Heart & Vasculature, Vol 55, Iss , Pp 101532- (2024)

Background: Diastolic dysfunction (DD) is known to be a predictor of mortality. However, the impact of DD on the risk for myocardial infarction (MI) is not well defined. We sought to examine whether DD is an independent predictor of risk of MI in pat

Externí odkaz: https://doaj.org/article/ea477e6598774215b362d12b34ef816f

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