The localization problem is fundamentally important for sensor networks.This paper, based on "Estimation bounds for localization" by the authors (2004 © IEEE), studies the Cramér-Rao lower bound (CRB) for two kinds of localization based on noisy range measurements.The first is anchored localization in which the estimated positions of at 8
Bridelia ferruginea phytocompounds interact with SARS-COV-2 drug targets: Experimental validation of corilagin contribution
The high mutation rate of SARS-CoV-2 genomic RNA has made COVID-19 more difficult to eradicate using currently available interventions.Hence, newer pharmaceutical strategies must be developed, especially those generally complementary and alternative medicines.In the current study, stem bark of Bridelia Bar Speed Rails ferruginea Benth is presented
LIGHT SHEET FLUORESCENCE MICROSCOPY COMBINED WITH OPTICAL CLEARING METHODS AS A NOVEL IMAGING TOOL IN BIOMEDICAL RESEARCH
In the past decade, imaging TAMP-SUPER PLUS has advanced to become a crucial tool in fundamental and biomedical research and it has become increasingly important to be able to image whole organs with single cell resolution.Light sheet fluorescence microscopy, also called selective plane illumination microscopy or ultramicroscopy, provides a high re
Research on agricultural IoT pest and disease image recognition algorithm based on STM32
In modern agriculture IoT systems, edge computing is an indispensable component.In this context, it is feasible to deploy lightweight pest and disease image recognition tasks on edge devices.However, due to the constraints of device computation and storage capabilities, this task TAMP-SUPER PLUS faces significant challenges.To address these challen