Publications by authors named "Resul Das"
In Internet of Things-based smart grids, smart meters record and report a massive number of power consumption data at certain intervals to the data center of the utility for load monitoring and energy management. Energy theft is a big problem for smart meters and causes non-technical losses. Energy theft attacks can be launched by malicious consumers by compromising the smart meters to report manipulated consumption data for less billing.
View Article and Find Full Text PDFA geometric deep learning model for display and prediction of potential drug-virus interactions against SARS-CoV-2.
Chemometr Intell Lab Syst
October 2022
Article Synopsis
- The Omicron variant of coronavirus spread quickly but became less lethal due to vaccines and immunity, reducing hospitalizations and demand.
- There is uncertainty about the future dangers of new variants and ongoing risks from animal reservoirs, highlighting the need for research on drug-virus interactions to prepare for potential threats.
- A study proposes using geometric deep learning to predict drug-virus interactions, utilizing advanced data representation techniques, resulting in a model that achieves 97% accuracy, outperforming existing prediction methods.
Diagnosis of valvular heart disease through neural networks ensembles.
Comput Methods Programs Biomed
February 2009
In the last decades, several tools and various methodologies have been proposed by the researchers for developing effective medical decision support systems. Moreover, new methodologies and new tools are continued to develop and represent day by day. Diagnosing of the valvular heart disease is one of the important issue and many researchers investigated to develop intelligent medical decision support systems to improve the ability of the physicians.
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