Dipayan Saha
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View article: LLM for SoC Security: A Paradigm Shift
LLM for SoC Security: A Paradigm Shift Open
As the ubiquity and complexity of system-on-chip (SoC) designs increase across electronic devices, incorporating security into an SoC design flow poses significant challenges. Existing security solutions are inadequate to effectively verif…
View article: Assessment of Current Downtime Analysis
Assessment of Current Downtime Analysis Open
The approach used to calculate downtime for complicated projects is consistent with the literature: simulation. Researchers evaluate current downtime study on Shipping Corporation in this report. As a result, the existing approach for dete…
View article: Prediction of instantaneous likeability of advertisements using deep learning
Prediction of instantaneous likeability of advertisements using deep learning Open
The degree to which advertisements are successful is of prime concern for vendors in highly competitive global markets. Given the astounding growth of multimedia content on the internet, online marketing has become another form of advertis…
View article: CovMUNET: A Multiple Loss Approach towards Detection of COVID-19 from Chest X-ray
CovMUNET: A Multiple Loss Approach towards Detection of COVID-19 from Chest X-ray Open
The recent outbreak of COVID-19 has halted the whole world, bringing a devastating effect on public health, global economy, and educational systems. As the vaccine of the virus is still not available, the most effective way to combat the v…
View article: Comprehensive NILM Framework: Device Type Classification and Device Activity Status Monitoring Using Capsule Network
Comprehensive NILM Framework: Device Type Classification and Device Activity Status Monitoring Using Capsule Network Open
Non-intrusive load monitoring (NILM) discerns the individual electrical appliances of a residential or commercial building by disaggregating the accumulated energy consumption data without accessing to the individual components applying a …
View article: A Variational Step for Reduction of Mixed Gaussian-Impulse Noise from Images
A Variational Step for Reduction of Mixed Gaussian-Impulse Noise from Images Open
Reduction of mixed noise is an ill posed problem for the occurrence of contrasting distributions of noise in the image. The mixed noise that is usually encountered is the simultaneous presence of additive white Gaussian noise (AWGN) and im…