3 citations · 6 across the 4 of their papers we have counts for
4 papers
Quantitative Dried droplet Morphology and Image Analysis for Screening Adulteration in Milk
Neha Gautam, Sumita Mondal, Debanjan Das +1
Adulteration of milk with water, urea, calcium compounds and starch is still a widespread food safety problem, especially in areas where there is no access to laboratory based chem…
Advancing Smart Malnutrition Monitoring: A Multi-Modal Learning Approach for Vital Health Parameter Estimation
Ashish Marisetty, Prathistith Raj M, Praneeth Nemani +2
Malnutrition poses a significant threat to global health, resulting from an inadequate intake of essential nutrients that adversely impacts vital organs and overall bodily function…
iThing: Designing Next-Generation Things with Battery Health Self-Monitoring Capabilities for Sustainable IoT in Smart Cities
Aparna Sinha, Debanjan Das, Venkanna Udutalapally +2
An accurate and reliable technique for predicting Remaining Useful Life (RUL) for battery cells proves helpful in battery-operated IoT devices, especially in remotely operated sens…
CoviLearn: A Machine Learning Integrated Smart X-Ray Device in Healthcare Cyber-Physical System for Automatic Initial Screening of COVID-19
Debanjan Das, Chirag Samal, Deewanshu Ukey +2
The pandemic of novel Coronavirus Disease 2019 (COVID-19) is widespread all over the world causing serious health problems as well as serious impact on the global economy. Reliable…