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Ashwin Dobariya on Muck Rack

Ashwin Dobariya

As seen in: Nature
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Articles

AI-based novel hybrid approach for stress severity detection using cascaded CNN and threshold-optimized random forests

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By Zankhana Bhatt, Ashwin Dobariya, Pradeepta Kumar Sarangi, Christo Ananth, P. Thenmozhi, Simrandeep Singh, Yohanis Dabesa Jelila
| Nature Verified
Abstract Stress onset helps prevent chronic illnesses, strengthens individuals intellectually, and improves quality of life. Numerous studies have examined computerised stress prediction. However, current research does not provide any comprehensive or universal techniques for early intervention and tailored wellbeing. This research presents a unique stress detection approach using ML and DL.
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Enhancing prediction accuracy for Parkinson’s disease using advanced machine learning models

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By Monica Dutta, Sunil Lavadiya, Samah Alshathri, Walid El-Shafai, Pradeepta Kumar Sarangi, Rajnish Srivastava, Ashwin Dobariya, Subhanshu Goyal
| Nature Verified
Abstract Globally, Parkinson’s disease (PD), a neurological disorder, has a negative influence on the health of older adults. PD has no validated means of treatment, and thus, affects both social (i.e., mental) and physical health among individuals who experience PD. Therefore, it is essential to develop new methods for detecting PD to benefit the health of everyone involved.
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