1 citations · 2 across the 4 of their papers we have counts for
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From Tiny Machine Learning to Tiny Deep Learning: A Survey
Shriyank Somvanshi, Md Monzurul Islam, Gaurab Chhetri +8
The rapid growth of edge devices has driven the demand for deploying artificial intelligence (AI) at the edge, giving rise to Tiny Machine Learning (TinyML) and its evolving counte…
Crash Severity Analysis of Child Bicyclists using Arm-Net and MambaNet
Shriyank Somvanshi, Rohit Chakraborty, Subasish Das +1
Child bicyclists (14 years and younger) are among the most vulnerable road users, often experiencing severe injuries or fatalities in crashes. This study analyzed 2,394 child bicyc…
Applying Tabular Deep Learning Models to Estimate Crash Injury Types of Young Motorcyclists
Shriyank Somvanshi, Anannya Ghosh Tusti, Rohit Chakraborty +1
Young motorcyclists, particularly those aged 15 to 24 years old, face a heightened risk of severe crashes due to factors such as speeding, traffic violations, and helmet usage. Thi…