6 papers
Hybrid ML-RL Approach for Smart Grid Stability Prediction and Optimized Control Strategy
Kazi Sifatul Islam, Anandi Dutta, Shivani Mruthyunjaya
Electrical grids are now much more complex due to the rapid integration of distributed generation and alternative energy sources, which makes forecasting grid stability with optimi…
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…
A Review on Influx of Bio-Inspired Algorithms: Critique and Improvement Needs
Shriyank Somvanshi, Md Monzurul Islam, Syed Aaqib Javed +6
Bio-inspired algorithms utilize natural processes such as evolution, swarm behavior, foraging, and plant growth to solve complex, nonlinear, high-dimensional optimization problems.…
Applying MambaAttention, TabPFN, and TabTransformers to Classify SAE Automation Levels in Crashes
Shriyank Somvanshi, Anannya Ghosh Tusti, Mahmuda Sultana Mimi +4
The increasing presence of automated vehicles (AVs) presents new challenges for crash classification and safety analysis. Accurately identifying the SAE automation level involved i…
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…
Driving Education Advancements of Novice Drivers: A Systematic Literature Review
Anannya Ghosh Tusti, Anandi K Dutta, Syed Aaqib Javed +1
Most novice drivers are teenagers since many individuals begin their driving journey during adolescence. Novice driver crashes remain a leading cause of death among adolescents, un…