5 citations · 9 across the 10 of their papers we have counts for
10 papers
Building Trustworthy Mental Health Benchmarks on Bluesky: A Validation-Aware Weak-Supervision Framework
Gaurab Chhetri, Anandi Dutta, Subasish Das
Decentralized social media platforms create new opportunities and challenges for computational mental health research because data access, moderation, labeling, and deployment resp…
Characterizing and Predicting Wildfire Evacuation Behavior: A Dual-Stage ML Approach
Sazzad Bin Bashar Polock, Anandi Dutta, Subasish Das
Wildfire evacuation behavior is highly variable and influenced by complex interactions among household resources, preparedness, and situational cues. Using a large-scale MTurk surv…
CognitiveSky: Scalable Sentiment and Narrative Analysis for Decentralized Social Media
Gaurab Chhetri, Anandi Dutta, Subasish Das
The emergence of decentralized social media platforms presents new opportunities and challenges for real-time analysis of public discourse. This study introduces CognitiveSky, an o…
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…
Advancing Intelligent Sequence Modeling: Evolution, Trade-offs, and Applications of State-Space Architectures from S4 to Mamba
Shriyank Somvanshi, Md Monzurul Islam, Mahmuda Sultana Mimi +5
Structured State Space Models (SSMs) have become a prominent class of sequence models, developed against two long-standing difficulties: the sequential computation and gradient pro…
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…