High-severity traffic accidents impose substantial human and economic burdens, necessitating proactive and data-driven risk forecasting mechanisms within intelligent transportation systems. This study proposed TRIDENT-Risk, a temporal risk-driven imbalance-optimized ensemble framework for high-severity accident predict...
Sanchit Vashisht, S. Rani, Fazlullah Khan· PLoS ONE· 0 citations
Digital Twins (DTs) are emerging as foundational components of next-generation communication systems, offering real-time synchronization, predictive modeling, and autonomous control across consumer electronics. However, their integration with AI/ML, edge–cloud infrastructures, and 5G/6G networks significantly enlarges...
Sanchit Vashisht, S. Rani· IEEE Communications Standard...· 1 citation
A stacked ensemble ML model combining Random Forest and Logistic Regression and Logistic Regression as a meta-classifier, while Extreme Gradient Boosting as a meta-classifier is proposed in this study to improve software system cyberattack detection.
Anshika Sharma, S. Rani· SN Computer Science· 0 citations
A framework based on GTGO to jointly offload, schedule and allocate resources to different tasks and augment it with an integrated explainable AI (XAI) module is presented, indicating that the suggested framework is an effective, efficient, and transparent resource management solution in intelligent vehicular edge comp...
Aditi Moudgil, S. Rani, Fazlullah Khan· PLoS ONE· 0 citations
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