Sahil

AERAS: Adaptive AI-Driven Resource Allocation for Mission-Critical Tactical Edge Computing

Mission-critical tactical edge systems require re-source allocation that maintains low latency, energy efficiency and SLA compliance under bursty workloads and heteroge-neous nodes. This paper presents AERAS (Adaptive Attention-Enhanced Reinforcement Allocation System), which combines GRU-based workload forecasting, at...

3D-printed PEEK/BN nanocomposites with enhanced thermal and mechanical performance for advanced chip packaging

QureRadEmbed: Structuring Radiological Similarity through Attribute and Reasoning Supervision

QureRadEmbed is introduced, a 4B radiology-aware encoder trained with two complementary signals: RadSim supplies deterministic, attribute-decomposed ranking targets, while RadThought aligns reports with hierarchical evidence and reasoning descriptions, which support reusable radiology-aware representations for search,...

Med-AR: Autoregressive Vision-Language Pretraining for Long-Tailed Chest X-Ray Classification and Uncertainty-Aware Evaluation

Findings establish Med-AR as a strong pretraining recipe for long-tailed chest X-ray classification on the evaluated public benchmarks and demonstrate the value of assessing discrimination and selective prediction together.