Hybrid Quantum-MambaVision combines Mamba SSM with a parameterized quantum adapter for improved multi-label classification and calibration on the imbalanced MixedWM38 wafer defect dataset.
Title resolution pending
2 Pith papers cite this work. Polarity classification is still indexing.
2
Pith papers citing it
years
2026 2verdicts
UNVERDICTED 2representative citing papers
An integrated framework using autoencoders, deep reinforcement learning, and LLMs automates risk-based prioritization and contextual analysis of suspicious network traffic within Splunk SOC environments.
citing papers explorer
-
Hybrid Quantum-MambaVision: A Quantum-enhanced State Space Model for Calibrated Mixed-type Wafer Defect Detection
Hybrid Quantum-MambaVision combines Mamba SSM with a parameterized quantum adapter for improved multi-label classification and calibration on the imbalanced MixedWM38 wafer defect dataset.
-
Policy-Guided Threat Hunting: An LLM enabled Framework with Splunk SOC Triage
An integrated framework using autoencoders, deep reinforcement learning, and LLMs automates risk-based prioritization and contextual analysis of suspicious network traffic within Splunk SOC environments.