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agarwalSystematicClassificationNeuralnetworkbased1997
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Notes on Papers
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A Novel Lane Change Decision-Making Model of Autonomous Vehicle Based on Support Vector Machine.md
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A Review of Formal Methods applied to Machine Learning.md
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A systematic classification of neural-network-based control.md
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A Unified View of Piecewise Linear Neural Network Verification.md
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An Abstraction-Refinement Approach to Verification of Artificial Neural Networks.md
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An autonomous control framework for advanced reactors.md
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Automation levels for nuclear reactor operations - A revised perspective.md
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Differential neural networks for robust nonlinear control - identification, state estimation and trajectory tracking.md
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Economics and finance of Small Modular Reactors - A systematic review and research agenda.md
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Effectiveness and efficiency of search methods in systematic reviews of complex evidence - audit of primary sources.md
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Enhancing Cyber-Physical System Dependability via Synthesis - Challenges and Future Directions.md
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Evaluating Robustness of Neural Networks with Mixed Integer Programming.md
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Formal requirements elicitation with FRET.md
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Formal Verification of Avionics Software Products.md
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Formal verification of neural network controlled autonomous systems.md
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Formal Verification of Piece-Wise Linear Feed-Forward Neural Networks.md
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Literature Note.md
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Neural network-based flight control systems - Present and future.md
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Nonlinear Identification and Control.md
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On Using Real-Time Reachability for the Safety Assurance of Machine Learning Controllers.md
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Opportunities and Challenges for Remote Microreactor Operations.md
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Opportunities, Challenges, and Research Needs for Remote Microreactor Operations.md
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Output Range Analysis for Deep Feedforward Neural Networks.md
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Reachability Analysis of Deep Neural Networks with Provable Guarantees.md
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Reluplex - An Efficient SMT Solver for Verifying Deep Neural Networks.md
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Remote nuclear microreactors - a preliminary economic evaluation of digital twins and centralized offsite control.md
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Runtime Safety Assurance Using Reinforcement Learning.md
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Safe Reinforcement Learning via Shielding under Partial Observability.md
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Safe Reinforcement Learning via Shielding.md
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The Past, Present and Future of Cyber-Physical Systems - A Focus on Models.md
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