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Found 5 papers, 1 papers with code
Toward end-to-end interpretable convolutional neural networks for waveform signals
This paper introduces a novel convolutional neural networks (CNN) framework tailored for end-to-end audio deep learning models, presenting advancements in efficiency and explainability.
Real-time hybrid controls of energy storage and load shedding for integrated power and energy systems of ships
This paper presents an original energy management methodology to enhance the resilience of ship power systems.
Multi-agent Deep Reinforcement Learning for Distributed Load Restoration
This paper addresses the load restoration problem after power outage events.
A Cyber-HIL for Investigating Control Systems in Ship Cyber Physical Systems under Communication Issues and Cyber Attacks
This paper presents a novel Cyber-Hardware-in-the-Loop (Cyber-HIL) platform for assessing control operation in ship cyber-physical systems.
Superhuman Fairness
The fairness of machine learning-based decisions has become an increasingly important focus in the design of supervised machine learning methods.
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