IEEE

BLTOO-MFFL: Automated and Adversarially Robust Deep Learning for SAR Image Classification by Bi-Level Three-Objective Optimization and Multi-Feature Fusion Loss

Abstract: The deep learning-based synthetic aperture radar (SAR) image classification model is vulnerable to adversarial attacks. Although automated deep learning (ADL) including neural architecture ...

Defence conclave lays emphasis on importance of integrated warfighting in future conflicts

"The conclave was focused on deepening intra-service and inter-service interactions at the operational level of warfare, with ...
National Academies of Sciences%2c Engineering%2c and Medicine

Key Non-Polar Destinations Across the Moon to Address Decadal-level Science Objectives with Human Explorers: Panel on Human and Biological Science

As one of four panels that will provide input to the steering committee of "Key Non-Polar Destinations Across the Moon to Address Decadal-level Science Objectives with Human Explorers," the Panel on ...
IEEE

Operator-in-the-Loop Multi-Objective Scheduling of Multi-Energy Microgrids via LLM-Guided Reinforcement Learning

Abstract: Operating multi-energy microgrids (MEMGs) under uncertain generation and load conditions requires adaptive strategies to balance competing objectives. Traditional multi-objective ...