Algorithm Development
Improving Shape Awareness and Interpretability in Deep Networks
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Cyber Risk Loss Distribution Model of Client-Server Networks
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Functional Power Flow: A Matrix-free Non-iterative Method for Radial Networks with ZIP loads
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Independent Audit and Assessment Framework for AI Systems
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Maximum Power Point Tracking through Load Management
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Improved Mapping of Computational Loops on Reconfigurable Architectures
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Optimizing Solar Power using Array Topology Reconfiguration and Deep Neural Network
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Algorithm for Maximum Power Point Tracking through Load Management
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Learning Sparse Features for Self-Supervised Learning with Contrastive Dual Gating
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Dynamic and Efficient Hardware/Software Codesigns of Deep Learning Accelerators
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