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Asset Management

Asset management in ML is a discipline that offers engineers the necessary management support for processes and operations on different types of ML assets.

Papers

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Showing 21–30 of 87 papers

TitleStatusHype
A deep adversarial approach based on multi-sensor fusion for remaining useful life prognostics—0
Cost-informed dimensionality reduction for structural digital twin technologies—0
CrosswalkNet: An Optimized Deep Learning Framework for Pedestrian Crosswalk Detection in Aerial Images with High-Performance Computing—0
Cyberphysical Sequencing for Distributed Asset Management with Broad Traceability—0
Data Fusion and Machine Learning Integration for Transformer Loss of Life Estimation—0
Deep Learning Framework for Infrastructure Maintenance: Crack Detection and High-Resolution Imaging of Infrastructure Surfaces—0
Degradation-Aware Microgrid Optimal Planning: Integrating Dynamic Energy Efficiencies and Second-Life Battery Potential—0
A General Framework on Enhancing Portfolio Management with Reinforcement Learning—0
Dynamic portfolio strategy using clustering approach—0
Climate Physical Risk Assessment in Asset Management—0
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