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   Articles with "assisted framework" as a keyword



Toward an artificial intelligence‐assisted framework for reconstructing the digital twin of vertebra and predicting its fracture response

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recommendations! Published in 2022 at "International Journal for Numerical Methods in Biomedical Engineering"

DOI: 10.1002/cnm.3601

Abstract: This article presents an effort toward building an artificial intelligence (AI) assisted framework, coined ReconGAN, for creating a realistic digital twin of the human vertebra and predicting the risk of vertebral fracture (VF). ReconGAN consists… read more here.

Keywords: intelligence assisted; assisted framework; artificial intelligence; model ... See more keywords

A GeOBIA-assisted framework for canopy height estimation using airborne lidar scanning: a city-scale approach

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recommendations! Published in 2025 at "Geocarto International"

DOI: 10.1080/10106049.2025.2515270

Abstract: Abstract Airborne LiDAR scanning (ALS) provides a platform to remotely sense large areas of standing trees in a short period. Generally, scanning systems are mounted to fixed-wing aircraft with a nadir orientation that permits either… read more here.

Keywords: airborne lidar; lidar scanning; geobia assisted; framework canopy ... See more keywords

An AI-Assisted Framework for Lifecycle Management of Beyond 5G Services

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recommendations! Published in 2024 at "IEEE Access"

DOI: 10.1109/access.2024.3507359

Abstract: Future mobile communication networks aim to offer services and applications in the most flexible, adaptable and cost-effective manner. B5G networks aim at a fully softwarized network architecture, where hardware and software programming is used for… read more here.

Keywords: lifecycle management; management beyond; framework lifecycle; management ... See more keywords

A Fast and Generalizable ML-Assisted Framework for Full-Wave Inverse Scattering

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recommendations! Published in 2025 at "IEEE Transactions on Antennas and Propagation"

DOI: 10.1109/tap.2025.3577780

Abstract: This article proposes a novel machine learning (ML)-assisted framework for solving full-wave inverse scattering problems (ISPs) in inhomogeneous, high-contrast media. Traditional deterministic algorithms used to solve such ISPs face significant challenges due to their high… read more here.

Keywords: full wave; inverse scattering; framework; wave inverse ... See more keywords