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Showing 5 of 25 academic articles

Motion-Compensated PET Image Reconstruction via Separable Parabolic Surrogates

Nicholas E. Protonotarios, George A. Kastis, Andreas D. Fotopoulos, Andreas G. Tzakos et al. • Mathematics (2022)

The effective resolution of positron emission tomography (PET) can be significantly degraded by patient motion during data acquisition. This is especially true in the thorax due to respiratory motion. This study concentrates on the improvem...

DOAJ Open Access (DOAJ) DOI: 10.3390/math11010055

Proposing New Data Whitening Method through Application of LSTM Method for Fault Condition Prediction in Bearing Data

Nasrin Rezaei, Andreas Rehkopf • Advances in Engineering and Intelligence Systems (2026)

In the context of big data, data preprocessing, especially data whitening, plays a pivotal role in improving the effectiveness of AI models. While traditional whitening methods suffer from severe computational bottlenecks, arising from the ...

DOAJ Open Access (DOAJ) DOI: 10.22034/aeis.2026.575941.1510

Structured Learning and Prediction in Computer Vision

Sebastian Nowozin, Christoph H. Lampert • Foundations and Trends® in Computer Graphics and Vision (2011)

Powerful statistical models that can be learned efficiently from large amounts of data are currently revolutionizing computer vision. These models possess a rich internal structure reflecting task-specific relations and constraints. This mo...

OPENALEX DOI: https://doi.org/10.1561/0600000033

Bayesian machine learning-based method for prediction of slope failure time

Jie Zhang, Zipeng Wang, Jinzheng Hu, Shihao Xiao et al. • Journal of Rock Mechanics and Geotechnical Engineering (2022)

The data-driven phenomenological models based on deformation measurements have been widely utilized to predict the slope failure time (SFT). The observational and model uncertainties could lead the predicted SFT calculated from the phenomen...

DOAJ Open Access (DOAJ) DOI: 10.1016/j.jrmge.2021.09.010