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Showing 7 of 7 academic articles

Hybrid Dynamic Traffic Model for Freeway Flow Analysis Using a Switched Reduced-Order Unknown-Input State Observer

Yuqi Guo, Bin Li, Matthew Daniel Christie, Zongzhi Li et al. • Sensors (2020)

This paper introduces a new methodology for reconstructing vehicle densities of freeway segments by utilizing the limited data collected by traffic-counting sensors and developing a macroscopic traffic stream model formulated as a switched ...

DOAJ Open Access (DOAJ) DOI: 10.3390/s20061609

miRNA-mediated loss of m6A increases nascent translation in glioblastoma.

John P Zepecki, David Karambizi, J Eduardo Fajardo, Kristin M Snyder et al. • PLoS Genetics (2021)

Within the glioblastoma cellular niche, glioma stem cells (GSCs) can give rise to differentiated glioma cells (DGCs) and, when necessary, DGCs can reciprocally give rise to GSCs to maintain the cellular equilibrium necessary for optimal tum...

DOAJ Open Access (DOAJ) DOI: 10.1371/journal.pgen.1009086

Defects in SiC for quantum computing

Justin R. Weber, William F. Koehl, Joel Basile Varley, Anderson Janotti et al. • Journal of Applied Physics (2011)

The successful implementation of the nitrogen-vacancy (NV) center in diamond as a qubit has spawned a great deal of interest in this defect. In principle, similar defects suitable for quantum computing should exist in other material systems...

OPENALEX DOI: https://doi.org/10.1063/1.3578264

PG-MACO Optimization Method for Ship Pipeline Layout

LIN Yan, JIN Tingyu, YANG Yuchao • Shanghai Jiaotong Daxue xuebao (2024)

Aimed at the problem of low efficiency of ship pipeline design, an optimization method of pipeline layout is proposed. An optimization mathematical model is established by comprehensively considering the engineering background of safety, ec...

DOAJ Open Access (DOAJ) DOI: 10.16183/j.cnki.jsjtu.2022.508

Elements of Machine Learning

Pat Langley B (1995)

Elements of Machine Learning by Pat Langley Preface 1. An overview of machine learning 1.1 The science of machine learning 1.2 Nature of the environment 1.3 Nature of representation and performance 1.4 Nature of the learning component 1.5 F...

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Prediction of homologous recombination deficiency from routine histology with attention-based multiple instance learning in nine different tumor types

Chiara Maria Lavinia Loeffler, Omar S. M. El Nahhas, Hannah Sophie Muti, Zunamys I. Carrero et al. • BMC Biology (2024)

Abstract Background Homologous recombination deficiency (HRD) is recognized as a pan-cancer predictive biomarker that potentially indicates who could benefit from treatment with PARP inhibitors (PARPi). Despite its clinical significance, HR...

DOAJ Open Access (DOAJ) DOI: 10.1186/s12915-024-02022-9