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openalexZenodo (CERN European Organization for Nuclear Research)2026-07-23Cited by 0

Integrating ToF-SIMS and machine learning reveals a mammary tumor-associated multi-ion signature — analysis code

Auraya Manaprasertsak, Wei Tang, Caroline Lööf, Laila Azemovic, Sofie Mohlin, Catharina Hagerling, Kenneth J Pienta, Julhash U. Kazi, Per Malmberg, Emma U. Hammarlund

Analysis code, result tables, and figures for a time-of-flight secondary ion mass spectrometry (ToF-SIMS) machine-learning study of a mammary tumor-associated multi-ion signature and its detectability across biological samples in the MMTV-PyMT mouse model of breast cancer. Accompanies the article by Manaprasertsak et al.

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openalexZenodo (CERN European Organization for Nuclear Research)2026-08-15

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Also available via: European Organization for Nuclear Research

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openalexZenodo (CERN European Organization for Nuclear Research)2026-08-15

Deep Learning for Human Activity Recognition: A Comprehensive Review of Architectures, Performance, and Challenges Across Five Sensory Datasets

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Also available via: European Organization for Nuclear Research

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openalexZenodo (CERN European Organization for Nuclear Research)2026-08-14

Data of the paper: "A probabilistic digital twin framework for corrosion-fatigue prognosis of floating offshore wind turbines"

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These are the data and results reported in the paper "A probabilistic digital twin framework for corrosion-fatigue prognosis of floating offshore wind turbines".

Also available via: European Organization for Nuclear Research

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openalexZenodo (CERN European Organization for Nuclear Research)2026-08-14

Data of the paper: "A probabilistic digital twin framework for corrosion-fatigue prognosis of floating offshore wind turbines"

Yasmin Ali, Ahmed Elgammal, Chengjun Li, Junlin Heng, Kaoshan Dai

These are the data and results reported in the paper "A probabilistic digital twin framework for corrosion-fatigue prognosis of floating offshore wind turbines".

Also available via: European Organization for Nuclear Research

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openalexZenodo (CERN European Organization for Nuclear Research)2026-08-14

Auditable AI Decision Intelligence for Aviation MRO A KPI Governance Architecture

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Aviation Maintenance, Repair and Overhaul (MRO) organizations increasingly possess enterprise resource planning data, inventory records, work-order histories, procurement evidence, quality documentation, finance approvals, and customer commitments, yet many operational decisions…

Also available via: European Organization for Nuclear Research

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openalexZenodo (CERN European Organization for Nuclear Research)2026-08-14

Auditable AI Decision Intelligence for Aviation MRO A KPI Governance Architecture

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