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Machine learning algorithms

Estimating aman and aus rice area in Bangladesh using sentinel-1 imagery and machine learning algorithms

H. M. Hamidur Rahman, Hasan Mahmud, Md Mahfuzul Hasan, S. G. Hussain

published 18 Sep 2026

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Classification of recurrence status after surgical treatment of chronic subdural hemorrhage – A machine learning approach

Hussam Hamou, Julius Kernbach, Hani Ridwan, Kimberley Fay-Rodrian, Hans Clusmann, Anke Hoellig, Michael Veldeman

published 18 Sep 2026

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Character level attention siamese networks for Chinese handwriting comparison

Li Zhu, Long Tang, Huaqing Mao

published 17 Sep 2026

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Real-time gesture mapping system for a 15-DOF palm-scale bionic manipulator

Qunting Chen, Xinhui Chen, Geng Chen

published 16 Sep 2026

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A model carbonized papyrus scroll opens a novel path to identifying readable scrolls of the Herculaneum Library

Douglas Seiler, Jacob Michael LaManna, Michael McOsker, David Kreimer, Michael Cyrus Daugherty, Jens Dopke

published 16 Sep 2026

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Machine learning-supported identification of necrosis in colorectal and pancreatic cancer spheroids

Miguel Martínez Lozano, Heinz D. Wanzenboeck, Sonia Prado-López

published 15 Sep 2026

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QShield-ZTN: A quantum-resilient, standards-compliant secure orchestration model for autonomous 6G zero-touch networks

Sulaiman Alamro

published 15 Sep 2026

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Online physician recommendation with dynamic capacity and semantic similarity: A primal-dual optimization framework

Yan Qiu, Yi Chen, Yinghong Xie, Min Li, Junhui Yan, Hu Liu

published 15 Sep 2026

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A lightweight blockchain-inspired hybrid intrusion detection system with ensemble learning for tamper-proof auditing

Shailendra Mishra, Reem Alshenaifi, Ruba Ahmed Alfahidah

published 11 Sep 2026

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A bioinformatic single-cell and structure-informed framework identifies a baicalin–CA2–keratinocyte state axis in atopic dermatitis

Boyan Yang, Guilin Zhou, Jun Dai

published 11 Sep 2026

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Application of machine learning in predicting of MB2 canal in permanent maxillary first and second molars: A CBCT study

Ranjdar Mahmood Talabani

published 09 Sep 2026

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Prediction model for compressive strength of alkali-activated multi-source solid-waste grouting materials based on generative adversarial networks and machine learning

Qiang Yue, Guangming Yu, Yong Yao, Zhiqi Yang, Yufeng Li, Liyang Bai, Guangwei Xiong

published 08 Sep 2026

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Forecasting alcohol lapse risk up to two weeks in advance using time-lagged machine learning models

Kendra Wyant, Gaylen E. Fronk, Jiachen Yu, Claire E. Punturieri, John J. Curtin

published 08 Sep 2026

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