Enhancing Manufacturing Precision: Leveraging Motor Currents Data of Computer Numerical Control Machines for Geometrical Accuracy Prediction Through Machine Learning by Lucijano Berus, Jernej Hernavs, David Potocnik, Kristijan Sket, Mirko Ficko

Subjects: “…smart production machines…”
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Vertical two-phase flow regimes in an annulus image dataset - Texas A&M universityMendeley Data by Kaushik Manikonda, Chinemerem Obi, Aarya Abhay Brahmane, Mohammad Azizur Rahman, Abu Rashid Hasan

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Risk Prediction of Liver Injury in Pediatric Tuberculosis Treatment: Development of an Automated Machine Learning Model by Zeng Y, Lu H, Li S, Shi QZ, Liu L, Gong YQ, Yan P

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High-Performance Digital Devices Design by the ASMD-FSMD Technique for Implementation in FPGA by Valery Salauyou, Adam Klimowicz, Tomasz Grzes

Subjects: “…algorithmic state machine with datapath…”
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The analysis of promising directions for creation of domestic component base of volumetric rotary machines for low power energy, refrigeration and climate technology by V. L. Yusha, A. Yu. Gromov, Yu. A. Potapov

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Machine classification of code signals in electric train warning systems by I. V. Prisukhina, D. V. Borisenko

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Utilizing machine-learning techniques on MRI radiomics to identify primary tumors in brain metastases by W. L. Yang, W. L. Yang, X. R. Su, S. Li, K. Y. Zhao, Q. Yue

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Deep Q-Networks for Minimizing Total Tardiness on a Single Machine by Kuan Wei Huang, Bertrand M. T. Lin

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Innovación en sueño by Laura Vigil, Toni Zapata, Andrea Grau, Marta Bonet, Montserrat Montaña, María Piñar

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Science Through Machine Learning: Quantification of Post‐Storm Thermospheric Cooling by Richard J. Licata, Piyush M. Mehta, Daniel R. Weimer, Douglas P. Drob, W. Kent Tobiska, Jean Yoshii

Subjects: “…machine learning…”
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From Continent to Ocean: Investigating the Multi-Element and Precious Metal Geochemistry of the Paraná-Etendeka Large Igneous Province Using Machine Learning Tools by J. J. Lindsay, H. S. R. Hughes, C. M. Yeomans, J. C. Ø. Andersen, I. McDonald

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Neural network potentials for exploring condensed phase chemical reactivity by Gomez, Axel, de la Puente, Miguel, David, Rolf, Laage, Damien

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Applications of Artificial Intelligence for Precision Agriculture by Yiannis Ampatzidis

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Dynamic Interferometry for Freeform Surface Measurement Based on Machine Learning-Configured Deformable Mirror by Xu Chang, Yao Hu, Jintao Wang, Xiang Liu, Qun Hao

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Deep learning uncovers histological patterns of YAP1/TEAD activity related to disease aggressiveness in cancer patients by Benoit Schmauch, Vincent Cabeli, Omar Darwiche Domingues, Jean-Eudes Le Douget, Alexandra Hardy, Reda Belbahri, Charles Maussion, Alberto Romagnoni, Markus Eckstein, Florian Fuchs, Aurélie Swalduz, Sylvie Lantuejoul, Hugo Crochet, François Ghiringhelli, Valentin Derangere, Caroline Truntzer, Harvey Pass, Andre L. Moreira, Luis Chiriboga, Yuanning Zheng, Michael Ozawa, Brooke E. Howitt, Olivier Gevaert, Nicolas Girard, Elton Rexhepaj, Iris Valtingojer, Laurent Debussche, Emanuele de Rinaldis, Frank Nestle, Emmanuel Spanakis, Valeria R. Fantin, Eric Y. Durand, Marion Classe, Katharina Von Loga, Elodie Pronier, Matteo Cesaroni

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Failure Analysis and Improvement of the Gearbox of Twenty-high Rolling Mill by Ye Naiwei, Lv Xiaobing, Deng Zhongxiang, Li Quanwei, Song Huijun, Wang Xuewu

Subjects: “…Coiling machine…”
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A Data-Driven Methodology for Obtaining the Stress–Strain Curves of Metallic Materials Using Discrete Indentation Tests by Nitzan Rom, Elad Priel

Subjects: “…machine learning…”
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Machine Learning Methods for Forecasting Intermittent Tin Ore Production by Nabila Dhia Alifa Rahmah, Budhi Handoko, Anindya Apriliyanti Pravitasari

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Dispositifs à variables inconnues by Emmanuel Grimaud

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A machine learning model the prediction of athlete engagement based on cohesion, passion and mental toughness by Xin Zhang, Zhikang Lin, Song Gu

Subjects: “…Machine learning…”
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