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  • PRESS-GLUED CONNECTIONS WITH STAPLES AND NAILS – AN EFFICIENT ALTERENATIVE TO CURRENT STANDARDISATION?

    World Conference on Timber Engineering 2025

    PRESS-GLUED CONNECTIONS WITH STAPLES AND NAILS – AN EFFICIENT ALTERENATIVE TO CURRENT STANDARDISATION?

    Dio Lins, Valentin Räber, Steffen Franke, Martin Lehmann p3259-3265 from 14th World Conference on Timber Engineering 2025 (WCTE 2025)
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  • Pressure Distribution of Gas Molecules in the Wake Area of a Foldable Wing-Type Orbital Molecular Screen

    International Astronautical Federation (IAF)

    Pressure Distribution of Gas Molecules in the Wake Area of a Foldable Wing-Type Orbital Molecular Screen

    Yifan Wang, Hao Liu, Ge Dong p300-309 from 22nd IAA Symposium on Building Blocks for Future Space Exploration and Development
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  • Pressurized Modules “Made in Italy” for Human Spaceflight. an Italian Story of International Success.

    International Astronautical Federation (IAF)

    Pressurized Modules “Made in Italy” for Human Spaceflight. an Italian Story of International Success.

    Ernesto Vallerani, Maria Antonietta Perino p292-300 from 58th IAA History of Astronautics Symposium
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  • Pressurized Oxy-Combustion of Coal Using a Dry-Feed System

    Coal Technologies Associates

    Pressurized Oxy-Combustion of Coal Using a Dry-Feed System

    Andrew Fry, Dale Tree, Brad Adams, Scott Gardner, Cody Carpenter, Jacob Tula, Aaron Skousen, Dustin Badger p995-996 from Clearwater Clean Energy Conference 2022
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  • PRESTRESSING AS A METHOD OF REDUCING THE EFFECT OF CONCRETE SHRINKAGE IN ADHESIVELY BONDED CLT-CONCRETE COMPOSITE PANELS

    World Conference on Timber Engineering 2025

    PRESTRESSING AS A METHOD OF REDUCING THE EFFECT OF CONCRETE SHRINKAGE IN ADHESIVELY BONDED CLT-CONCRETE COMPOSITE PANELS

    Viktória Bajzecerová, Ján Kanócz p3754-3760 from 14th World Conference on Timber Engineering 2025 (WCTE 2025)
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  • Pretrained Optimization Model for Zero-Shot Black Box Optimization

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Pretrained Optimization Model for Zero-Shot Black Box Optimization

    Xiaobin Li, Yujian Li, Jing Liu, Handing Wang, Kai Wu, Xiaoyu Zhang p14283-14324 from Advances in Neural Information Processing Systems 37
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  • Pretrained Transformer Efficiently Learns Low-Dimensional Target Functions In-Context

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Pretrained Transformer Efficiently Learns Low-Dimensional Target Functions In-Context

    Kazusato Oko, Yujin Song, Taiji Suzuki, Denny Wu p77316-77365 from Advances in Neural Information Processing Systems 37
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  • Pretraining Codomain Attention Neural Operators for Solving Multiphysics PDEs

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Pretraining Codomain Attention Neural Operators for Solving Multiphysics PDEs

    Anima Anandkumar, Kamyar Azizzadenesheli, Julius Berner, Boris Bonev, Mogab Elleithy, Robert George, Jean Kossaifi, Daniel Leibovici, Zongyi Li, Ashiqur Rahman, Colin White, Raymond Yeh p104035-104064 from Advances in Neural Information Processing Systems 37
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  • Pretraining with Random Noise for Fast and Robust Learning without Weight Transport

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Pretraining with Random Noise for Fast and Robust Learning without Weight Transport

    Jeonghwan Cheon, Sang Wan Lee, Se-Bum Paik p13748-13768 from Advances in Neural Information Processing Systems 37
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  • Preventing Conversion to a Highly Degraded Invasive Dominated System

    International Grassland Congress 2023

    Preventing Conversion to a Highly Degraded Invasive Dominated System

    C. V. Ransom p1697-1699 from XXV International Grassland Congress (IGC 2023)
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  • Preventing Dimensional Collapse in Self-Supervised Learning via Orthogonality Regularization

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Preventing Dimensional Collapse in Self-Supervised Learning via Orthogonality Regularization

    Jinxiao Du, Junlin He, Wei Ma p95579-95606 from Advances in Neural Information Processing Systems 37
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  • Preventing Model Collapse in Deep Canonical Correlation Analysis by Noise Regularization

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Preventing Model Collapse in Deep Canonical Correlation Analysis by Noise Regularization

    Jinxiao Du, Junlin He, Wei Ma, Susu Xu p82375-82410 from Advances in Neural Information Processing Systems 37
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