Showing 6,721 - 6,740 results of 9,922 for search 'open computing', query time: 0.25s Refine Results
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    Underwater Depth Estimation for Spherical Images by Jiadi Cui, Lei Jin, Haofei Kuang, Qingwen Xu, Sören Schwertfeger

    Published 2021-01-01
    “…This paper proposes a method for monocular underwater depth estimation, which is an open problem in robotics and computer vision. To this end, we leverage publicly available in-air RGB-D image pairs for underwater depth estimation in the spherical domain with an unsupervised approach. …”
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  7. 6727

    Large-scale foundation models and generative AI for BigData neuroscience by Ran Wang, Zhe Sage Chen

    Published 2025-06-01
    “…Recent advances in machine learning have led to revolutionary breakthroughs in computer games, image and natural language understanding, and scientific discovery. …”
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  8. 6728

    Head and Neck Surgical Oncology Choosing Wisely Campaign: imaging for patients with hoarseness, fine needle aspiration for neck mass, and ultrasound for odynophagia by Antoine Eskander, Eric Monteiro, Dan O’Connell, S. Mark Taylor, The Canadian Association of Head and Neck Surgical Oncology (CAHNSO)

    Published 2018-01-01
    “…The Canadian Society of Otolaryngology - Head & Neck Surgery and the Canadian Association of Head and Neck Surgical Oncologists developed a Choosing Wisely Canada list to help promote high quality care for patients presenting with disorders of the head and neck: (1) Don’t order imaging - computer tomography (CT) or magnetic resonance imaging (MRI) - as the initial investigation for patients presenting with a chief complaint of hoarseness, (2) Don’t perform an open biopsy or excision of a neck mass without having first considered a fine needle aspiration (FNA) biopsy and, (3) Don’t order neck ultrasound to investigate odynophagia (discomfort or pain with swallowing) or globus sensation.…”
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    Digital health technologies in the accelerating medicines Partnership® Schizophrenia Program by Johanna T. W. Wigman, Ann Ee Ching, Yoonho Chung, Habiballah Rahimi Eichi, Erlend Lane, Carsten Langholm, Aditya Vaidyam, Andrew Jin Soo Byun, Anastasia Haidar, Jessica Hartmann, Angela Nunez, Dominic Dwyer, Adibah Amani Nasarudin, Owen Borders, Isabelle Scott, Zailyn Tamayo, Priya Matneja, Kang-Ik Cho, Jean Addington, Luis K. Alameda, Celso Arango, Nicholas J. K. Breitborde, Matthew R. Broome, Kristin S. Cadenhead, Monica E. Calkins, Eric Yu Hai Chen, Jimmy Choi, Philippe Conus, Cheryl M. Corcoran, Barbara A. Cornblatt, Covadonga M. Diaz-Caneja, Lauren M. Ellman, Paolo Fusar-Poli, Pablo A. Gaspar, Carla Gerber, Louise Birkedal Glenthøj, Leslie E. Horton, Christy Lai Ming Hui, Joseph Kambeitz, Lana Kambeitz-Ilankovic, Matcheri S. Keshavan, Sung-Wan Kim, Nikolaos Koutsouleris, Kerstin Langbein, Daniel Mamah, Daniel H. Mathalon, Vijay A. Mittal, Merete Nordentoft, Godfrey D. Pearlson, Jesus Perez, Diana O. Perkins, Albert R. Powers, Jack Rogers, Fred W. Sabb, Jason Schiffman, Jai L. Shah, Steven M. Silverstein, Stefan Smesny, Walid Yassin, William S. Stone, Gregory P. Strauss, Judy L. Thompson, Rachel Upthegrove, Swapna Verma, Jijun Wang, Daniel H. Wolf, Phillip Wolff, Accelerating Medicines Partnership® Schizophrenia (AMP® SCZ), Laura M. Rowland, Simon D’Alfonso, Ofer Pasternak, Sylvain Bouix, Patrick D. McGorry, Rene S. Kahn, John M. Kane, Carrie E. Bearden, Scott W. Woods, Martha E. Shenton, Barnaby Nelson, Justin T. Baker, John Torous

    Published 2025-06-01
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  11. 6731

    DS-SwinUNet: Redesigning Skip Connection With Double Scale Attention for Land Cover Semantic Segmentation by Zirui Shen, Wanjie Liu, Sheng Xu

    Published 2025-01-01
    “…In recent years, the development of visual transformer has gradually replaced convolutional neural networks in the visual domain with attention computation, causing pure transformer networks to become a trend. …”
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    Lightweight Deep Learning for sEMG-Based Fingers Position Classification and Embedded System Deployment by Victor H. Benitez, Jesus Pacheco, Guillermo Cuamea-Cruz

    Published 2025-01-01
    “…The architecture of the model balances computational efficiency and classification performance, making it deployable on resource-constrained embedded technology. …”
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    Optimization of Soft Actuator Control in a Continuum Robot by Oleksandr Sokolov, Serhii Sokolov, Angelina Iakovets, Miroslav Malaga

    Published 2025-07-01
    “…The resulting control strategy achieved sub-millimeter positioning error while minimizing the number of actuators engaged. The approach is computationally efficient, sensor-minimal, and fully implementable in open-loop settings. …”
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