Found 2,492 document(s)
Page 133 of 167
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Open access biomedical research article published in Iran J Biotechnol....
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Open access biomedical research article published in MedComm (2020)....
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Open access biomedical research article published in Int J Womens Health....
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Open access biomedical research article published in Infect Drug Resist....
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Open access biomedical research article published in Aquac Nutr....
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Open access biomedical research article published in Drug Des Devel Ther....
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Open access biomedical research article published in MedComm (2020)....
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Open access biomedical research article published in Breast Cancer (Dove Med Press)....
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Open access biomedical research article published in MedComm (2020)....
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Reusing pretrained medical-imaging models offers an alternative to training from scratch. A model trained for the same task may perform poorly at a new hospital because imaging protocols and preprocessing differ. Effecti...
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Type-II sparse Bayesian learning (SBL) for the multiple measurement vector model recovers a sparse signal power vector by minimizing the marginal negative log-likelihood via the expectation-maximization (EM) algorithm, r...
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Grasping is a foundational capability in robotic manipulation. Scene-level 6-DoF grasp synthesis relies on point clouds for metric geometry, yet real-world point observations are often noisy, incomplete, and over-smoothe...
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This paper studies the constrained line-of-sight pointing control problem of a two-axis current-command gimbal subjected to mismatched mechanical disturbances. Friction, torque ripple, current-response lag, model mismatc...
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Diffusion models enable multiple advertisers to compete for exposure within a shared generated image. Yet existing approaches are computationally costly when generating images under varying target-share configurations, a...
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In surgical instrument segmentation, the increasing variety of instruments over time poses a significant challenge for existing neural networks, as they are unable to effectively learn such incremental tasks and suffer f...