Results 241 to 250 of about 26,804 (294)

MIAAIM: Multi-omics image integration with dimensional reduction for tissue state mapping. [PDF]

open access: yesPLoS Comput Biol
Hess JM   +18 more
europepmc   +1 more source

Hard‐Magnetic Soft Millirobots in Underactuated Systems

open access: yesAdvanced Robotics Research, EarlyView.
This review provides a comprehensive overview of hard‐magnetic soft millirobots in underactuated systems. It examines key advances in structural design, physics‐informed modeling, and control strategies, while highlighting the interplay among these domains.
Qiong Wang   +4 more
wiley   +1 more source

3D Printing of Soft Robotic Systems: Advances in Fabrication Strategies and Future Trends

open access: yesAdvanced Robotics Research, EarlyView.
Collectively, this review systematically examines 3D‐printed soft robotics, encompassing material selections, function integration, and manufacturing methodologies. Meanwhile, fabrication strategies are analyzed in order of increasing complexity, highlighting persistent challenges with proposed solutions.
Changjiang Liu   +5 more
wiley   +1 more source

Supervised Nonlinear Dimensionality Reduction for Visualization and Classification [PDF]

open access: yesIEEE Transactions on Systems, Man, and Cybernetics, 2005
When performing visualization and classification, people often confront the problem of dimensionality reduction. Isomap is one of the most promising nonlinear dimensionality reduction techniques. However, when Isomap is applied to real-world data, it shows some limitations, such as being sensitive to noise. In this paper, an improved version of Isomap,
Xin Geng 0001   +2 more
exaly   +4 more sources

Nonlinear dimensionality reduction with relative distance comparison [PDF]

open access: yesNeurocomputing, 2009
This paper proposes a new algorithm for nonlinear dimensionality reduction. Our basic idea is to explore and exploit the local geometry of the manifold with relative distance comparisons. All such comparisons derived from local neighborhoods are enumerated to constrain the manifold to be learned.
Feiping Nie   +2 more
exaly   +4 more sources

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