Results 81 to 90 of about 167,076 (238)
Explaining the Origin of Negative Poisson's Ratio in Amorphous Networks With Machine Learning
This review summarizes how machine learning (ML) breaks the “vicious cycle” in designing auxetic amorphous networks. By transitioning from traditional “black‐box” optimization to an interpretable “AI‐Physics” closed‐loop paradigm, ML is shown to not only discover highly optimized structures—such as all‐convex polygon networks—but also unveil hidden ...
Shengyu Lu, Xiangying Shen
wiley +1 more source
Cardinal spline interpolation in $L_{2}$
Marsden, M., Mureika, R.
openaire +3 more sources
Robot‐Assisted Measurement of the Critical Micelle Concentration
The study introduces (SIMO) smart integrator for manual operations, a robotic platform for precise, repeatable determination of (CMC) critical micelle concentration in surfactants. SIMO reduces standard deviation by 80% compared to manual methods. Surfactant, dye, and diluent selection, robotic protocols, and data handling are detailed.
Vincenzo Scamarcio +3 more
wiley +1 more source
It is a fact that slippage causes tracking errors in both longitudinal and lateral directions which results to have less travel distance in tracking a reference trajectory. Less travel distance means having energy loss of the battery and carrying loads less than planned.
Gokhan Bayar +2 more
wiley +1 more source
Pointwise error bounds for orthogonal cardinal spline approximation
For orthogonal cardinal spline approximation, a closed form expression of the Peano kernels in terms of exponential splines is proved. A new integral representation of the orthogonal cardinal spline operator is derived, and the precise possible ...
Ehrich, S. +1 more
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A hybrid mobile robot with a modular Variable‐Stiffness Bridge transitions between a rigid locomotion platform and a flexible, shape‐conforming body. By enclosing objects within its deformable structure rather than relying on dedicated end effectors, the robot achieves orientation‐regulated planar transport, with conformal contact quality shown to ...
Luiza Labazanova +5 more
wiley +1 more source
This study introduces Cellular Material Network (CM‐Net), a pioneering machine learning architecture integrating physical information, to predict the mechanical properties of cellular materials. Comprehensive validation through simulations and experiments demonstrates its accuracy in predicting nonlinear behaviors, including initial peak compression ...
Sicong Zhou +5 more
wiley +1 more source
Thermally Drawn Bioelectric Catheters: Enabling Proprioceptive Endovascular Navigation
This work introduces a novel bioelectric navigation system eliminates the need for harmful fluoroscopy during endovascular surgeries. A bespoke 16‐electrode catheter is fabricated using rapid thermal drawing and laser micro‐machining. Paired with a real‐time tracking algorithm fusing vascular geometry detection and distance estimation, this technology ...
Alex Ranne +8 more
wiley +1 more source
Bronchoscope Tip Localization With Learned Airway Constraints and an Open Source Simulator
BronchoLoc addresses feature‐poor bronchoscopic imaging by combining monocular video with a preoperative CT graph to estimate 3D camera location. A local tracker identifies candidate branches, while a sequence‐aware global module refines the trajectory. Demonstrating sub‐centimeter accuracy across synthetic and phantom datasets, this framework advances
Emanuele Nicotra +7 more
wiley +1 more source
1980-1981 Cardinal Stritch Chronicle [PDF]
Scanned copy of the 1980-1981 Cardinal Stritch Chronicle yearbook.https://digitalcommons.stritch.edu/yearbooks/1006/thumbnail ...
Cardinal Stritch College
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