Results 211 to 220 of about 4,356 (253)

A State‐Adaptive Koopman Control Framework for Real‐Time Deformable Tool Manipulation in Robotic Environmental Swabbing

Advanced Robotics Research, EarlyView.
This work presents a state‐adaptive Koopman linear quadratic regulator framework for real‐time manipulation of a deformable swab tool in robotic environmental sampling. By combining Koopman linearization, tactile sensing, and centroid‐based force regulation, the system maintains stable contact forces and high coverage across flat and inclined surfaces.
Siavash Mahmoudi, Amirreza Davar, Dongyi Wang   +2 more
wiley   +1 more source

Immune Modulation in the Tumor Microenvironment: Bifurcation Analysis of Cancer-CTL-Monocyte Dynamics. [PDF]

Bull Math Biol
Hernandez-Lopez E, Milne R, Wang X.
europepmc   +1 more source

The topology of synergy: Linking topological and information-theoretic approaches to higher-order interactions in complex systems. [PDF]

PLoS Comput Biol
Varley TF, Mediano PAM, Patania A, Bongard J.   +3 more
europepmc   +1 more source

Automated Learning of a Dense Manifold of Electronic States and Electronic Energy Transfer and Reactions in Singlet O Collisions with N₂. [PDF]

Research (Wash D C)
Meng Q, Shu Y, Varga Z, Zhang D, Truhlar DG.   +4 more
europepmc   +1 more source

An Information Geometry-Based Track-Before-Detect Algorithm for Range-Azimuth Measurements in Radar Systems. [PDF]

Entropy (Basel)
Liu J, Wu H, Yang Z, Hua X, Cheng Y.
europepmc   +1 more source

Interpretable and extrapolation-stable model for predicting nanofluid thermal conductivity. [PDF]

Sci Rep
Zinhom E, Radwan SS, Elmasry A, Sharaf MAM, Nassar MM.   +4 more
europepmc   +1 more source

Impact of Dark Polariton States on Collective Strong Light-Matter Coupling in Molecules. [PDF]

J Phys Chem Lett
Borges L, Schnappinger T, Kowalewski M.
europepmc   +1 more source

Representational learning by optimization of neural manifolds in an olfactory memory network

Friedrich R, Hu B, Temiz N, Chou C, Rupprecht P, Meissner-Bernard C, Titze B, Chung S.   +7 more
europepmc   +1 more source

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Diffusion on Statistical Manifolds

2006 International Conference on Image Processing, 2006
This paper presents a new diffusion scheme on statistical manifolds for the detection of texture boundaries. The technique derives from our previous work, in which 2-dimensional Riemannian manifolds were statistically defined by maps that transform a parameter domain onto a set of probability density functions.
Sang-Mook Lee, A. Lynn Abbott, Neil A. Clark, Philip A. Araman   +3 more
openaire   +1 more source

Exponential statistical manifold

Annals of the Institute of Statistical Mathematics, 2006
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
CENA A, PISTONE, Giovanni
openaire   +3 more sources