Results 71 to 80 of about 925,484 (287)
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 +2 more
wiley +1 more source
Cover Jurnal Gamma Vol.9, No.2, Maret 2014
Cover Jurnal Gamma Vol.9, No.2, Maret ...
., Cover
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Multimodal Engagement Assessment in Children During Invented Story Paradigm With a Social Robot
A multimodal framework is proposed to assess children's engagement during storytelling interactions with a social robot. Gaze, physiological, and behavioral data are combined and validated against observer ratings. An automated gaze‐labeling strategy is introduced, and supervised classifiers achieve high accuracy. The study supports scalable engagement
Laura Fiorini +7 more
wiley +1 more source
Gamma Ray Spectrum Unfolding Using Derivative Kernels
12 pages, 4 figures, PACS 29.30.Kv, 29.85.-c, 02.60 ...
Vlachos, D. S., Kosmas, O. T.
openaire +2 more sources
By applying the weight functions, the technique of real analysis and Hermite-Hadamard’s inequality, a half-discrete Hardy-Hilbert-type inequality related to the kernel of exponential function with the best possible constant factor expressed by the gamma ...
Jianquan Liao, Bicheng Yang
doaj +1 more source
Bayesian selector of adaptive bandwidth for multivariate gamma kernel estimator on [0,∞ ) d. [PDF]
Somé SM, Kokonendji CC.
europepmc +1 more source
Nonlinear Knowledge in Kernel Approximation [PDF]
Prior knowledge over arbitrary general sets is incorporated into nonlinear kernel approximation problems in the form of linear constraints in a linear program.
Mangasarian, Olvi, Wild, Edward
core
Hierarchic Bayesian models for kernel learning [PDF]
The integration of diverse forms of informative data by learning an optimal combination of base kernels in classification or regression problems can provide enhanced performance when compared to that obtained from any single data source.
Rogers, S. +3 more
core +1 more source
Neural Fields for Highly Accelerated 2D Cine Phase Contrast MRI
ABSTRACT 2D cine phase contrast (CPC) MRI provides quantitative information on blood velocity and flow within the human vasculature. However, data acquisition is time‐consuming, motivating the reconstruction of the velocity field from undersampled measurements to reduce scan times. In this work, neural fields are proposed as a continuous spatiotemporal
Pablo Arratia +7 more
wiley +1 more source
Gamma-gamma collider based on Compton back-scattering [PDF]
A {gamma}{gamma} collider would extend and complement the physics capability of a linear collider; e.g. it would be suitable for direct measurement of the partial decay width of a Higgs boson into two gamma quanta.
Group, Gamma-Gamma Working +1 more
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