Results 11 to 20 of about 10,375 (259)
3D Sensitivity Zone Mapping in a Multi-Static, Microwave Breast Imaging Configuration [PDF]
SensorsOne of the keys to medical microwave tomography is understanding the sensitivity of transmit–receive signals to changes in the electromagnetic properties to be reconstructed.
Paul Meaney +2 more
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Reduced-cost construction of Jacobian matrices for high-resolution inversions of satellite observations of atmospheric composition [PDF]
Atmospheric Measurement Techniques, 2021 Global high-resolution observations of atmospheric composition from satellites can greatly improve our understanding of surface emissions through inverse analyses.
H. Nesser +7 more
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Visual Error Constraint Free Visual Servoing Using Novel Switched Part Jacobian Control
IEEE Access, 2022 This research advances the state of the image-based visual servoing (IBVS) of robotic arms to handle very large visual errors without the camera advance/retreat problem.
Zubair Arif +3 more
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On the Kinematics of Robotic-assisted Minimally Invasive Surgery [PDF]
Modeling, Identification and Control, 2013 Minimally invasive surgery is characterized by the insertion of the surgical instruments into the human body through small insertion points called trocars, as opposed to open surgery which requires substantial cutting of skin and tissue to give the ...
Pål Johan From
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Sensors, 2021 This paper focuses on the construction of the Jacobian matrix required in tomographic reconstruction algorithms. In microwave tomography, computing the forward solutions during the iterative reconstruction process impacts the accuracy and computational ...
Samar Hosseinzadegan +4 more
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Exploring and Exploiting Conditioning of Reinforcement Learning Agents
IEEE Access, 2020 The outcome of Jacobian singular values regularization was studied for supervised learning problems. In supervised learning settings for linear and nonlinear networks, Jacobian regularization allows for faster learning.
Arip Asadulaev +3 more
doaj +1 more source
Archives of Control Sciences, 2015 The paper presents the approximation problem of the inverse kinematics algorithms for the redundant manipulators. We introduce the approximation of the dynamically consistent Jacobian by the extended Jacobian.
Ratajczak Joanna
doaj +1 more source
Autoencoders for a manifold learning problem with a jacobian rank constraint
Pattern Recognition, 2023 We formulate the manifold learning problem as the problem of finding an operator that maps any point to a close neighbor that lies on a ``hidden'' $k$-dimensional manifold. We call this operator the correcting function. Under this formulation, autoencoders can be viewed as a tool to approximate the correcting function.
Rustem Takhanov +2 more
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Picard-vessiot theory and the Jacobian problem
Israel Journal of Mathematics, 2011 There are two definitions of Picard-Vessiot extension of partial differential fields, defined respectively in [\textit{E. R. Kolchin}, Proc. Am. Math. Soc. 3, 596--603 (1952; Zbl 0047.33303)] and in [\textit{M. van der Put} and \textit{M. Singer}, Galois theory of linear differential equations. Grundlehren der Mathematischen Wissenschaften 328. Berlin:
Crespo, Teresa, Hajto, Zbigniew
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Nuclear Engineering and Technology, 2017 This paper proposes the adoption of Monte Carlo perturbation theory to approximate the Jacobian matrix of coupled neutronics/thermal-hydraulics problems.
Manuele Aufiero, Massimiliano Fratoni
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