Results 191 to 200 of about 23,566 (314)
Self-Supervised Lie Algebra Representation Learning via Optimal Canonical Metric
Learning discriminative representation with limited training samples is emerging as an important yet challenging visual categorization task. While prior work has shown that incorporating self-supervised learning can improve performance, we found that the
Yu, Xiaohan +3 more
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Magnetic Resonance in Medicine, EarlyView.ABSTRACT Purpose To propose a new method using a physics‐guided neural network for quantitative parameter mapping in balanced steady‐state free precession (bSSFP) imaging. Theory and Methods We trained physics‐guided neural networks with a multilayer perceptron using simulated bSSFP signals generated from tissue parameters (T1$$ {T}_1 $$, T2$$ {T}_2 $$,
Hye‐Ryeong Choi +2 more
wiley +1 more source
Shifted Poisson structures on higher Chevalley-Eilenberg algebras. [PDF]
Lett Math PhysKemp C, Laugwitz R, Schenkel A.
europepmc +1 more source
Applications of Lie methods to computations with polycyclic groups
, 2008 In this thesis we demonstrate the algorithmic usefulness of the so-called Mal'cev correspondence for computations with infinite polycyclic groups.
Assmann, Björn
core
International Journal of Mechanical System Dynamics, EarlyView.ABSTRACT This work addresses the challenge of bidirectional trajectory tracking in solar‐powered wheeled mobile robots (WMRs), considering the mechanical structure, actuator‐driver, and power stage subsystems. Notably, this is the first study to explicitly model and control the actuator‐driver subsystem within this context. The proposed solution relies
Benjamin Natanael Santiago‐Nogales +8 more
wiley +1 more source
Thermodynamics à la Souriau on Kähler Non-Compact Symmetric Spaces for Cartan Neural Networks. [PDF]
Entropy (Basel)Fré PG, Sorin AS, Trigiante M.
europepmc +1 more source
International Journal of Mechanical System Dynamics, EarlyView.ABSTRACT Digitalization and emerging technologies are increasing the demand for wireless sensing and the Internet of Things (IoT), which provide opportunities for autonomous sources of electricity in the form of energy harvesting systems. This paper focuses on the challenges in hybrid piezoelectric‐electromagnetic kinetic energy harvesting systems that
Petr Sosna, Damian Gaska, Zdeněk Hadaš
wiley +1 more source
A Lie group-based hybrid optimization framework for multi-objective UAV path planning using L-VGWO. [PDF]
Sci RepWang Y, Guo C, Shao Y, Zheng L, Deng X.
europepmc +1 more source
A conjecture of Warnaar-Zudilin from deformations of lie superalgebras. [PDF]
Res Math SciCreutzig T, Garner N.
europepmc +1 more source