Results 31 to 40 of about 33,037,406 (304)
On the State-Space Model of Unawareness
working paper, please reference this version in further ...
openaire +2 more sources
Non-linear optimal control for multi-DOF electro-hydraulic robotic manipulators
A non-linear optimal (H-infinity) control approach is proposed for the dynamic model of multi-degree-of-freedom (DOF) electro-hydraulic robotic manipulators.
Gerasimos Rigatos +4 more
doaj +1 more source
A Meson Binding State Model in Two-Dimensional Space
In this paper, we first show that the four masses of the Upsilon binding states—namely, Y(1S) through Y(4S)—composed of bottom quarks and anti-bottom quarks follow logarithmic spacing. The correlation coefficient R between the experimental values and the
Yasushi Muraki, Shoichi Shibata
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Posterior Analysis of State Space Model with Spherical Symmetricity
The present work investigates state space model with nonnormal disturbances when the deviation from normality has been observed only with respect to kurtosis and the distribution of disturbances continues to follow a symmetric family of distributions ...
Ranjita Pandey
doaj +1 more source
TrackingMamba: Visual State Space Model for Object Tracking
In recent years, UAV object tracking has provided technical support across various fields. Most existing work relies on convolutional neural networks (CNNs) or visual transformers.
Qingwang Wang +6 more
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Oscillatory State-Space Models
ICLR 2025 (Oral)
T. Konstantin Rusch, Daniela Rus
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Atmospheric Constituent Data Assimilation in NASA's Goddard Earth Observing System
Many of today's most significant and urgent scientific questions, including those about the impact of human activity on air quality and radiative forcing, require the synthesis of observations of atmospheric constituents and scientific theory.
B. Weir +11 more
doaj +1 more source
Comparative Drug Response Profiling in Neuroblastoma Cell Lines and Patient‐Derived Tumor Organoids
ABSTRACT High‐risk neuroblastoma remains a leading cause of pediatric cancer mortality, and improved preclinical models are needed to guide therapeutic developments. We screened seven high‐risk neuroblastoma cell lines and three patient‐derived tumor organoids with 528 compounds alongside bone marrow controls, and compared them with external datasets ...
Krzysztof Wierbiłowicz +12 more
wiley +1 more source
Recent State Space Models (SSMs) such as S4, S5, and Mamba have shown remarkable computational benefits in long-range temporal dependency modeling. However, in many sequence modeling problems, the underlying process is inherently modular and it is of interest to have inductive biases that mimic this modular structure.
Jindong Jiang +4 more
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A self-organizing state-space-model approach for parameter estimation in Hodgkin-Huxley-type models of single neurons [PDF]
Traditional approaches to the problem of parameter estimation in biophysical models of neurons and neural networks usually adopt a global search algorithm (for example, an evolutionary algorithm), often in combination with a local search method (such as ...
Aston, John A. D. +16 more
core +2 more sources

