Results 171 to 180 of about 41,517 (308)

Information Transmission Strategies for Self‐Organized Robotic Aggregation

Advanced Robotics Research, EarlyView.
In this review, we discuss how information transmission influences the neighbor‐based self‐organized aggregation of swarm robots. We focus specifically on local interactions regarding information transfer and categorize previous studies based on the functions of the information exchanged.
Shu Leng, Zihan Li, Yifeng Shao, Jinhao Liu, Li Yu, Shuguang Li   +5 more
wiley   +1 more source

Optimal Estimation of a Signal Generated Using a Dynamical System Modeled with McKean-Vlasov Stochastic Differential Equations. [PDF]

Entropy (Basel)
Dragan V, Aberkane S.
europepmc   +1 more source

Path integral methods for stochastic differential equations. [PDF]

J Math Neurosci, 2015
Chow CC, Buice MA.
europepmc   +1 more source

Identifying Physical Interactions in Contact‐Based Robot Manipulation for Learning from Demonstration

Advanced Robotics Research, EarlyView.
Robots can learn manipulation tasks from human demonstrations. This work proposes a versatile method to identify the physical interactions that occur in a demonstration, such as sequences of different contacts and interactions with mechanical constraints.
Alex Harm Gert‐Jan Overbeek, Herman van der Kooij, Douwe Dresscher, Mark Vlutters   +3 more
wiley   +1 more source

Author Correction: Sparse inference and active learning of stochastic differential equations from data. [PDF]

Sci Rep
Huang Y, Mabrouk Y, Gompper G, Sabass B.
europepmc   +1 more source

On stochastic differential equations with arbitrarily slow convergence rates for strong approximation in two space dimensions. [PDF]

Proc Math Phys Eng Sci, 2017
Gerencsér M, Jentzen A, Salimova D.
europepmc   +1 more source

Robustness of Quadratic Hedging Strategies in Finance via Backward Stochastic Differential Equations with Jumps [PDF]

, 2015
Giulia Di Nunno, Asma Khedher, Michèle Vanmaele   +2 more
openalex   +1 more source

Structural Characterization and AI‐Enhanced Modeling of a Broadly Neutralizing Camelid Antibody Against SARS‐CoV‐2 Variants

Advanced Therapeutics, EarlyView.
This study characterizes a camelid antibody (B10) with potent neutralizing activity against SARS‐CoV‐2 Wildtype and Omicron variants. Through binding assays, epitope mapping, pseudovirus neutralization, and AI‐driven modeling, the antibody is shown to target conserved RBD regions in a closed Spike conformation.
Katja Hanack, Urszula Orzeł, Anja Schlör, Sourabh Mehta, Anandi Krishnan, Slawomir Filipek, Rushika Patel, Madhvi Joshi, Markus Hoffmann, Stefan Pöhlmann, Chaitanya Joshi, Dorian Liepmann, Ramasamy Paulmurugan, Venkatesan Renugopalakrishnan   +13 more
wiley   +1 more source

Condition-based opportunistic maintenance strategy for multi-component wind turbines by using stochastic differential equations. [PDF]

Sci Rep
Su H, Cao Q, Li Y.
europepmc   +1 more source

Infinite time interval backward stochastic differential equations with continuous coefficients. [PDF]

Springerplus, 2016
Zong Z, Hu F.
europepmc   +1 more source