Results 181 to 190 of about 351,513 (382)

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

Regularity analysis for stochastic partial differential equations with nonlinear multiplicative trace class noise [PDF]

, 2011
Arnulf Jentzen, Michael Röckner
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

Bayesian spatiotemporal stochastic partial differential equation for high-resolution earthquake magnitude mapping: Application to Sumatra Island, Indonesia. [PDF]

MethodsX
Azuri DF, Jaya IGNM, Rosandi Y.
europepmc   +1 more source

Data‐Driven Multi‐Objective Optimization of Large‐Diameter Si Floating‐Zone Crystal Growth

Advanced Theory and Simulations, EarlyView.
This study presents a surrogate‐based Multi‐Objective Optimization framework for Floating Zone silicon crystal growth. An ensemble of Neural Networks is trained on simulation data and combined with Genetic Algorithms to explore trade‐offs in process parameters.
Lucas Vieira, Milena Petković, Robert Menzel, Natasha Dropka   +3 more
wiley   +1 more source

Exploring the exact solutions of the Kuramoto-Sivashinsky equation with advection noise in fluid dynamics. [PDF]

Sci Rep
Obeidat ST, Rizk D, Mohammed WW.
europepmc   +1 more source

On the existence of optimal control for controlled stochastic partial differential equations [PDF]

, 1989
Noriaki Nagase
openalex   +1 more source

TVB C++: A Fast and Flexible Back‐End for The Virtual Brain

Advanced Science, EarlyView.
TVB C++ is a streamlined and fast C++ Back‐End for The Virtual Brain (TVB), designed to make it as flexible as TVB, and FAST. Another pillar is to be fully compatible with TVB so easy bindings can be created from Python. Users can easily configure TVB C++ to execute the same code but with enhanced performance and parallelism.
Ignacio Martín, Gorka Zamora‐López, Jan Fousek, Michael Schirner, Petra Ritter, Viktor Jirsa, Gustavo Deco, Gustavo Patow   +7 more
wiley   +1 more source

Stochastic analysis and Monte Carlo simulation of magneto-opto-acoustic wave propagation in nonlocal semiconductor excitation. [PDF]

Sci Rep
Elsakout DM, El-Dali A, Alaofi ZM.
europepmc   +1 more source

Quasilinear parabolic stochastic partial differential equations: existence, uniqueness [PDF]

, 2015
Martina Hofmanová, Tusheng Zhang
openalex   +1 more source