Results 201 to 210 of about 1,495,511 (374)

Remarks on extendible vector bundles over lens spaces and real projective spaces

, 1975
Teiichi KOBAYASHI, Haruo Maki, Toshio Yoshida   +2 more
openalex   +1 more source

On the diameter of closed minimal submanifolds in a real projective space [PDF]

, 1999
Changyu Xia
openalex   +1 more source

Process tomography of structured optical gates with convolutional neural networks

Machine Learning: Science and Technology
Efficient and accurate characterization of an experimental setup is a critical requirement in any physical setting. In the quantum realm, the characterization of an unknown operator is experimentally accomplished via Quantum Process Tomography (QPT ...
Tareq Jaouni, Francesco Di Colandrea, Lorenzo Amato, Filippo Cardano, Ebrahim Karimi   +4 more
doaj   +1 more source

A characterization of pseudo-Einstein real hypersurfaces in a quaternionic projective space [PDF]

, 1996
Tatsuyoshi Hamada
openalex   +1 more source

Data‐driven forecasting of ship motions in waves using machine learning and dynamic mode decomposition

International Journal of Adaptive Control and Signal Processing, EarlyView.
Summary Data‐driven forecasting of ship motions in waves is investigated through feedforward and recurrent neural networks as well as dynamic mode decomposition. The goal is to predict future ship motion variables based on past data collected on the field, using equation‐free approaches.
Matteo Diez, Mauro Gaggero, Andrea Serani   +2 more
wiley   +1 more source

Involutions fixing the disjoint union of 3-real projective space with Dold manifold [PDF]

, 2000
Zhi Lü, Xibo Liu
openalex   +1 more source

Random Learning Leads to Faster Convergence in ‘Model‐Free’ ILC: With Application to MIMO Feedforward in Industrial Printing

International Journal of Adaptive Control and Signal Processing, EarlyView.
The cost as a function of the number of experiments for a non‐symmetric 21×21$$ 21\times 21 $$ system. Four approaches are shown: the proposed stochastic conjugate gradient ILC (SCGILC) method (), deterministic conjugate gradient ILC (), stochastic gradient descent ILC () and deterministic gradient descent ILC ().
Leontine Aarnoudse, Tom Oomen
wiley   +1 more source

The Potential for Extracellular Vesicles in Nanomedicine: A Review of Recent Advancements and Challenges Ahead

Advanced Biology, EarlyView.
Extracellular vesicles (EVs) play a dual role in diagnostics and therapeutics, offering innovative solutions for treating cancer, cardiovascular, neurodegenerative, and orthopedic diseases. This review highlights EVs’ potential to revolutionize personalized medicine through specific applications in disease detection and treatment.
Farbod Ebrahimi, Anjali Kumari, Samaneh Ghadami, Saqer Al Abdullah, Kristen Dellinger   +4 more
wiley   +1 more source

Commutativity of Cho and structure Jacobi operators of a real hypersurface in a complex projective space

, 2015
J. Pérez
semanticscholar   +1 more source

Scaling Up Synthetic Cell Production Using Robotics and Machine Learning Toward Therapeutic Applications

Advanced Biology, EarlyView.
Synthetic cells (SCs) hold great promise for biomedical applications, but manual production limits scalability. This study presents an automated method for large‐scale SC synthesis, integrating robotic liquid handling and machine learning‐driven high‐throughput characterization.
Noga Sharf‐Pauker, Ido Galil, Omer Kfir, Gal Chen, Rotem Menachem, Jeny Shklover, Avi Schroeder, Shanny Ackerman   +7 more
wiley   +1 more source