Results 151 to 160 of about 806,396 (338)

Spin‐Orbit Photonics with Potato Starch Lenses

Advanced Optical Materials, EarlyView.
Native potato starch spherulites are introduced as volumetric optical elements that modulate both dynamic and geometric phases of light. These spherulites focus light and generate optical vortices via spin‐orbit interaction, functioning as polarization‐sensitive microlenses. Their unique radial anisotropy enables applications in vortex beam generation,
Petr Bouchal, Petr Viewegh, Petr Liška, Radim Chmelík, Zdeněk Bouchal   +4 more
wiley   +1 more source

Superconvergence of the iterated degenerate kernel method [PDF]

, 2001
Hiromasa Kaneko, Peter A. Padilla, Yuesheng Xu   +2 more
openalex   +1 more source

RADAR: Raman Spectral Analysis Using Deep Learning for Artifact Removal

Advanced Optical Materials, EarlyView.
RADAR is introduced, two lightweight deep learning models for artifact removal, capable of simultaneous denoising and correction of Raman spectra, significantly accelerating high‐quality data acquisition. This work advances Raman spectroscopy as a faster, more reliable tool for chemical analysis, with broad applications in materials science, biomedical
Joel Sjöberg, Nicoleta Siminea, Andrei Păun, Adrian Lita, Mioara Larion, Ion Petre   +5 more
wiley   +1 more source

Testing Additivity by Kernel-Based Methods: What Is a Reasonable Test? [PDF]

, 2001
Holger Dette, Carsten von Lieres und Wilkau   +1 more
openalex   +1 more source

Coupling Enhanced Diffractive Deep Neural Network with Structural Nonlinearity

Advanced Photonics Research, EarlyView.
Here, structural nonlinearity is introduced into diffractive deep neural networks (D2NNs) by incorporating encoding‐free data repetition layers, enabling high‐order optical nonlinearity while reducing the system complexity. Additionally, to enhance the design accuracy of D2NNs, a graph neural network is developed to characterize the coupling effects ...
Ouling Wu, Chao Qian, Guangfeng You, Dashuang Liao, Nanxuan Wu, Hongsheng Chen   +5 more
wiley   +1 more source

S-Motzkin paths with catastrophes and air pockets [PDF]

Discrete Mathematics Letters, 2023
Helmut Prodinger
doaj   +1 more source

Anatomically-aided PET reconstruction using the kernel method. [PDF]

Phys Med Biol, 2016
Hutchcroft W, Wang G, Chen KT, Catana C, Qi J.   +4 more
europepmc   +1 more source

Integration of Soft‐Robotics and Deep Learning to Assess the Coordinated Biosonar Emission and Reception Dynamics in Hipposiderid Bats

Advanced Robotics Research, EarlyView.
Combining a biomimetic soft‐robot with deep‐learning data analytics sheds light on a unique peripheral dynamics seen in the biosonar system of bats: Bats modulate their ultrasonic biosonar signals upon emission as well as reception with variable, yet highly coordinated motion patterns of their noseleaves and pinnae.
Shuxin Zhang, Ruihao Wang, Xiaoyan Yin, Luhui Yang, Rolf Müller   +4 more
wiley   +1 more source

High Temporal-Resolution Dynamic PET Image Reconstruction Using a New Spatiotemporal Kernel Method. [PDF]

IEEE Trans Med Imaging, 2019
Guobao Wang.
europepmc   +1 more source

Flexible Sensor‐Based Human–Machine Interfaces with AI Integration for Medical Robotics

Advanced Robotics Research, EarlyView.
This review explores how flexible sensing technology and artificial intelligence (AI) significantly enhance human–machine interfaces in medical robotics. It highlights key sensing mechanisms, AI‐driven advancements, and applications in prosthetics, exoskeletons, and surgical robotics.
Yuxiao Wang, Zhipeng Jiang, Sun Hwa Kwon, Matthew Ibrahim, Alexander Dang, Lin Dong   +5 more
wiley   +1 more source