Results 191 to 200 of about 123,296 (287)

Unveiling connectivity patterns of railway timetables through complex network theory and Infomap clustering. [PDF]

PLoS One
Lamanna F, Prisma M, Medeossi G.
europepmc   +1 more source

In Materia Shaping of Randomness with a Standard Complementary Metal‐Oxide‐Semiconductor Transistor for Task‐Adaptive Entropy Generation

Advanced Functional Materials, EarlyView.
This study establishes a materials‐driven framework for entropy generation within standard CMOS technology. By electrically rebalancing gate‐oxide traps and Si‐channel defects in foundry‐fabricated FDSOI transistors, the work realizes in‐materia control of temporal correlation – achieving task adaptive entropy optimization for reinforcement learning ...
Been Kwak, Ryun‐Han Koo, Youngchan Cho, Changhyeon Han, Dongbin Kim, Soi Jeong, Yunho Shin, Joonhyeok Choi, Jiseong Im, Jonghyun Ko, Jong‐Ho Lee, Jangsaeng Kim, Youngho Kang, Wonjun Shin, Daewoong Kwon   +14 more
wiley   +1 more source

Persistence-Weighted Performance Metric for PID Gain Optimization in Optical Tracking of Unknown Space Objects. [PDF]

Sensors (Basel)
Hyun C, Kim D, Kim H, Park S.
europepmc   +1 more source

Toward Scalable Solutions for Silver‐Based Gas Diffusion Electrode Fabrication for the Electrochemical Conversion of CO2 – A Perspective

Advanced Functional Materials, EarlyView.
In this study, the preparation techniques for silver‐based gas diffusion electrodes used for the electrochemical reduction of carbon dioxide (eCO2R) are systematically reviewed and compared with respect to their scalability. In addition, physics‐based and data‐driven modeling approaches are discussed, and a perspective is given on how modeling can aid ...
Simon Emken, K. Ashoke Raman, Alexander Bauer, Violeta Karyofylli, Eva Jodat, André Karl, Rüdiger‐A. Eichel   +6 more
wiley   +1 more source

Revealing Structural Brain-Cognition Relationships in Children: A Comparison of Morphometric Similarity and INverse Divergence Networks. [PDF]

Neuroinformatics
Han S, Jia H, Vilaseca G, Vilaró N, Duan F, Sun Z, Caiafa CF, Solé-Casals J.   +7 more
europepmc   +1 more source

Contact Lens with Moiré Patterns for High‐Precision Eye Tracking

Advanced Functional Materials, EarlyView.
This work presents a passive contact lens for high‐precision eye tracking, integrating a microscopic moiré grating label. The parallax‐induced shift of macroscopic moiré patterns enables angle measurement with 0.28° precision using a standard camera under ambient light.
Ilia M. Fradkin, Roman V. Kirtaev, Mikhail S. Mironov, Dmitriy V. Grudinin, Alexander A. Marchenko, Marina M. Chugunova, Valentin R. Solovei, Alexander V. Syuy, Andrey A. Vyshnevyy, Ilya P. Radko, Aleksey V. Arsenin, Valentyn S. Volkov   +11 more
wiley   +1 more source

A Hierarchical Deep Learning Architecture for Diagnosing Retinal Diseases Using Cross-Modal OCT to Fundus Translation in the Lack of Paired Data. [PDF]

J Imaging
Lopukhova EA, Idrisova GM, Mukhamadeev TR, Voronkov GS, Kutluyarov RV, Topolskaya EP.   +5 more
europepmc   +1 more source

High‐Resolution Characterization of Protein‐Conjugated, mRNA‐Loaded Lipid Nanoparticles by Analytical Ultracentrifugation

Advanced Functional Materials, EarlyView.
Lipid nanoparticles containing messenger RNA are characterized by sedimentation velocity analytical ultracentrifugation using UltraScan's new Custom Grid algorithm to provide multi‐dimensional distributions for partial specific volume (particle density), molar mass, sedimentation, diffusion, and hydrodynamic radius.
Sophia Bird, Connor Smith, Nahal Habibi, Samantha Rivera, Saeed Mortezazadeh, Reece Martin, Benjamin M. Geilich, Gilles Besin, Borries Demeler   +8 more
wiley   +1 more source

Enhancing GUI test case generation with multi-objective quasi-oppositional genetic sparrow. [PDF]

Sci Rep
Jayalakshmi N, Sakthivel K.
europepmc   +1 more source

Recomposable Layered Metasurfaces for Wavelength‐Multiplexed Optical Encryption via Modular Diffractive Deep Neural Networks

Advanced Functional Materials, EarlyView.
Modular diffractive deep neural network metasurfaces encode and reconstruct holograms across layer combinations and wavelengths, enabling secure, multifunctional operation. Each layer acts independently yet composes jointly, yielding up to m(2N −1) channels for m wavelengths and N layers.
Cherry Park, Youngsun Jeon, Seokho Lee, Yeseul Kim, Junsuk Rho   +4 more
wiley   +1 more source