Results 181 to 190 of about 6,693,779 (355)

GuaRD: Guaranteed robustness of image retrieval system under data distortion turbulence. [PDF]

PLoS One, 2023
Chung H, Lee N, Lee H, Cho Y, Woo J.
europepmc   +1 more source

Universal Model for Multi-Domain Medical Image Retrieval [PDF]

, 2020
Yang Feng, Yubao Liu, Jiebo Luo
openalex   +1 more source

Local Thermal Conductivity Patterning in Rotating Lattice Crystals of Anisotropic Sb2S3

Advanced Functional Materials, EarlyView.
Microscale control of thermal conductivity in Sb2S3 is demonstrated via laser‐induced rotating lattice crystals. Thermal conductivity imaging reveals marked thermal transport anisotropy, with the c axis featuring amorphous‐like transport, whereas in‐plane directions (a, b) exhibit 3.5x and 1.7x larger thermal conductivity.
Eleonora Isotta, Rosemary Wynnychenko, Binayak Mukherjee, Jack Kaman, Hrushikesh Sahasrabuddhe, Jiongzhi Zheng, Anubhav Jain, Geoffroy Hautier, Alexandra Zevalkink, Evan Musterman, Volkmar Dierolf, Himanshu Jain, G. Jeffrey Snyder, Oluwaseyi Balogun   +13 more
wiley   +1 more source

Optimizing Remote Sensing Image Retrieval Through a Hybrid Methodology. [PDF]

J Imaging
Alegavi S, Sedamkar R.
europepmc   +1 more source

Image retrieval

Information Services & Use, 1992
openaire   +2 more sources

Quantifying Spin Defect Density in hBN via Raman and Photoluminescence Analysis

Advanced Functional Materials, EarlyView.
An all‐optical method is presented for quantifying the density of boron vacancy spin defects in hexagonal boron nitride (hBN). By correlating Raman and photoluminescence signals with irradiation fluence, defect‐induced Raman modes are identified and established an relationship linking optical signatures to absolute defect densities. This enables direct
Atanu Patra, Paul Konrad, Andreas Sperlich, Timur Biktagirov, Wolf Gero Schmidt, Lesley Spencer, Igor Aharonovich, Sven Höfling, Vladimir Dyakonov   +8 more
wiley   +1 more source

Retracted: Object-Based Image Retrieval Using the U-Net-Based Neural Network. [PDF]

Comput Intell Neurosci, 2023
Intelligence And Neuroscience C.
europepmc   +1 more source

Physics-constrained deep learning for biophysical parameter retrieval from Sentinel-2 images: Inversion of the PROSAIL model

Yoël Zérah, Silvia Valero, Jordi Inglada   +2 more
openalex   +1 more source

Bimetallic Nanoreactor Activates cGAS‐STING Pathway via mtDNA Release for Cancer Metalloimmunotherapy

Advanced Functional Materials, EarlyView.
A bimetallic Mn–Ca nanoreactor (MCC) is developed as a non‐nucleotide STING nanoagonist for cancer metalloimmunotherapy. MCC induces Ca2+ overload and hydroxyl radical generation, resulting in mitochondrial damage and mtDNA release. The released mtDNA cooperates with Mn2+ to robustly activate cGAS–STING signaling.
Xin Wang Mo, Nguyen Thi Nguyen, LiLi Guo, Ngoc Man Phan, Hyunsu Shin, Tae‐il Kim, Yu Seok Youn, Jaeyun Kim   +7 more
wiley   +1 more source

Bioinspired Bromination Enables Extensible, Strain‐Stiffening Resilin Peptide Scaffolds with Tunable Degradation

Advanced Functional Materials, EarlyView.
Bioinspired bromination of a resilin‐derived peptide enables the fabrication of electrospun nanofibrous scaffolds that uniquely combine strain‐stiffening elasticity, proteolytic stability, and antioxidant functionality. These brominated peptide–gelatin hybrids mimic the extensibility of natural elastomers, demonstrating tunable mechanical resilience ...
Elisa Marelli, Lorenzo Sori, Chiara Russo, Claudia Pigliacelli, Lorenza Draghi, Monica Soncini, Pierangelo Metrangolo   +6 more
wiley   +1 more source