Results 151 to 160 of about 1,853,771 (271)
Visual Feature-Guided Diamond Convolutional Network for Finger Vein Recognition. [PDF]
Yao Q, Song D, Xu X, Zou K.
europepmc +1 more source
The iLEAP technique integrates high‐throughput two‐photon lithography with extrusion printing, bridging sub‐micrometer precision and macroscopic scaffold fabrication. By employing a low‐exothermic photoinitiator, it mitigates thermal damage to biopolymers and preserves bioactivity.
Qifeng Guan +11 more
wiley +1 more source
Finger Vein Recognition Technique
Anna Grizhebovskaya, Alexander Mikhalev
openaire +1 more source
Stable radicals are attractive for photonic and quantum information technologies but are often limited by instability. We stabilize intrinsic radicals in graphene quantum dots via 2D polymerization of perylene derivatives, where bilayer defect confinement suppresses quenching (100–500 K).
Qin Xu +9 more
wiley +1 more source
DDP-FedFV: A Dual-Decoupling Personalized Federated Learning Framework for Finger Vein Recognition. [PDF]
Guo Z, Guo J, Huang Y, Zhang Y, Ren H.
europepmc +1 more source
An α‐helical peptide, TAB12, designed to mimic the TRIM28 binding interface, competitively disrupts the TRIM28‐BRD7 interaction, thereby blocking ubiquitin‐mediated degradation of the tumor suppressor BRD7. This stabilization unleashes potent anti‐tumor effects across multiple tumor types with a favorable safety profile, offering a feasible strategy ...
Qingqing Wei +10 more
wiley +1 more source
FV-MViT: Mobile Vision Transformer for Finger Vein Recognition. [PDF]
Li X, Feng J, Cai J, Lin G.
europepmc +1 more source
This study shows that a PARP inhibitor combined with anlotinib, administered as bridging therapy, preconditions the tumor microenvironment to enhance the infiltration and antitumor activity of subsequently infused CAR‐T cells across preclinical ovarian cancer models, supporting bridging therapy as a promising strategy to address limited CAR‐T cell ...
Huayi Li +20 more
wiley +1 more source
FV-EffResNet: an efficient lightweight convolutional neural network for finger vein recognition. [PDF]
Tahir YS, Rosdi BA.
europepmc +1 more source
PAFedFV: Personalized and Asynchronous Federated Learning for Finger Vein Recognition [PDF]
With the increasing emphasis on user privacy protection, biometric recognition based on federated learning have become the latest research hotspot. However, traditional federated learning methods cannot be directly applied to finger vein recognition, due
Guo, Jian +3 more
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