Editorial for "Infant Brain Age Estimation With T1w/T2w Ratio MRI: A Myelination-Aware Deep Learning Approach". [PDF]
Soares BP, Dehkharghani S.
europepmc +1 more source
The physical realization of artificial neurons is a critical challenge for energy‐efficient neuromorphic computing. This review presents a comprehensive analysis of the evolution of artificial neuron implementations from conventional CMOS to emerging post‐CMOS technologies.
Kannan Udaya Mohanan +4 more
wiley +1 more source
Dynamic beat-to-beat blood pressure estimation using a multi-modal wearable deep learning approach. [PDF]
Li Q +10 more
europepmc +1 more source
A defect‐engineered Ag/Gd2O3:Nb2O5/Pt rare earth composite oxide memristor enables stable multilevel reservoir states through pulse driven conductance modulation. Experimentally measured device responses are incorporated into a device aware reservoir computing framework for CIFAR‐100 image classification, highlighting the potential of rare earth ...
Hammad Ghazanfar +9 more
wiley +1 more source
Kinetics‐Controlled Architecture of Binder‐Free Organic Electrodes for Enhanced Ion Transport
Pulse reverse electrodeposition controls nucleation and growth to create hierarchically porous Py‐derived oligomeric electrodes with enhanced ionic accessibility and reduced transport resistance. The resulting binder‐free architectures translate these transport advantages into practical sodium‐storage functionality.
Satendra Kumar +1 more
wiley +1 more source
Deep learning approach for art style recognition and colour restoration in visual art images. [PDF]
Zhang H.
europepmc +1 more source
Deep learning approaches for preprocessing and analysis of neuroimaging data
openIn the last decade, human neuroscience has been profoundly impacted by the appearance of large, publicly available databases comprising neuroimaging data of hundreds to thousands of participants.
WATHTHE LIYANAGE, WAGEESHA WIDURANGA
core
Physics‐Grounded Materials Artificial Intelligence for Reliable Materials Discovery
Physics‐Grounded Materials AI (PhysMat AI) integrates physical priors, descriptors, constraints, verification, and data infrastructure into a unified full‐stack framework, enabling reliable, interpretable, and autonomous AI‐driven materials discovery.
Yuhang Wang +3 more
wiley +1 more source
Reply : CATALYZE: a deep learning approach for cataract assessment and grading on SS-OCT images. [PDF]
Panthier C, Zeboulon P.
europepmc +1 more source
Covalent Functionalization of 2D Semiconductors: A Roadmap to Advanced Electronic Devices
This Review presents recent advances in the covalent functionalization strategies for two‐dimensional semiconductors and their implementation in modern technologies. Layered materials are modified through diverse molecular chemistries (e.g., thiols, diazonium salts, alkyl halides, and electron‐deficient species) to tailor their surface properties ...
Ramiro Quirós‐Ovies +2 more
wiley +1 more source

