Results 231 to 240 of about 2,731,437 (281)

Application of deep learning methods in the classification of normal and pneumonia lung images. [PDF]

Front Med (Lausanne)
Kabak M, Baran MT, Çil B.
europepmc   +1 more source

Self‐Powered Flexible Triboelectric‐Gated Ion‐Gel Transistor for Neuromorphic Tactile Sensing and Human Activity Recognition

Advanced Materials, EarlyView.
A fully flexible ion‐gel‐gated graphene‐channel transistor driven by a triboelectric nanogenerator enables self‐powered tactile sensing and synaptic learning. Mimicking spike‐rate‐dependent plasticity, the device exhibits frequency‐selective potentiation and depression, supporting rate‐coded neuromorphic computation even under flex.
Hanseong Cho, Seoyeon Park, Youngmin Lee, Sejoon Lee   +3 more
wiley   +1 more source

A Hybrid Deep Learning Architecture for Content Request Prediction in the Internet of Vehicles. [PDF]

Sensors (Basel)
Rezki A, Guezouli L, Benyahia A, Boubiche DE, Mabane MZ, Chine S, Toral-Cruz H, Martínez-Peláez R, Ramirez-Pacheco JC.   +8 more
europepmc   +1 more source

Multifunctional Bio‐Based Packaging for Perishable Foods: Structural Design, Scalable Fabrication, and Versatile Applications

Advanced Materials, EarlyView.
An overview of design principles and scalable fabrication strategies for multifunctional bio‐based packaging. Radiative cooling films, modified‐atmosphere films/membranes, active antimicrobial/antioxidant platforms, intelligent optical/electrochemical labels, and superhydrophobic surfaces are co‐engineered from material chemistry to mesoscale structure
Lei Zhang, Jiaqi Zhang, Mei Cui, Wei Qi, Renliang Huang, Rongxin Su, Kai Zhang   +6 more
wiley   +1 more source

A novel lightweight deep learning model for early prediction of cardiovascular disease. [PDF]

Front Artif Intell
Gul N, Khan A, Su'ud MM, Alam MM, Skandri D.   +4 more
europepmc   +1 more source

Inverse Design of Amorphous Materials With Targeted Properties

Advanced Materials, EarlyView.
AMDEN is a diffusion model framework for the inverse design of amorphous materials with targeted properties. By incorporating Hamiltonian Monte Carlo refinement into the denoising process, the framework overcomes the challenge of generating thermally relaxed disordered structures.
Jonas A. Finkler, Yan Lin, Tao Du, Jilin Hu, Morten M. Smedskjaer   +4 more
wiley   +1 more source

Is the molecular microenvironment of the latent HIV reservoir predictable using deep learning approaches? [PDF]

J Virol
Chen H-C.
europepmc   +1 more source

Toward ultimate NMR resolution with deep learning. [PDF]

Sci Adv
Jahangiri A, Agback T, Brath U, Orekhov V.   +3 more
europepmc   +1 more source