Results 201 to 210 of about 552,282 (301)
Temporal Convolutional Neural Networks for Diagnosis from Lab Tests
Narges Razavian, David Sontag
openalex +2 more sources
A novel chromatin‐labeling probe is developed to investigate chromatin mobility during differentiation. The silicon rhodamine–conjugated dCTP is efficiently delivered into iPSCs and NSCs using a synthetic transporter. Super‐resolution microscopy and single‐particle tracking show decreased chromatin mobility during differentiation.
Maruthi K. Pabba +11 more
wiley +1 more source
Spatiotemporal analysis of mangroves using median composites and convolutional neural network. [PDF]
R K, P S M, D C AP, S S.
europepmc +1 more source
Painting Peptides With Antimicrobial Potency Through Deep Reinforcement Learning
AMPainter is a powerful design model for ’painting’ the antimicrobial potency on any given peptide sequence, based on the strategy of virtual directed evolution and deep reinforcement learning. Abstract In the post‐antibiotic era, antimicrobial peptides (AMPs) are considered ideal drug candidates because of their lower likelihood of inducing resistance.
Ruihan Dong, Qiushi Cao, Chen Song
wiley +1 more source
A multi-stage 3D convolutional neural network algorithm for CT-based lung segment parcellation. [PDF]
Siddharthan T +11 more
europepmc +1 more source
DeepFix: A Fully Convolutional Neural Network for predicting Human Eye Fixations
Srinivas S S Kruthiventi +2 more
openalex +2 more sources
The ZnO QDs@CsPbBr3 poly‐heterocrystalline film, featuring a semi‐coherent interface, delivers high electrical conductivity and excellent photoelectric properties. Functioning as a floating gate in photosensitive transistors, it enables high hole storage at 1 V and achieves a conductivity ratio of ≈3.57×105.
Jiajun Xu +9 more
wiley +1 more source
An innovative peptide toxicity prediction model based on multi-scale convolutional neural network and residual connection. [PDF]
Zhang S, Ren J, Liang Y.
europepmc +1 more source
Convolutional Neural Networks for Detecting and Mapping Crowds in First Person Vision Applications [PDF]
Juan Sebastián Olier +3 more
openalex +1 more source
Continuous Physics‐Informed Learning Expedited Battery Mechanism Decoupling
A battery modeling framework combining dual neural networks with physical prior is presented to track internal mechanisms, decouple overpotential components, and early predict aging trajectories using only DC data, eliminating the need for additional measurements.
Shanling Ji +7 more
wiley +1 more source

