Results 161 to 170 of about 1,429,068 (340)

De Novo Reconstruction of 3D Human Facial Images from DNA Sequence

open access: yesAdvanced Science, EarlyView.
This study introduces Difface, a novel deep‐learning model for reconstructing 3D facial images only from DNA data. By integrating transformer networks, spiral convolutions, and a diffusion model, Difface directly aligns high‐dimensional SNP data with 3D facial structures.
Mingqi Jiao   +11 more
wiley   +1 more source

Short Text Clustering via Convolutional Neural Networks [PDF]

open access: hybrid, 2015
Jiaming Xu   +6 more
openalex   +1 more source

Soft Bioelectronic Interfaces for Continuous Peripheral Neural Signal Recording and Robust Cross‐Subject Decoding

open access: yesAdvanced Science, EarlyView.
A soft poly (3,4‐ethylenedioxythiophene):poly (styrenesulfonate)‐based electrode enables continuous, high‐quality recording of peripheral nerve activity. A neural network model integrating handcrafted and convolutional neural network‐based features decodes whisker movements with strong generalization, offering insights into peripheral nerve function ...
Liangpeng Chen   +22 more
wiley   +1 more source

Visual Sentiment Prediction with Deep Convolutional Neural Networks

open access: green, 2014
Can Xu   +3 more
openalex   +2 more sources

Learning and Transferring Mid-level Image Representations Using Convolutional Neural Networks

open access: yes2014 IEEE Conference on Computer Vision and Pattern Recognition, 2014
M. Oquab   +3 more
semanticscholar   +1 more source

Nanoscale Curvature Regulates YAP/TAZ Nuclear Localization Through Nuclear Deformation and Rupture

open access: yesAdvanced Science, EarlyView.
This study uses experiments and biophysical modeling to examine the response and adaptation of cells to nanoscale topography of surfaces. It is shown that cytoskeletal assembly and nuclear localization of transcription regulatory factors such as yes‐associated protein (YAP) and transcriptional coactivator with PDZ‐binding motif (TAZ) can be tuned by ...
Emmet A. Francis   +7 more
wiley   +1 more source

From Code to Life: The AI‐Driven Revolution in Genome Editing

open access: yesAdvanced Science, EarlyView.
This review explores AI‐driven advancements in genome editing, focusing on CRISPR optimization, enhanced targeting precision, reduced off‐target effects, and novel tool design. It addresses ethical challenges, data biases, and highlights future prospects in precision medicine, agriculture, and synthetic biology.
Zhidong Li   +10 more
wiley   +1 more source

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