Results 211 to 220 of about 1,925,096 (328)
Real-Time Thermal Spray Process Monitoring Using Convolution Neural Network Deep Learning Architectures [PDF]
Konstantina Malamousi +2 more
openalex +1 more source
AI‐Guided SERS Defines a Pan‐Cancer Diagnostic Biomarker
An AI‐enabled SERS platform integrates automated exosome enrichment with molecular fingerprinting to enable accurate early detection and differential diagnosis of ten common cancers. The system identifies exosomal dATP as a universal Raman biomarker, offering a scalable, noninvasive, and clinically translatable approach for precision oncology ...
Cai Zhang +15 more
wiley +1 more source
Assessment of Deep Convolutional Neural Network Models for the Classification of Benign Fibro-Osseous Lesions of the Jaws. [PDF]
Achararit P +5 more
europepmc +1 more source
Geological modeling using a recursive convolutional neural networks\n approach [PDF]
Sebastian Avalos, Julián M. Ortíz
openalex +1 more source
UniMR, a training‐free framework for automated molecular recognition in STM images. By integrating adaptive feature selection with CLIP embeddings and Gaussian Mixture Modeling, UniMR achieves robust performance across diverse molecular systems and low‐resolution conditions.
Ziqiang Cao +10 more
wiley +1 more source
Intelligent Identification of Micro-NPR Bolt Shear Deformation Based on Modular Convolutional Neural Network. [PDF]
Han G +6 more
europepmc +1 more source
ROBUST FACE ALIGNMENT USING CONVOLUTIONAL NEURAL NETWORKS
Stefan Duffner, Christophe García
openalex +1 more source
ImageNet classification with deep convolutional neural networks
A. Krizhevsky +2 more
semanticscholar +1 more source
ABSTRACT Precise transgene‐free gene upregulation remains a challenge in crop biotechnology, as conventional enhancers often exceed CRISPR‐mediated knock‐in size constraints and face regulatory hurdles. Here we establish a foundational cross‐species resource of compact transcriptional enhancers developed via STEM‐seq, a high‐throughput screening ...
Qi Yao +14 more
wiley +1 more source
Identification of auricular acupoints using a convolutional neural network. [PDF]
Kim J, Kim Y, Yoon DE, Lee IS, Chae Y.
europepmc +1 more source

