Results 181 to 190 of about 525,499 (288)

Faster region based convolution neural network with context iterative refinement for object detection

Kishore Anthuvan Sahayaraj K., G. Balamurugan   +1 more
openalex   +1 more source

Scaling All-Goals Updates in Reinforcement Learning Using Convolutional Neural Networks

, 2020
Fabio Pardo, Vitaly Levdik, Petar Kormushev   +2 more
openalex   +2 more sources

EdgeCNN: Convolutional Neural Network Classification Model with small inputs for Edge Computing [PDF]

, 2019
Shunzhi Yang, Zheng Gong, Kai Ye, Yungen Wei, Zheng Huang, Zhenhua Huang   +5 more
openalex   +1 more source

S3RL: Enhancing Spatial Single‐Cell Transcriptomics With Separable Representation Learning

Advanced Science, EarlyView.
Separable Spatial Representation Learning (S3RL) is introduced to enhance the reconstruction of spatial transcriptomic landscapes by disentangling spatial structure and gene expression semantics. By integrating multimodal inputs with graph‐based representation learning and hyperspherical prototype modeling, S3RL enables high‐fidelity spatial domain ...
Laiyi Fu, Penglei Wang, Gaoyuan Xu, Jitao Lu, Qinke Peng, Danyang Wu, Hequan Sun   +6 more
wiley   +1 more source

Layer-specific approximate multipliers for energy-precision trade-offs in convolutional neural networks. [PDF]

Sci Rep
Sayadi L, Moaiyeri MH, Timarchi S.
europepmc   +1 more source

Real-Time Thermal Spray Process Monitoring Using Convolution Neural Network Deep Learning Architectures [PDF]

Konstantina Malamousi, Konstantinos K. Delibasis, Spyros Kamnis   +2 more
openalex   +1 more source

AI‐Guided SERS Defines a Pan‐Cancer Diagnostic Biomarker

Advanced Science, EarlyView.
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, Wen‐Hui Zhao, Duo Zuo, Tianxing Zhou, Wenjing Hou, Lingwei Wang, Shangheng Shi, Yang Yang, Yuanyuan Liu, Shao‐Kai Sun, Li Ren, Zhaoxiang Ye, Dingbin Liu, Dong Li, Xiaoyuan Chen, Jihui Hao   +15 more
wiley   +1 more source

Fatigue Crack Length Estimation Using Acoustic Emissions Technique-Based Convolutional Neural Networks. [PDF]

Sensors (Basel)
Migot A, Saaudi A, Joseph R, Giurgiutiu V.   +3 more
europepmc   +1 more source

Geological modeling using a recursive convolutional neural networks\n approach [PDF]

, 2019
Sebastian Avalos, Julián M. Ortíz
openalex   +1 more source

UniMR: A Plug‐and‐Play Framework of Automated Molecular Recognition for Scanning Tunneling Microscopy

Advanced Science, EarlyView.
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, Lingyin Zhang, Bingzheng Wu, Haonan Chen, Junhao Sun, Linghao Yan, Wenfei Li, Yangyang Wu, Zhifang Wang, Qigang Zhong, Lifeng Chi   +10 more
wiley   +1 more source