Results 141 to 150 of about 52,284 (313)

Unraveling the neural correlates of dream recall: Novel insights from deep convolutional nets

, 2018
Arna Ghosh, Arthur Dehgan, Tarek Lajnef, Raphaël Vallat, Jean‐Baptiste Eichenlaub, Perrine Ruby, Karim Jerbi   +6 more
openalex   +1 more source

Image Fusion for Super‐Resolution Mass Spectrometry Imaging of Plant Tissue

Advanced Science, EarlyView.
A loss controlled residual network (LCRN) workflow is developed for super‐resolution fusion of plant mass spectrometry imaging data. LCRN uses a novel edge perceptual loss metric to preserve complex plant tissue morphology. LCRN achieves up to 20‐fold magnification while effectively combining chemical information from mass spectrometry with ...
Yuchen Zou, Shipeng Sun, Weiwei Tang, Bin Li   +3 more
wiley   +1 more source

255 Shades of Grey: Using Grey-Scaled Images and Convolutional Neural Nets to Forecast Tomorrow's Stock Returns

, 2022
Thomas Heil, Nils Marthiensen, Franziska J. Peter   +2 more
openalex   +1 more source

Diffusion‐MRI‐Based Estimation of Cortical Architecture via Machine Learning (DECAM) in Primate Brains

Advanced Science, EarlyView.
We present Diffusion‐MRI‐based Estimation of Cortical Architecture via Machine Learning (DECAM), a deep‐learning framework for estimating primate brain cortical architecture optimized with best response constraint and cortical label vectors. Trained using macaque brain high‐resolution multi‐shell dMRI and histology data, DECAM generates high‐fidelity ...
Tianjia Zhu, Minhui Ouyang, Shufang Tan, Jianlin Guo, Ziqin Zhang, Xuan Liu, Risheng Liu, Hao Huang   +7 more
wiley   +1 more source

DualPG‐DTA: A Large Language Model‐Powered Graph Neural Network Framework for Enhanced Drug‐Target Affinity Prediction and Discovery of Novel CDK9 Inhibitors Exhibiting in Vivo Anti‐Leukemia Activity

Advanced Science, EarlyView.
This study introduces DualPG‐DTA, a framework integrating two pre‐trained models to generate molecular and protein representations. It constructs dual graphs processed by specialized neural networks with dynamic attention for feature fusion, achieving superior benchmark performance.
Yihao Chen, Jindi Huang, Cong Liu, Shipeng Zhang, Xinze Li, Zhang Zhang, Tie‐Gen Chen, Ling Wang   +7 more
wiley   +1 more source

Door and cabinet recognition using Convolutional Neural Nets and real-time method fusion for handle detection and grasping

, 2017
Adrian Llopart, Ole Ravn, N. Andersen
openalex   +2 more sources

HiST: Histological Images Reconstruct Tumor Spatial Transcriptomics via MultiScale Fusion Deep Learning

Advanced Science, EarlyView.
HiST, a multiscale deep learning framework, reconstructs spatially resolved gene expression profiles directly from histological images. It accurately identifies tumor regions, captures intratumoral heterogeneity, and predicts patient prognosis and immunotherapy response.
Wei Li, Dong Zhang, Eryu Peng, Shijun Shen, Hamid Alinejad‐Rokny, Yao Liu, Junke Zheng, Cizhong Jiang, Youqiong Ye   +8 more
wiley   +1 more source

Probability Voting-based Ensemble of Convolutional Neural nets Classifiers for Image Classification

, 2019
Sarwo, Yaya Heryadi, Widodo Budiharto, Edi Abdurachman   +3 more
openalex   +1 more source

Convolutional Neural Nets: Foundations, Computations, and New Applications [PDF]

, 2021
Shengli Jiang, Ví­ctor M. Zavala
openalex  

Broadband All‐Optical Memtransistor Based on Organic Cocrystals for Noise‐Robust Motion Recognition

Advanced Science, EarlyView.
This work presents an all‐optical synaptic transistor using DTT‐TCNQ organic charge transfer cocrystals, achieving broadband bidirectional modulation (395–808 nm) with highly linear synaptic plasticity (nonlinearity coefficients αp = 0.00191, αd = 0.00305).
Zhaohui Cai, Yuxiao Fang, Wenjie Du, Zhengjun Liu, Yingli Shi, Jiahua Luo, Rui Wu, Lixing Kang, Chun Zhao   +8 more
wiley   +1 more source