Results 141 to 150 of about 232,443 (272)

Hands-On Fundamentals of 1D Convolutional Neural Networks—A Tutorial for Beginner Users [PDF]

Ilaria Cacciari, A. Ranfagni
openalex   +1 more source

Production Scheduling based on Deep Reinforcement Learning using Graph Convolutional Neural Network

, 2020
Takanari Seito, Satoshi Munakata
openalex   +1 more source

Training Interpretable Convolutional Neural Networks by Differentiating Class-specific Filters [PDF]

, 2020
Haoyu Liang, Zhihao Ouyang, Yuyuan Zeng, Hang Su, Zihao He, Shu‐Tao Xia, Jun Zhu, Bo Zhang   +7 more
openalex   +1 more source

Explicit Compression Degradation Estimations for Low‐Sampling Single‐Pixel Imaging using Hadamard Basis

Advanced Science, EarlyView.
This study proposes a degradation estimation technique to explicitly describe compressive sampling for low‐sampling Hadamard single‐pixel imaging. Blur kernels in explicit degradation models are estimated by the self‐supervised learning method without labeled data and implicit priors.
Haoyu Zhang, Jie Cao, Chang Zhou, Haifeng Yao, Qun Hao   +4 more
wiley   +1 more source

Maintaining Symmetry between Convolutional Neural Network Accuracy and Performance on an Edge TPU with a Focus on Transfer Learning Adjustments [PDF]

Christian DeLozier, Justin A. Blanco, Ryan Rakvic, James Shey   +3 more
openalex   +1 more source

Vehicle Data Aggregation from Highway Video of Madurai City Using Convolution Neural Network

, 2020
P. Sugantha Priyadharshini, P. Karthikeyan   +1 more
openalex   +1 more source

Revisiting convolutional neural network on graphs with polynomial approximations of Laplace-Beltrami spectral filtering [PDF]

, 2020
Shih-Gu Huang, Moo K. Chung, Anqi Qiu, Alzheimer’s Disease Neuroimaging Initiative   +3 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

Quasi‐Periodic Porous Structures‐Based Temperature and Pressure Dual‐Mode Electronic Skin for Material Cognition

Advanced Science, EarlyView.
A quasi‐periodic porous structure‐based temperature and pressure dual‐mode electronic skin was proposed. Benefiting from the quasi‐periodic porous structure, the temperature and pressure sensing performance of the electronic skin can be precisely constructed and optimized by changing the size of the porous structure. By analyzing the thermoelectric and
Xiaoguang Gao, Chengzhen Xue, Xiaoliang Zhang, Xuejuan Meng, Xiaochun Li, Li Niu   +5 more
wiley   +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