„convolution“

Suchergebnisse

10.000+ Treffer

• Energy Profile Bayes and Thompson Optimized Convolutional Neural Network protein structure prediction
  Nallasamy, Varanavasi ; Seshiah, Malarvizhi
• Improved deep convolutional neural network-based COOT optimization for multimodal disease risk prediction
  Irene, D. Shiny ; Lakshmi, M. ; Kinol, A. Mary Joy ; Kumar, A. Joseph Selva
• Convolutional neural networks combined with Runge–Kutta methods
  Zhu, Mai ; Chang, Bo ; Fu, Chong
• Classification of physiological disorders in apples fruit using a hybrid model based on convolutional neural network and machine learning methods
  Buyukarikan, Birkan ; Ulker, Erkan
• Diagnosis of Alzheimer’s, Parkinson’s disease and frontotemporal dementia using a generative adversarial deep convolutional neural network
  Noella, R. S. Nancy ; Priyadarshini, J.
• Effective hybrid graph and hypergraph convolution network for collaborative filtering
  Li, Xunkai ; Guo, Ronghui ; Chen, Jianwen ; Hu, Youpeng ; Qu, Meixia ; Jiang, Bin
• Convolutional neural network based tea leaf disease prediction system on smart phone using paas cloud
  Lanjewar, Madhusudan Ganuji ; Panchbhai, Kamini G.
• An attention-guided convolutional neural network for automated classification of brain tumor from MRI
  Saurav, Sumeet ; Sharma, Ayush ; Saini, Ravi ; Singh, Sanjay
• Towards an efficient backbone for preserving features in speech emotion recognition: deep-shallow convolution with recurrent neural network
  Goel, Dev Priya ; Mahajan, Kushagra ; Nguyen, Ngoc Duy ; Srinivasan, Natesan ; Lim, Chee Peng
• Multi-domain fusion deep graph convolution neural network for EEG emotion recognition
  Bi, Jinying ; Wang, Fei ; Yan, Xin ; Ping, Jingyu ; Wen, Yongzhao
• A note on Hadamard–Bergman convolution operators
  Karapetyants, Alexey ; Morales, Evelyn
• A novel genetic algorithm-based approach for compression and acceleration of deep learning convolution neural network: an application in computer tomography lung cancer data
  Skandha, Sanagala S. ; Agarwal, Mohit ; Utkarsh, Kumar ; Gupta, Suneet K. ; Koppula, Vijaya K. ; Suri, Jasjit S.
• Global balanced iterative pruning for efficient convolutional neural networks
  Chang, Jingfei ; Lu, Yang ; Xue, Ping ; Xu, Yiqun ; Wei, Zhen
• A novel invasive plant detection approach using time series images from unmanned aerial systems based on convolutional and recurrent neural networks
  Guo, Yanhui ; Zhao, Yun ; Rothfus, Thomas A. ; Avalos, Adam S.
• Content-based image retrieval for the diagnosis of myocardial perfusion imaging using a deep convolutional autoencoder
  Higaki, Akinori ; Kawaguchi, Naoto ; Kurokawa, Tsukasa ; Okabe, Hikaru ; Kazatani, Takuro ; Kido, Shinsuke ; Aono, Tetsuya ; Matsuda, Kensho ; Tanaka, Yuta ; Hosokawa, Saki ; Kosaki, Tetsuya ; Kawamura, Go ; Shigematsu, Tatsuya ; Kawada, Yoshitaka ; Hiasa, Go ; Yamada, Tadakatsu ; Okayama, Hideki
• Elderly people activity monitoring with involved binary sensors and Deep Convolution Neural Network
  Rajesh, P. ; Kavitha, R.
• A multi-scale channel-wise convolution-based multi-level heat stress assessment
  Nagpal, Chetna ; Upadhyay, Prabhat Kumar
• Piecewise graph convolutional network with edge-level attention for relation extraction
  Yuan, Changsen ; Huang, Heyan ; Feng, Chong ; Cao, Qianwen
• Estimation of missing air pollutant data using a spatiotemporal convolutional autoencoder
  Wardana, I Nyoman Kusuma ; Gardner, Julian W. ; Fahmy, Suhaib A.
• Application of a Convolutional Neural Network for Multitask Learning to Simultaneously Predict Microvascular Invasion and Vessels that Encapsulate Tumor Clusters in Hepatocellular Carcinoma
  Chu, Tongjia ; Zhao, Chen ; Zhang, Jian ; Duan, Kehang ; Li, Mingyang ; Zhang, Tianqi ; Lv, Shengnan ; Liu, Huan ; Wei, Feng