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Yahoo Finance22d
MicroAlgo Inc. Develops Quantum Convolutional Neural Network (QCNN) Architecture to Enhance the Performance of Traditional Computer Vision Tasks Using Quantum Mechanics Principles
They are developing a Quantum Convolutional Neural Network (QCNN) architecture to enhance the performance of traditional computer vision tasks using quantum mechanics principles. The Quantum ...
University of Sheffield7d
School of Architecture and Landscape
We are one of the leading schools of architecture and landscape architecture in the UK. Our world-renowned researchers and practitioners are committed to developing the next generation and having a ...
ArchDaily28d
Student Competitions
The Faculté de l'aménagement at the Université de Montréal is pleased to announce the launch of an international, multidisciplinary and anonymous ideas competition, reserved for students, to ...
IEEE26d
Deep Convolutional Stack Autoencoder of Process Adaptive VMD Data With Robust Multikernel RVFLN for Power Quality Events Recognition
A novel reduced deep convolutional neural network (RDCNN) embedded with stack autoencoder, that is ... and PAVMD-RDCSAE-MRVFLN methods. Finally, the architecture of the proposed method is designed, ...
IEEE26d
A CNNs-Transformer Hybrid Masked Autoencoder With Contrastive Learning for Landslide Extraction
such as masked autoencoder (MAE) reconstruction and contrastive learning, offer a promising solution by reducing reliance on labeled data. Nonetheless, transformer-based MAEs are computationally ...
GitHub25d
Microbe and disease association prediction based on graph attention convolutional neural network and cosine k-means clustering autoencoder.
Install python3 for running this code（Python 3.6 myself）. And these packages should be satisfied: ...