MicroCloud Hologram Inc. Releases Hybrid Quantum-Classical Convolutional Neural Network, Achieving New Breakthrough in MNIST Multi-Class Classification

MicroCloud Hologram Inc. (NASDAQ: HOLO), (“HOLO” or the "Company"), a technology service provider, proposed a Quantum Convolutional Neural Network (QCNN) based on hybrid quantum-classical learning and ...

WiMi Studies Hybrid Quantum-Classical Convolutional Neural Network Model

(NASDAQ: WiMi) ("WiMi" or the "Company"), a leading global Hologram Augmented Reality ("AR") Technology provider, today announced that they are actively exploring a shallow hybrid quantum-classical ...
Scientific Research Publishing

Graph Neural Networks for Anomaly Detection in Cloud Infrastructure ()

Graph Neural Networks for Anomaly Detection in Cloud Infrastructure ...
IEEE

An Anomaly Detection Through Felis Territorial Search Optimized Continual Learning with Variational Auto-Encoder-Based Distributed Convolutional Neural Network (FeTSO-CnVDCN)

Abstract: The advancements in surveillance cameras and their widespread deployment have shifted the research toward autonomous detection of suspicious activities. Anomaly detection in real time is an ...
IEEE

A Hybrid Cnn-Transformer Approach for Multiscale Frequency Domain Adversarial Example Generation

Abstract: Over the past few years, Deep Neural Networks (DNNs) have shown promising results in image classification tasks but remain sensitive to Adversarial Examples (AEs), which are slightly ...
GitHub

Ahmad-211/Neural-Machine-Translation-Urdu-to-Roman-Urdu

This project implements a state-of-the-art Neural Machine Translation (NMT) system that translates Urdu text to Roman Urdu using a sophisticated BiLSTM Encoder-Decoder architecture with Bahdanau ...
GitHub

parrondo/FinancialVision

We are standing at the threshold of the information age, the financial services industry becomes the perfect playing field for machine learning technologies. We dedicate to develop applications of ...
Frontiers

Efficient spiking convolutional neural networks accelerator with multi-structure compatibility

1 College of Electronic Science and Technology, National University of Defense Technology, Changsha, China 2 College of Electronics and Internet of Things, Chongqing Polytechnic University of ...
C&EN

A Multi-Stage Graph Neural Network–Physics-Informed Neural Network (GNN–PINN) Framework for Thermodynamic Property Prediction

Department of Chemistry and Chemical Engineering, Education and Research Center for Smart Energy and Materials, Inha University, Incheon 22212, Republic of Korea ...