IEEE

A Review of Underwater Target Recognition Based on Deep Learning Models

Abstract: Underwater detection technology is widely used in ocean exploration nowadays, but it has some problems such as noisy detection signals, difficult feature extraction and complicated ...
IEEE

Fraudulent Credit Card Transaction Monitoring Using Deep Learning: A CNN-LSTM Approach for Single-Transaction Security Identification

Abstract: Credit card cash-out methods have become increasingly complex, with new fraudulent transaction forms emerging continuously. Effective management is hindered by challenges in obtaining ...
IEEE

MFC-CNN: A Deep Learning Framework for Urban Building Height Estimation from GF-7 Imagery

Abstract: Estimating building heights by generating disparity maps from multi-view satellite images through stereo matching remains challenging in urban research. However, disparity maps produced by ...
IEEE

Automated Food Spoilage Detection Using Deep Learning: A CNN-Based Approach

Abstract: Food spoilage detection is critical in ensuring food safety and reducing waste. In this work, we offer a new neural network model, rotOrNot, intended for image analysis-based rotten food ...
IEEE

Adversial Learning Through GAN and Feature Extraction Through CNN for Deep Fake Detection

Abstract: Deepfake technology, using deep learning, creates highly realistic yet artificial media, creating challenges for security and privacy. Convolutional Neural Networks (CNNs) play a crucial ...
IEEE

Transfer Learning-Enhanced CNN-LSTM Model for Banana Plant Disease Detection

Abstract: Bananas are one of the widely cultivated and eaten fruits globally, playing a effective role in the agricultural economy of many regions, including tropical and subtropical regions. However, ...
IEEE

Deep Learning Approaches for Classifying ECG Images with CNN and Transfer Learning

Abstract: Heart diseases continue to affect people worldwide leading to illness and death. Accurate and dependable diagnostic tools are very essential for early detection. In this work, four ...
KTVZ

Speak in code, delete the chats: The tactics Venezuelans are using out of fear of phone checks

These recent WhatsApp messages of a Venezuelan family – who asked to remain anonymous for fear of reprisals – underscore the caution civilians are taking in their daily conversations, on social media ...
IEEE

A Fault-Tolerant Deep Learning Model Integrating CNN and NLP Techniques for Reusable Software Components

Abstract: This study proposes a fault-tolerant deep learning framework that synergistically combines Convolutional Neural Networks (CNNs) and Natural Language Processing (NLP) techniques to enhance ...
GitHub

1092560037/Six-Basic-DeepLearning-Models

Model test/ ├── 📁 LeNet5/ LeNet-5模型实现 ├── 📁 AlexNet/ AlexNet模型实现 ├── 📁 VggNet/ VGGNet模型实现 ├── 📁 GoogLeNet/ GoogLeNet模型实现 ├── 📁 ResNet/ ResNet模型实现 ├── 📁 DenseNet ...
CNN

Europe is learning that a ‘deal’ with Trump doesn’t exist

A version of this story appeared in CNN Business’ Nightcap newsletter. To get it in your inbox, sign up for free here. In an interview with CNBC just after he posted the news on his social media site, ...
IEEE

Deploying Deep Learning for Real-Time Tsunami Monitoring: A CNN-LSTM Model for Sensor-Based Prediction

Abstract: Early detection of tsunamis is essential for disaster risk reduction and minimizing loss of life. This research introduces an advanced deep learning-based tsunami detection model that ...