IEEE

CMNet: A CNN–Mamba Network for Change Detection With Similarity Orientation and Difference Perception

Abstract: Change detection (CD) is a hot research topic in the field of remote sensing (RS), and using convolutional neural networks (CNNs) and Transformers for CD tasks is the mainstream option ...
IEEE

Recognition of Eye Diseases Based on Convolutional Neural Networks (CNN)

Abstract: In this study, a convolutional neural network (CNN)-based method for eye disease recognition is proposed, aiming to identify multiple common eye diseases through automatic analysis of fundus ...
IEEE

Deep Learning Models for Precision Agriculture: Evaluating CNN Architectures for Accurate Plant Disease Detection

Abstract: Early and precise detection of plant diseases is crucial for enhancing crop yield and minimizing agricultural losses. This paper evaluates the performance of deep learning-based ...
IEEE

LSTA-CNN: A Lightweight Spatiotemporal Attention-Based Convolutional Neural Network for ASD Diagnosis Using EEG

Abstract: Electroencephalography (EEG) is an effective assessment tool to identify autism spectrum disorders with low cost, and deep learning has been applied in EEG analysis for extracting meaningful ...
IEEE

FCTFANet: A Fused CNN-Transformer Feature Aggregator Network for Image Restoration

Abstract: Convolutional neural networks (CNNs) have been foundational in deep learning architectures for image processing, and recently, Transformer networks have emerged, bringing further ...
CNN

VA’s deep cuts, oldest park ranger, non-traditional holiday movies: Catch up on the day’s stories

👋 Welcome to 5 Things PM! Everyone watches “Miracle on 34th Street” and “Elf” over the holidays, but festive vibes come in unexpected forms. So what’s the ultimate non-traditional holiday movie? Fill ...
New York Post

Why CNN staffers should be careful what they wish for in Warner’s Netflix merger

The word inside CNN is that staffers are thrilled that their parent, Warner Bros. Discovery, agreed to merge with Netflix instead of Paramount Skydance. They fear the latter’s Trump-friendly owners, ...
IEEE

Deep Fake Detection using ResNext Convolutional Neural Network (CNN) combined with a Recurrent Neural Network (RNN)

Abstract: The utilization of digital video alterations has been observable for an extended period thanks to skillful deployment of visual enhancements; however, the latest progressions in deep ...
CNN

Scientists used specialized equipment to dive into the ocean’s ‘twilight zone.’ They found creatures never seen before

Only a scattering of light penetrates the deep water, more than 300 feet beneath the ocean surface off the coast of Guam. It’s like twilight to the human eye, even in the middle of the day. This part ...
IEEE

A CUDA-Accelerated Hybrid CNN-DNN Approach for Multi-Class Malware Detection in IoT Networks

Abstract: The Internet of Things (IoT) ecosystem has attracted widespread attention worldwide because of its profound commercial, economic, and social impact on the daily lives of human beings.
IEEE

A Hybrid CNN-LSTM Deep Learning Model for Next-Generation OFDM Channel Estimation in Wireless Networks

Abstract: Orthogonal Frequency Division Multiplexing (OFDM) enables high-rate data transmission wards wirelss broadband connections. Accurate channel estimation continues to be an unsolved issue in ...