eLife

Barcode activity in a recurrent network model of the hippocampus enables efficient memory binding

The representation of individual memories in a recurrent neural network can be efficiently differentiated using chaotic recurrent dynamics.
CNET

I Just Saw the Wireless Body-Transmitting Network That My Future Wearables Need

Ixana's Wi-R network could help smart glasses stream more reliably to other connected wearables. After seeing a few demos at ...
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

Real-Time ECG Signal Classification Using Recurrent Neural Networks

Abstract: This study investigates the use of Recurrent Neural Networks (RNNs) for real-time ECG signal classification. The CNN-RNN hybrid model achieved the highest accuracy of 97.5% and an F1-score ...
IEEE

Automated Sleep Stage Classification Using Multi-Channel EEG Time-Frequency Features and CNN-BiLSTM Hybrid Networks

Abstract: This research presents a high-accuracy deep learning framework for automated sleep stage classification, leveraging a hybrid CNN-BiLSTM architecture combined with multi-channel EEG ...
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 ...
Hosted on MSN

CNN panel: Trump's "windmill derangement syndrome" vs. "all-of-the-above energy policy"

CNN's Abby Phillip hosts a panel discussion on President Trump halting federal leases for five of the largest offshore wind projects under construction. Trump proposes new monument near Lincoln ...
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

A Novel Deep Recurrent Neural Network for Quality Prediction of Cigarette Filter Rod

Abstract: Ensuring the quality of cigarette filter rods is paramount in tobacco manufacturing, as defects can compromise product integrity and consumer safety. Traditional quality inspection methods ...
IEEE

Adaptive Output Feedback Control Using Lyapunov-Based Deep Recurrent Neural Networks (Lb-DRNNs)

Abstract: Unlike traditional feedforward neural networks, recurrent neural networks (RNNs) possess a recurrent connection that allows them to retain past information. This internal memory enables RNNs ...
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 ...