Frontiers

Deep Learning Integration in Index Modulation for Enhanced Wireless Communication Systems

Index modulation (IM) has emerged as a promising technique for improving spectral efficiency and hardware efficiency in next-generation communication ...
Scientific Research Publishing

Predicting Stock Price Movements Using Deep Learning Techniques ()

Stock Price Prediction, Deep Learning, LSTM, GRU, Attention Mechanism, Financial Time Series Share and Cite: Kirui, D. (2026) ...
GitHub

AbhishekSahgal/Aspect_Based_Sentiment_Analysis

6 Hybrid (BiLSTM + GAT) Hybrid Fusion Attention-fused BiLSTM & GAT 7 Hybrid (GRU + GAT) Hybrid Fusion Attention-fused GRU & GAT (best) 8 Hybrid (AGRU + GAT) Hybrid Fusion Attention-fused AGRU & GAT 9 ...
Journal of Medical Internet Research

Performance Evaluation of Deep Learning for the Detection and Segmentation of Thyroid Nodules: Systematic Review and Meta-Analysis

Methods: We systematically searched multiple databases, including PubMed, Cochrane, Embase, Web of Science, and IEEE, and identified 41 eligible studies for systematic review and meta-analysis. Based ...
IEEE

Robust Multimodal Sentiment Analysis Based on Adaptive Information Distillation and Adversarial Learning

Abstract: Multimodal sentiment analysis (MSA) has exhibited superior performance compared to unimodal sentiment analysis. However, in real-world scenarios, multimodal data are prone to being ...
IEEE

A Code-Switched Arabic-English Sentiment Analysis Approach Based on Deep-Learning

Abstract: Sentiment analysis within Online Social Networks (OSNs) becomes a major challenge. Mainly, because of the large amount of data on social networks and the mix of different languages that can ...