IEEE

Category-Based Sentiment Analysis of Sindhi News Headlines Using Machine Learning, Deep Learning, and Transformer Models

Abstract: The rapid growth of digital content has made sentiment analysis (SA) an essential tool for understanding public sentiment and classifying textual data. Despite significant progress in ...
IEEE

On Improving Accuracy of Implicit FDTD Methods with Transformer-based Deep Learning Network

Abstract: The implicit Finite-Difference Time-Domain (FDTD) methods represent a class of algorithms that alleviate or even eliminate the Courant–Friedrich-Lev (CFL) stability condition inherent in ...
Frontiers

Transformer-Enabled Multi-Omics Interpretation: LLM Pipelines for Cross-Dataset Annotation and Uncertainty-Aware Integration

You will be redirected to our submission process. Multi-omics studies now span genomics, epigenomics, transcriptomics, proteomics, metabolomics, microbiomics, and spatial and single-cell modalities, ...

Open source Mamba 3 arrives to surpass Transformer architecture with nearly 4% improved language modeling, reduced latency

This release is good for developers building long-context applications, real-time reasoning agents, or those seeking to ...
Tech Xplore

Hybrid AI model combines graphs and transformers for real-time traffic forecasts

Urban congestion is a big problem in our cities. It leads to commuter delays and economic inefficiency. More tragically, ...