Tag: transformers

A three-stage CNN and transformer pipeline identified satellite image types and detected oil with high reported accuracy, while a lightweight ...

Simulated distribution-grid case studies found that a serverless, committee-based federated-learning framework combined near-centralized false-data-injection detection with resistance to tested malicious ...

A single-university study found that jointly predicting semester course sets and grades reduced a Transformer’s mean absolute grade-prediction error by ...

A dual-stream AI recommender balances recent intentions with long-term preferences through a personalized gate that detects changing tastes.

A new survey in Artificial Intelligence Review provides the first comprehensive map of language modeling for tabular data, tracing the ...

A systematic review maps how deep learning architectures are transforming EEG analysis for neurological disease diagnosis, while warning that data ...

Researchers built ViTDrone, a Vision Transformer framework that simultaneously steers a drone through corridors and detects collisions while using Grad-CAM ...

A max-plus neural architecture aligns deep learning with the polyhedral structure of phylogenetic tree space, cutting distance-matrix error by more ...

A new review shows that hybrid deep learning and swarm-optimized AI models are achieving near-perfect prediction of lithium-ion battery charge, ...

A new systematic review and meta-analysis of 23 studies finds that machine learning models for peptide–target interaction prediction achieve strong ...