Clear Sky Science – Articles (en)

TRANSFORMER MODELS ARTICLES

A transformer approach to forecasting PM10 concentration in the Arctic and Northern Europe

An algorithmic system for arabic fake news detection using neural networks and transformer embeddings with class weighting

ChunkyBERT: a novel technique for multiclass political bias detection in news media

Diamond-DETR: lightweight real-time quality evaluation algorithm for synthetic diamonds

TRGCN: a hybrid framework for social network rumor detection

Lightweight super-resolution method based on scattering processing and feature interaction

A multi-scale adaptive filtering and AtRes_SRU–transformer synergy for breast cancer histopathology classification

SiaCon-DetNet with HySHO: a cutting-edge transformer-based deep learning framework for emotion-aware facial recognition

SV-TransFusion for LiDAR 3D object detection with Sparse Voxel–Query Interaction

A deep learning framework for breast cancer diagnosis using Swin Transformer and Dual-Attention Multi-scale Fusion Network

A lightweight transformer-based hybrid encoder-decoder model for chest X-ray medical report generation

DeepKoopFormer: a Koopman enhanced transformer based architecture for time series forecasting

X2-AQFormer: unveiling dynamic drivers in multi-day hourly air pollution forecasting

FMCL: a transformer-based feature-map classifier learning approach for enhanced brain tumor detection in MRI

Real time fire and smoke detection using vision transformers and spatiotemporal learning

Learning neighborhood-scale cross-dependencies among air pollutants, meteorology and land cover using mobile sensing and transformers

Hallucination-aware learning and latency optimization transformer (HALL-OPT) for real-time edge intelligence

POLAR-DETR: Polarized occlusion-aware local-global attention real-time detection transformer for total laboratory automation

Toward robust automated cardiovascular arrhythmia detection using self-supervised learning and 1-dimensional vision transformers

Advancing APT detection through transformer-driven feature learning and synthetic data generation

Future-aware blood glucose forecasting using knowledge distillation with transformer-based sequence-to-sequence models

A dual attention transformer modelling for explainable mental health analysis in academic environments using TaBERT

Novel transformer-based model for NID in fog computing environment

A hybrid stacked ensemble learning framework for multilabel text emotion detection

The evolution of object detection from CNNs to transformers and multi-modal fusion

PGSFormer: traffic flow prediction based on joint optimization of progressive graph convolutional networks with subseries transformer

Energy-efficient intrusion detection with a protocol-aware transformer–spiking hybrid model

Trustworthy prediction of enzyme commission numbers using a hierarchical interpretable transformer

M3SFormer: multi-stage semantic and style-fused transformer for mural image inpainting

Transformer-based relation extraction and concept normalization using an annotated clinical trials corpus