IEEE

A Novel Transformer-CNN Hybrid Deep Learning Architecture for Robust Broad-Coverage Diagnosis of Eye Diseases on Color Fundus Images

Abstract: We present a novel and robust deep-learning architecture that takes into account the pathological characteristics of eye diseases on color fundus images. The proposed hybrid architecture is ...
GitHub

kk-digital/ref-ml-RWKV-LM

RWKV-7 "Goose" is the strongest linear-time & constant-space (no kv-cache) & attention-free & 100% RNN architecture on this planet at this moment, suitable for LLM and multimodal applications and more ...
Frontiers

1DCNN-BiLSTM-transformer hypertension risk prediction model based on APW

Introduction: Hypertension has a multifactorial etiology. Recent studies have revealed a link between hypertension and gut microbiota dysbiosis. Pulse wave analysis holds significant clinical value ...
IEEE

MHAFF: Multihead Attention Feature Fusion of CNN and Transformer for Cattle Identification

Abstract: Convolutional neural networks (CNNs) have drawn researchers’ attention to identifying cattle using muzzle images. However, CNNs often fail to capture long-range dependencies within the ...