Real-time embedded detection of bradycardia, tachycardia, and arrhythmia using photoplethysmography and on-device convolutional neural networks

PsoriaNET: An attention-based deep convolutional neural network for automated psoriasis detection with explainable AI

M. Kabir, K. Tanvir, Tasnim Sultana Sintheia, Dipta Gomes, Akinul Islam Jony

EEG-based emotion recognition using super-resolution superlet transform and self-attention convolutional neural network

Himanshu Kumar, Satyavratan Govindarajan, M. S. Ramakrishnan, P. A. Karthick, Nagarajan Ganapathy

Heart sound classification based on improved GFCC features and multi-attention fusion convolutional neural networks

Xiyun Liu, Yang Yang, Lijun Yang, Xiaohui Yang, Chen Zheng

EEG-ConvMamba: Motor imagery EEG decoding and visualization via convolutional neural networks and Mamba⋆

Jianxin Huang, Yinghui Chang, Sen Yang, Jigang Tong, Kai Zhang, Shengzhi Du

Prediction of adverse drug reactions using gene expression data and neural networks with synthetic data augmentation

Sotirios Kannas, I. Georgakopoulos-Soares, A. Zaravinos

A lightweight ALO optimized and learnable skip-connection integrated ResNet architecture for breast cancer diagnosis

Hiren Mewada, Ivan Miguel Pires, Hiren Kumar Thakkar, Amit Patel

Breast cancer is a global health concern, and early detection through screening programs is crucial for reducing mortality. Deep Convolutional Neural Networks (CNNs) are widely adopted for image classification, but their accuracy depends on the number of layers, structure paramet…Read more

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