AI Medical Compendium

A multicenter predictive model for inadvertent intraoperative hypothermia management in elderly patients in Southwest China.

Scientific reports Apr 3, 2026

A crowdsensing intrusion detection dataset for decentralized federated learning models.

Scientific data Apr 3, 2026

This paper introduces a dataset and an experimental study on Decentralized Federated Learning (DFL) for Internet of Things (IoT) crowdsensing malware detection. The dataset comprises behavioral records from benign and eight malware attacks. A total o... read more

Hybrid deep learning techniques for adaptive routing and congestion control in urban VANET for wireless mobile networking.

Scientific reports Apr 3, 2026

Tsunami inversion using deep neural representations.

Scientific reports Apr 3, 2026

Rapid response to ocean disturbance that has tsunamigenic potential requires characterisation of that disturbance. Traditional methods assume seismic sources, which can lead to suboptimal accuracy for non-seismic events. Some more recent approaches u... read more

SoleFusion-Net: an explainable multimodal deep learning framework for diabetic foot syndrome classification in type II diabetes mellitus.

Scientific reports Apr 3, 2026

A framework for a national cancer imaging repository in Nigeria.

Scientific reports Apr 3, 2026

Developing a custom loss function for regulating underestimation and overestimation of concrete mechanical properties predictions in neural network models.

Scientific reports Apr 3, 2026

Single-channel EEG-based seizure prediction using deep learning.

Scientific reports Apr 3, 2026

Reliable seizure prediction can improve patient safety by enabling timely protective actions, yet most high-performing approaches depend on multichannel EEG, limiting feasibility in wearable and low-power environments. This study developed an ultrali... read more

Correlation analysis between the collapsibility of loess and physicomechanical indices in Longdong region and prediction of the collapsibility coefficient based on machine learning.

Scientific reports Apr 3, 2026

Against the backdrop of booming engineering construction in loess areas, achieving rapid and accurate prediction of the loess collapsibility coefficient is of great significance. This study takes the loess in the Longdong area as the research object.... read more

Data-driven prediction of microhardness and tensile strength in microwave-sintered ZrC reinforced AA7075/SiC hybrid composites using machine learning.

Scientific reports Apr 3, 2026

Artificial Intelligence Medical Compendium

A multicenter predictive model for inadvertent intraoperative hypothermia management in elderly patients in Southwest China.

A crowdsensing intrusion detection dataset for decentralized federated learning models.

Hybrid deep learning techniques for adaptive routing and congestion control in urban VANET for wireless mobile networking.

Tsunami inversion using deep neural representations.

SoleFusion-Net: an explainable multimodal deep learning framework for diabetic foot syndrome classification in type II diabetes mellitus.

A framework for a national cancer imaging repository in Nigeria.

Developing a custom loss function for regulating underestimation and overestimation of concrete mechanical properties predictions in neural network models.

Single-channel EEG-based seizure prediction using deep learning.

Correlation analysis between the collapsibility of loess and physicomechanical indices in Longdong region and prediction of the collapsibility coefficient based on machine learning.

Data-driven prediction of microhardness and tensile strength in microwave-sintered ZrC reinforced AA7075/SiC hybrid composites using machine learning.

Popular Topics

Recent Journals

Artificial Intelligence Medical Compendium

Don't Miss the Future of Medicine

Popular Topics

Recent Journals