A deep learning approach for blood glucose monitoring and hypoglycemia prediction in glycogen storage disease
Traditionally, patients with GSD have had to be hospitalized or rely on fingerprick tests at home to monitor and manage...
Learning methods
A quantum inspired machine learning approach for multimodal Parkinson’s disease screening
Data descriptionWe utilized the mPower public research portal, which contains measurements from over 6,000 participants—both healthy and those affected by...
Federated learning with integrated attention multiscale model for brain tumor segmentation
This section offers a comprehensive summary of the proposed research and also outlines the procedures for data preparation, preprocessing, and...
The MacqD deep-learning-based model for automatic detection of socially housed laboratory macaques
Data collectionA collection of video recordings, subsequently referred as Macaque data, was acquired at the macaque research facility of Newcastle...
Reinforcement learning-driven task migration for effective temperature management in 3D noc systems
This section will initially present the assumptions of the problem. Subsequently, we will provide a concise specification of the cooling...
The Business Case for Visual Learning in Corporate Training and Schools
In an increasingly competitive marketplace where efficiency and effectiveness are paramount, businesses and educational institutions alike are turning to innovative...
