Latest AI and machine learning research in care of terminally ill / palliative care for healthcare professionals.
The rapid development of deep learning, a family of machine learning techniques, has spurred much in...
In this paper, we investigate the synchronization problem on delayed memristive neural networks (MNN...
Interest in machine-learning applications within medicine has been growing, but few studies have pro...
In the last decades, huge efforts have been made in the bioinformatics community to develop machine ...
Building spiking neural networks (SNNs) based on biological synaptic plasticities holds a promising ...
During process development, the experimental search space is defined by the number of experiments th...
Echo state networks (ESNs) are randomly connected recurrent neural networks (RNNs) that can be used ...
Recently, pervasive sensing technologies have been widely applied to comprehensive patient monitorin...
Selection hyper-heuristics (HHs) are randomised search methodologies which choose and execute heuris...
With an estimated 160,000 deaths in 2018, lung cancer is the most common cause of cancer death in th...
The role of 3'-end stem-loops in retrotransposition was experimentally demonstrated for transposons ...
INTRODUCTION: Poor road and communication infrastructure pose major challenges to tuberculosis (TB) ...
Data augmentation is a widely used technique for enhancing the generalization ability of deep neural...
Benign strictures of the esophagus are commonly encountered in clinical practice and are difficult ...
A variety of machine learning methods such as naive Bayesian, support vector machines and more recen...
Understanding sleep and its perturbation by environment, mutation, or medication remains a central p...
Predicting protein structure from sequence is a central challenge of biochemistry. Co-evolution meth...
BACKGROUND: Interconnections between major cardiovascular events (MCVEs) and renal events are recogn...
Human activity recognition has been widely used in healthcare applications such as elderly monitorin...
This paper first reviews current ergonomics design approaches in delivering digital solutions to ach...
This study aims to analyse the long-term effects (6 months follow-up) of upper limb Robot-assisted T...