Latest AI and machine learning research in work force for healthcare professionals.
This paper presents an integrated hybrid optimization algorithm for training the radial basis function neural network (RBF NN). Training of neural networks is still a challenging exercise in machine learning domain. Traditional training algorithms in general suffer and trap in local optima and lead to premature convergence, which makes them ineffective when applied for datasets with diverse featur...
In this article, we propose the deep neural network Adversarial Threshold Neural Computer (ATNC). The ATNC model is intended for the de novo design of novel small-molecule organic structures. The model is based on generative adversarial network architecture and reinforcement learning. ATNC uses a Differentiable Neural Computer as a generator and has a new specific block, called adversarial thresho...
Motor deficits are common outcomes of neurological conditions such as stroke. In order to design personalised motor rehabilitation programmes such as ...
Many automatic classifiers were introduced to aid inference of phenotypical effects of uncategorised nsSNVs (nonsynonymous Single Nucleotide Variation...
Parametrization of small organic molecules for classical molecular dynamics simulations is not trivial. The vastness of the chemical space makes appro...
In order to properly control rehabilitation robotic devices, the measurement of interaction force and motion between patient and robot is an essential...
In the last decade robotic devices have been applied in rehabilitation to overcome walking disability in neurologic diseases with promising results. R...
Trained recurrent networks are powerful tools for modeling dynamic neural computations. We present a target-based method for modifying the full connec...
The main objective of this work was to determine the abundance and species diversity of fungi in the waters of selected rivers of Central Europe, NE P...
Populations of neurons display an extraordinary diversity in the behaviors they affect and display. Machine learning techniques have recently emerged ...
Advancement of Artificial Intelligence (AI) capabilities in medicine can help address many pressing problems in healthcare. However, AI research endea...
This paper describes an analysis of the diversity and chemical toxicity assessment of three chemical libraries of compounds from African flora (the p-...
Molecular typing techniques are key tools in surveillance of food spoilage yeasts, in investigations on intra-species population diversity, and in tra...
The purpose of the study was to understand the effect of robotic finger perturbation training on steadiness in finger posture and hand dexterity in he...
(Co-)combustion characteristics of sewage sludge (SS), coffee grounds (CG) and their blends were quantified under increased O/CO atmosphere (21, 30, 4...
BACKGROUND: Type 2 diabetes is the most expensive chronic disease in the United States. Two-thirds of US adults have prediabetes or are overweight and...
Polyphonic music files were analyzed using the set of symbols that produced the Minimal Entropy Description, which we call the Fundamental Scale. This...
The wide variation in upper extremity motor impairments among stroke survivors necessitates more intelligent methods of customized therapy. However, c...
The synthesis of glycans and the sorting of proteins are critical functions of the Golgi apparatus and depend on its highly complex and compartmentali...