AIMC Topic: Neural Networks, Computer

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Estimated Artificial Neural Network Modeling of Maximal Oxygen Uptake Based on Multistage 10-m Shuttle Run Test in Healthy Adults.

International journal of environmental research and public health
We aimed to develop an artificial neural network (ANN) model to estimate the maximal oxygen uptake (VOmax) based on a multistage 10 m shuttle run test (SRT) in healthy adults. For ANN-based VOmax estimation, 118 healthy Korean adults (59 men and 59 w...

Human activity recognition using wearable sensors, discriminant analysis, and long short-term memory-based neural structured learning.

Scientific reports
Healthcare using body sensor data has been getting huge research attentions by a wide range of researchers because of its good practical applications such as smart health care systems. For instance, smart wearable sensor-based behavior recognition sy...

DeepG4: A deep learning approach to predict cell-type specific active G-quadruplex regions.

PLoS computational biology
DNA is a complex molecule carrying the instructions an organism needs to develop, live and reproduce. In 1953, Watson and Crick discovered that DNA is composed of two chains forming a double-helix. Later on, other structures of DNA were discovered an...

Memristor-Based Neural Network Circuit of Emotion Congruent Memory With Mental Fatigue and Emotion Inhibition.

IEEE transactions on biomedical circuits and systems
Most memristor-based neural networks only consider a single mode of memory or emotion, but ignore the relationship between emotion and memory. In this paper, a memristor-based neural network circuit of emotion congruent memory is proposed and verifie...

Cardiac Magnetic Resonance Images Superresolution via Multichannel Residual Attention Networks.

Computational and mathematical methods in medicine
The deep neural network has achieved good results in medical image superresolution. However, due to the medical equipment limitations and the complexity of the human body structure, it is difficult to reconstruct clear cardiac magnetic resonance (CMR...

Design of Deep Learning Model for Task-Evoked fMRI Data Classification.

Computational intelligence and neuroscience
Machine learning methods have been successfully applied to neuroimaging signals, one of which is to decode specific task states from functional magnetic resonance imaging (fMRI) data. In this paper, we propose a model that simultaneously utilizes cha...

Analysis of Color Language and Aesthetic Paradigm of Print Art Based on GB-BP Neural Network.

Computational intelligence and neuroscience
Color is the basic element of printmaking art creation and also an important medium for artists to express their emotions. In order to improve the understanding of the print by tourists, the research first carries out image analysis of different colo...

Analysis of Sports Performance Prediction Model Based on GA-BP Neural Network Algorithm.

Computational intelligence and neuroscience
There are many factors that affect athletes' sports performance in sports competitions. The traditional sports performance prediction method is difficult to obtain more accurate sports performance prediction results and corresponding data analysis in...

Fast and Accurate Ophthalmic Medication Bottle Identification Using Deep Learning on a Smartphone Device.

Ophthalmology. Glaucoma
PURPOSE: To assess the accuracy and efficacy of deep learning models, specifically convolutional neural networks (CNNs), to identify glaucoma medication bottles.

A benchmark for neural network robustness in skin cancer classification.

European journal of cancer (Oxford, England : 1990)
BACKGROUND: One prominent application for deep learning-based classifiers is skin cancer classification on dermoscopic images. However, classifier evaluation is often limited to holdout data which can mask common shortcomings such as susceptibility t...