AIMC Topic: Neural Networks, Computer

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A Novel Reinforcement Learning Approach for Spark Configuration Parameter Optimization.

Sensors (Basel, Switzerland)
Apache Spark is a popular open-source distributed data processing framework that can efficiently process massive amounts of data. It provides more than 180 configuration parameters for users to manually select the appropriate parameter values accordi...

Estimation of Functional Fitness of Korean Older Adults Using Machine Learning Techniques: The National Fitness Award 2015-2019.

International journal of environmental research and public health
Measuring functional fitness (FF) to track the decline in physical abilities is important in order to maintain a healthy life in old age. This paper aims to develop an estimation model of FF variables, which represents strength, flexibility, and aero...

Deep learning for predicting refractive error from multiple photorefraction images.

Biomedical engineering online
BACKGROUND: Refractive error detection is a significant factor in preventing the development of myopia. To improve the efficiency and accuracy of refractive error detection, a refractive error detection network (REDNet) is proposed that combines the ...

Measuring haemolysis in cattle serum by direct UV-VIS and RGB digital image-based methods.

Scientific reports
A simple, rapid procedure is required for the routine detection and quantification of haemolysis, one of the main sources of unreliable results in serum analysis. In this study, we compared two different approaches for the rapid determination of haem...

A real-time object detection model for orchard pests based on improved YOLOv4 algorithm.

Scientific reports
Accurate and efficient real-time detection of orchard pests was essential and could improve the economic benefits of the fruit industry. The orchard pest dataset, PestImgData, was built through a series of methods such as web crawler, specimen image ...

A comprehensive review of methods based on deep learning for diabetes-related foot ulcers.

Frontiers in endocrinology
BACKGROUND: Diabetes mellitus (DM) is a chronic disease with hyperglycemia. If not treated in time, it may lead to lower limb amputation. At the initial stage, the detection of diabetes-related foot ulcer (DFU) is very difficult. Deep learning has de...

Online Loan Default Prediction Model Based on Deep Learning Neural Network.

Computational intelligence and neuroscience
With the rapid development of Internet loans and the demand for Internet loans, Internet-based loan default prediction is particularly important. P2P online lending is based on Internet technology. With the popularization of personal PCs and mobile t...

Study on the Innovative Development of Digital Media Art in the Context of Artificial Intelligence.

Computational intelligence and neuroscience
With the rapid development of modern science and technology, the speed of digital media to disseminate information is also accelerating, and the forms of communication become more and more diversified. In order to make digital media art better innova...

Music Recognition Using Blockchain Technology and Deep Learning.

Computational intelligence and neuroscience
The purposes are to recognize and classify different music characteristics and strengthen the copyright protection system for original digital music in the big data era. Deep learning (DL) and blockchain technology are applied and researched herein. ...

A Novel Artificial Intelligence System in Formulation Dissolution Prediction.

Computational intelligence and neuroscience
Artificial neural network (ANN) techniques are widely used to screen the data and predict the experimental result in pharmaceutical studies. In this study, a novel dissolution result prediction and screen system with a backpropagation network and reg...