AIMC Topic: Machine Learning

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Research on the Application of Animation Design Based on Machine Learning and Dynamic Image Index.

Computational intelligence and neuroscience
With the development of computer technology, animation is more and more used because of its simple, effective, and higher performance. Machine learning has become the core of artificial intelligence at present. Intelligent learning algorithms are wid...

Evaluating the Performance of Inclusive Growth Based on the BP Neural Network and Machine Learning Approach.

Computational intelligence and neuroscience
In this paper, we use the panel data of 281 cities in China from 2005 to 2020 for capturing the factors driving urban inclusive growth (IG). In doing this, we employ the BP neural network algorithm combined with the DEA model to measure the urban inc...

Machine learning-based classification of the movements of children with profound or severe intellectual or multiple disabilities using environment data features.

PloS one
Communication interventions have broadened from dialogical meaning-making, assessment approaches, to remote-controlled interactive objects. Yet, interpretation of the mostly pre-or protosymbolic, distinctive, and idiosyncratic movements of children w...

Intelligent sort-timing prediction for image-activated cell sorting.

Cytometry. Part A : the journal of the International Society for Analytical Cytology
Intelligent image-activated cell sorting (iIACS) has enabled high-throughput image-based sorting of single cells with artificial intelligence (AI) algorithms. This AI-on-a-chip technology combines fluorescence microscopy, AI-based image processing, s...

Neural Network Detection of Pacemakers for MRI Safety.

Journal of digital imaging
Flagging the presence of cardiac devices such as pacemakers before an MRI scan is essential to allow appropriate safety checks. We assess the accuracy with which a machine learning model can classify the presence or absence of a pacemaker on pre-exis...

Application of kNN and SVM to predict the prognosis of advanced schistosomiasis.

Parasitology research
Predictive models for prognosis of small sample advanced schistosomiasis patients have not been well studied. We aimed to construct prognostic predictive models of small sample advanced schistosomiasis patients using two machine learning algorithms, ...

A Systematic Review of Wi-Fi and Machine Learning Integration with Topic Modeling Techniques.

Sensors (Basel, Switzerland)
Wireless networks have drastically influenced our lifestyle, changing our workplaces and society. Among the variety of wireless technology, Wi-Fi surely plays a leading role, especially in local area networks. The spread of mobiles and tablets, and m...

Artificial Intelligence-Enabled ECG: Physiologic and Pathophysiologic Insights and Implications.

Comprehensive Physiology
Advancements in machine learning and computing methods have given new life and great excitement to one of the most essential diagnostic tools to date-the electrocardiogram (ECG). The application of artificial intelligence-enabled ECG (AI-ECG) has res...

Deep Learning Approaches for Automatic Localization in Medical Images.

Computational intelligence and neuroscience
Recent revolutionary advances in deep learning (DL) have fueled several breakthrough achievements in various complicated computer vision tasks. The remarkable successes and achievements started in 2012 when deep learning neural networks (DNNs) outper...

Research on E-Commerce Database Marketing Based on Machine Learning Algorithm.

Computational intelligence and neuroscience
From simple commercial relations to complex online transactions at this stage, it not only highlights the progress of science and technology, but also indirectly explains the diversified evolution of marketing methods and means. In marketing, databas...