AIMC Topic: Reproducibility of Results

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Research on a Machine Learning-Based Method for Assessing the Safety State of Historic Buildings.

Computational intelligence and neuroscience
Historic and protected buildings are increasingly valued due to their valuable historical and cultural value. The assessment of the safety state of historic buildings has received more attention. Emerging machine learning algorithms, with their excel...

The Acceptability of Traditional Culture under the Background of Deep Learning.

Computational intelligence and neuroscience
The cultural values of a country impact its national psychology and identity. Citizens' values and public opinions are conveyed to state leaders over the media and other information channels, both directly and indirectly influencing decisions on fore...

MRI-Based Artificial Intelligence in Rectal Cancer.

Journal of magnetic resonance imaging : JMRI
Rectal cancer (RC) accounts for approximately one-third of colorectal cancer (CRC), with death rates increasing in patients younger than 50 years old. Magnetic resonance imaging (MRI) is routinely performed for tumor evaluation. However, the semantic...

Intelligent Evaluation of Public Sports Service Based on Intuitionistic Fuzzy Set Theory.

Computational intelligence and neuroscience
At this stage, in the research process of sports public service efficiency evaluation and analysis, due to the use of accurate data analysis methods, there are problems of low evaluation reliability and low analysis speed. Based on this, this paper s...

Neural Network Based on Health Monitoring Electrical Equipment Fault and Biomedical Diagnosis.

Computational intelligence and neuroscience
In order to improve the accuracy of electrical equipment failure diagnosis and keep electrical equipment operating safely and efficiently, this paper proposes to design an electrical equipment failure diagnosis system based on a neural network, analy...

Hierarchical label-wise attention transformer model for explainable ICD coding.

Journal of biomedical informatics
International Classification of Diseases (ICD) coding plays an important role in systematically classifying morbidity and mortality data. In this study, we propose a hierarchical label-wise attention Transformer model (HiLAT) for the explainable pred...

PheValuator 2.0: Methodological improvements for the PheValuator approach to semi-automated phenotype algorithm evaluation.

Journal of biomedical informatics
PURPOSE: Phenotype algorithms are central to performing analyses using observational data. These algorithms translate the clinical idea of a health condition into an executable set of rules allowing for queries of data elements from a database. PheVa...

Affordable Artificial Intelligence-Assisted Machine Supervision System for the Small and Medium-Sized Manufacturers.

Sensors (Basel, Switzerland)
With the rapid concurrent advance of artificial intelligence (AI) and Internet of Things (IoT) technology, manufacturing environments are being upgraded or equipped with a smart and connected infrastructure that empowers workers and supervisors to op...

Synergetic learning structure-based neuro-optimal fault tolerant control for unknown nonlinear systems.

Neural networks : the official journal of the International Neural Network Society
In this paper, a synergetic learning structure-based neuro-optimal fault tolerant control (SLSNOFTC) method is proposed for unknown nonlinear continuous-time systems with actuator failures. Under the framework of the synergetic learning structure (SL...

Automatic 3-Dimensional Cephalometric Landmarking via Deep Learning.

Journal of dental research
The increasing use of 3-dimensional (3D) imaging by orthodontists and maxillofacial surgeons to assess complex dentofacial deformities and plan orthognathic surgeries implies a critical need for 3D cephalometric analysis. Although promising methods w...