AIMC Topic: Algorithms

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Facial Expression Recognition Based on LDA Feature Space Optimization.

Computational intelligence and neuroscience
With the development of artificial intelligence, facial expression recognition has become an important part of the current research due to its wide application potential. However, the qualities of the face features will directly affect the accuracy o...

Adaptive Biological Neural Network Control and Virtual Realization for Engineering Manipulator.

Computational intelligence and neuroscience
By analyzing the feasibility of the digital twin technology in the assembly of construction machinery, the assembly process of the construction manipulator in the engineering environment is discussed. According to the application criteria and modelin...

Biomedical Diagnosis of Leukemia Using a Deep Learner Classifier.

Computational intelligence and neuroscience
Leukemia cancer is the most common type of cancer that occurs in childhood. The most common types are acute lymphocytic leukemia (ALL) and acute myelogenous leukemia (AML) which affect children and adults, respectively. Several health issues occur du...

TAFM: A Recommendation Algorithm Based on Text-Attention Factorization Mechanism.

Computational intelligence and neuroscience
The click-through rate (CTR) prediction task is used to estimate the probabilities of users clicking on recommended items, which are extremely important in recommender systems. Recently, the deep factorization machine (DeepFM) algorithm was proposed....

Stock Portfolio Optimization Using a Combined Approach of Multi Objective Grey Wolf Optimizer and Machine Learning Preselection Methods.

Computational intelligence and neuroscience
The present paper deals with optimizing the stock portfolio of active companies listed on the Tehran Stock Exchange based on the forecast price. This paper is based on a combination of different filtering methods such as optimization of trading rules...

A Comprehensive Quantitative and Biological Neural Network Optimization Model of Sports Industry Structure Based on Knowledge Mapping.

Computational intelligence and neuroscience
In this paper, a comprehensive quantitative and biological neural network optimization model of sports industry structure is thoroughly studied and analyzed using knowledge graphs. To address the problems of poor performance interpretability deficien...

Surgery duration: Optimized prediction and causality analysis.

PloS one
Accurate estimation of duration of surgery (DOS) can lead to cost-effective utilization of surgical staff and operating rooms and decrease patients' waiting time. In this study, we present a supervised DOS nonlinear regression prediction model whose ...

Research on image content description in Chinese based on fusion of image global and local features.

PloS one
Most image content modelling methods are designed for English description which is different form Chinese in syntax structure. The few existing Chinese image description models do not fully integrate the global features and the local features of an i...

Research on non-destructive testing of hotpot oil quality by fluorescence hyperspectral technology combined with machine learning.

Spectrochimica acta. Part A, Molecular and biomolecular spectroscopy
Eating repeatedly used hotpot oil will cause serious harm to human health. In order to realize rapid non-destructive testing of hotpot oil quality, a modeling experiment method of fluorescence hyperspectral technology combined with machine learning a...

Human-computer interaction based health diagnostics using ResNet34 for tongue image classification.

Computer methods and programs in biomedicine
BACKGROUND AND OBJECTIVE: Tongue diagnosis is one of the characteristics of traditional Chinese medicine (TCM), but traditional tongue diagnosis is affected by many factors, and its differential diagnosis results are not widely recognized. The appear...