AIMC Topic: Algorithms

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Bearing fault diagnosis based on Kepler algorithm and attention mechanism.

PloS one
As a crucial component in rotating machinery, bearings are prone to varying degrees of damage in practical application scenarios. Therefore, studying the fault diagnosis of bearings is of great significance. This article proposes the Kepler algorithm...

Data-driven identification of key predictors of uncontrolled hypertension: A cross-sectional study.

PloS one
Uncontrolled hypertension (HTN) increases the risk of adverse health events. This study aimed to identify key predictors of uncontrolled HTN in 1,308 Mexican adults with a prior diagnosis of HTN who were undergoing pharmacological treatment. We utili...

A robot scheduling method based on rMAPPO for H-beam riveting and welding work cell.

PloS one
The H-beam riveting and welding work cell is an automated unit used for processing H-beams. By coordinating the gripping and welding robots, the work cell achieves processes such as riveting and welding stiffener plates, transforming the H-beam into ...

Breast cancer classification based on the integration of diagnostic algorithms for calcifications and masses using a mixture of experts.

PloS one
PURPOSE: To investigate the effectiveness of an integrated deep-learning (DL) algorithm, the Mixture of Radiological Findings Specific Experts (MoRFSE), in breast cancer classification by imitating the diagnostic decision-making process of radiologis...

Accelerating Prediction of Antiviral Peptides Using Genetic Algorithm-Based Weighted Multiperspective Descriptors with Self-Normalized Deep Networks.

Journal of chemical information and modeling
The accurate prediction of antiviral peptides (AVPs) plays a crucial role in accelerating the development of peptide-based therapeutics. Despite extensive production of antiviral medications, viral diseases remain a major human health concern. AVPs h...

Comparing supervised machine learning algorithms for the prediction of partial arterial pressure of oxygen during craniotomy.

BMC medical informatics and decision making
BACKGROUND AND OBJECTIVES: Brain tissue oxygenation is usually inferred from arterial partial pressure of oxygen (paO), which is in turn often inferred from pulse oximetry measurements or other non-invasive proxies. Our aim was to evaluate the feasib...

Machine learning-based CAD detection using integrated ECG and PCG parameter features.

Biomedical physics & engineering express
The combined analysis of electrocardiogram (ECG) and phonocardiogram signals(PCG) has demonstrated significant potential in the non-invasive detection of coronary artery disease (CAD). The efficacy of combining cardiac pathological parameters such as...

Adaptive force-position-speed collaborative process planning and roughness prediction for robotic polishing.

PloS one
In this study, an adaptive force-position-speed collaborative process planning framework for robot polishing was proposed to improve the stability of the robot polishing process. The material removal model based on Preston's theory was studied, and t...

Improving the accuracy of cybersecurity spam email detection using ensemble techniques: A stacking approach Machine learning for spam email detection.

PloS one
With the widespread adoption of internet technologies and email communication systems, the exponential growth in email usage has precipitated a corresponding surge in spam proliferation. These unsolicited messages not only consume users' valuable tim...

Machine learning-driven discovery of multicomponent pharmaceutical solid forms via DualNet: confidence-aware prediction and ranking of salts and cocrystals.

International journal of pharmaceutics
Salts and cocrystals are vital multicomponent entities for tuning pharmaceuticals' solid-state properties, yet their experimental screening is labor-intensive and often inefficient. We introduce a DualNet Ensemble algorithm, a multi-class classificat...