AIMC Topic: Algorithms

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Extracting experimental parameter entities from scientific articles.

Journal of biomedical informatics
Systematic reviews are labor-intensive processes to combine all knowledge about a given topic into a coherent summary. Despite the high labor investment, they are necessary to create an exhaustive overview of current evidence relevant to a research q...

Byzantine-robust federated learning via credibility assessment on non-IID data.

Mathematical biosciences and engineering : MBE
Federated learning is a novel framework that enables resource-constrained edge devices to jointly learn a model, which solves the problem of data protection and data islands. However, standard federated learning is vulnerable to Byzantine attacks, wh...

RBFNN Design Based on Modified Nearest Neighbor Clustering Algorithm for Path Tracking Control.

Sensors (Basel, Switzerland)
Radial basis function neural networks are a widely used type of artificial neural network. The number and centers of basis functions directly affect the accuracy and speed of radial basis function neural networks. Many studies use supervised learning...

The Application of Machine Learning ICA-VMD in an Intelligent Diagnosis System in a Low SNR Environment.

Sensors (Basel, Switzerland)
This paper proposes a new method called independent component analysis-variational mode decomposition (ICA-VMD), which combines ICA and VMD. The purpose is to study the application of ICA-VMD in low signal-to-noise ratio (SNR) signal processing and d...

A Novel Training and Collaboration Integrated Framework for Human-Agent Teleoperation.

Sensors (Basel, Switzerland)
Human operators have the trend of increasing physical and mental workloads when performing teleoperation tasks in uncertain and dynamic environments. In addition, their performances are influenced by subjective factors, potentially leading to operati...

Comprehensive Evaluation of Tourism Resources Based on Multispecies Evolutionary Genetic Algorithm-Enabled Neural Networks.

Computational intelligence and neuroscience
With the development of neural network technology and the rapid growth of China's tourism economic income at this stage, the research on the comprehensive evaluation of tourism resources has gradually emerged. Based on this, this paper studies the ne...

Machine learning-based patient classification system for adults with stroke: A systematic review.

Chronic illness
OBJECTIVE: To evaluate the existing evidence of a machine learning-based classification system that stratifies patients with stroke.

Unified Focal loss: Generalising Dice and cross entropy-based losses to handle class imbalanced medical image segmentation.

Computerized medical imaging and graphics : the official journal of the Computerized Medical Imaging Society
Automatic segmentation methods are an important advancement in medical image analysis. Machine learning techniques, and deep neural networks in particular, are the state-of-the-art for most medical image segmentation tasks. Issues with class imbalanc...

Explainable Machine Learning for Property Predictions in Compound Optimization.

Journal of medicinal chemistry
The prediction of compound properties from chemical structure is a main task for machine learning (ML) in medicinal chemistry. ML is often applied to large data sets in applications such as compound screening, virtual library enumeration, or generati...

Rail Corrugation Detection and Characterization Using Computer Vision.

Sensors (Basel, Switzerland)
Rail corrugation appears as oscillatory wear on the rail surface caused by the interaction between the train wheels and the railway. Corrugation shortens railway service life and forces early rail replacement. Consequently, service can be suspended f...