AIMC Topic: Algorithms

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Evaluation of sports training methods and technical characteristics based on multi-dimensional driving fuzzy intelligent computing.

PloS one
To improve the competitive state of badminton athletes and summarize the technical characteristics of badminton players, this paper introduces multi-dimensional fuzzy removal intelligent computing. Taking 120 badminton students from a sports school a...

Consumption quota compilation based on BP artificial neural network algorithm in mechanical and electrical installation engineering of prefabricated buildings.

PloS one
The traditional quota compilation method has a large workload and requires a lot of manpower and material resources, making it difficult to apply to the consumption quota compilation in mechanical and electrical installation engineering of prefabrica...

Interval type-2 intelligent fuzzy vehicle speed controller design using headlamp reflection detection and an adaptive neuro-fuzzy inference system.

PloS one
In this study, we present an algorithm to estimate the distance between a vehicle and a target object using light from headlights captured by a camera. In situations with limited distance data, we also design a fuzzy controller using the adaptive neu...

Ground-truth-free deep learning approach for accelerated quantitative parameter mapping with memory efficient learning.

PloS one
Quantitative MRI (qMRI) requires the acquisition of multiple images with parameter changes, resulting in longer measurement times than conventional imaging. Deep learning (DL) for image reconstruction has shown a significant reduction in acquisition ...

MedBLIP: A multimodal method of medical question-answering based on fine-tuning large language model.

Computerized medical imaging and graphics : the official journal of the Computerized Medical Imaging Society
Medical visual question answering is crucial for effectively interpreting medical images containing clinically relevant information. This study proposes a method called MedBLIP (Medical Treatment Bootstrapping Language-Image Pretraining) to tackle vi...

Methodological Review of Classification Trees for Risk Stratification: An Application Example in the Obesity Paradox.

Nutrients
BACKGROUND: Classification trees (CTs) are widely used machine learning algorithms with growing applications in clinical research, especially for risk stratification. Their ability to generate interpretable decision rules makes them attractive to hea...

Estimating wage disparities using foundation models.

Proceedings of the National Academy of Sciences of the United States of America
The rise of foundation models marks a paradigm shift in machine learning: instead of training specialized models from scratch, foundation models are trained on massive datasets before being adjusted or fine-tuned to make predictions on smaller datase...

A generalized Price equation for fuzzy set-mappings.

Theory in biosciences = Theorie in den Biowissenschaften
The Price equation provides a formal account of selection building on a right-total mapping between two classes of individuals, which is usually interpreted as a parent-offspring relation. This paper presents a new formulation of the Price equation i...

Multi-spatial-attention U-Net: a novel framework for automated gallbladder segmentation on CT images.

BMC medical imaging
OBJECTIVE: This study aimed to construct a novel model, Multi-Spatial Attention U-Net (MSAU-Net) by incorporating our proposed Multi-Spatial Attention (MSA) block into the U-Net for the automated segmentation of the gallbladder on CT images.

Personalized medication recommendations for Parkinson's disease patients using gated recurrent units and SHAP interpretability.

Scientific reports
Managing Parkinson's disease (PD) through medication can be challenging due to varying symptoms and disease duration. This study aims to demonstrate the potential of sequence-by-sequence algorithms in recommending personalized medication combinations...