AIMC Topic: Algorithms

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AdaptiveGS: an explainable genomic selection framework based on adaptive stacking ensemble machine learning.

TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik Aug 7, 2025
We developed an adaptive and unified stacking genomic selection framework and designed a model interpretation strategy to identify the candidate significant SNPs of target traits. Genomic selection (GS) is an important technique in modern molecular b...
Machine Learning Polymorphism, Single Nucleotide Genotype Models, Genetic Algorithms Phenotype Genomics Selection, Genetic Plant Breeding
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A novel approach for joint indoor localization and activity recognition using a hybrid CNN-GRU and MRF framework.

PloS one Aug 7, 2025
This work proposes a new hybrid model for joint indoor localization and activity recognition by combining a Convolutional Neural Network-Gated Recurrent Unit (CNN-GRU) model with a Markov Random Field (MRF) for better classification. The CNN-GRU succ...
Neural Networks, Computer Algorithms Walking Markov Chains Humans
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Robust skeletal motion tracking using temporal and spatial synchronization of two video streams.

PloS one Aug 7, 2025
Accurate and reliable skeletal motion tracking is essential for rehabilitation monitoring, enabling objective assessment of patient progress and facilitating telerehabilitation applications. Traditional marker-based motion capture systems, while high...
Humans Video Recording Algorithms Movement Wrist Joint Elbow Joint
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FCMI-YOLO: An efficient deep learning-based algorithm for real-time fire detection on edge devices.

PloS one Aug 7, 2025
The rapid development of Internet of Things (IoT) technology and deep learning has propelled the deployment of vision-based fire detection algorithms on edge devices, significantly exacerbating the trade-off between accuracy and inference speed under...
Algorithms Deep Learning Fires Internet of Things
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GNN-RMNet: Leveraging graph neural networks and GPS analytics for driver behavior and route optimization in logistics.

PloS one Aug 7, 2025
Logistics networks are becoming increasingly complex and rely more heavily on real-time vehicle data, necessitating intelligent systems to monitor driver behavior and identify route anomalies. Traditional techniques struggle to capture the dynamic sp...
Algorithms Deep Learning Geographic Information Systems Automobile Driving Humans Graph Neural Networks Neural Networks, Computer
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Reducing bias in coronary heart disease prediction using Smote-ENN and PCA.

PloS one Aug 7, 2025
Coronary heart disease (CHD) is a major cardiovascular disorder that poses significant threats to global health and is increasingly affecting younger populations. Its treatment and prevention face challenges such as high costs, prolonged recovery per...
Bias Coronary Disease Decision Trees Principal Component Analysis Humans Machine Learning Algorithms Male Support Vector Machine
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Lightweight wavelet convolutional network for guidewire segmentation.

Computerized medical imaging and graphics : the official journal of the Computerized Medical Imaging Society Aug 6, 2025
Accurate guidewire segmentation is crucial for the success of vascular interventional procedures. Existing methods rely on a large number of parameters, making it difficult to balance performance and model size. In addition, the difficulty of collect...
Image Processing, Computer-Assisted Humans Fluoroscopy Neural Networks, Computer Wavelet Analysis Algorithms
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Multi-modal machine learning classifier for idiopathic pulmonary fibrosis predicts mortality in interstitial lung diseases.

Respiratory investigation Aug 6, 2025
BACKGROUND: Interstitial lung disease (ILD) prognostication incorporates clinical history, pulmonary function testing (PFTs), and chest CT pattern classifications. The machine learning classifier, Fibresolve, includes a model to help detect CT patter...
Female Aged Male Prognosis Lung Diseases, Interstitial Humans Tomography, X-Ray Computed Proportional Hazards Models Machine Learning Respiratory Function Tests Algorithms Middle Aged Idiopathic Pulmonary Fibrosis Predictive Value of Tests
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Comparison of machine learning models for mucopolysaccharidosis early diagnosis using UAE medical records.

Scientific reports Aug 6, 2025
Rare diseases, such as Mucopolysaccharidosis (MPS), present significant challenges to the healthcare system. Some of the most critical challenges are the delay and the lack of accurate disease diagnosis. Early diagnosis of MPS is crucial, as it has t...
Bayes Theorem Early Diagnosis Mucopolysaccharidoses Child, Preschool Algorithms Humans Male Female Machine Learning Retrospective Studies Child Young Adult Infant Electronic Health Records Adolescent
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Development of a deep learning based approach for multi-material decomposition in spectral CT: a proof of principle in silico study.

Scientific reports Aug 6, 2025
Conventional approaches to material decomposition in spectral CT face challenges related to precise algorithm calibration across imaged conditions and low signal quality caused by variable object size and reduced dose. In this proof-of-principle stud...
Gadolinium Phantoms, Imaging Image Processing, Computer-Assisted Tomography, X-Ray Computed Calcium Deep Learning Humans Iodine Algorithms Computer Simulation
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