AIMC Topic: Algorithms

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High-precision deformation monitoring and intelligent early warning for wellbore based on BDS/GNSS.

PloS one Jun 23, 2025
To address the complex deformation of wellbores influenced by surrounding coal mining operations, this study employed an improved modified least-squares ambiguity decorrelation (MLAMBDA) algorithm based on the double-difference model for high-frequen...
Deep Learning Coal Mining Algorithms Geographic Information Systems
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CSU-MS: A Contrastive Learning Framework for Cross-Modal Compound Identification from MS/MS Spectra to Molecular Structures.

Analytical chemistry Jun 20, 2025
Tandem mass spectrometry (MS/MS) is a cornerstone for compound identification in complex mixtures, but conventional spectral matching approaches face critical limitations due to limited library coverage and matching algorithms. To address this, we pr...
Molecular Structure Tandem Mass Spectrometry Machine Learning Algorithms
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A machine learning model for mortality prediction in patients with severe fever with thrombocytopenia syndrome: a prospective, multicenter cohort study.

Emerging microbes & infections Jun 19, 2025
Severe fever with thrombocytopenia syndrome (SFTS) is an emerging infectious disease that imposes a considerable medical burden. In this study, we enrolled 1,606 SFTS patients, developed and validated machine learning models for mortality prediction,...
Machine Learning Algorithms Humans Male Middle Aged Prospective Studies Aged Severe Fever with Thrombocytopenia Syndrome Female Adult Phlebovirus
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Deep generative models for Bayesian inference on high-rate sensor data: applications in automotive radar and medical imaging.

Philosophical transactions. Series A, Mathematical, physical, and engineering sciences Jun 19, 2025
Deep generative models (DGMs) have been studied and developed primarily in the context of natural images and computer vision. This has spurred the development of (Bayesian) methods that use these generative models for inverse problems in image restor...
Bayes Theorem Radar Automobiles Diagnostic Imaging Image Processing, Computer-Assisted Algorithms Deep Learning Humans
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Bio-inspired swarm of underwater robots: a review.

Bioinspiration & biomimetics Jun 19, 2025
With the in-depth integration of research across multiple disciplines, such as biomimetics, robotics, and sensing technology, significant advancements have been made in swarm robotics technology, which has been applied in areas including drone swarms...
Robotics Equipment Design Animals Water Biomimetics Artificial Intelligence Algorithms
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Advancing breast cancer prediction: Comparative analysis of ML models and deep learning-based multi-model ensembles on original and synthetic datasets.

PloS one Jun 18, 2025
Breast cancer is a significant global health concern with rising incidence and mortality rates. Current diagnostic methods face challenges, necessitating improved approaches. This study employs various machine learning (ML) algorithms, including KNN,...
Algorithms Deep Learning Humans Female Support Vector Machine Breast Neoplasms Machine Learning
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Circular saw blade wear status prediction based on generative adversarial network and CNN-LSTM model.

PloS one Jun 18, 2025
Monitoring the status of circular saw blades is an effective measure to ensure the production efficiency and safety of spent fuel assembly cutting. However, the prediction of wear during the cutting of stainless steel shells of spent fuel assemblies ...
Neural Networks, Computer Algorithms Models, Theoretical Stainless Steel Generative Adversarial Networks
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Comprehensive framework for thyroid disorder diagnosis: Integrating advanced feature selection, genetic algorithms, and machine learning for enhanced accuracy and other performance matrices.

PloS one Jun 18, 2025
Thyroid hormones control crucial physiological activities, such as metabolism, oxidative stress, erythropoiesis, thermoregulation, and organ development. Hormonal imbalances may cause serious conditions like cognitive impairment, depression, and nerv...
Thyroid Diseases Machine Learning Humans Algorithms
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Artificial intelligence for glaucoma.

The Cochrane database of systematic reviews Jun 17, 2025
This is a protocol for a Cochrane Review (diagnostic). The objectives are as follows: To determine the accuracy of artificial intelligence (AI) algorithms as a diagnostic tool for glaucoma compared with human graders in a community or secondary care ...
Glaucoma Algorithms Humans Sensitivity and Specificity Artificial Intelligence
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Quasi-supervised MR-CT image conversion based on unpaired data.

Physics in medicine and biology Jun 17, 2025
. In radiotherapy planning, acquiring both magnetic resonance (MR) and computed tomography (CT) images is crucial for comprehensive evaluation and treatment. However, simultaneous acquisition of MR and CT images is time-consuming, economically expens...
Magnetic Resonance Imaging Supervised Machine Learning Humans Tomography, X-Ray Computed Algorithms Image Processing, Computer-Assisted
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