AIMC Topic: Algorithms

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Neural-network-based event-triggered adaptive secure fault-tolerant containment control for nonlinear multi-agent systems under denial-of-service attacks.

Neural networks : the official journal of the International Neural Network Society Jun 18, 2025
Under the framework of backstepping theory, dealing with the non-differentiable problem of virtual control signals caused by sensor output triggering is difficult. Meanwhile, it is of great practical significance to consider problems of output trigge...
Computer Security Neural Networks, Computer Computer Simulation Algorithms Nonlinear Dynamics
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Deep learning-based automatic dose optimization for brachytherapy.

Applied radiation and isotopes : including data, instrumentation and methods for use in agriculture, industry and medicine Jun 18, 2025
PURPOSE: The purpose of this study is to determine the best dose processing method for deep learning-based dose prediction in brachytherapy (BT), as well as to investigate the feasibility of using the inverse dose optimization algorithm to improve tr...
Algorithms Radiotherapy Planning, Computer-Assisted Uterine Cervical Neoplasms Brachytherapy Retrospective Studies Deep Learning Humans Radiotherapy Dosage Female
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LoRA-Enhanced RT-DETR: First Low-Rank Adaptation based DETR for real-time full body anatomical structures identification in musculoskeletal ultrasound.

Computerized medical imaging and graphics : the official journal of the Computerized Medical Imaging Society Jun 18, 2025
Medical imaging models for object identification often rely on extensive pretraining data, which is difficult to obtain due to data scarcity and privacy constraints. In practice, hospitals typically have access only to pretrained model weights withou...
Algorithms Ultrasonography Humans Musculoskeletal System Image Processing, Computer-Assisted Whole Body Imaging
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Optimizing beat-wise input for arrhythmia detection using 1-D convolutional neural networks: A real-world ECG study.

Computer methods and programs in biomedicine Jun 18, 2025
BACKGROUNDS AND OBJECTIVES: Cardiac arrhythmias, characterized by irregular heartbeats, are difficult to diagnose in real-world scenarios. Machine learning has advanced arrhythmia detection; however, the optimal number of heartbeats for precise class...
Telemedicine Neural Networks, Computer Signal Processing, Computer-Assisted Machine Learning Arrhythmias, Cardiac Humans Convolutional Neural Networks Algorithms Electrocardiography
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Interactive prototype learning and self-learning for few-shot medical image segmentation.

Artificial intelligence in medicine Jun 18, 2025
Few-shot learning alleviates the heavy dependence of medical image segmentation on large-scale labeled data, but it shows strong performance gaps when dealing with new tasks compared with traditional deep learning. Existing methods mainly learn the c...
Diagnostic Imaging Image Interpretation, Computer-Assisted Neural Networks, Computer Machine Learning Deep Learning Algorithms Image Processing, Computer-Assisted Humans
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Radiogenomic insights suggest that multiscale tumor heterogeneity is associated with interpretable radiomic features and outcomes in cancer patients.

Computerized medical imaging and graphics : the official journal of the Computerized Medical Imaging Society Jun 18, 2025
BACKGROUND: To develop radiogenomic subtypes and determine the relationships between radiomic phenotypes and multiomics molecular characteristics.
Humans Machine Learning Female Aged Radiomics Algorithms Retrospective Studies Unsupervised Machine Learning Neoplasms Genomics Male Middle Aged
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Develop intelligent waste bin prototype based on fusion feature recognition of sounds and RGB images.

Waste management (New York, N.Y.) Jun 18, 2025
Sorting municipal solid waste (MSW) at the source is a critical first step toward achieving a circular economy. Previous research has primarily focused on vision-based intelligent algorithms for MSW classification using red-green-blue (RGB) images. S...
Waste Management Refuse Disposal Sound Solid Waste Neural Networks, Computer Deep Learning Algorithms Image Processing, Computer-Assisted
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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,...
Breast Neoplasms Algorithms Support Vector Machine Humans Deep Learning Machine Learning Female
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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 ...
Generative Adversarial Networks Models, Theoretical Stainless Steel Neural Networks, Computer Algorithms
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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...
Humans Thyroid Diseases Machine Learning Algorithms
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