AIMC Topic: Algorithms

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An improved lightweight method based on EfficientNet for birdsong recognition.

Scientific reports Jul 3, 2025
In the context of birdsong recognition, conventional modeling approaches often involve a significant number of parameters and high computational costs, rendering them unsuitable for deployment in embedded field monitoring devices. To improve the conv...
Vocalization, Animal Birds Convolutional Neural Networks Pattern Recognition, Automated Algorithms Neural Networks, Computer Animals
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De-speckling of medical ultrasound image using metric-optimized knowledge distillation.

Scientific reports Jul 3, 2025
Ultrasound imaging provides real-time views of internal organs, which are essential for accurate diagnosis and treatment. However, speckle noise, caused by wave interactions with tissues, creates a grainy texture that hides crucial details. This nois...
Image Processing, Computer-Assisted Signal-To-Noise Ratio Humans Deep Learning Ultrasonography Algorithms
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Optimizing Vital Signs in Patients With Traumatic Brain Injury: Reinforcement Learning Algorithm Development and Validation.

Journal of medical Internet research Jul 3, 2025
BACKGROUND: Traumatic brain injury (TBI) is a critically ill disease with a high mortality rate, and clinical treatment is committed to continuously optimizing treatment strategies to improve survival rates.
Intensive Care Units Female Aged Algorithms Prognosis Middle Aged Brain Injuries, Traumatic Vital Signs Adult Male Humans
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Relaxation-assisted reverse annealing on nonnegative/binary matrix factorization.

PloS one Jul 3, 2025
Quantum annealing has garnered significant attention as meta-heuristics inspired by quantum physics for combinatorial optimization problems. Among its many applications, nonnegative/binary matrix factorization stands out for its complexity and releva...
Humans Machine Learning Algorithms Quantum Theory Face
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Predicting semantic segmentation quality in laryngeal endoscopy images.

PloS one Jul 3, 2025
Endoscopy is a major tool for assessing the physiology of inner organs. Contemporary artificial intelligence methods are used to fully automatically label medical important classes on a pixel-by-pixel level. This so-called semantic segmentation is fo...
Humans Artificial Intelligence Algorithms Laryngoscopy Image Processing, Computer-Assisted Larynx Semantics
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Double reinforcement learning for cluster synchronization of Boolean control networks under denial of service attacks.

PloS one Jul 3, 2025
This paper investigates the asymptotic cluster synchronization of Boolean control networks (BCNs) under denial-of-service (DoS) attacks, where each state node in the network experiences random data loss following a Bernoulli distribution. First, the ...
Algorithms Neural Networks, Computer Models, Theoretical Feedback Computer Security
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Intelligent diagnosis model for chest X-ray images diseases based on convolutional neural network.

BMC medical imaging Jul 2, 2025
To address misdiagnosis caused by feature coupling in multi-label medical image classification, this study introduces a chest X-ray pathology reasoning method. It combines hierarchical attention convolutional networks with a multi-label decoupling lo...
Convolutional Neural Networks Radiographic Image Interpretation, Computer-Assisted Radiography, Thoracic Algorithms Lung Diseases Humans Lung Neural Networks, Computer
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Prediction of caesarean section birth using machine learning algorithms among pregnant women in a district hospital in Ghana.

BMC pregnancy and childbirth Jul 2, 2025
BACKGROUND: Machine learning algorithms may contribute to improving maternal and child health, including determining the suitability of caesarean section (CS) births in low-resource countries. Despite machine learning algorithms offering a more robus...
Hospitals, District Support Vector Machine Bayes Theorem Retrospective Studies Ghana Pregnancy Humans Female Decision Support Systems, Clinical Machine Learning Cesarean Section Cross-Sectional Studies Logistic Models Adult Algorithms Young Adult ROC Curve
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Spatial attention-guided pre-trained networks for accurate identification of crop diseases.

Scientific reports Jul 2, 2025
The maintenance of agricultural productivity is critically dependent on the efficient and accurate identification of plant diseases. As observed, the manual inspection to the illness is often inefficient and error-prone, particularly under conditions...
Neural Networks, Computer Plant Leaves Crops, Agricultural Algorithms Plant Diseases
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A human activity recognition model based on deep neural network integrating attention mechanism.

Scientific reports Jul 2, 2025
Human Activity Recognition (HAR) is crucial in multiple fields. Existing HAR techniques include manual feature extraction, codebook-based methods, and deep learning, each with limitations. This paper presents DCAM-Net (DeepConvAttentionMLPNet), a nov...
Deep Learning Neural Networks, Computer Smartphone Humans Algorithms Attention Human Activities Male
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