AIMC Topic: Convolutional Neural Networks

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A rolling bearing fault diagnosis method based on an improved parallel one-dimensional convolutional neural network.

PloS one Aug 11, 2025
As a critical component of industrial equipment, the fault diagnosis of rolling bearings is essential for reducing unplanned downtime and improving equipment reliability. Existing methods achieve an accuracy of no more than 92% in low signal-to-noise...
Algorithms Convolutional Neural Networks Signal-To-Noise Ratio Humans Neural Networks, Computer
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BCDCNN: breast cancer deep convolutional neural network for breast cancer detection using MRI images.

Scientific reports Aug 8, 2025
Breast cancer (BC) is a kind of cancer that is created from the cells in breast tissue. This is a primary cancer that occurs in women. Earlier identification of BC is significant in the treatment process. To lessen unwanted biopsies, Magnetic Resonan...
Humans Convolutional Neural Networks Neural Networks, Computer Image Processing, Computer-Assisted Female Algorithms Image Interpretation, Computer-Assisted Magnetic Resonance Imaging Breast Neoplasms Deep Learning
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Ensemble-based sesame disease detection and classification using deep convolutional neural networks (CNN).

Scientific reports Aug 6, 2025
This study presents an ensemble-based approach for detecting and classifying sesame diseases using deep convolutional neural networks (CNNs). Sesame is a crucial oilseed crop that faces significant challenges from various diseases, including phyllody...
Plant Leaves Neural Networks, Computer Plant Diseases Deep Learning Sesamum Convolutional Neural Networks
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MentalAId: an improved DenseNet model to assist scalable psychosis assessment.

BMC psychiatry Jul 30, 2025
BACKGROUND: The escalating mental health crisis during and post-COVID-19 underscores the urgent need for scalable, timely, cost-effective assessment solutions for general psychotic disorders. Regretfully, traditional symptom-based, one-to-one assessm...
Humans Neural Networks, Computer Adult Male Middle Aged COVID-19 Female Young Adult Convolutional Neural Networks Psychotic Disorders
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K-Means Clustering and Classification of Breast Cancer Images Using Histogram of Oriented Gradients Features and Convolutional Neural Network Models: Diagnostic Image Analysis Study.

JMIR formative research Jul 29, 2025
BACKGROUND: Breast cancer has proven to be the most common type of cancer among females around the world. However, mortality rates can be reduced if it is diagnosed at the initial stages. Interpretation made by an expert is required by conventional d...
Image Interpretation, Computer-Assisted Cluster Analysis Mammography Neural Networks, Computer Female Reproducibility of Results Breast Neoplasms Convolutional Neural Networks Image Processing, Computer-Assisted Humans
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Harnessing infrared thermography and multi-convolutional neural networks for early breast cancer detection.

Scientific reports Jul 28, 2025
Breast cancer is a relatively common carcinoma among women worldwide and remains a considerable public health concern. Consequently, the prompt identification of cancer is crucial, as research indicates that 96% of cancers are treatable if diagnosed ...
Infrared Rays Thermography Convolutional Neural Networks Early Detection of Cancer Humans Neural Networks, Computer Female Breast Neoplasms Diagnosis, Computer-Assisted
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Multi-modal classification of retinal disease based on convolutional neural network.

Biomedical physics & engineering express Jul 28, 2025
Retinal diseases such as age-related macular degeneration and diabetic retinopathy will lead to irreversible blindness without timely diagnosis and treatment. Optical coherence tomography (OCT) and optical coherence tomography angiography (OCTA) imag...
Retinal Diseases Convolutional Neural Networks Neural Networks, Computer Tomography, Optical Coherence Humans Image Processing, Computer-Assisted Algorithms Retina Diabetic Retinopathy Deep Learning Multimodal Imaging Macular Degeneration
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A new framework for mental illnesses diagnosis using wearable devices aided by improved convolutional neural network.

Scientific reports Jul 23, 2025
Stress inherent in the modern world is considered one of the main causes of Mental Health Disorders (MHDs) that spread in every country around the world. These mental and behavioral problems primarily affect the mind and brain that change emotions an...
Humans Neural Networks, Computer Mental Disorders Schizophrenia Female Convolutional Neural Networks Adult Depression Male Wearable Electronic Devices
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Open-source convolutional neural network to classify distal radial fractures according to the AO/OTA classification on plain radiographs.

European journal of trauma and emergency surgery : official publication of the European Trauma Society Jul 21, 2025
PURPOSE: Convolutional Neural Networks (CNNs) have shown promise in fracture detection, but their ability to improve surgeons' inconsistent fracture classification remains unstudied. Therefore, our aim was create and (externally) validate the perform...
Convolutional Neural Networks Radiography Radius Fractures Adult Male Middle Aged Humans Female Neural Networks, Computer Aged Algorithms
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Graph Convolutional Neural Network-Enabled Frontier Molecular Orbital Prediction: A Case Study with Neurotransmitters and Antidepressants.

Journal of chemical information and modeling Jul 17, 2025
With the advancement of artificial intelligence-embedded methodologies, their application to predict fundamental molecular properties has become increasingly prevalent. In this study, a graph convolutional neural network fingerprint-enabled artificia...
Neural Networks, Computer Convolutional Neural Networks Models, Molecular Humans Antidepressive Agents Thermodynamics Neurotransmitter Agents
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