AIMC Topic: Neural Networks, Computer

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A modified generative adversarial networks method for assisting the diagnosis of deep venous thrombosis complications in stroke patients.

Scientific reports Jul 1, 2025
Discriminate deep vein thrombosis, one of the complications in early stroke patients, in order to assist in diagnosis. We have constructed a new method called ACWGAN by combining ACGAN and WGAN methods for data augmentation to to enhance the data of ...
Middle Aged Female Deep Learning Aged Venous Thrombosis Stroke Male Humans Generative Adversarial Networks Neural Networks, Computer
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STIED: a deep learning model for the spatiotemporal detection of focal interictal epileptiform discharges with MEG.

Scientific reports Jul 1, 2025
Magnetoencephalography (MEG) allows the non-invasive detection of interictal epileptiform discharges (IEDs). Clinical MEG analysis in epileptic patients traditionally relies on the visual identification of IEDs, which is time consuming and partially ...
Deep Learning Female Humans Epilepsies, Partial Adult Magnetoencephalography Male Neural Networks, Computer Algorithms
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Plant leaf disease detection using vision transformers for precision agriculture.

Scientific reports Jul 1, 2025
Plant diseases cause major crop losses worldwide, making early detection essential for sustainable farming. Traditional methods need large training datasets, are expensive, and may overfit. In leaf image analysis, convolutional neural networks (CNNs)...
Plant Diseases Plant Leaves Crops, Agricultural Neural Networks, Computer Image Processing, Computer-Assisted Agriculture
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Design of a deep fusion model for early Parkinson's disease prediction using handwritten image analysis.

Scientific reports Jul 1, 2025
Parkinson's Disease (PD) is a deteriorating condition that mostly affects older people. The lack of conclusive treatment for PD makes diagnosis very challenging. However, using patterns like tremors for early diagnosis, handwriting analysis has becom...
Algorithms Deep Learning Image Processing, Computer-Assisted Parkinson Disease Early Diagnosis Handwriting Humans Neural Networks, Computer
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Comparative analysis of machine learning approaches for heatwave event prediction in India.

Scientific reports Jul 1, 2025
Heatwaves, are identified as prolonged durations of unusually high temperatures, which pose significant threats to human health, animal health and agriculture. With the increasing frequency and intensity of heatwaves driven by climate change, accurat...
Climate Change Extreme Heat Machine Learning India Support Vector Machine Humans Neural Networks, Computer
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Artificial neural network-driven approaches to improved forecasting of disability care expenditures in an aging Kingdom of Saudi Arabia population.

Scientific reports Jul 1, 2025
The total number of older persons globally (those aged 60 years and above) was 202 million in 1950; this total multiplied to attain 901 million and is predicted to triple again in 2100. The growth percentage of the elderly population is quickly impro...
Saudi Arabia Persons with Disabilities Noncommunicable Diseases Health Expenditures Male Aging Middle Aged Aged Aged, 80 and over Humans Neural Networks, Computer Forecasting Female
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Ensemble learning for biomedical signal classification: a high-accuracy framework using spectrograms from percussion and palpation.

Scientific reports Jul 1, 2025
Accurate classification of biomedical signals is crucial for advancing non-invasive diagnostic methods, particularly for identifying gastrointestinal and related medical conditions where conventional techniques often fall short. An ensemble learning ...
Support Vector Machine Signal Processing, Computer-Assisted Fourier Analysis Machine Learning Algorithms Ensemble Learning Palpation Percussion Humans Neural Networks, Computer
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Fusing satellite imagery and ground-based observations for PM air pollution modeling in Iran using a deep learning approach.

Scientific reports Jul 1, 2025
With the rapid advancement of urbanization and industrialization in cities, air pollution has become one of the significant environmental challenges and issues in many countries. The concentration of particulate matter with an aerodynamic diameter of...
Humans Neural Networks, Computer Deep Learning Iran Satellite Imagery Air Pollutants Air Pollution Particulate Matter Models, Theoretical Environmental Monitoring
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An adaptive deep learning approach based on InBNFus and CNNDen-GRU networks for breast cancer and maternal fetal classification using ultrasound images.

Scientific reports Jul 1, 2025
Convolutional Neural Networks (CNNs), a sophisticated deep learning technique, have proven highly effective in identifying and classifying abnormalities related to various diseases. The manual classification of these is a hectic and time-consuming pr...
Deep Learning Image Processing, Computer-Assisted Fetus Humans Breast Neoplasms Neural Networks, Computer Ultrasonography, Prenatal Pregnancy Female
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Gradual poisoning of a chest x-ray convolutional neural network with an adversarial attack and AI explainability methods.

Scientific reports Jul 1, 2025
Given artificial intelligence's transformative effects, studying safety is important to ensure it is implemented in a beneficial way. Convolutional neural networks are used in radiology research for prediction but can be corrupted through adversarial...
Convolutional Neural Networks Pneumonia Radiography, Thoracic Humans Neural Networks, Computer Artificial Intelligence
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