AIMC Topic: Convolutional Neural Networks

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A novel hybrid inception-xception convolutional neural network for efficient plant disease classification and detection.

Scientific reports Jan 31, 2025
Plants are essential at all stages of living things. Plant pests, diseases, and symptoms are most regularly visible in plant leaves and fruits and sometimes within the roots. Yet, their diagnosis by experts in the laboratory is expensive, tedious, an...
Plant Leaves Plant Diseases Neural Networks, Computer Machine Learning Convolutional Neural Networks
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Optimized convolutional neural network using African vulture optimization algorithm for the detection of exons.

Scientific reports Jan 30, 2025
The detection of exons is an important area of research in genomic sequence analysis. Many signal-processing methods have been established successfully for detecting the exons based on their periodicity property. However, some improvement is still re...
Computational Biology Sequence Analysis, DNA Introns Exons Neural Networks, Computer Humans Algorithms Convolutional Neural Networks
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Deep learning-based malaria parasite detection: convolutional neural networks model for accurate species identification of Plasmodium falciparum and Plasmodium vivax.

Scientific reports Jan 30, 2025
Accurate malaria diagnosis with precise identification of Plasmodium species is crucial for an effective treatment. While microscopy is still the gold standard in malaria diagnosis, it relies heavily on trained personnel. Artificial intelligence (AI)...
Humans Neural Networks, Computer Malaria, Falciparum Malaria, Vivax Plasmodium vivax Deep Learning Convolutional Neural Networks Plasmodium falciparum
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Gesture recognition from surface electromyography signals based on the SE-DenseNet network.

Biomedizinische Technik. Biomedical engineering Jan 29, 2025
OBJECTIVES: In recent years, significant progress has been made in the research of gesture recognition using surface electromyography (sEMG) signals based on machine learning and deep learning techniques. The main motivation for sEMG gesture recognit...
Humans Machine Learning Signal Processing, Computer-Assisted Electromyography Pattern Recognition, Automated Algorithms Convolutional Neural Networks Gestures
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Dilated SE-DenseNet for brain tumor MRI classification.

Scientific reports Jan 28, 2025
In the field of medical imaging, particularly MRI-based brain tumor classification, we propose an advanced convolutional neural network (CNN) leveraging the DenseNet-121 architecture, enhanced with dilated convolutional layers and Squeeze-and-Excitat...
Humans Neural Networks, Computer Machine Learning Algorithms Brain Neoplasms Convolutional Neural Networks Image Processing, Computer-Assisted Magnetic Resonance Imaging Image Interpretation, Computer-Assisted
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Prediction of Pharmacoresistance in Drug-Naïve Temporal Lobe Epilepsy Using Ictal EEGs Based on Convolutional Neural Network.

Neuroscience bulletin Jan 27, 2025
Approximately 30%-40% of epilepsy patients do not respond well to adequate anti-seizure medications (ASMs), a condition known as pharmacoresistant epilepsy. The management of pharmacoresistant epilepsy remains an intractable issue in the clinic. Its ...
Animals Male Convolutional Neural Networks Female Young Adult Adult Electroencephalography Anticonvulsants Epilepsy, Temporal Lobe Rats Rats, Sprague-Dawley Disease Models, Animal Humans Neural Networks, Computer Phenytoin Drug Resistant Epilepsy
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Identification and information acquisition of high-value construction solid waste combined millimeter-wave radar and convolutional neural networks.

Waste management (New York, N.Y.) Jan 27, 2025
The accumulation of construction solid waste (CSW) leads to the waste of land resources and environmental pollution, becoming a significant social problem. Identifying the amount of high-value CSW is essential for assessing the value of accumulated C...
Construction Materials Recycling Solid Waste Radar Neural Networks, Computer Algorithms Convolutional Neural Networks
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A systematic review and meta-analysis on the performance of convolutional neural networks ECGs in the diagnosis of hypertrophic cardiomyopathy.

Journal of electrocardiology Jan 27, 2025
INTRODUCTION: Hypertrophic cardiomyopathy (HCM) is a leading cause of sudden cardiac death in younger individuals. Accurate diagnosis is crucial for management and improving patient outcomes. The application of convolutional Neural Networks (CNN), a ...
Humans Neural Networks, Computer Sensitivity and Specificity Convolutional Neural Networks Electrocardiography Cardiomyopathy, Hypertrophic
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Convolutional neural network-based method for the real-time detection of reflex syncope during head-up tilt test.

Computer methods and programs in biomedicine Jan 26, 2025
BACKGROUND AND OBJECTIVES: Reflex syncope (RS) is the most common type of syncope caused by dysregulation of the autonomic nervous system. Diagnosing RS typically involves the head-up tilt test (HUTT), which tracks physiological signals such as blood...
Signal Processing, Computer-Assisted Syncope Tilt-Table Test Middle Aged Female Humans ROC Curve Deep Learning Adult Neural Networks, Computer Electrocardiography Convolutional Neural Networks Algorithms Male Blood Pressure
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Forensic sex classification by convolutional neural network approach by VGG16 model: accuracy, precision and sensitivity.

International journal of legal medicine Jan 24, 2025
INTRODUCTION: In the reconstructive phase of medico-legal human identification, the sex estimation is crucial in the reconstruction of the biological profile and can be applied both in identifying victims of mass disasters and in the autopsy room. Du...
Sex Determination by Skeleton Middle Aged Convolutional Neural Networks Adolescent Reproducibility of Results Aged Young Adult Adult Neural Networks, Computer Sensitivity and Specificity Algorithms Humans Male Female
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