AIMC Topic: Convolutional Neural Networks

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Enhanced electroencephalogram signal classification: A hybrid convolutional neural network with attention-based feature selection.

Brain research Feb 2, 2025
Accurate recognition and classification of motor imagery electroencephalogram (MI-EEG) signals are crucial for the successful implementation of brain-computer interfaces (BCI). However, inherent characteristics in original MI-EEG signals, such as non...
Signal Processing, Computer-Assisted Attention Brain-Computer Interfaces Imagination Deep Learning Convolutional Neural Networks Electroencephalography Neural Networks, Computer Brain Male Humans
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Multi-branch convolutional neural network with cross-attention mechanism for emotion recognition.

Scientific reports Feb 1, 2025
Research on emotion recognition is an interesting area because of its wide-ranging applications in education, marketing, and medical fields. This study proposes a multi-branch convolutional neural network model based on cross-attention mechanism (MCN...
Electroencephalography Attention Algorithms Convolutional Neural Networks Emotions Humans Neural Networks, Computer
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Automated measurement of pelvic parameters using convolutional neural network in complex spinal deformities: overcoming challenges in coronal deformity cases.

The spine journal : official journal of the North American Spine Society Jan 31, 2025
BACKGROUND CONTEXT: Accurate and consistent measurement of sagittal alignment is challenging, particularly in patients with severe coronal deformities, including degenerative lumbar scoliosis (DLS).
Middle Aged Convolutional Neural Networks Humans Pelvic Bones Aged Neural Networks, Computer Adult Retrospective Studies Scoliosis Male Female Lordosis Spinal Curvatures Radiography Pelvis Lumbar Vertebrae
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Optimizing Skin Cancer Diagnosis: A Modified Ensemble Convolutional Neural Network for Classification.

Microscopy research and technique Jan 31, 2025
Skin cancer is recognized as one of the most harmful cancers worldwide. Early detection of this cancer is an effective measure for treating the disease efficiently. Traditional skin cancer detection methods face scalability challenges and overfitting...
Humans Sensitivity and Specificity Deep Learning Convolutional Neural Networks Neural Networks, Computer Algorithms Skin Neoplasms
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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...
Convolutional Neural Networks Neural Networks, Computer Plant Leaves Plant Diseases Machine Learning
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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...
Humans Introns Neural Networks, Computer Convolutional Neural Networks Algorithms Computational Biology Exons Sequence Analysis, DNA
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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)...
Neural Networks, Computer Humans Deep Learning Plasmodium vivax Plasmodium falciparum Convolutional Neural Networks Malaria, Falciparum Malaria, Vivax
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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...
Electromyography Pattern Recognition, Automated Convolutional Neural Networks Gestures Signal Processing, Computer-Assisted Humans Machine Learning Algorithms
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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...
Image Interpretation, Computer-Assisted Convolutional Neural Networks Image Processing, Computer-Assisted Magnetic Resonance Imaging Machine Learning Algorithms Brain Neoplasms Humans Neural Networks, Computer
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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 ...
Humans Neural Networks, Computer Female Young Adult Adult Electroencephalography Rats Anticonvulsants Rats, Sprague-Dawley Epilepsy, Temporal Lobe Disease Models, Animal Animals Phenytoin Male Drug Resistant Epilepsy Convolutional Neural Networks
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