AIMC Topic: Convolutional Neural Networks

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An intelligent framework for skin cancer detection and classification using fusion of Squeeze-Excitation-DenseNet with Metaheuristic-driven ensemble deep learning models.

Scientific reports Mar 3, 2025
Skin cancer is the most dominant and critical method of cancer, which arises all over the world. Its damaging effects can range from disfigurement to major medical expenditures and even death if not analyzed and preserved timely. Conventional models ...
Humans Deep Learning Convolutional Neural Networks Image Processing, Computer-Assisted Algorithms Skin Neoplasms
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Migrative armadillo optimization enabled a one-dimensional quantum convolutional neural network for supply chain demand forecasting.

PloS one Mar 3, 2025
Demand forecasting is a quite challenging task, which is sensitive to several factors such as endogenous and exogenous parameters. In the context of supply chain management, demand forecasting aids to optimize the resources effectively. In recent yea...
Algorithms Humans Forecasting Convolutional Neural Networks Neural Networks, Computer
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Pre-trained convolutional neural networks identify Parkinson's disease from spectrogram images of voice samples.

Scientific reports Mar 1, 2025
Machine learning approaches including deep learning models have shown promising performance in the automatic detection of Parkinson's disease. These approaches rely on different types of data with voice recordings being the most used due to the conve...
Sound Spectrography Voice Male Machine Learning Convolutional Neural Networks Middle Aged Deep Learning Humans Female Parkinson Disease Aged Neural Networks, Computer
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Skin cancer detection using dermoscopic images with convolutional neural network.

Scientific reports Mar 1, 2025
Skin malignant melanoma is a high-risk tumor with low incidence but high mortality rates. Early detection and treatment are crucial for a cure. Machine learning studies have focused on classifying melanoma tumors, but these methods are cumbersome and...
Humans Convolutional Neural Networks Neural Networks, Computer Melanoma Early Detection of Cancer Dermoscopy Melanoma, Cutaneous Malignant Skin Neoplasms Deep Learning
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A hybrid network based on multi-scale convolutional neural network and bidirectional gated recurrent unit for EEG denoising.

Neuroscience Feb 28, 2025
Electroencephalogram (EEG) signals are time series data containing abundant brain information. However, EEG frequently contains various artifacts, such as electromyographic, electrooculographic, and electrocardiographic. These artifacts can change EE...
Artifacts Signal-To-Noise Ratio Convolutional Neural Networks Electroencephalography Signal Processing, Computer-Assisted Brain Humans Deep Learning Neural Networks, Computer
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DER-GCN: Dialog and Event Relation-Aware Graph Convolutional Neural Network for Multimodal Dialog Emotion Recognition.

IEEE transactions on neural networks and learning systems Feb 28, 2025
With the continuous development of deep learning (DL), the task of multimodal dialog emotion recognition (MDER) has recently received extensive research attention, which is also an essential branch of DL. The MDER aims to identify the emotional infor...
Semantics Pattern Recognition, Automated Convolutional Neural Networks Emotions Humans Algorithms Deep Learning Neural Networks, Computer
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Enhanced U-Net for Infant Brain MRI Segmentation: A (2+1)D Convolutional Approach.

Sensors (Basel, Switzerland) Feb 28, 2025
BACKGROUND: Infant brain tissue segmentation from MRI data is a critical task in medical imaging, particularly challenging due to the evolving nature of tissue contrasts in the early months of life. The difficulty increases as gray matter (GM) and wh...
Humans Image Processing, Computer-Assisted Brain Magnetic Resonance Imaging Spatio-Temporal Analysis White Matter Infant Cerebrospinal Fluid Convolutional Neural Networks Deep Learning Datasets as Topic Imaging, Three-Dimensional Gray Matter
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Detection of human activities using multi-layer convolutional neural network.

Scientific reports Feb 27, 2025
Human Activity Recognition (HAR) plays a critical role in fields such as healthcare, sports, and human-computer interaction. However, achieving high accuracy and robustness remains a challenge, particularly when dealing with noisy sensor data from ac...
Convolutional Neural Networks Human Activities Neural Networks, Computer Humans Algorithms
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Combining an improved political optimizer with convolutional neural networks for accurate anterior cruciate ligament tear detection in sports injuries.

Scientific reports Feb 26, 2025
A new technique has been developed to identify ACL tears in sports injuries. This method utilizes a Convolutional Neural Network (CNN) in combination with a modified Political Optimizer (IPO) algorithm, resulting in a major breakthrough in detecting ...
Male Humans Anterior Cruciate Ligament Injuries Female Neural Networks, Computer Anterior Cruciate Ligament Convolutional Neural Networks Algorithms Athletic Injuries
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Adversarial perturbation and defense for generalizable person re-identification.

Neural networks : the official journal of the International Neural Network Society Feb 22, 2025
In the Domain Generalizable Person Re-Identification (DG Re-ID) task, the quality of identity-relevant descriptor is crucial for domain generalization performance. However, for hard-matching samples, it is difficult to separate high-quality identity-...
Detection Algorithms Semantics Biometric Identification Software Validation Deep Learning Convolutional Neural Networks
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