AIMC Topic: Deep Learning

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Construction of VAE-GRU-XGBoost intrusion detection model for network security.

PloS one Jun 25, 2025
With the advent of the big data era, the threat of network security is becoming increasingly severe. In order to cope with complex network attacks and ensure network security, a network intrusion detection model is constructed relying on deep learnin...
Boosting Machine Learning Algorithms Computer Communication Networks Models, Theoretical Algorithms Computer Security Deep Learning Humans
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PoseNet++: A multi-scale and optimized feature extraction network for high-precision human pose estimation.

PloS one Jun 25, 2025
Human pose estimation (HPE) has made significant progress with deep learning; however, it still faces challenges in handling occlusions, complex poses, and complex multi-person scenarios. To address these issues, we propose PoseNet++, a novel approac...
Humans Neural Networks, Computer Deep Learning Image Processing, Computer-Assisted Algorithms Posture
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Performance of deep-learning models incorporating knee alignment information for predicting ground reaction force during walking.

Biomedical engineering online Jun 24, 2025
BACKGROUND: Wearable sensors combined with deep-learning models are increasingly being used to predict biomechanical variables. Researchers have focused on either simple neural networks or complex pretrained models with multiple layers. In addition, ...
Knee Biomechanical Phenomena Neural Networks, Computer Male Humans Deep Learning Walking Female Mechanical Phenomena Adult
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Learning from small datasets-review of workshop 6 of the 10th International BCI Meeting 2023.

Journal of neural engineering Jun 24, 2025
In a brain-computer interface (BCI), a primary objective is to reduce calibration time by recording as few as possible novel data points to (re-)train decoder models.Minimizing the calibration can be crucial for enhancing the usability of a BCI appli...
Electroencephalography Datasets as Topic Congresses as Topic Education Brain-Computer Interfaces Machine Learning Deep Learning Humans
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Deep learning classification of drug-related problems from pharmaceutical interventions issued by hospital clinical pharmacists during medication prescription review: a large-scale descriptive retrospective study in a French university hospital.

European journal of hospital pharmacy : science and practice Jun 24, 2025
OBJECTIVES: Pharmaceutical interventions are proposals made by hospital clinical pharmacists to address sub-optimal uses of medications during prescription review. Pharmaceutical interventions include the identification of drug-related problems, thei...
Female Aged Aged, 80 and over Humans Retrospective Studies Male Middle Aged Deep Learning Young Adult Adult Pharmacists Pharmacy Service, Hospital Drug-Related Side Effects and Adverse Reactions France Adolescent Drug Prescriptions Hospitals, University
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An integrated IKOA-CNN-BiGRU-Attention framework with SHAP explainability for high-precision debris flow hazard prediction in the Nujiang river basin, China.

PloS one Jun 24, 2025
Debris flows represent a persistent challenge for disaster prediction in mountainous regions due to their highly nonlinear and multivariate triggering mechanisms. This study proposes an explainable deep learning framework, the Improved Kepler Optimiz...
Environmental Monitoring Deep Learning Neural Networks, Computer Rivers China Algorithms
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A flow pattern recognition method for gas-liquid two-phase flow based on dilated convolutional channel attention mechanism.

PloS one Jun 24, 2025
Addressing the issue of insufficient key feature extraction leading to low recognition rates in existing deep learning-based flow pattern identification methods, this paper proposes a novel flow pattern image recognition model, Enhanced DenseNet with...
Gases Algorithms Image Processing, Computer-Assisted Deep Learning Pattern Recognition, Automated Neural Networks, Computer
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Systematic review of generative adversarial networks (GANs) in cell microscopy: Trends, practices, and impact on image augmentation.

PloS one Jun 24, 2025
Cell microscopy is the main tool that allows researchers to study microorganisms and plays a key role in observing and understanding the morphology, interactions, and development of microorganisms. However, there exist limitations in both the techniq...
Humans Microscopy Deep Learning Generative Adversarial Networks Image Processing, Computer-Assisted Neural Networks, Computer
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Recognition of common shortwave protocols and their subcarrier modulations based on multi-scale convolutional GRU.

PloS one Jun 24, 2025
Shortwave communication plays a vital role in disaster relief and remote communications due to its long-range capabilities and resilience to interference. However, challenges such as multipath propagation, frequency-selective fading, and low signal-t...
Signal Processing, Computer-Assisted Signal-To-Noise Ratio Algorithms Deep Learning Humans
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Multimodal deep learning for predicting neoadjuvant treatment outcomes in breast cancer: a systematic review.

Biology direct Jun 23, 2025
BACKGROUND: Pathological complete response (pCR) to neoadjuvant systemic therapy (NAST) is an established prognostic marker in breast cancer (BC). Multimodal deep learning (DL), integrating diverse data sources (radiology, pathology, omics, clinical)...
Prognosis Female Deep Learning Treatment Outcome Breast Neoplasms Humans Neoadjuvant Therapy
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