AIMC Topic: Algorithms

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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 Rivers China Neural Networks, Computer 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...
Pattern Recognition, Automated Neural Networks, Computer Gases Algorithms Deep Learning Image Processing, Computer-Assisted
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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-To-Noise Ratio Deep Learning Signal Processing, Computer-Assisted Humans Algorithms
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Diagnosis of knee meniscal injuries using artificial intelligence: A systematic review and meta-analysis of diagnostic performance.

PloS one Jun 24, 2025
AIM OF THE STUDY: The aim was to systematically review the literature and perform a meta-analysis to estimate the performance of artificial intelligence (AI) algorithms in detecting meniscal injuries.
Sensitivity and Specificity Tibial Meniscus Injuries Knee Injuries Artificial Intelligence Algorithms Humans
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MVT-Net: A novel cervical tumour segmentation using multi-view feature transfer learning.

PloS one Jun 24, 2025
Cervical cancer is one of the most aggressive malignant tumours of the reproductive system, posing a significant global threat to women's health. Accurately segmenting cervical tumours in MR images remains a challenging task due to the complex charac...
Humans Imaging, Three-Dimensional Image Processing, Computer-Assisted Female Machine Learning Magnetic Resonance Imaging Uterine Cervical Neoplasms Algorithms
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Text intelligent correction in English translation: A study on integrating models with dependency attention mechanism.

PloS one Jun 24, 2025
Improving translation quality and efficiency is one of the key challenges in the field of Natural Language Processing (NLP). This study proposes an enhanced model based on Bidirectional Encoder Representations from Transformers (BERT), combined with ...
Translations Translating Models, Theoretical Natural Language Processing Algorithms Language Humans
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Rockburst grade evaluation and parameter sensitivity analysis based on SSA-PNN framework: Considering rock mass strength.

PloS one Jun 24, 2025
The occurrence of rockburst is closely related to the strength and stress conditions of rock mass. The Lalin Railway tunnel in China was taken as an example, the strength and stress parameters of rock mass at 22 rockburst locations were obtained by u...
Railroads Compressive Strength China Stress, Mechanical Neural Networks, Computer Algorithms
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Uncertainty-based cardiac image registration using variational autoencoder with nonuniformly spaced control points.

Computer methods and programs in biomedicine Jun 23, 2025
BACKGROUND AND OBJECTIVE: The Variational Bayesian (VB) image registration model has garnered recent attention for its ability to offer uncertainty, particularly in the context of cardiac motion estimation. Nonetheless, several challenges have plague...
Algorithms Image Processing, Computer-Assisted Humans Neural Networks, Computer Autoencoder Bayes Theorem Uncertainty Heart
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LG-TriCapsNet: A lightweight graph capsule framework with nearest neighbor graphs for multi-disease EEG classification.

Computers in biology and medicine Jun 23, 2025
EEG signal classification for neurological disorders is a very critical task in the healthcare field, demanding accuracy and efficiency. Due to the diversity of these disorders and the complexity of the EEG signals, the task of diagnosing these disor...
Humans Neural Networks, Computer Algorithms Signal Processing, Computer-Assisted Electroencephalography Nervous System Diseases
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MLWNNR: LncRNA-Disease Association Prediction with Multi-Kernel Learning-Driven Weighted Nuclear Norm Regularization.

Interdisciplinary sciences, computational life sciences Jun 23, 2025
Emerging evidence highlights long non-coding RNAs (lncRNAs) as pivotal regulators demonstrating significant linkages with diverse human pathologies through expression dynamics and regulatory cascades. This research endeavors to establish an algorithm...
Humans Machine Learning RNA, Long Noncoding Algorithms Disease Computational Biology
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