AIMC Topic: Algorithms

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Modeling Soil pH at regional scale using environmental covariates and machine learning algorithm.

Environmental monitoring and assessment Jun 24, 2025
Soil pH serves as a critical indicator of soil chemistry and fertility, and mapping its spatial distribution holds significant importance for effective crop management. Digital soil mapping (DSM) is a commonly employed method for making rapid and cos...
Models, Chemical Hydrogen-Ion Concentration Algorithms Soil Environmental Monitoring Support Vector Machine Machine Learning
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Emerging technologies in airway management: a narrative review of intubation robotics and anatomical structure recognition algorithms.

Biomedical engineering online Jun 24, 2025
In recent years, the medical field has seen significant advancements in the field of robotics and artificial intelligence (AI). However, many healthcare professionals still find these technologies unfamiliar and complex, especially regarding their us...
Humans Artificial Intelligence Airway Management Intubation, Intratracheal Algorithms Robotics
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Shear wave velocity prediction using Long Short-Term Memory Network with generative adversarial mechanism.

PloS one Jun 24, 2025
Shear wave velocity (Vs) serves as a crucial petrophysical parameter for subsurface characterization, yet its acquisition remains challenging. While long short-term memory (LSTM) networks have emerged as the predominant solution for Vs prediction by ...
Memory, Short-Term Algorithms Neural Networks, Computer China
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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...
Rivers Algorithms Neural Networks, Computer Deep Learning China Environmental Monitoring
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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...
Neural Networks, Computer Gases Image Processing, Computer-Assisted Algorithms Pattern Recognition, Automated Deep Learning
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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...
Deep Learning Signal Processing, Computer-Assisted Signal-To-Noise Ratio 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.
Humans Knee Injuries Artificial Intelligence Algorithms Sensitivity and Specificity Tibial Meniscus Injuries
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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...
Image Processing, Computer-Assisted Magnetic Resonance Imaging Uterine Cervical Neoplasms Imaging, Three-Dimensional Female Humans Machine Learning 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 ...
Natural Language Processing Translations Language Models, Theoretical Translating Humans Algorithms
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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...
Algorithms China Neural Networks, Computer Compressive Strength Stress, Mechanical Railroads
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