AIMC Topic: Algorithms
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Fault diagnosis model based on multi-strategy adaptive COA and improved weighted kernel ELM: A case study on wind turbine blade icing.
PloS one
Aug 28, 2025
The icing failures of wind turbine blades are critical factors that affect both power generation efficiency and safety. To improve the diagnostic accuracy and speed, an improved weighted kernel extreme learning machine (IWKELM) optimized by multi-str...
Optimizing ensemble machine learning models for accurate liver disease prediction in healthcare.
PloS one
Aug 28, 2025
Liver disease encompasses a range of conditions affecting the liver, including hepatitis, cirrhosis, fatty liver, and liver cancer. It can be caused by infections, alcohol abuse, obesity, or genetic factors, and it often progresses silently until adv...
Optimizing ambulance location based on road accident data in Rwanda using machine learning algorithms.
International journal of health geographics
Aug 27, 2025
BACKGROUND: The optimal placement of ambulances is critical for ensuring timely emergency medical responses, especially in regions with high accident frequencies. In Rwanda, where road accidents are a leading cause of injury and death, the strategic ...
Deep learning-based automatic facial symmetry scoring in peripheral facial palsy.
Scientific reports
Aug 27, 2025
Unilateral peripheral facial palsy (PFP) results in facial asymmetry and functional impairment, reducing quality of life. Accurate, objective assessment is vital for monitoring and rehabilitation. This study presents an automated method utilizes stan...
Predicting nepetalactone accumulation in Nepeta persica using machine learning algorithms and geospatial analysis.
Scientific reports
Aug 27, 2025
Nepeta persica is a medicinal plant with significant pharmacological potential, primarily attributed to its high nepetalactone content. Understanding the environmental drivers of nepetalactone biosynthesis is essential for optimizing both cultivation...
The effect of taxonomic, host-dependent features and sample bias on virus host prediction using machine learning and short sequence k-mers.
Scientific reports
Aug 27, 2025
Metaviromic studies of potential emerging infection reservoirs led to discovery of many novel viruses. Since metaviromes contain viruses from target host, its food or other sources, fast and robust approaches are needed to predict hosts of unknown vi...
Hierarchical query design and distributed attention in transformer for player group activity recognition in sports analysis.
Scientific reports
Aug 27, 2025
Group activity recognition in sports analysis is a critical challenge in computer vision, requiring robust modeling of complex player interactions and dynamic scenarios. Existing approaches predominantly rely on region-based features and two-stage pi...
Chinese crop diseases and pests named entity recognition based on variational information bottleneck and feature enhancement.
Scientific reports
Aug 27, 2025
Chinese crop diseases and pests named entity recognition (CCDP-NER) is a critical step in extracting domain-specific information in the field of crop diseases and pests, playing a significant role in promoting agricultural informatization. To address...
Misleading Results in Posttraumatic Stress Disorder Predictive Models Using Electronic Health Record Data: Algorithm Validation Study.
Journal of medical Internet research
Aug 27, 2025
BACKGROUND: Electronic health record (EHR) data are increasingly used in predictive models of posttraumatic stress disorder (PTSD), but it is unknown how multivariable prediction of an EHR-based diagnosis might differ from prediction of a more rigoro...
MV2SwimNet: A lightweight transformer-based hybrid model for knee meniscus tears detection.
PloS one
Aug 27, 2025
Knee Ailments, such as meniscus injuries, bother millions globally, with research showing that more than 14% of the population above 40 years lives with meniscus-related conditions. Conventional diagnosis techniques, like manual MRI interpretation, a...
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