AIMC Topic: Humans

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Zero-shot image classification based on class representation learning and attribute embedding learning.

PloS one
Zero-shot learning (ZSL) aims to classify unseen classes by leveraging semantic information from seen classes, addressing the challenge of limited labeled data. In recent years, ZSL methods have focused on extracting attribute-level features from ima...

Classifying complex multimorbidity using latent class analysis and machine learning to generate insights into clustering of mental and cardiometabolic conditions.

PloS one
Machine learning techniques earn higher accuracy and robustness in multimorbidity prediction at this moment in time. Among various forms of multimorbidity, complex multimorbidity, especially the intersection of cardiometabolic disorders and mental he...

Human asymmetries in AI art: Syntax and writing direction effects on agent position in AI-generated images.

PloS one
The present study investigates positional patterns in visual representations generated by two artificial intelligence (AI) models in response to textual prompts describing interactions between two animate entities. The primary objective is to assess ...

Non-destructive defect detection in powder metallurgy automotive oil pump stators using acoustic signals and machine learning classification.

PloS one
Defects such as cracks and mass reduction frequently occur during the production of powder metallurgy (PM) automotive oil pump stators, making rigorous inspection essential for reliable operation. Conventional human visual inspection is threshold-bas...

Fast machine learning image reconstruction of radially undersampled k-space data for low-latency real-time MRI.

PloS one
Fast data acquisition and fast image reconstruction are essential to enable low-latency real-time magnetic resonance (MR) imaging applications with high temporal resolution such as interstitial percutaneous needle interventions or MR-guided radiother...

Prediction of disability levels and research on nursing economic costs for elderly people in China.

PloS one
This study aims to solve the problem of the shortage of professional nursing staff and the inability of the quality of nursing services to meet the needs of the elderly. Therefore, a longitudinal research type was adopted for long-term tracking and o...

Enhancing museum collection images with fuzzy set guided convolutional neural network: A novel approach leveraging fuzzy set theory.

PloS one
Museum collection images are invaluable for preserving cultural heritage and studying history. However, these images often lack quality and clarity. This study introduces a novel museum collection image enhancement technique based on fuzzy set theory...

AI-designed PNA-peptide chimera overcomes suboptimal binding for dual inhibition of viral RdRp.

European journal of medicinal chemistry
The chimera combining the peptide nucleic acids (PNAs) and peptides represent a promising bifunctional strategy by concurrently binding with protein catalytic pocket and its associated RNA template, effectively disrupting protein's function. Conventi...

Dual smart monitoring and predictive non-destructive evaluation: A review of advanced hydrogel and stem cell-based strategies for oral cancer theragnostic applications.

International journal of pharmaceutics
Oral cancer remains one of the most aggressive malignancies worldwide, with high recurrence and limited treatment outcomes due to late diagnosis and ineffective targeting of tumor microenvironments. Stem cell-based hydrogel therapies have emerged as ...