SinoXivMotor imagery (MI) electroencephalography (EEG) decoding remains challenging due to severe cross-subject variability and signal non-stationarity, which significantly degrade model generalization to un...
In recent years, automatic text summarization has witnessed significantadvancement, particularly with the development of transformer-based models.However, the challenge of controlling the readability ...
Two principal paradigms dominate in automated defect detection: convolutional neural network (CNN)-based approaches and proprietary non-CNN algorithmic methods. The optimal choice depends on the targe...
Purpose: This systematic review evaluates the effectiveness of MYmind, a mindfulness-based intervention for Autistic youth (aged 8–23) and their parents. The review applies the neurodiversity paradig...
Agentic Retrieval–Augmented Generation (RAG) systems have advanced the ability of large language models to handle complex, multi–step questions by dynamically planning and executing retrieval operatio...
This paper studies whether large language models (LLMs) express systematically different opinions on contested questions in development economics and political economy, and whether those opinions are ...
Industrial Internet-of-Things (IIoT) environments continuously generatemassive, heterogeneous streams of sensor readings, operational logs, andalarm messages, demanding intelligent systems capable of ...
Background The 2023 Kahramanmaraş Earthquakes placed an immense psychosocial burden on healthcare workers. This study explores the experiences of professionals navigating a profound "dual role" parado...
Healthcare revenue cycle management (RCM) loses billions annually to claim denials, yet existing machine learning approaches treat billing as a prediction problem rather than a decision problemthey pr...
Seaweed cultivation faces scalability challenges due to labor-intensive biomass monitoring. Here, we demonstrate a low cost RGB imaging system for Ulva spp biomass estimation (0.5-5.0 g L−1 ) in land...
