Common intrusion factors and improvement measures based on case study of privacy impact assessment. [PDF]
Yi JS, Jang DS, Hong YS.
europepmc +1 more source
A Periodic Error Correction Method for Terahertz Coded‐Aperture Imaging
A physics‐constrained unsupervised learning framework with periodic error correction is proposed for terahertz coded‐aperture imaging. The method improves reconstruction robustness against noise and model mismatch, while reducing reliance on large‐scale labeled data.
Hongxu Wu+8 more
wiley +1 more source
"It's Not Like They're Selling Your Data to Dangerous People": Controversial Issues, Teens, Internet Privacy [PDF]
Margaret Smith Crocco
openalex +1 more source
Mainstream Artificial Intelligence Technologies in Contemporary Ophthalmology
This review explores the latest artificial intelligence (AI) technologies in ophthalmology, focusing on four key data types: medical imaging, electronic health records, robotic‐assisted surgery, and genomics. It examines the structural features, use cases, clinical goals, and evaluation metrics of various AI algorithms, while also introducing emerging ...
Shiqi Yin+9 more
wiley +1 more source
Fused federated learning framework for secure and decentralized patient monitoring in healthcare 5.0 using IoMT. [PDF]
Almogadwy B, Alqarafi A.
europepmc +1 more source
This study introduces the Parallel Multimodal Language Model (PMLM), a multimodal diagnostic framework that integrates medical images and textual data to enhance early breast cancer detection. By addressing the limitations of text‐only large language models, PMLM significantly improves diagnostic performance.
Dashun Zheng+8 more
wiley +1 more source
The End of Privacy? Paradoxes and Dilemmas of Internet Use and Online Surveillance
Carolyn Gaumet
openalex +2 more sources
Navigating Visibility on Weibo Among People Living With HIV: Qualitative Study.
Zeng L, Zhao Y, Ming WK.
europepmc +1 more source
Construction of evolutionary stability and signal game model for privacy protection in the internet of things. [PDF]
Li Y, Liu H, Lu L.
europepmc +1 more source
A 10‐convolutional neural network ensemble using transfer learning and layer freezing analyzes 400 Doppler‐ultrasound spectrograms to distinguish speckle, artifact, and ESs. Soft and hard voting drive performance to 96.7% accuracy and 96.5% F1, highlighting a practical route for early embolus detection and stroke‐risk mitigation.
M. Ikbal Karadeli+3 more
wiley +1 more source