Results 111 to 120 of about 27,588 (245)

Facial Dataset Anonymization: Striking the Balance Between Privacy and Utility

IEEE Access
The availability of publicly accessible datasets with identifiable facial images is essential for various research and development purposes. However, this wide access also underscores an increasing need for robust privacy protection. Regulations like the
Emna Bensaid, Mohamed Neji, Habib Chabchoub, Khmaies Ouahada, Adel M. Alimi   +4 more
doaj   +1 more source

Current Standards of Monitoring Models in Healthcare Settings

Advanced Intelligent Discovery, EarlyView.
AI/ML‐enabled medical devices are entering clinical practice faster than monitoring standards mature. This review highlights gaps in postmarket surveillance, limited use of predetermined change‐control plans, and the need for ongoing performance tracking, drift detection, explainability, and workflow‐aware governance to support safer, more reliable ...
Alan Kay, Daljit Takher, Wenting Liu, Emily Wittrup, Gilbert S. Omenn, Kayvan Najarian   +5 more
wiley   +1 more source

When Poor-Quality Data Meet Anonymization Models: Threats and Countermeasures

IEEE Access
In the modern era, the avenues for data generation have significantly evolved, and therefore, large-scale and diverse types of data are being collected for downstream tasks.
Abdul Majeed, Seong Oun Hwang
doaj   +1 more source

Integrating Reinforcement Learning With Explainable Artificial Intelligence for Real‐Time Clinical Decision Support in Dynamic Healthcare Environments

Advanced Intelligent Systems, EarlyView.
A hybrid Reinforcement Learning–Explainable AI framework integrates SHAP and LIME explanations directly into a Deep Q‐Network inference loop for real‐time ICU decision support. Trained on 18 142 mechanically ventilated stays from the eICU database, the system attains 93.0% decision accuracy, 20% fewer errors than RL alone, and a 91% clinician trust ...
Jannatul Ferdaus Disha, MD Faiaz Zaman Dehan, Kazi Md. Tanvir Anzum   +2 more
wiley   +1 more source

A Lightweight Browser-Based Tool for Collaborative and Blinded Image Analysis

Journal of Imaging
Collaborative manual image analysis by multiple experts in different locations is an essential workflow in biomedical science. However, sharing the images and writing down results by hand or merging results from separate spreadsheets can be error-prone ...
Philipp Schippers, Gundula Rösch, Rebecca Sohn, Matthias Holzapfel, Marius Junker, Anna E. Rapp, Zsuzsa Jenei-Lanzl, Philipp Drees, Frank Zaucke, Andrea Meurer   +9 more
doaj   +1 more source

Cross‐Sectoral AI Integration Is Essential to Tackling Food Waste and Food Insecurity: A Roadmap for Developing Resilient Food Systems

Advanced Intelligent Systems, EarlyView.
As food insecurity and global food demands surge, artificial intelligence (AI)‐based technologies offer promising opportunities to reduce food loss and waste. In this perspective, current AI adoption across the food supply chain is assessed using various academic, industry, and policy sources.
Akansha Prasad, Hannah Mann, Lubna Najm, Shadman Khan, Carlos D. M. Filipe, Tohid F. Didar   +5 more
wiley   +1 more source

The psychosocial toll of Dublin III on asylum seekers in the Netherlands

American Journal of Community Psychology, EarlyView.
Abstract The Dublin III Regulation determines which EU Member State is responsible for examining asylum claims, but its implementation carries significant consequences for those subjected to it. This study examines how Dublin III, as implemented in the Netherlands, affects asylum seekers' psychosocial wellbeing using Silove′s Adaptation and Development
Imen El Amouri
wiley   +1 more source

Curriculum Learning and Pattern-Aware Highly Efficient Privacy-Preserving Scheme for Mixed Data Outsourcing with Minimal Utility Loss

Applied Sciences
A complex problem when outsourcing personal data for public use is balancing privacy protection with utility, and anonymization is a viable solution to address this issue.
Abdul Majeed, Kyunghyun Lee, Seong Oun Hwang   +2 more
doaj   +1 more source

Text anonymization

In today's data-driven world, ensuring data privacy and protection has become of paramount importance. This thesis is a comprehensive exploration of data anonymization and privacy preservation, with a particular focus on the development of a user-centric
Pratiksha, Pratiksha
core  

A Generalized Approach to Graph De-anonymization

, 2021
https://rdc.reed.edu/v1/resources/8f6e4d7a-17ef-4a6c-b5dd-823a6a1fe52b/thumb/128.jpgSocial network graphs are often publicly released for both research and commercial uses. However, these publications may lead to privacy concerns.
Stahl, Aryeh
core