From the 1 of 208 papers with an AI index.
676 citations
- Budker Institute of Nuclear PhysicsRU172 papers
- High Energy Accelerator Research OrganizationJP172 papers
- Wayne State UniversityUS172 papers
- Hanyang UniversityKR171 papers
- Indian Institute of Technology MadrasIN171 papers
- Jožef Stefan InstituteSI171 papers
- Korea UniversityKR171 papers
- Kyungpook National UniversityKR171 papers
- Nagoya UniversityJP171 papers
- National Taiwan UniversityTW171 papers
- Pacific Northwest National LaboratoryUS171 papers
- Soongsil UniversityKR171 papers
208 papers
Do large language models scrutinise what they review? A multimodal audit of scoring calibration, error detection, and author-identity effects
Emad Alharbi
Large language models (LLMs) are increasingly used to generate peer reviews, prompting examination of their capacity for critical evaluation. This study evaluates two multimodal LL…
A Novel 6G Dynamic Channel Map Based on a Hybrid Channel Model
Tianrun Qi, Cheng-Xiang Wang, Chen Huang +4
In the sixth generation (6G) wireless communication networks, the device density, antenna number, and the complexity of communication scenarios will significantly increase, which b…
AI-Driven Early Detection of Cardiovascular Diseases: Reducing Healthcare Costs and improving patient Outcomes
Ahasan Ahmed, Albatoul Khaled, Muhammad Waqar +5
The main goal from this study is to discuss the main features of Artificial intelligence (AI) as well as their applicability for early cardiovascular Disease (CVDs) Detection, Mate…
Predicting Blood Type: Assessing Model Performance with ROC Analysis
Malik A. Altayar, Muhyeeddin Alqaraleh, Mowafaq Salem Alzboon +1
Introduction: Personal identification is a critical aspect of forensic sciences, security, and healthcare. While conventional biometrics systems such as DNA profiling and iris scan…
Revolutionizing Blood Banks: AI-Driven Fingerprint-Blood Group Correlation for Enhanced Safety
Malik A. Altayar, Muhyeeddin Alqaraleh, Mowafaq Salem Alzboon +1
Identification of a person is central in forensic science, security, and healthcare. Methods such as iris scanning and genomic profiling are more accurate but expensive, time-consu…
Blockchain-Enabled Privacy-Preserving Second-Order Federated Edge Learning in Personalized Healthcare
Anum Nawaz, Muhammad Irfan, Xianjia Yu +4
Federated learning (FL) is increasingly recognised for addressing security and privacy concerns in traditional cloud-centric machine learning (ML), particularly within personalised…