Latest AI and machine learning research in prevention of medical errors for healthcare professionals.
Multi-modal Large Language Models (MLLMs) are capable of precisely extracting high-level semantic ...
One of the goals of Federated Learning (FL) is to collaboratively train a global model using local...
With the advent of 6G networks, offering ultra-high bandwidth and ultra-low latency, coupled with ...
The estimation of underwater sound velocity distribution serves as a critical basis for facilitati...
The increasing prevalence of preventable chronic disease in Canada poses significant challenges to b...
Underwater communication is essential for both recreational and scientific activities, such as scu...
Molecular communication (MC) provides a foundational framework for information transmission in the...
The growing demand for efficient semantic communication systems capable of managing diverse tasks ...
A latent denoising semantic communication (SemCom) framework is proposed for robust image transmis...
Accurate and efficient diagnosis in online medical consultations remains a challenge for current l...
Digital healthcare infrastructure is crucial for global medical service delivery. Egypt faces EHR ...
Wearable, wirelessly connected sensors have become a common part of daily life and have the potent...
SQL Injection (SQLi) continues to pose a significant threat to the security of web applications, e...
Retrieval-augmented generation (RAG) is a well-suited technique for retrieving privacy-sensitive E...
Deep learning models for medical image classification tasks are becoming widely implemented in AI-...
Low-rank tensor estimation offers a powerful approach to addressing high-dimensional data challeng...
LLM agents will likely communicate on behalf of users with other entity-representing agents on tas...
As digital technologies advance, communication networks face challenges in handling the vast data ...
Recent advances in our ability to collect and process information, particularly through artificial i...
Compositionality and compositional generalization--the ability to understand novel combinations of...
Robot caregiving should be personalized to meet the diverse needs of care recipients -- assisting ...