Latest AI and machine learning research in prevention of medical errors for healthcare professionals.
Patients with amyotrophic lateral sclerosis (ALS) in the completely locked-in state (CLIS) can los...
This paper proposes a novel, robust, and lightweight supervised Convolutional Neural Network (CNN)...
Federated Learning (FL) is enabling collaborative model training across institutions without shari...
Technological progress has led to concrete advancements in tasks that were regarded as challenging...
Recent developments in the Internet of Bio-Nano Things (IoBNT) are laying the groundwork for innov...
Positron Emission Tomography / Computed Tomography (PET/CT) plays a critical role in medical imagi...
Uric acid (UA) is the final metabolite of purines in the human body. An imbalance in UA production a...
The integration of AI/ML into medical devices is rapidly transforming healthcare by enhancing diag...
Approximate Nearest Neighbor Search (ANNS) is essential for various data-intensive applications, i...
Mosquito-borne diseases pose a major global health risk, requiring early detection and proactive c...
With the rapid development of low-altitude applications, there is an increasing demand for low-alt...
Early screening for gastrointestinal (GI) diseases is critical for preventing cancer development. Wi...
The widespread adoption of outsourced neural network inference presents significant privacy challe...
The low-altitude economy (LAE) is rapidly advancing toward intelligence, connectivity, and coordin...
Personalized Federated Learning (PFL) enables clients to collaboratively train personalized models...
For more than 60 years, artificial intelligence (AI) has served as a mainstay in augmenting and assi...
During the wake of the Covid-19 pandemic, the educational paradigm has experienced a major change ...
The growing adoption of large pre-trained models in edge computing has made deploying model infere...
With the rapid development of autonomous driving and extended reality, efficient transmission of p...
Text-guided image editing has seen rapid progress in natural image domains, but its adaptation to ...
This paper introduces FedGenGMM, a novel one-shot federated learning approach for Gaussian Mixture...