Latest AI and machine learning research in prevention of medical errors for healthcare professionals.
This paper provides an in-depth characterization of GPU-accelerated systems, to understand the int...
In autonomous driving, recent research has increasingly focused on collaborative perception based ...
Effective communication in serious illness and palliative care is essential but often under-taught...
This study investigates the application of a simultaneous transmitting and reflecting reconfigurab...
With the booming development of generative artificial intelligence (GAI), semantic communication (...
Traditional simulator-based training for maritime professionals is critical for ensuring safety at...
Linear attention mechanisms deliver significant advantages for Large Language Models (LLMs) by pro...
Traditional diagnostic methods for major depressive disorder (MDD), which rely on subjective assessm...
The marriage of deep neural network (DNN) and secure 2-party computation (2PC) enables private infer...
Federated learning collaborates with multiple clients to train a global model, enhancing the model g...
Distributed machine learning in mobile adhoc networks faces significant challenges due to the limite...
Recently, transformer-based methods have shown remarkable success in object re-identification. Howev...
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...