Latest AI and machine learning research in prevention of medical errors for healthcare professionals.
Recommender systems play a pivotal role across practical scenarios, showcasing remarkable capabili...
Individuals with cerebral palsy (CP) and amyotrophic lateral sclerosis (ALS) frequently face chall...
Traditional Chinese medicine has accumulated a wealth of experiences in individualized cancer preven...
The problem of attacks on new generation network infrastructures is becoming increasingly relevant...
Major software failures are reported to be due to misconfiguration. As manual configuration is too...
Cloud servers use accelerators for common tasks (e.g., encryption, compression, hashing) to improv...
Conventional medical artificial intelligence (AI) models face barriers in clinical application and...
The study focuses on developing a digital twin testbed tailored for public safety technologies, in...
Algorithmic intermediaries govern the digital public sphere through their architectures, amplifica...
Private deep neural network (DNN) inference based on secure two-party computation (2PC) enables se...
Precise clock synchronization is an important requirement for distributed and networked industrial...
Conventional tomographic reconstruction typically depends on centralized servers for both data sto...
Background: One of the key FDA-approved medications for Opioid Use Disorder (OUD) is buprenorphine...
This study investigates innovative interaction designs for communication and collaborative learnin...
In whiteboard-based remote communication, the seamless integration of drawn content and hand-scree...
The emerging field of smart agriculture leverages the Internet of Things (IoT) to revolutionize fa...
Distributed learning has become the standard approach for training large-scale machine learning mo...
Low Earth Orbit (LEO) Earth Observation (EO) satellites have changed the way we monitor Earth. Act...
Rank aggregation combines multiple ranked lists into a consensus ranking. In fields like biomedica...
Among the rapid integration of artificial intelligence in clinical settings, large language models (...
Despite being prominent and ubiquitous, message-based interaction is limited in nonverbally convey...