Latest AI and machine learning research in identifying and reporting dependent adult abuse for healthcare professionals.
With the emergence of large-scale vision-language models, realistic radiology reports may be gener...
We introduce a new framework, dubbed Cerberus, for attribute-based person re-identification (reID)...
This study aims to place Lorenzo Magnanis Eco-Cognitive Computationalism within the broader contex...
Event cameras operate fundamentally differently from traditional Active Pixel Sensor (APS) cameras...
Radiology reporting generative AI holds significant potential to alleviate clinical workloads and ...
Age of Incorrect Information (AoII) is particularly relevant in systems where real time responses ...
Optical data center networks (DCNs) are renovating the infrastructure design for the cloud in the ...
We live in a world that is experiencing an unprecedented boom of AI applications that increasingly...
In the medical field, the limited availability of large-scale datasets and labor-intensive annotat...
Non-consensual intimate media (NCIM) inflicts significant harm. Currently, victim-survivors can us...
Understanding neurological disorder is a fundamental problem in neuroscience, which often requires...
Automatic Medical Imaging Narrative generation aims to alleviate the workload of radiologists by p...
Machine learning (ML) and prediction modelling have become increasingly influential in healthcare, p...
Emergency departments (EDs) are pivotal in detecting child abuse and neglect, but this task is often...
Accurate prediction of temporal QoS is crucial for maintaining service reliability and enhancing u...
Predicting the strength of promoters and guiding their directed evolution is a crucial task in synth...
Traffic allocation is a process of redistributing natural traffic to products by adjusting their p...
BACKGROUND: Early medical attention after concussion may minimize symptom duration and burden; howev...
EEG-based detection of major depression disorder (MDD) plays a pivotal role in the subsequent treatm...
LLMs have achieved significant performance progress in various NLP applications. However, LLMs sti...
As the demand for more personalized recommendation grows and a dramatic boom in commercial scenari...