Latest AI and machine learning research in surveillance for healthcare professionals.
Anomaly detection methods in time series data can play a pivotal role in epidemic surveillance Early...
Multi-person pose forecasting involves predicting the future body poses of multiple individuals over...
The deployment of traditional deep learning models in high-risk security tasks in an unlabeled, da...
Given the growing burden of colorectal cancer (CRC) as a global health challenge, it becomes imperat...
The underground drilling environment in coal mines is critical and prone to accidents, with common a...
OBJECTIVES: Generative artificial intelligence (GAI) tools can enhance the quality and efficiency of...
: Partial nephrectomy (PN) is the preferred option for treating localized cT1 renal cell carcinoma (...
OBJECTIVE: The purpose of this project was to implement a remote fetal surveillance unit with increa...
The intricate and multifaceted nature of vision language model (VLM) development, adaptation, and ...
With the continuous increase in the number and resolution of video surveillance cameras, the burde...
Wireless sensor networks (WSNs) use distributed nodes for tasks such as environmental monitoring and...
: Antimicrobial resistance (AMR) poses a growing threat to veterinary medicine and food safety. This...
The prevention and control of emerging and reemerging infectious diseases are crucial for national b...
Atopic dermatitis (AD) is a chronic, inflammatory skin disorder that affects individuals across the ...
BACKGROUND: Artificial intelligence (AI) is a promising tool used in oncology that may be able to fa...
This paper presents a novel approach for optimizing the scheduling and control of Pan-Tilt-Zoom (P...
AIMS: Artificial intelligence (AI) has the potential to transform cardiac electrophysiology (EP), pa...
The low-altitude economy has emerged as a critical focus for future economic development, emphasiz...
Gait recognition enables contact-free, long-range person identification that is robust to clothing...
Digital Twins hold great potential to personalize clinical patient care, provided the concept is t...
The incidence of TB in Taiwan declined by 62% from 2005 to 2023 (i.e., from 73/100,000 to 28/100,000...