Recent diagnostic approaches based on the deep learning model have attracted much attention. However, developing an outstanding AI diagnostic model requires many training samples with labeled ...

This study aims to develop and validate a machine learning-based risk prediction model for social isolation in maintenance hemodialysis (MHD) patients, and at the same time determine the key risk ...

With this year's focus on heathland birds here at BTO, monitoring of Nightjars is very topical. Being nocturnal, detecting them requires dedicated night-time field surveys, which can be tricky in ...

ABSTRACT: In recent decades, the impact of climate change on natural resources has increased. However, the main challenges associated with the collection of meteorological data include the presence of ...

Located at the edge of the western Pacific Ocean, New Guinea is a vast island where the biota of Asia and Australasia meet, making it a melting pot of unique plants and animals that occur nowhere else ...

Site Reliability Engineering (SRE) is one of the key pillars for organizations. SRE teams are responsible for maintaining the system's scalability and reliability. One of the key challenges SRE teams ...

In 2023, Idaho National Laboratory (INL) and Idaho State University unveiled the industry’s first near real-time digital twin of a nuclear reactor. The virtual replica of the 5-Wth AGN-201 research ...

Now that we're officially in Week 1 of the 2024 NFL season, the Next Gen Stats analytics team is excited to unveil a new suite of advanced metrics designed to revolutionize how we evaluate tackling, ...

ABSTRACT: This paper proposes a blockchain-based system as a secure, efficient, and cost-effective alternative to SWIFT for cross-border remittances. The current SWIFT system faces challenges, ...