Results 171 to 180 of about 129,870 (304)
Multifactorial Screening for Fine‐Scale Selection of CCS Industrial Clusters and Hubs in Brazil
ABSTRACT As Brazil moves toward implementing its decarbonization commitments, carbon capture and storage (CCS) hubs are emerging as a key pathway for large‐scale CO2 abatement in hard‐to‐abate sectors. This paper presents a multifactorial, data‐driven framework to screen and prioritize potential CCS industrial clusters and hubs across Brazilian regions,
Gustavo P. Oliveira +5 more
wiley +1 more source
Federated Learning for Histopathology Image Classification: A Systematic Review. [PDF]
Touhami M +3 more
europepmc +1 more source
Artificial Intelligence in Ophthalmology: Current Status, Challenges, and Future Perspectives
Current research of artificial intelligence (AI) in ophthalmology. ABSTRACT Artificial intelligence (AI) is revolutionizing ophthalmology by providing innovative solutions for disease screening, diagnosis, personalized treatment, and the delivery of global healthcare services.
She Chongyang, Tao Yong
wiley +1 more source
Secure Hierarchical Asynchronous Federated Learning with Shuffle Model and Mask-DP. [PDF]
Chen Y, Ai D, Yan L.
europepmc +1 more source
Abstract The United Nations Commission on International Trade Law (UNCITRAL) has produced the most robust international insolvency regime applicable to countries around the world. The Model Law on Cross‐Border Insolvency (1997) is widely accepted and already very popular among African countries.
Pontian N. Okoli
wiley +1 more source
Induced abortion in the world: 2. Present views on pregnancy termination
Abstract Abortion was practiced in most cultures for millennia, but was often disapproved and banned. The 20th century witnessed a progressive conditional legalization, often with limitations for the duration of pregnancy. Legalizing abortion was driven by multiple factors, including a desire to limit population growth, the emergence of movements that ...
Giuseppe Benagiano +4 more
wiley +1 more source
A Pragmatic Framework for Federated Learning Risk and Governance in Academic Medical Centers. [PDF]
Bottomly D +6 more
europepmc +1 more source
Abstract Objective This study identifies and describes global caesarean section (CS) training practices, comparing high‐income countries (HIC) and low‐ and middle‐income countries (LMIC). Methods A convergent parallel mixed‐methods study was conducted with a cross‐sectional survey.
Liesl de Waard +4 more
wiley +1 more source
A scalable and secure federated learning authentication scheme for IoT. [PDF]
Chithaluru P +6 more
europepmc +1 more source
Abstract Objective To evaluate whether a rule‐based artificial intelligence (AI) program can enhance interrater agreement in cardiotocography (CTG) interpretation between nurse–midwives and obstetricians. Methods CTG data from 50 singleton pregnancies at ≥32 weeks of gestation were used to develop a rule‐based AI program based on National Institute of ...
Sriwipa Kaewsrinual +4 more
wiley +1 more source

