When natural disasters or extreme weather events hit, delivering aid quickly and efficiently to those affected is crucial. Humanitarian relief efforts commonly rely on the combination of trucks and ...
A new study suggests that lenders may get their strongest overall read on credit default risk by combining several machine learning models rather than relying on a single algorithm. The researchers ...
The study, “Conditions of benefits and risks when algorithmic technology is implemented for public sector policing and fraud detection: a systematic literature review,” published in AI & Society, ...
Facing strict privacy laws, telcos use AI-generated synthetic data as a compliant workaround to train ML models without exposing sensitive customer information.
The promise of artificial intelligence in credit scoring is undeniable. By analyzing vast, non-traditional datasets from ...
Abstract: Intelligent transportation systems (ITS), as a crucial application of cyber-physical-social systems (CPSS), leverage collaborative learning to optimize the deployment of edge servers and ...
Abstract: The big data era has accelerated the development of artificial intelligence (AI). The Model-as-a-Service (MaaS) paradigm has been used to address the substantial challenges associated with ...
ABSTRACT: Optimizing area of interest (AoI) coverage in wireless sensor networks (WSNs) is essential for ensuring reliable monitoring and high quality of service. Although numerous approaches have ...
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