Sustainable development in cities requires advanced technologies for monitoring and
estimating air pollution emissions, which directly affect the health of local inhabitants and …

Data sharing is a prerequisite for collaborative innovation, enabling organizations to
leverage diverse datasets for deeper insights. In real-world applications like FinTech and …

The paper introduces a method for predicting damage intensity in masonry residential
buildings situated in mining areas, focusing on the impact of large-scale continuous ground …

Amazonia is an invaluable global asset for all its ecological and cultural significance.
Indigenous peoples and their lands are pivotal in safeguarding this unique biodiversity and …

Alzheimer's disease (AD) is a neurodegenerative illness that worsens cognitive abilities and
causes a progressive loss of neuronal function or structure. Timely diagnosis of Alzheimer's …

Ensemble Learning, the concept of generating, training, and employing multiple machine
learning models for inference rather than just one, is of increasing interest. It offers an …

Subsea connectors, recognized as the connecting and sealing devices in subsea production
systems, have their sealing performance significantly influenced by the random variations of …

Leveraging Artificial Intelligence for Predictive CyberSecurity: Enhancing Threat Forecasting and
Vulnerability Management Page 1 IJIRAE:: International Journal of Innovative Research in Advanced …

Research over the last few decades has provided more and more evidence that precise
control of many-body quantum systems yields a method of computation more powerful than …

Different statistical samples (eg, from different locations) offer populations and learning
systems observations with distinct statistical properties. Samples under (1)'Unconfounded' …