Founded on the vision that quantum progress thrives through interdisciplinary convergence, Quantum X Labs has built a unique ecosystem uniting top-tier talent and cutting-edge research. Drawing from ...

Based Detection, Linguistic Biomarkers, Machine Learning, Explainable AI, Cognitive Decline Monitoring Share and Cite: de Filippis, R. and Al Foysal, A. (2025) Early Alzheimer’s Disease Detection from ...

For more than a dozen years, ENR has conducted the Global Best Projects competition by inviting project teams from around the world to submit entries in a variety of sectors. These projects are then ...

As US President Donald Trump's trade policy targets China, critical minerals emerge as both flashpoint and opportunity. China's dominant position in processing these essential resources has enabled ...

The global energy transition is inevitable, and the shift from traditional energy production methods to innovative solutions will pioneer this transformation. Whether it's bio-waste conversion or ...

To secure critical raw materials and reduce reliance on foreign sources, the United States should prioritize domestic extraction and recovery while deepening coordination with trusted allies. As the ...

Abstract: This research aims to solve the problem of repetitive construction of two-floor houses’ project by using the integration of critical path method and multiple skilled workforces to minimize ...

Today’s data landscape presents unprecedented challenges for organisations, due to the need for businesses to process thousands of documents in numerous data formats. These, as Bogdan Raduta, head of ...

Structural equation modeling (SEM) is a widely used statistical method in social science. However, many published articles employing SEM appear to contradict its underlying principles and assumptions, ...

Finalists (from L to R) include the Northwest Phase II Extension Light Rail Transit, County of San Diego Southeastern Live Well Center and Replacement of Tower Elevators at the Marine Parkway-Gil ...

Future engineers must blend traditional skills with AI and data-driven methods to meet evolving industry demands.