Artificial intelligence is revolutionizing waste management. AI-powered robots sort waste with high accuracy, improving ...

Manufacturing technologies have been the first domain to experience this transformation. The review documents how artificial ...

For decades, soil management has relied on sparse field sampling and averaged recommendations. While effective in relatively uniform landscapes, this approach breaks down in real-world fields where ...

Microplastics, Microbes, and Water Waves: Nanopore Sequencing and Urban Environmental Sensors for Place-Based Applied Ecological Research Integrating Textual Analytics, Machine Learning, and AI ...

From Human Judgment to Algorithmic Intelligence Traditional driving relies on human perception, reaction time, and experience ...

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 ...

Enterprises seeking a robust digital transformation strategy are increasingly turning to wearable AI to gain operational agility and maintain an edge in competitive markets. As wearable AI solutions ...

Achieving precise and reliable drone positioning requires the integration of advanced IMUs with satellite data.

Our Nation’s warfighters encounter many known and unknown hazards on the modern battlefield including chemical, biological, ...

Digital condition monitoring is transforming hydropower O&M with AI-driven diagnostics, hybrid architectures, and predictive ...

From disaster zones to underground tunnels, robots are increasingly being sent where humans cannot safely go. But many of ...

Current aggregateorders valued at approximately $1.9 million to dateOSS now expects cumulative follow-on production orders ofmore than ...