In AIoT-based systems, sensors continuously collect high-frequency data such as vibration, temperature, pressure, and electrical signals. These data streams are processed by machine learning and deep ...
As aging infrastructure and rising costs challenge traditional methods, IoT and smart technologies are paving the way for ...
TotalEnergies' deployment of machine learning at its Port Arthur, Texas, refinery demonstrates how predictive AI can ...
Digital twins began as static digital models used primarily for visualization and design. The review shows that they have ...
AI-driven leak detection and predictive analysis transform water management—saving money, resources and resilience.
An important federal deadline for identifying and replacing lead and copper service lines is less than two years away. New ...
AI agents for predictive maintenance in energy infrastructure help cut downtime and boost efficiency. Discover how to design ...
In the increasingly complex and high-stakes world of healthcare IT, Sidhartha Velishala is emerging as a transformative force. A seasoned DevOps and Cloud Automation Specialist, Velishala brings over ...
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Using AI to predict earthquakes: Machine learning detects subtle changes before lab-scale fault failures
Predicting earthquakes has long been an unattainable fantasy. Factors like odd animal behaviors that have historically been thought to forebode earthquakes are not supported by empirical evidence. As ...
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