Vibration and thermal signatures are crucial toward gaining a deeper understanding of failure modes in process operations and ...

Predictive maintenance differs from preventive maintenance because it usually applies machine learning to understand current conditions and extrapolate, with increasing accuracy, when maintenance ...

In this rapidly evolving digital landscape, modern data infrastructure serves as the cornerstone of today’s technological ...

Shinoy Bhaskaran, an eminent figure in data engineering and AI-driven frameworks, has co-authored a groundbreaking research ...

By leveraging IoT and data analytics, predictive maintenance enhances construction operations, ensuring safety and efficiency ...

Monthly tralokinumab is an effective dosing regimen for patients with atopic dermatitis who have achieved stable disease control.

Cloud computing, artificial intelligence, and machine learning algorithms enhance ... reducing door openings and conserving cold air. Predictive maintenance alerts for malfunctioning components ...

How major aviation players are using Internet of Things technology to transform the present and shape the future of aircraft ...

From cutting driver violations by over 90% with smart dashcams to automating supply chain operations through agentic AI, ...

This study introduces a sophisticated intelligent predictive maintenance system for industrial conveyor belts powered by a random forest machine learning model. The random forest model was evaluated ...

Dive into this breakdown of the priority areas found in the DOD's FY 2025 budget request and how they impact the industrial ...