This Collection supports and amplifies research related to SDG 9 - Industry, Innovation & Infrastructure. Data-driven predictive maintenance of electronics is an emerging research field that leverages ...

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 ...

MaintainX reports a rise in predictive maintenance adoption and AI usage, though challenges like aging equipment and cost ...

In the ever-evolving landscape of industrial and process plants, the concept of predictive maintenance is rapidly gaining traction as a game-changer. At the heart of this transformation are two ...

In today’s fast-paced industrial landscape, the effective use of data has become a game-changer for facility management. Data-driven insights are not just about improving efficiency. They’re pivotal ...

A new survey of critical transportation and military operators found three-quarters of rail leaders reported that their current tooling fails to provide the access and observability needed to conduct ...

00:00 This week’s CCJ Tech Shorts features announcements from the recent Truckload Carriers Association annual convention, including a new fuel card management feature, an AI-driven predictive ...

Understanding why the journey toward digitalization and AI-driven reliability begins with data integrity and matures through awareness, predictability and optimization. Move from manual to automated ...

In 2025, artificial intelligence moved from pilot projects to practical use across the U.S. military. From Army intel and ...