Aalto University is where science and art meet technology and business. We shape a sustainable future by making research breakthroughs in and across our disciplines, sparking the game changers of ...
The industrial landscape is currently undergoing a fundamental transition from traditional maintenance philosophies toward data-driven intelligence. This evolution, framed within the context of ...
Contribute to the progress of engineering and science by solving key industry challenges! Are you looking for a design or research project idea with real industry relevance and societal impact?
Industrial IoT (IIoT) networks are revolutionizing industries by enabling real-time data collection, monitoring, and control. These systems consist of diverse devices, sensors, and actuators that ...
Corrosion poses a substantial economic burden, and machine learning is increasingly being explored for its potential in staging, predictive maintenance, and data-driven decision making. This study ...
In today’s fast-paced manufacturing environment, downtime is dreaded. Ensuring that electric motors, an integral part of production systems, operate at nominal conditions is critical. One of the most ...
Synchronisation of On-Board Track Geometry Monitoring Signals to Enable Machine Learning Predictions
Abstract: Accurate detection and prediction of railway track geometry defects is critical for ensuring safety, reliability and efficiency in rail operations. In Europe, traditional track geometry ...
Disease activity scores are efficacy endpoints in clinical trials of inflammatory bowel disease (IBD) therapies. Crohn’s disease activity index (CDAI), Mayo endoscopic score (MES) and Mayo score are ...
Basic information and contact details for the University of Kelaniya The University of Kelaniya has a history that dates back to 1875 when a centre of learning for Buddhist monks was created. In 1959 ...
This study focuses on optimizing and predicting the drilling performance of Fiber Metal Laminates (FMLs) reinforced with BaSO 4 nanoparticles, achieved by adjusting parameters like spindle speed, feed ...
AI thrives on data but feeding it the right data is harder than it seems. As enterprises scale their AI initiatives, they face the challenge of managing diverse data pipelines, ensuring proximity to ...
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