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Taking its acronym from its founding title of Instituto Colombiano Estudios Superiore de Incolda, this private institution based in Cali was founded in 1979. Formed by a collaboration between business ...

The industrial landscape is currently undergoing a fundamental transition from traditional maintenance philosophies toward data-driven intelligence. This evolution, framed within the context of ...

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 ...

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 ...

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 ...

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 ...