MathWorks has joined the EDGE AI FOUNDATION, an organisation dedicated to advancing energy‑efficient artificial intelligence ...
Collaboration supports engineers building AI models in MATLAB and PyTorch, integrating them into system simulations, and deploying to embedded devices .
Less instrumentation. More insight. Physics-informed virtual sensors are shifting condition monitoring from isolated pilots to scalable, physics-based intelligence across assets. Here’s how SciML can ...
Honeywell’s HALO machine learning system predicted pressure disturbances and cycle delays with 12-minute notice, enabling operators to take preventive action before shutdowns occurred. The ...
Machine learning is the practice of teaching a computer to learn. The concept uses pattern recognition, as well as other forms of predictive algorithms, to make judgments on incoming data. This field ...
Liver cancer, including hepatocellular carcinoma (HCC), is a leading cause of cancer-related deaths globally, emphasizing the need for accurate and early detection methods. LiverCompactNet classifies ...
Abstract: The operational health of distribution transformers is critical for ensuring uninterrupted power delivery across smart grid infrastructures. This paper presents a predictive maintenance ...
Abstract: Predictive maintenance, utilising anomalous sound classification, demonstrates a strong potential to identify mechanical faults in industrial machinery. This research proposes a machine ...
This project aims to develop predictive maintenance models for e-mobility vehicles (e-bikes and e-scooters) using comprehensive datasets collected in real-world conditions around Dublin City ...
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