The recent advent of AI is transforming daily life from streamlining routine tasks to augmenting productivity and ...
Abstract: Event logs record the execution of business processes as sequences of timestamped events. Most predictive process monitoring methods still learn a separate model per log: when the process, ...
The way machines behave depends on working sites, shifts, climates and duty cycles. Predictive maintenance is precision medicine for machines. It continuously monitors "vital signs," detects ...
Tirupati: The Integrated Command Control Center at Tirumala, set up by TTD enabled improved pilgrim comfort, enhanced safety and created India's.
Medical researchers at Mass General Brigham say the self-supervised foundational model can identify inherent features from ...
Abstract: Due to the inherent complexity of modern polymer extrusion lines caused by nonlinear, dynamic behavior with numerous influential factors, disturbances lead to higher scrap rates and ...
The 2025 conference cycle underscored a broader industry trend: AI in pension and financial systems is moving beyond experimentation into core operational use. Professionals contributing to this shift ...
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 ...
Welcome! This is a work in progress. We want to create a practical guide to developing quality predictive models from tabular data. We'll publish materials here as we create them and welcome community ...
Russian Academy of Sciences, FSBIS Institute of Physiologically Active Compounds of the Russian Academy of Sciences, 1, Severny Proezd, Chernogolovka 142432, Russian Federation Russian Academy of ...
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