Introduction Atrial fibrillation (AF) is the leading cause of cardioembolic stroke and is associated with increased stroke severity and fatality. Early identification of AF is essential for adequate ...
Think tank IMPI defends its 14% inflation forecast, citing data-driven analysis of economic reforms and a predictive ...
Gina Mastantuono, president and CFO, ServiceNow: “In 2026, AI will be judged less on promise and more on proof. Enterprises ...
Explore how prioritizing analytics in management education enhances leadership effectiveness in today's data-driven business ...
Predictive algorithms help retailers leverage historical data and trend analysis to forecast future product demand with greater accuracy. Retailers forecast ...
Abstract: Model predictive current control (MPCC) based on sliding mode disturbance observer (SMDO) effectively addresses the issues arising from parameter mismatches and unmodeled nonlinear elements ...
Discover the power of predictive modeling to forecast future outcomes using regression, neural networks, and more for improved business strategies and risk management.
AI market forecasting uses predictive analytics and strategic planning tools to anticipate demand shifts, optimize decisions, ...
CLERMONT-FERRAND, France & SUNNYVALE, Calif., December 19, 2025--Michelin & Sonatus debut AI-powered in-vehicle tire digital twins at CES 2026, delivering real-time predictive insights for safer, long ...
Predicting solar activity is crucial for understanding and mitigating its effects on the heliosphere, particularly with regard to Earth and its surrounding ...
TORRANCE, Calif., Dec. 18, 2025 /PRNewswire/ -- CanQualify has released a new research framework outlining a shift that has been building for years: the move from relying solely on historical safety ...
TotalEnergies' deployment of machine learning at its Port Arthur, Texas, refinery demonstrates how predictive AI can ...
Some results have been hidden because they may be inaccessible to you
Show inaccessible results