Transforming the chemicals industry, AI application models enhance formulation development, enabling rapid, accurate responses to evolving market demands.
Abstract: This article proposes a data-driven linear parameter variation model predictive control (DDLPVMPC) method for unknown nonlinear (NL) systems. The approach eliminates reliance on prior ...
Abstract: We present an approach to address a multirobot persistent monitoring problem, where a team of agents must repeatedly survey specific points of interest (POIs) within a 2-D area. Our approach ...
A machine learning model incorporating functional assessments predicts one-year mortality in older patients with HF and improves risk stratification beyond established scores. Functional status at ...
Background Early graft failure within 90 postoperative days is the leading cause of mortality after heart transplantation. Existing risk scores, based on linear regression, often struggle to capture ...
Lotfy, A. (2026) A Digital Accounting Framework for Enhancing Solvency and Financial Evaluation in Non-Bank Financial ...
Background The long-term trajectories of estimated glomerular filtration rate (eGFR) and their relation to early proteinuria ...
Deterioration of air quality in urban areas represents a critical public health concern with road transportation being the main cause. Vehicular traffic is ...
🚀 KQ-LMPC is the fastest open-source Koopman MPC controller for quadrotors: zero training data, fully explainable, hardware-proven SE(3) control. ⚡ Real-time convex MPC (<10 ms) • Stability ...
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