BACKGROUND: Medically tailored meals (MTM) have unanswered implementation questions. Providing MTM for a specific individual, ...

Abstract: Model-free predictive control (MFPC) has become a popular choice for addressing the robustness limitations of model-based predictive control (MBPC), by replacing physical models with ...

The current microgrids are experiencing growing difficulties in voltage stability and operational capacity, particularly with constant power loads (CPLs), leading to negative impedance behavior and ...

ABSTRACT: Accurate prediction of water travel time in drip irrigation systems is essential for efficient water and nutrient delivery. This study develops a predictive model for travel time by ...

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 ...

It’s far from news to any business leader that our current rate of cyberattacks has become a serious problem. In 2024, 72% of organizations reported an increase in cyber risks, driven by the growing ...

(A) 3D model of the manipulator structure, consisting of 3 continuum segments. The manipulator operates in the plane. (B) Close-up view of the revolute joint between adjacent disks. (C) Diagram ...

Abstract: In the three-level neutral point clamped (NPC) inverter-fed PMSM drive, the modulated model predictive control (M2PC) possesses the advantages of fixed switching frequency, lower torque ...

What if the programming language you rely on most is on the brink of a transformation? For millions of developers worldwide, Python is not just a tool, it’s a cornerstone of their craft, powering ...