Abstract: This study presents a MATLAB-oriented Smart Blood Glucose Monitoring and Regulation System that integrates non-invasive IoT-based sensing and Model Predictive Control (MPC) to enhance ...

The strength model of willpower enjoys both supporters and critics, earning both influence and critique since its development in the mid-'90s. It is often cited in discussions around psychology’s ...

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: This study presents a comparative study of an interleaved boost converter using various control methods, such as Model Predictive Control (MPC) and traditional PID control. Based on settling ...

A new kind of large language model, developed by researchers at the Allen Institute for AI (Ai2), makes it possible to control how training data is used even after a model has been built.

Artificial intelligence (AI) is transforming the energy sector, helping power plant operators optimize efficiency, reduce emissions, and prevent costly equipment failures. By analyzing vast amounts of ...

Article Views are the COUNTER-compliant sum of full text article downloads since November 2008 (both PDF and HTML) across all institutions and individuals. These metrics are regularly updated to ...

Key Laboratory of Green Process and Engineering, Institute of Process Engineering, Chinese Academy of Sciences, Beijing 100190, China School of Chemical Engineering, University of Chinese Academy of ...

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