This work employs machine learning methods to develop and test a technique for dynamic stability analysis of the mathematical model of a power system.A distinctive feature of the proposed method is the absence of a priori parameters of the power system model.Thus, the adaptability of the dynamic stability assessment is achieved.The selected researc
The objective of this work was to study the biodegradability of polylactic acid (PLA)/paddy straw powder (PSP) biocomposites.Environmental degradation Bar Table Set was evaluated by composting the biocomposite samples into the soil.Different techniques, including mechanical tests and scanning electron microscopy (SEM), were used to obtain a view of
Artificial intelligence (AI)-based models have emerged as powerful tools in financial markets, capable Covers of reducing investment risks and aiding in selecting highly profitable stocks by achieving precise predictions.This holds immense value for investors, as it empowers them to make data-driven decisions.Identifying current and future trends i
Maternal and neonatal mortality rates in many low- and middle-income countries (LMICs) are still far above the targets of the United Nations Sustainable Development Goal 3.Value-based healthcare (VBHC) has the potential to outperform traditional supply-driven approaches in changing this dismal situation, and significantly improve maternal, neonatal