Abstract As an important renewable energy source, wind power generation is highly stochastic Cooking Thermometer and uncertain due to various environmental factors affecting its output.To raise the accuracy of wind power generation prediction, a bidirectional long short-term memory network combination model based on sparrow search algorithm and fir
Abstract Active biological molecules present a powerful, yet largely untapped, opportunity to impart autonomous regulation of materials.Because these systems can function robustly to regulate when and where chemical reactions occur, they have the ability to bring complex, life-like behavior to synthetic materials.Here, we achieve this design feat b
Receptor-like proteins (RLPs) are involved in plant development and disease resistance.Only some of the RLPs in tomato (Solanum lycopersicum L.) have been functionally characterized though 176 genes encoding RLPs, which have been identified in the tomato genome.To further understand the role of RLPs in tomato, we performed genome-guided classificat
This research paper presents a framework for smart factory applications in ceramic manufacturing, harnessing data collection and machine learning algorithms to seamlessly align with the demands of Industry 4.0 and facilitate digital transformation.At its core, the framework is exemplified through the creation of a dynamic web application, consistin