Despite the partial disclosure of driving scenario knowledge graphs, they still fail to meet the comprehensive needs of intelligent connected vehicles for driving knowledge.Current issues include the high complexity of pattern layer construction, insufficient accuracy of information extraction and #5.5 MAHOGANY fusion, and limited performance of kn
Short-term load forecasting is crucial for the operations planning of an electrical grid.Forecasting the next 24 h of electrical load in a grid allows operators to plan and optimize their resources.The purpose of this study is to develop a more accurate short-term load forecasting method utilizing non-linear autoregressive artificial neural network
Human Papillomavirus (HPV) infection is a significant global health concern linked to various cancers, particularly cervical cancer.Timely and accurate detection of HPV is crucial for effective management and prevention strategies.Traditional laboratory-based HPV testing methods often suffer from limitations Jordan such as long turnaround times, re