Prediction and intelligent decision-making for smart lamp poles: a DSADN framework based on multimodal enhanced machine learning with physical constraints
This study addresses the challenge of fault prediction in smart lamp post systems. It proposes a fault-prediction and intelligent decision-making framework (DSADN) based on an improved machine-learning algorithm. By integrating a support vector machine (SVM) optimized with a kernel function, a long short-term memory (L...