Application of wavelet-packet transform driven deep learning method in PM2.5 concentration prediction: A case study of Qingdao, China
Qinghe Zheng, Xinyu Tian, Zhiguo Yu, Nan Jiang, Abdussalam Elhanashi, Sergio Saponara, Rui Yu
Topics & Concepts
GeneralizationComputer scienceArtificial intelligenceWaveletDeep learningWavelet packet decompositionWavelet transformSustainable developmentData miningBig dataMachine learningMathematicsPolitical scienceLawMathematical analysisAir Quality Monitoring and ForecastingAir Quality and Health ImpactsCOVID-19 impact on air quality