… on the major methods and approaches used for assessing city … to develop mechanisms to
deal with missing data. Different … quo, to explore the benefits of smart city development, and to …

… bones PSO so as to balance the exploration ability of the algorithm. In … [27] studied two ideas
of integrating non-dominated sorting … A popular approach to deal with missing data is data …

… a comparison of important predictors extracted by all three … sector, we have integrated the
methods of data collection and … Missing values in each input attribute were replaced by the …

… and comparison with traditional classifiers, and then targeted … The combination of MultiSE
and base kernels can explore … Among many spectral-spatial classification methods, integrating …

… integrated data-driven weighting system is designed to remove the biasedness and subjectivity
of experts’ opinions that can happen using other weighting methods. Then, … Exploring the …

… To deal with missing values in spatial–temporal data, we … comparison results show that the
proposed data imputation … based methods use the whole datasets to impute missing data. …

… By exploring the potential of IoT, AI, and their integration, this … to explore new information
and methods for building smart … [158] presented a comparative study of these techniques and …

… narrative review are to explore various trajectory modelling approaches useful to … approaches,
GMM is useful for accommodating certain technical aspects such as handling missing data…

… omics data into dense vectors to eliminate missing values … Also, ML and diffusion-based
methods can be used to explore … for comparative (meta)analysis of samples or omics data …

… of big data along with existing methods of data analytics. … such as big data, making it a
candidate for exploration in the … this issue include data imputation for missing values, building …