… This study aims to create a machine-learning-based … feature data, the study transformed the
land use classification of a given … Using performance evaluation indicators for each model, a …

… machine learning-based model, mainly used for topic extraction and classification in text
analysis… Lexicon-based Perception Topic Classification Model This study adopted the model for …

… classification of image super-resolution reconstruction. Secondly, the spatial methods for …
of the interpolation-based method and learningbased method are sorted out. Then, combined …

… and classification method, the original data is divided into multiple categories as the training
set of DCNN (Deep … The results show that the method has the best performance when the …

… rate) to optimize the performance. We observe that the performance of the models on
NSFW classification tasks is related to the performance of the pre-trained model on ImageNet …

… present mainstream vehicle Re-ID datasets and the commonly used model evaluation
metrics are introduced. Then, latest unsupervised learning-based vehicle Re-ID methods are …

… 摘要(英) Automatic scene classification is an active issue in the machine learning research
… In this thesis, the problem of ASC is solved using deep learning based approach. Several …

… in the detection of diabetes using machine learning and deep learning techniques. ML was
employed based on steps of feature extraction, feature selection, and classification for the …