… has proposed an “Artificial Intelligence 2.0 Plan,” which focused on big data, intelligent
sensing, cognitive computing, machine learning, and swarm intelligence.The Ministry of Science …

… This study uses an SDM-based machine learning ensemble model to predict regional
recreation potential under CES theories. The following summarizes the innovativeness of the study…

… at the problems of tedious feature extraction with low accuracy and traditional deep learning
… Compared with CNN-BiLSTM model and traditional deep learning model, the accuracy and …

… recent methods based on deep learning. Finally, the potential problems and possible research
… interest of this research, and promote the research progress of related issues. Key words …

… These ranges not only provide the opportunity for civilian … in areas such as applying machine
learning frameworks to software … and defense methodologies for industrial control systems. …

… evaluation and test system based on DIKWP. The framework proposed in this paper solves
the problems of the current GPT and AGI evaluation and test systems which are fragmented, …

… The example is, like many of the examples in books on data mining and machine learning,
is a classification problem. It comes from a study of geographical variation in plant …

… -machine teaming on target acquisition, there is also discussion of ‘autonomous planning
ability’ (自主规划能力) that suggests greater inclusion of machine learning and autonomy.…