… research results and summarize existing problems and solutions, we systematically describe
various classical group intelligence … Finally, drawing on the current research situation for …

… are currently extremely active research areas. From the symbolic machine learning and
statistical machine learning to the artificial neural network, followed by data mining in the 90s, …

… Thus a survey of the use of fax machines in Australian might gather huge amounts of data
from just six universities, making prediction to Australian universities as a whole hazardous. In …

… Aiming at the problem that it is difficult to determine the modeling factors and the non-linear
runoff prediction modeling in runoff prediction modeling, this paper uses a homogeneous …

… promoting relevant study, the current research and development situation of cooperative
multirobot systems were systematically reviewed and summarized. Research concerning the …

… , thermodynamics, meteorology and artificial intelligence. In this paper are reviewed the
advances of … Based on the extensive literature review,several research tasks associated with drip …

… Conclusions: This study demonstrates the ability to achieve close to the … using our machine
learning models as could be expected by a single human annotator. The potential to use this …

… future, literature review and comparative analysis were performed … reasons to the damages,
review the development status of … detection includes artificial intelligence algorithms that can …

… literatures in the field of software defect prediction from 2000 to December 2022. Taking
machine learning … out two types of prediction models which are based on software metrics and …