Abstract Nowadays, artificial intelligence (AI) systems make predictions in numerous high stakes domains, including credit-risk assessment and medical diagnostics. Consequently, AI increasingly affect humans, yet many state-of-the-art lack transparency thus, deny the individual’s “right to explanation”. As a remedy, researchers practitioners have developed explainable AI, which provides reasoni...

Traditional research methods in software defect prediction use part of the data same project to train model and predict label remaining data. However, practical realm development, that needs be predicted is generally a brand new project, there not enough labeled build model; therefore, traditional are no longer applicable. Cross-project uses type similar target model, so as solve problem loss m...

The health status estimation of lithium-ion battery is a challenging through measurement. To establish connection between and data features, State Health (SOH) method based on feature mining proposed. Four features are extracted from the charging curve, grey correlation analysis used to determine high status. combines Backpropagation (BP) neural network with Genetic Algorithm (GA) for training ...