The sparrow search algorithm (SSA) is an efficient swarm-intelligence-based algorithm that
has made some significant advances since its introduction in 2020. A detailed overview of …

Building air conditioning heat load is a critical demand response resource, and its
forecasting serves as a fundamental basis for optimizing building energy consumption …

To reduce the dimensionality of high-dimensional data and enhance its classification
accuracy, feature selection can be regarded as a multiobjective optimization problem that …

Software defect prediction plays a crucial role in enhancing software quality while achieving
cost savings in testing. Its primary objective is to identify and send only defective modules to …

Software defect prediction technology is used to assist software practitioners in effectively
allocating test resources and identifying hidden defects in a timely manner. However, the …

The process of accurately predicting software defects is highly crucial during the early period
of software development before testing activities begin. A variety of computational methods …

In recent years, deep learning has been increasingly used in fault diagnosis of rotating
machinery. However, the actual acquisition of rolling bearing fault signals often contains …

In response to the problems of strong randomness in initialization, imperfect search
mechanism and tendency to fall into local optimum when dealing with complex optimization …

Software defect prediction (SDP) plays a crucial role in ensuring the security and quality of
software systems. However, it faces challenges posed by high-dimensional features present …

Software defect prediction models enable test managers to predict defect-prone modules
and assist with delivering quality products. A test manager would be willing to identify the …