Buildings contribute to almost 30% of total energy consumption worldwide. Developing
building energy modeling programs is of great significance for lifecycle building …

Learning to program is a difficult process for novice programmers. AutoLEP, an automated
learning and assessment system, was developed by us, to aid novice programmers to obtain …

We propose a new data-driven prognostic method based on the interacting multiple model
particle filter (IMMPF) for determining the remaining useful life (RUL) of lithium-ion (Li-ion) …

In this paper, a new analytical method named DTM-BF is proposed and applied to study the
MHD mixed convective flow and heat transfer of an incompressible, viscous and electrically …

An automatic grading approach is presented based on program semantic similarity.
Automatic grading of a student program is achieved by calculating semantic similarities …

The unmet medical need for novel intervention strategies to treat Neisseria gonorrhoeae
infections is significant and increasing, as rapidly emerging resistance in this pathogen is …

UAV online path-planning in a low altitude dangerous environment with dense obstacles,
static threats (STs) and dynamic threats (DTs), is a complicated, dynamic, uncertain and real …

The emergence of ceftriaxone-resistant strains of Neisseria gonorrhoeae may herald an era
of untreatable gonorrhea. Vaccines against this infection are urgently needed. The 2C7 …

Accurate prediction of the remaining useful life (RUL) of lithium-ion batteries is important for
battery management systems. Traditional empirical data-driven approaches for RUL …

The class IIa histone deacetylases (HDACs) play important roles in the central nervous
system during diverse biological processes such as synaptic plasticity, axon regeneration …