The complexity and variability of the internal environment of public buildings prompt to think about how to protect people in the fire and quickly Bottles reach the safe area.With the help of the Internet of Things, firefighting facilities, such as fire hydrants, fire extinguishers, safety evacuation signs, fire sprinklers, fire pumps, smoke, tempe
Software fault prediction is a very consequent research topic for software quality assurance.The performance of fault prediction model depends on the features that are used to train it.Redundant and irrelevant features can hinder the performance of a classification model.In this paper, we propose an empirical study of two-stage data pre-processing
Avian polyomavirus (APV) and psittacine beak and feather disease Underliners virus (PBFDV) induce contagious and persistent diseases that affect the beaks, feathers, and immune systems of companion birds.APV causes hepatitis, ascites, hydropericardium, depression, feather disorders, abdominal distension, and potentially death.PBFDV can induce progr