Exponential random graph models (ERGM) based on graph theory are useful in studying global biological network structure using its local properties.However, computational methods for fitting such models are sensitive to the type, structure and the number of the local features of a network under study.In this Socks paper, we compared computational me
Dairy powders are mainly produced by droplet spray drying, an articulated process that enables the manufacture of high added-value goods with a long shelf life and well-preserved functional properties.Despite the recent advances, a full understanding of the mechanisms occurring at the droplet scale in drying towers and, consequently, of the impact
Electrocardiogram (ECG) signals are a measure minute electrical signals generated during the cardiac cycle, a biometric signal that occurs during vital human activity.ECG signals are susceptible to various types of noise depending on the data acquisition conditions, with factors such as sensor placement and the physiological and Universe mental sta
ABSTRACT Over the years, the species of eucalyptus has become a multipurpose raw material.In addition, the most relevant aspect of the use for various purposes is related to the production of a high quality wood, coming from short duration plantations, which is fundamental to Wine Cabinet the current demand of the industries.However, its use in civ
With the development of artificial intelligence, machine learning algorithms and deep learning Cocktail Shakers algorithms are widely applied to attack detection models.Adversarial attacks against artificial intelligence models become inevitable problems when there is a lack of research on the cross-site scripting (XSS) attack detection model for d