CRACK DETECTION IN PAINTINGS USING CONVOLUTIONAL NEURAL NETWORKS

Crack Detection in Paintings Using Convolutional Neural Networks

The accurate detection of cracks in paintings, which generally portray rich and varying content, is a challenging task.Traditional crack detection methods are often lacking on recent acquisitions of paintings as they are poorly adapted to high-resolutions and do not make use of the other imaging modalities often at hand.Furthermore, many paintings

read more

Optimization of friction and electrical resistance performance in graphite-copper electrical contacts using Taguchi-based grey relational analysis

This study aims to investigate how the load, the intensity, and the polarity of electric current influence the frictional behavior and electrical resistance between a graphite pin loaded against a rotating copper disc.A pin-on-cylinder tribometer was utilized to achieve this.A gray relational grade obtained from gray relational analysis was employe

read more

Complete conservation of an immunogenic gene (lcr1) in Leishmania infantum and Leishmania chagasi isolated from Iran, Spain and Brazi

Background & objectives: Kala-azar is the visceral and most severe form of leishmaniasis thatleads to death if untreated.The causative agents of visceral leishmaniasis (VL) are members ofLeishmania (L.) donovani complex which includes L.chagasi and L.infantum.Genome sequenceshave raised the question whether L.chagasi and L.infantum are synonymous o

read more

Pregnant Revisions Information Center for Maternal and Child Welfare in the Baghdad City about Benefit of Colostrum toward the New Born Baby

Background and aim: The first food for the baby after birth is colostrums.Therefore, the study aims to lays the importance of research in the identification information on the pregnant mother UltraMax Parts to the importance of colostrum, which is the first vaccine for her baby, which shields them from more than 28 diseases.Materials and method: pu

read more