Abstract Graph neural networks (GNNs) have emerged as powerful tools to accurately predict materials and molecular properties in computational and automated discovery pipelines.In this article, we exploit the invertible fp9550bk nature of these neural networks to directly generate molecular structures with desired electronic properties.Starting fro
Deep learning has been studied in recent years to identify periapical lesions- a significant indicator of periapical periodontitis in radiographs.An accurate dataset is essential for constructing an efficient learning model for detecting periapical lesions.In order to achieve this goal, we gathered and created a database of panoramic radiographs co
Resource allocation schemes for orthogonal frequency division multiple access- (OFDMA-) based cognitive radio (CR) networks that impose minimum and maximum rate constraints are considered.To demonstrate the practical application of such systems, we consider the transmission of scalable video sequences.An integer programming (IP) formulation ngetiki
Mass customization offers considerable potential for increasing the notoriety of a brand, acquiring new markets and generating significant profits.But, before reaching or exceeding customer expectations, important steps must be taken.We discuss in this paper a nearshoring approach to more effectively implement a mass personalization program.Agility
This article focuses on several factors of complification, which worked during the evolution of our Universe.During the early stages of such evolution up to the Recombination Era, it was laws of quantum mechanics; during the Dark Ages it was gravitation; during the chemical evolution-diversification; and during the biological and human evolution&md