Recent studies in cross-domain classification have shown that discriminant information of both source and target domains is very important. In this article, we propose a new domain adaptation (DA) method for hyperspectral image (HSI) classification, called graph embedding distribution alignment (GEDA). GEDA uses the pseudo-label learning to learn interclass intraclass divergence matrices domain...

Traditional unsupervised domain adaptation (UDA) usually assumes that the source has labels and target no labels. In a real environment, labelled data comes from multiple different distributions. To handle this problem, multi-source (MUDA) is proposed. Multi-source aims to adapt model trained on multi-labelled domains unlabelled domain. paper, novel MUDA method by domain-specific feature recali...

The purposes of this paper are (i) to give a new, eecient representation of Smyth powerdomains as 0-inhabited information systems, following the style of Scott; (ii) to introduce, as a consequence of this representation, a generalized resolution method for an arbitrary Smyth powerdomain and show the soundness and completeness of this method. The connection of (i) with (ii) comes from the observ...

The major challenge in the generation of bispecific IgG antibodies is enforcement of the correct heavy and light chain association. The correct association of generic light chains can be enabled using immunoglobulin domain crossover, known as CrossMAb technology, which can be combined with approaches enabling correct heavy chain association such as knobs-into-holes (KiH) technology or electrost...

this work reports the results of the application of the second-order maccormack method for numerical solution of‎ the conservative form of two-dimensional non-hydrostatic and fully compressible navier-stokes equations governing an inviscid and adiabatic atmosphere‎. various aspects of the computational approach such as discretization of the governing equations for the interior and boundary poin...

Real-world robotics problems often occur in domains that differ significantly from the robot’s prior training environment. For many robotic control tasks, real world experience is expensive to obtain, but data is easy to collect in either an instrumented environment or in simulation. We propose a novel domain adaptation approach for robot perception that adapts visual representations learned on...

Cyanobacteria are considered a promising source for new ‎pharmaceutical lead compounds and a large number of chemically diverse and ‎bioactive metabolites have been obtained from cyanobacteria. Despite of ‎several worldwide studies on prevalence of NRPSs and PKSs among the ‎cyanobacteria, none of them included Iranian cyanobacteria of Kermanshah ‎province. Therefore, the aim of this study was t...

A nkyrin proteins organize the plasma membrane into specialized domains by binding to trans-membrane proteins and anchoring them to a submembranous network of spectrin and actin (1). Ankyrin-G, for example, helps build the axon initial segment of neurons and also promotes assembly of the lateral membrane of columnar epithelial cells (2). He et al. reveal that lipids play an essential role in ta...