The possibility to harvest energy from ambient radio-frequency (RF) sources has intrigued humankind for the past several decades.In this context, there has been a tremendously growing research interest in the field of wireless power transfer (WPT) using the RF range of the electromagnetic (EM) spectrum.In this paper, we experimentally investigate t
Quantum thermal transistor is a microscopic thermodynamical FERM PROTEIN CHOCO device that can modulate and amplify heat current through two terminals by the weak heat current at the third terminal.Here we study the common environmental effects on a quantum thermal transistor made up of three strong-coupling qubits.It is shown that the functions of
BACKGROUND: Sequence analysis is a set of tools increasingly used in demography and other social Eye sciences to analyse longitudinal categorical data.Typically, single (e.g., education trajectories) or multiple parallel temporal processes (e.g., work and family) are analysed by using crisp clustering algorithms that reduce complexity by partitioni
Deep learning networks has become an important tool for image AOR ZYMES classification applications.Distortions on images may cause the performance of a classifier to decrease significantly.In the present paper, a comparative investigation for binary classification performance of VGG16 network under corrupted inputs has been presented.For this purp