Moving object detection (foreground and background) is an important problem in computer vision. Most of the works in this problem are based on background subtraction. However, these approaches are not able to handle ...

The deep neural network shows a consequential performance for a set of specific tasks. A system designed for some correlated task altogether can be feasible for ‘in the wild’ applications. This paper proposes a method ...

In this article, we introduce tempered Mittag-Leffler Lévy processes (TMLLP). TMLLP is represented as tempered stable subordinator delayed by a gamma process. Its probability density function and Lévy density are obtained ...

Fluorescence methods have gained enormous attention due to their ease in use, simplicity, selectivity and sensitivity. Fluorescent chemosensors respond instantly by converting molecular recognition to fluorescent signals. ...

Microwave assisted synthesis of colloidal Nickel nanocrystals is considered as an efficient technique to control particle size and their uniformity. This method is suitable for large-scale synthesis of the nanocrystals, ...

The performance of nanofluid-based solar collector depends on different factors like nanoparticle material, base fluid, mass fraction of nanoparticles, height of the collector, length of the collector, incident solar flux, ...

The chemical shift anisotropy (CSA) interaction of a nucleus is an important indicator of the local electronic environment particularly for the contributions arising from hydrogen (H)-bonding, electrostatic and π-π ...

A highly efficient protocol to access carbazole from donor−acceptor cyclopropane and indonyl alcohol via [3+3] annulation in the presence of a Lewis acid has been demonstrated. This method facilitates the post functionalization ...

In this study, the preparation of economical Cu-based catalysts for Pd-free coupling and oxidation reactions was demonstrated. For the preparation of the Cu-based catalyst, first, a Cu-BTC MOF was prepared under ambient ...

In this study, new feature descriptors are designed for medical image retrieval and change detection applications, respectively. Inspired by isomerism, the authors propose a novel feature descriptor named antithetic ...