Enhancing human computer interaction with coot optimization and deep learning for multi language identification.

Human-Computer Interaction (HCI) is a multidisciplinary field focused on designing and utilizing computer technology, underlining the interaction interface between computers and humans. HCI aims to generate systems that allow consumers to relate to computers effectively, efficiently, and pleasantly. Multiple Spoken Language Identification (SLI) for HCI (MSLI for HCI) denotes the ability of a computer system to recognize and distinguish various spoken languages to enable more complete and handy interactions among consumers and technology.

Nano and Battery Anode: A Review.

Improving the anode properties, including increasing its capacity, is one of the basic necessities to improve battery performance. In this paper, high-capacity anodes with alloy performance are introduced, then the problem of fragmentation of these anodes and its effect during the cyclic life is stated. Then, the effect of reducing the size to the nanoscale in solving the problem of fragmentation and improving the properties is discussed, and finally the various forms of nanomaterials are examined.

Dataset for determining rational taxation value with incompatible criteria of economic efficiency and equity.

This article is essentially a dataset necessary for analysing the taxation. The data analysis has allowed to determine the optimal taxation model, when the criteria of economic efficiency and equity are incompatible. The dataset has allowed the use of the method of successive concessions in tax optimization.

BRICS soft power promotion: Dataset for media preference and use pattern among the Russian audience who follow the development of BRICS.

The focal point of the paper is an attempt to identify the most effective way to offer the information about BRICS-related subjects. BRICS organization has already become the topical issue of our research. This paper highlights the research of the best way to deliver BRICS messages.