Abstract Machine learning (ML) with data analysis has many successful applications and is
widely employed daily. Additionally, they have played a significant role in combating the …

Background: COVID 19 created a challenging situation for many of the industries across the
globe. Our primary focus is on the most affected airline industry. In this paper, the …

Diabetes mellitus is responsible for not only high health-care costs, but has also become a
major cause of death prevailing over the past few decades, accounting for about 2, 23,000 …

Rising demand and the potential decline in renewables resources have made energy
production one of the most important challenges of the future. In hydropower plants, various …

India is an agricultural country; agriculture is known as the backbone of the Indian economy,
where more than 60°/c of the Indian population depend on agriculture for their living. Crop …

This research examines the impacts of climate change and socio-economic variables on the
hydrological cycle, reservoir water management, and hydropower capacity at the Gezhouba …

Background: Graph analytics is one of the foremost established and unique strategies
utilized in taking care of present-day designing issues. In this study, this procedure was …

In this paper we discussed the prominence of Bipolar fuzzy graphs (BFG). Fuzzy set assigns
a sequence of membership values to the elements of the universal set ranging from 0 to 1 …

The main aim of the research is to build a model that can effectively predict the type of
mineral rocks. Rocks can be predicted by observing it is colour, shape and chemical …

Introduction: In IOT, very few problems were solved by using optimal n-edge connected
networks; however, this is the first attempt to increase the performance of IOT by optimal n …