It is undeniably true that right now data is a really huge presence for all organizations or associations. In this way ensuring its security is vital and the security models driven by genuine datasets has become very ...

Machine learning and its methodologies are used in agribusiness domains to predict edit costs based on stock availability and generation. On a daily basis, a massive amount of data is generated through the display of farming ...

Agriculture crop prices forecasting is a very interesting and high challenging process as it is fully dependent on upcoming production in entire country. Recently most available application is designed for price analysis ...

The bondage number of a nonempty graph is the minimum cardinality among all sets of edges for which. An equitable dominating set is called a total equitable dominating set if the induced subgraph has no isolated vertices. ...

A proper k - coloring of a graph G is a function f : V (G) → {1, 2, ..., k} such that f (u) 6 = f (v) for all uv ∈ E(G). The color class Si is the subset of vertices of G that is assigned to color i. The chromatic number ...

There is a growing power of data mining in business applications, with several solutions already applied and many more being discovered. Since the worldwide financial crisis, risk management in banks has increased more ...

If for any total dominating set D with v∈V(G) - D there exists a vertex u ∈ D such that uv∈E(G) and |d(v) - d(u)|≤ 1 then D is called the total equitable dominating set. The minimum cardinality of the total equitable ...

Introduction to machine learning for making prediction easy and accurate Today's digital world includes IoT data, network security data, mobile data, business data, information technology, data health, etc. It is rich in ...

Millions of structured, semi-structured, and unstructured documents are produced around the globe a day today. Several research societies like IEEE, Elsevier, Springer, and Wiley that we use to publish the scientific ...

The analytical methods used for herbal analysis are need to be economic, fast and also produce minimum quantities of hazardous chemical waste. Presently analytical community put interest in the research area of non-hazardous ...