Machine learning is one of the most exciting recent technologies in Artificial Intelligence.
Learning algorithms in many applications that's we make use of daily. Every time a web …

Crop simulation models are widely used as research tools to explore the impact of various
technologies and compliment field experimentation. Machine learning (ML) approaches …

There are many researchers and data analyst in large companies around the world applied
Machine Learning (ML) in the various study. ML is a subset of Artificial Intelligence (AI) …

The goal of this paper is to predict salary of a person after a certain year. The graphical
representation of predicting salary is a process that aims for developing computerized …

In the fast-moving world, it is noticed that every industry is developing gradually, but recently
it is identified that the use of AI has become the talk of own. Therefore, this study is focused …

Abstractoftware systems are any software product or applications that support business
domains such as Manufacturing, Aviation, Health care, insurance and so on. Software …

This study attempts to introduce artificial intelligence and its significant subfields in machine
learning algorithms and reviews the role of these subfields in various areas in healthcare …

Rock physics has proven its credibility for the quantitative seismic interpretation of reservoir
and reservoir characterization. In this study, we implemented K-means clustering to group …

Online recommender systems are useful for media asset management where they select the
best content from a set of media assets. We are developing a recommender system called …

With the explosion of data in recent times, Machine learning has emerged as one of the most
important methodical approaches to observe significant insights from the vast amount of …