k nearest neighbours (kNN) queries are fundamental in many applications, ranging from
data mining, recommendation system and Internet of Things, to Industry 4.0 framework …

As the number of users getting acquainted with the Internet is escalating rapidly, there is
more user-generated content on the web. Comprehending hidden opinions, sentiments, and …

Rice is a very essential food for the survival of human society. Most of the people focus on
production of rice for their financial gain as well as their survival in the society. Rice …

Numerous goods and services are now offered through online platforms due to the recent
growth of online transactions like e-commerce. Users have trouble locating the product that …

Abstract Web users are flooded with information on the internet, and they feel overwhelmed
by the different choices they have to make online daily. Recommender systems come to their …

Air pollution is one of the biggest concerns in the world but it has not been paid much
attention in develo** countries. It is necessary to design models and methods to …

Exoplanet detection is an extremely active research topic in astronomy. Researchers in the
past have attempted to detect exoplanets using conventional methods like Radial Velocity …

Nowadays, e-commerce platforms, such as Amazon, Flipkart, Netflix and YouTube,
extensively use recommender systems (RS) techniques. Collaborative filtering (CF) is used …

In recent years, the effectiveness of integrating machine learning methods to predict surface
roughness in machining processes has become well-established. However, there is a …

In the present scenario, the product recommendation system is important to boost sales on
many e-commerce websites. The majority of the existing product recommendation systems …