The advancement and introduction of computing technologies has proven to be highly
effective and has resulted in the production of large amount of data that is to be analyzed …

Despite abundant research on the application of artificial intelligence (AI) in reverse
logistics, no comprehensive study with bibliometric and network analysis has been …

To mitigate the accelerated corrosion of blast furnace gas pipelines induced by severe
environmental conditions, this study has established an extensive high-throughput sensor …

In recent years, machine learning models based on big data have been introduced into
marketing in order to transform customer data into meaningful insights and to make strategic …

The study of quantitative and qualitative indicators of the non-metallic mineral deposits
mining based on recognized methods of economic and technological assessment to …

Recently, there is notable development in usage of online learning resources by the
learners. Increasing offerings of online materials to student creates complexity to locate …

With the expanding development of Deep Learning techniques Medical Image Analysis
have become an active field of research. Medical Image Analysis typically refers to the …

It is generally known that, taking wise and challenging decisions is really a crucial task in
every business. Taking improper decisions can cause huge loss and even lead to shutdown …

Air pollution is a severe problem in areas where population density is high such as
metropolitan cities. Various types of emissions caused by people's actions, such as …

This Research work addresses the pressing need within cloud computing for a trust-based
service mechanism that effectively manages the burgeoning volume and variety of data …